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Author  |
Robert Power; Bella Robinson; John Colton; Mark Cameron |
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Title |
A Case Study for Monitoring Fires with Twitter |
Type |
Conference Article |
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Year |
2015 |
Publication |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2015 |
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Keywords |
Disaster Management; Situational Awareness; social media; Twitter |
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Abstract |
This paper presents a user configurable monitoring system to track in near-real-time tweets describing fire events. The system targets fire related words in a user defined region of interest published on Twitter which are further processed by a text classifier to determine if they describe a known fire event of interest. The system was motivated from a case study that examined a corpus of tweets posted during active bushfires. This demonstrated that useful information is available on Twitter about fire events from people who are in the vicinity.
We present an overview of the system describing how it is initially configured by a user to focus on specific fire events in Australia, the development of a text classifier to identify tweets of interest, especially those with accompanying photos, and the monitoring system that can track multiple events at once. |
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Publisher |
University of Agder (UiA) |
Place of Publication |
Kristiansand, Norway |
Editor |
L. Palen; M. Buscher; T. Comes; A. Hughes |
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Language |
English |
Summary Language |
English |
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ISSN |
2411-3387 |
ISBN |
9788271177881 |
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Track |
Social Media Studies |
Expedition |
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Conference |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
yes |
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Call Number |
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Serial |
1237 |
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Author |
Robert Power; Bella Robinson; Mark Cameron |
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Title |
Insights from a Decade of Twitter Monitoring for Emergency Management |
Type |
Conference Article |
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Year |
2023 |
Publication |
Proceedings of the ISCRAM Asia Pacific Conference 2022 |
Abbreviated Journal |
Proc. ISCRAM AP 2022 |
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Volume |
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Issue |
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Pages |
247-257 |
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Keywords |
Crisis Coordination; Disaster Management; Situation Awareness; Social Media; System Architecture; Twitter |
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Abstract |
The Emergency Situation Awareness (ESA) tool began as a research study into automated web text mining to support emergency management use cases. It started in late 2009 by investigating how people respond on Twitter to specific emergency events and we quickly realized that every emergency situation is different and preemptively defining keywords to search for content on Twitter beforehand would likely miss important information. So, in late September 2011 we established location-based searches with the aim of collecting all the tweets published in Australia and New Zealand. This was the beginning of over a decade of collecting and processing tweets to help emergency response agencies and crisis coordination centres use social media content as a new channel of information to support their work practices and to engage with the community impacted by emergency events. This journey has seen numerous challenges overcome to continuously maintain a tweet stream for an operational system. This experience allows us to derive insights into the changing use of Twitter over this time. In this paper we present some of the lessons we’ve learned from maintaining a Twitter monitoring system for emergency management use cases and we provide some insights into the changing nature of Twitter usage by users over this period. |
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CSIRO Data61; CSIRO Data61; CSIRO Data61 |
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Publisher |
Massey Unversity |
Place of Publication |
Palmerston North, New Zealand |
Editor |
Thomas J. Huggins, V.L. |
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Language |
English |
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ISSN |
2411-3387 |
ISBN |
978-0-473-66845-7 |
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Track |
Social Media for Disaster Response |
Expedition |
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Approved |
no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2498 |
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Author |
Robert Thomson; Naoya Ito; Hinako Suda; Fangyu Lin; Yafei Liu.; Ryo Hayasaka; Ryuzo Isochi; Zhou Wang |
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Title |
Trusting tweets: The Fukushima disaster and information source credibility on Twitter |
Type |
Conference Article |
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Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
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Keywords |
Cell culture; Information systems; Nuclear power plants; Social networking (online); Anonymity; Credibility; Crisis communications; Deindividuation; Fukushima; Social media; Trust; Twitter; Disasters |
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Abstract |
This paper focuses on the micro-blogging service Twitter, looking at source credibility for information shared in relation to the Fukushima Daiichi nuclear power plant disaster in Japan. We look at the sources, credibility, and between-language differences in information shared in the month following the disaster. Messages were categorized by user, location, language, type, and credibility of information source. Tweets with reference to third-party information made up the bulk of messages sent, and it was also found that a majority of those sources were highly credible, including established institutions, traditional media outlets, and highly credible individuals. In general, profile anonymity proved to be correlated with a higher propensity to share information from low credibility sources. However, Japanese-language tweeters, while more likely to have anonymous profiles, referenced low-credibility sources less often than non-Japanese tweeters, suggesting proximity to the disaster mediating the degree of credibility of shared content. © 2012 ISCRAM. |
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Address |
Graduate School of International Media, Communication and Tourism Studies, Japan; Research Faculty of Media Communication, Hokkaido University, Japan |
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Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Volume |
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ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
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Track |
Social Media and Collaborative Systems |
Expedition |
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Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
216 |
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Author |
Robin Batard; Caroline Rizza; Aurélie Montarnal; Frédérick Bénaben; Christophe Prieur |
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Title |
Taxonomy of post-impact volunteerism types to improve citizen integration into crisis response |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Keywords |
Citizens, Volunteers, Taxonomy, Social Media, Citizen Integration |
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Abstract |
Information and Communication Technologies (ICT), and particularly Social Media, drastically changed communication channels and organization during a crisis response. In this context, new forms of citizen initiatives appear, contributing to situational awareness, providing new profiles of stakeholders and broadening the scope of volunteerism in disaster situations. Thus, given the increasing need to understand and take citizen initiatives into account, this article provides a taxonomy of volunteerism types in crisis contexts, based on a literature review on the subject. Mapped on two main dimensions: the status (who they are) and the focus (what they are doing), multiple types of volunteers are presented on this taxonomy. Then, the article deals with possible use of this taxonomy towards integration of citizen initiatives into the crisis response. |
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Address |
Telecom ParisTech;IMT Mines Albi |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T11- Community Engagement & Healthcare Systems |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1968 |
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Author |
Robin Batard; Frederick Benaben; Aurélie Montarnal; Christophe Prieur; Caroline Rizza |
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Title |
Ethical, Legal and Social considerations surrounding the use of social media by citizens during Hurricane Irma in Cuba |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Volume |
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Issue |
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Pages |
268-275 |
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Keywords |
ELSI, Social Media, Volunteers, Citizens, Hurricane Irma |
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Abstract |
While Hurricane Irma struck the Cuban Southern coasts, thousands of tourists were evacuated from this area and relocated in the Varadero peninsula. In a couple of days, all means for families and friends to connect with the tourists were down, leaving them without any information about the on-site situation. This paper focuses on the volunteer citizens' initiative to take advantage of social media, to enhance their own situational awareness in Varadero area, supporting fellow citizens to identify and localize their relatives. In particular, two Facebook groups that were created at the time are analyzed and their messages' content and objectives categorized. We will show that once more, social media has constituted opportunities for citizens to engage a specific response to the crisis, but at the same time has raised specific ethical and social issues. |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
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Track |
Ethical, Legal and Social Issues |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
2106 |
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Author |
Robin Peters; João Porto de Albuquerque |
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Title |
Investigating images as indicators for relevant social media messages in disaster management |
Type |
Conference Article |
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Year |
2015 |
Publication |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2015 |
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Issue |
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Pages |
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Keywords |
Disaster Management; Flood; Germany; social media; Volunteered Geographic Information |
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Abstract |
The use of social media during disasters has received increasing attention in studies of the past few years. Existing research is mostly focused upon analyzing text-based messages from social media platforms such as Twitter, while image-based platforms have not been extensively addressed hitherto. However, pictures taken on-the-ground can offer reliable and valuable information for improving situation awareness and could be used as proxy indicators for relevance. To test this hypothesis, this work explores various social media platforms, including image- and text-based ones in the case of floods in Saxony 2013, Germany. Results show that there is a significant association between disaster-related messages containing images and their proximity to the disaster event. Hence, the existence of an image within a social media message can serve as an indicator for high probability of relevant content, and thus can be used for enhancing information extraction from social media towards improving situation awareness. |
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Publisher |
University of Agder (UiA) |
Place of Publication |
Kristiansand, Norway |
Editor |
L. Palen; M. Buscher; T. Comes; A. Hughes |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9788271177881 |
Medium |
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Track |
Social Media Studies |
Expedition |
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Conference |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
yes |
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Call Number |
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Serial |
1240 |
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Author |
Rode-Hasinger, S.; Haberle, M.; Racek, D.; Kruspe, A.; Zhu Xiao Xiang |
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Title |
TweEvent: A dataset of Twitter messages about events in the Ukraine conflict |
Type |
Conference Article |
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Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
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Volume |
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Issue |
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Pages |
407-416 |
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Keywords |
Conflict; Ukraine; Dataset; Social Media; NLP |
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Abstract |
Information about incidents within a conflict, e.g., shelling of an area of interest, is scattered amongst different data or media sources. For example, the ACLED dataset continuously documents local incidents recorded within the context of a specific conflict such as Russia’s war in Ukraine. However, these blocks of information might be incomplete. Therefore, it is useful to collect data from several sources to enrich the information pool of a certain incident. In this paper, we present a dataset of social media messages covering the same war events as those collected in the ACLED dataset. The information is extracted from automatically geocoded Twitter text data using state-of-the-art natural language processing methods based on large pre-trained language models (LMs). Our method can be applied to various textual data sources. Both the data as well as the approach can serve to help human analysts obtain a broader understanding of conflict events. |
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Address |
Technical University of Munich; Technical University of Munich; Ludwig-Maximilians-Universitat M¨unchen; Technische Hochschule N¨urnberg; Technical University of Munich |
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Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
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Language |
English |
Summary Language |
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Original Title |
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Series Editor |
Hosssein Baharmand |
Series Title |
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Series Issue |
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Edition |
1 |
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ISSN |
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ISBN |
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Medium |
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Track |
Social Media for Crisis Management |
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Conference |
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Notes |
http://dx.doi.org/10.59297/AIDF1102 |
Approved |
no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2535 |
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Author |
Roser Beneito-Montagut; Susan Anson; Duncan Shaw; Christopher Brewster |
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Title |
Governmental social media use for emergency communication |
Type |
Conference Article |
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Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
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Volume |
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Issue |
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Pages |
828-833 |
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Keywords |
Civil defense; Disasters; Information systems; Risk management; Emergency communication; Emergency management; Governmental agency; Information flows; Institutional resilience; Social media; Web 2.0 tools; Societies and institutions |
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Abstract |
The possibility of crowdsourced information, multi-geographical and multi-organisational information flows during emergencies and crises provided by web 2.0 tools are providing emergency management centres with new communication challenges and opportunities. Building on the existing emergency management and social media literature, this article explores how institutions are using and adopting social media for emergency communication. By examining the drivers and barriers of social media adoption in two European governmental agencies dealing with emergencies, the paper aims to establish a framework to examine whether and how institutional resilience could be improved. |
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Address |
Aston Business School, United Kingdom; Warwick Business School, United Kingdom |
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Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
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Language |
English |
Summary Language |
English |
Original Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
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Track |
Social Media |
Expedition |
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Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
302 |
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Author |
Ryo Otaka; Osamu Uchida; Keisuke Utsu |
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Title |
Prototype of Notification and Status Monitoring System Using LINE Smartphone Application to Support Local Communities |
Type |
Conference Article |
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Year |
2018 |
Publication |
Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. |
Abbreviated Journal |
Iscram Ap 2018 |
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Volume |
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Issue |
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Pages |
450-458 |
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Keywords |
Care, Application, Social media |
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Abstract |
Japanese society is aging rapidly, so an increasing number of households currently consists of only elderly single people or couples. We propose a system that uses LINE (a mobile communication application) for sending notices containing information from local governments to elderly or physically disabled people, as well as for efficient monitoring by local governments and social workers of the health conditions and statuses of such people. Our system can be used by anyone who has a smartphone with LINE installed. We have also conducted an operational test of a prototype of our system. |
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Address |
Tokai University; Tokai University; Tokai University |
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Publisher |
Massey Univeristy |
Place of Publication |
Albany, Auckland, New Zealand |
Editor |
Kristin Stock; Deborah Bunker |
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Language |
English |
Summary Language |
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Original Title |
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Track |
Social Media and Community Engagement Supporting Resilience Building |
Expedition |
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Conference |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1659 |
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Author |
Samuel Lee Toepke |
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Title |
Leveraging Elasticsearch and Botometer to Explore Volunteered Geographic Information |
Type |
Conference Article |
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Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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Volume |
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Issue |
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Pages |
663-676 |
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Keywords |
Crisis Management and Response, Elasticsearch, Social Media, Volunteered Geographic Information, Botometer |
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Abstract |
In the past year, numerous weather-related disasters have continued to display the critical importance of crisis management and response. Volunteered geographic information (VGI) has been previously shown to provide illumination during all parts of the disaster timeline. Alas, for a geospatial area, the amount of data provided can cause information overload, and be difficult to process/visualize. This work presents a set of open-source tools that can be easily configured, deployed and maintained, to leverage data from Twitter's streaming service. The user interface presents data in near real-time, and allows for dynamic queries, visualizations, maps and dashboards. Another VGI challenge is quantifying trustworthiness of the data. The presented work shows integration of a Twitter-bot assessment service, which uses several heuristics to determine the bot-ness of a Twitter account. Architecture is described, Twitter data from a major metropolitan area is explored using the tools, and conclusions/follow-on work are discussed. |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
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Track |
Social Media Studies |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
2140 |
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Author |
Samuel Lee Toepke; R. Scott Starsman |
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Title |
Population Distribution Estimation of an Urban Area Using Crowd Sourced Data for Disaster Response |
Type |
Conference Article |
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Year |
2015 |
Publication |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2015 |
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Pages |
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Keywords |
Disaster Response; enterprise application; GIS; mobile computing; social media |
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Abstract |
In the event of a disaster, high resolution knowledge of expected population distribution is a boon to the situational awareness of disaster managers and first responders. Knowing the expected locations of large throngs of people can greatly affect distribution of aid and response infrastructure. Effective dissemination of this information can be realized by using a myriad of readily available technologies.
With the modern proliferation of smart phones, pervasive Internet and freely available social media applications, population distribution can be estimated from the constant aggregation of crowd sourced data. Twitter and Instagram both publish geolocated data, which is then processed by a cloud-based, enterprise application to generate heat maps. The heat maps are then shown in a real-time geographic information system that is visible to any mobile device with a web browser. |
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Publisher |
University of Agder (UiA) |
Place of Publication |
Kristiansand, Norway |
Editor |
L. Palen; M. Buscher; T. Comes; A. Hughes |
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Language |
English |
Summary Language |
English |
Original Title |
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ISSN |
2411-3387 |
ISBN |
9788271177881 |
Medium |
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Track |
Geospatial Data and Geographical Information Science |
Expedition |
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Conference |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1212 |
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Author |
Sandrine Bubendorff; Caroline Rizza |
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Title |
The Wikipedia Contribution to Social Resilience During Terrorist Attacks |
Type |
Conference Article |
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Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
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Issue |
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Pages |
790-801 |
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| |
Keywords |
Wikipedia, Resilience Process, Terrorist Attacks, Social Media. |
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| |
Abstract |
This paper aims at studying the role of Wikipedia in social resilience processes during terrorist attacks. It discusses how Wikipedia users' specific skills are mobilized in order to make sense of the event as it unfolds. We have conducted an ethnographic analysis of several Wikipedia's terrorist attacks pages as well as interviews with regular Wikipedia's contributors. We document how Wikipedia is used during crisis by readers and contributors. Doing so, we identify a specific pace of contributions which provides reliable information to readers. By discussing the conditions of their trustworthiness, we highlight how historical sources (i.e. traditional media and authorities) support this pace. Our analyses demonstrate that citizens are engaging very quickly in processes of resilience and should be, therefore, considered as relevant partners by authorities when engaging a response to the crisis. |
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Address |
i3-SES, Telecom Paris, IP Paris, CNRS; i3-SES, Telecom Paris, IP Paris, CNRS |
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Corporate Author |
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Thesis |
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| |
Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
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| |
Language |
English |
Summary Language |
English |
Original Title |
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| |
Series Editor |
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Series Title |
|
Abbreviated Series Title |
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|
| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
978-1-949373-27-70 |
ISBN |
2411-3456 |
Medium |
|
|
| |
Track |
Social Media for Disaster Response and Resilie |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
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| |
Notes |
sandrine.bubendorff@telecom-paristech.fr |
Approved |
no |
|
| |
Call Number |
|
Serial |
2271 |
|
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| |
|
Author |
Shane Errol Halse; Aurélie Montarnal; Andrea Tapia; Frederick Benaben |
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| |
Title |
Bad Weather Coming: Linking social media and weather sensor data |
Type |
Conference Article |
| |
Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
|
| |
Volume |
|
Issue |
|
Pages |
507-515 |
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| |
Keywords |
Twitter; weather; sensor data; social media |
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Abstract |
In this paper we leverage the power of citizen supplied data. We examined how both physical weather sensor data (obtained from the weather underground API) and social media data (obtained from Twitter) can serve to improve local community awareness during a severe weather event. A local tornado warning was selected due to its small scale and isolated geographic area, and only Twitter data found from within this geo-locational area was used. Our results indicate that during a severe weather event, an increase in weather activity obtained from the local weather sensors does correlate with an increase in local social media usage. The data found on social media also contains additional information from, and about the community of interest during the event. While this study focuses on a small scale event, it provides the groundwork for use during a much larger weather event. |
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Address |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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| |
Language |
English |
Summary Language |
English |
Original Title |
|
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| |
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
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| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
|
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| |
Track |
Social Media Studies |
Expedition |
|
Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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| |
Notes |
|
Approved |
no |
|
| |
Call Number |
|
Serial |
2127 |
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|
Author |
Shane Errol Halse; Rob Grace; Jess Kropczynski; Andrea Tapia |
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| |
Title |
Simulating real-time Twitter data from historical datasets |
Type |
Conference Article |
| |
Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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| |
Volume |
|
Issue |
|
Pages |
|
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| |
Keywords |
Twitter, Simulation, Crisis Response, Social Media |
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Abstract |
In this paper, we will discuss a system design for simulating social media data based on historical datasets. While many datasets containing data collected from social media during crisis have become publicly available, there is a lack of tools or systems can present this data on the same timeline as it was originally posted. Through the design and use of the tool discussed in this paper, we show how historical datasets can be used for algorithm testing, such as those used in machine learning, to improve the quality of the data. In addition, the use of simulated data also has its benefits in training scenarios, which would allow participants to see real, non-fabricated social media messages in the same temporal manner as found on a social media platform. Lastly, we will discuss the positive reception and future improvements suggested by 911 Public Service Answering Point (PSAP) professionals. |
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Address |
PSU, United States of America;University of Cincinnati |
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Corporate Author |
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Thesis |
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| |
Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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| |
Language |
English |
Summary Language |
English |
Original Title |
|
|
| |
Series Editor |
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Series Title |
|
Abbreviated Series Title |
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|
| |
Series Volume |
|
Series Issue |
|
Edition |
|
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| |
ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
|
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| |
Track |
T8- Social Media in Crises and Conflicts |
Expedition |
|
Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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| |
Notes |
|
Approved |
no |
|
| |
Call Number |
|
Serial |
1898 |
|
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| |
|
Author |
Shane Halse; Jess Kropczynski; Andrea Tapia |
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| |
Title |
Using Metrics of Stability to Identify Points of Failure and Support in Online Information Distribution during a Disaster |
Type |
Conference Article |
| |
Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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| |
Volume |
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Issue |
|
Pages |
1121-1121 |
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| |
Keywords |
Information distribution, Social Media, Stability, Hurricane Sandy, Hurricane, Twitter, Social Network Analysis, Crisis |
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Abstract |
We utilize the 2012 Hurricane Sandy dataset to investigate methods to measure network stability during a crisis. While previous research on information distribution has focused on individuals that are most connected, or most willing to share information, we examined this dataset for indicators of network stability. The value of this measure is to identify the points of failure within the network. The findings in this paper provide support for the use of social network analysis within the realm of crisis response to identify the points of failure within the network. |
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Address |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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| |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
|
Abbreviated Series Title |
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| |
Series Volume |
|
Series Issue |
|
Edition |
|
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| |
ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
|
|
| |
Track |
Poster |
Expedition |
|
Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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| |
Notes |
|
Approved |
no |
|
| |
Call Number |
|
Serial |
2184 |
|
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| |
|
Author |
Shane Halse; Jomara Binda; Samantha Weirman |
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| |
Title |
It's what's outside that counts: Finding credibility metrics through non-message related Twitter features |
Type |
Conference Article |
| |
Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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| |
Volume |
|
Issue |
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Pages |
516-528 |
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Keywords |
Twitter; social media; trust |
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Abstract |
Social media data, such as Twitter, enables crisis response personnel and civilians to share information during a crisis situation. However, a lack of information gatekeeping processes also translates into concerns about both content and source credibility. This research aims to identify Twitter metrics which could assist with the latter. A 2 (average number of hashtags used) x 2 (ratio of tweets/retweets posted) x 2 (ratio of follower/followee) between-subjects experiment was conducted to evaluate the level of influence of Twitter broker metrics on behavioral intention and the perception of source credibility. The findings indicate that follower/followee ratio in conjunction with hashtag usage approached a significant effect on perceived source credibility. In addition, both Twitter awareness metrics and dispositional trust played an important role in determining behavioral intentions and perceived source credibility. Implications and limitations are also discussed. |
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Address |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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| |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
|
Edition |
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| |
ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
|
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| |
Track |
Social Media Studies |
Expedition |
|
Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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| |
Notes |
|
Approved |
no |
|
| |
Call Number |
|
Serial |
2128 |
|
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| |
|
Author |
Shangde Gao; Yan Wang; Lisa Platt |
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| |
Title |
Modeling U.S. Health Agencies' Message Dissemination on Twitter and Users' Exposure to Vaccine-related Misinformation Using System Dynamics |
Type |
Conference Article |
| |
Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
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Volume |
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Issue |
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Pages |
333-344 |
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Keywords |
COVID-19, misinformation, social media, System Dynamics, vaccine hesitancy |
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Abstract |
This research intends to answer: how do (i) generation frequency and (ii) retweeting count of health agencies' messages impact the exposure of the general users to vaccine-related misinformation on Twitter? We creatively employed a Susceptible-Infected-Recovered (SIR) System Dynamics paradigm to model interactions between message dissemination of 168 U.S. health agencies and proportions of users who are at different exposure statuses to misinformation, namely “Susceptible”, “Infected”, or “Recovered” status. The SIR model was built based on the vaccine-relevant tweets posted over November and December in 2020. Our preliminary outcomes suggest that augmenting the generation frequency of agencies' messages and increasing retweeting count can effectively moderate the exposure risk to vaccine-related misinformation. This model illustrates how health agencies may combat vaccine hesitancy through credible information dissemination on social media. It offers a novel approach for crisis informatics studies to model different information categories and the impacted population in the complex digital world. |
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Address |
University of Florida; University of Florida; University of Florida |
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Corporate Author |
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Thesis |
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Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-61-5 |
ISBN |
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Medium |
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Track |
Disaster Public Health & Healthcare Informatics in the Pandemic |
Expedition |
|
Conference |
18th International Conference on Information Systems for Crisis Response and Management |
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Notes |
gao.shangde@ufl.edu |
Approved |
no |
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| |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2337 |
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| |
|
Author |
Sherri L. Condon; Jason R. Robinson |
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| |
Title |
Communication media use in emergency response management |
Type |
Conference Article |
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Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
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Volume |
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Issue |
|
Pages |
687-696 |
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| |
Keywords |
Information systems; Managers; Catastrophic event; Communication media; Emergency response; Emergency response management; Information and Communication Technologies; Instant messaging; Social media; University campus; Emergency services |
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Abstract |
The communications of emergency response managers were tracked during simulated catastrophic events at a university campus in the Washington, D.C. region. Local, state, and federal response managers interacted with each other and with students using a variety of communication media in order to investigate the utility of new communication channels for emergency response management. Students and emergency managers interacted using a Twitter-like platform and a portal built with Ushahidi crowd-sourcing software. The emergency managers also used a chat interface that included private instant messaging, telephone, and the county's existing emergency web portal. Their media use was analyzed along with the functions of their communications, and the patterns that emerged are described and quantified. |
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Address |
MITRE Corporation, United States |
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Corporate Author |
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Thesis |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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| |
ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
|
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| |
Track |
Social Media in Crisis Response and Management |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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| |
Notes |
|
Approved |
no |
|
| |
Call Number |
|
Serial |
412 |
|
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| |
|
Author |
Shideh Dashti; Leysia Palen; Mehdi P. Heris; Kenneth M. Anderson; T. Jennings Anderson; Scott Anderson |
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| |
Title |
Supporting disaster reconnaissance with social media data: A design-oriented case study of the 2013 Colorado floods |
Type |
Conference Article |
| |
Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
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| |
Volume |
|
Issue |
|
Pages |
632-641 |
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| |
Keywords |
Disasters; Information systems; Crisis informatics; Engineering reconnaissance; Extreme events; Infrastructure performance; Situational awareness; Social media; Floods |
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Abstract |
Engineering reconnaissance following an extreme event is critical in identifying the causes of infrastructure failure and minimizing such consequences in similar future events. Typically, however, much of the data about infrastructure performance and the progression of geological phenomena are lost during the event or soon after as efforts move to the recovery phase. A better methodology for reliable and rapid collection of perishable hazards data will enhance scientific inquiry and accelerate the building of disaster-resilient cities. In this paper, we explore ways to support post-event reconnaissance through the strategic collection and reuse of social media data and other remote sources of information, in response to the September 2013 flooding in Colorado. We show how tweets, particularly with postings of visual data and references to location, may be used to directly support geotechnical experts by helping to digitally survey the affected region and to navigate optimal paths through the physical space in preparation for direct observation. |
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Address |
University of Colorado Boulder, United States; Federal Highway Administration, United States |
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Corporate Author |
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Thesis |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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| |
ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
|
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| |
Track |
Social Media in Crisis Response and Management |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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| |
Notes |
|
Approved |
no |
|
| |
Call Number |
|
Serial |
423 |
|
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| |
|
Author |
Simon Tucker; Vitaveska Lanfranchi; Neil Ireson; Alfonso Sosa; Gregoire Burel; Fabio Ciravegna |
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| |
Title |
Straight to the information I need: Assessing collational interfaces for emergency response |
Type |
Conference Article |
| |
Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
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Volume |
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Issue |
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Pages |
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Keywords |
Information systems; Emergency response; Information overloads; Paper-based interfaces; Situational awareness; Social media; User study; Emergency services |
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Abstract |
Collational interfaces gather information from a range of sources and present them to users. Information overload is tackled by processing information in the back-end and providing interactive means to filter and browse data. Such interfaces have applications in emergency response – giving users the right information to act effectively. In this paper we explore a collational interface for emergency response, carrying out a user study that compares it to a paper based interface and one which presents data without collating it. We demonstrate that a collational interface allows users to build a picture of an emergency, but not necessarily in less time. © 2012 ISCRAM. |
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Address |
Department of Computer Science, University of Sheffield, United Kingdom; Knowledge Media Institute, Open University, United Kingdom |
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Corporate Author |
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Thesis |
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Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
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| |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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| |
Series Volume |
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Series Issue |
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Edition |
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| |
ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
|
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| |
Track |
Social Media and Collaborative Systems |
Expedition |
|
Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
|
Approved |
no |
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| |
Call Number |
|
Serial |
221 |
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| |
|
Author |
Songhui Yue; Jyothsna Kondari; Aibek Musaev; Songqing Yue; Randy Smith |
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| |
Title |
Using Twitter Data to Determine Hurricane Category: An Experiment |
Type |
Conference Article |
| |
Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
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| |
Volume |
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Issue |
|
Pages |
718-726 |
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| |
Keywords |
Social Media Data, Hurricane Category, Twitter, Prediction |
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| |
Abstract |
Social media posts contain an abundant amount of information about public opinion on major events, especially natural disasters such as hurricanes. Posts related to an event, are usually published by the users who live near the place of the event at the time of the event. Special correlation between the social media data and the events can be obtained using data mining approaches. This paper presents research work to find the mappings between social media data and the severity level of a disaster. Specifically, we have investigated the Twitter data posted during hurricanes Harvey and Irma, and attempted to find the correlation between the Twitter data of a specific area and the hurricane level in that area. Our experimental results indicate a positive correlation between them. We also present a method to predict the hurricane category for a specific area using relevant Twitter data. |
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Address |
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Corporate Author |
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Thesis |
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| |
Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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| |
Language |
English |
Summary Language |
English |
Original Title |
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| |
Series Editor |
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Series Title |
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Abbreviated Series Title |
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| |
Series Volume |
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Series Issue |
|
Edition |
|
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| |
ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
|
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| |
Track |
Social Media Studies |
Expedition |
|
Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
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| |
Notes |
|
Approved |
no |
|
| |
Call Number |
|
Serial |
2145 |
|
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| |
|
| |
|
Author |
Sooji Han; Fabio Ciravegna |
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| |
Title |
Rumour Detection on Social Media for Crisis Management |
Type |
Conference Article |
| |
Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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| |
Volume |
|
Issue |
|
Pages |
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| |
Keywords |
Rumours, large-scale data, event summarisation, sub-event detection, social media analysis |
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| |
Abstract |
We address the problem of making sense of rumour evolution during crises and emergencies. We study how
understanding and capturing emerging rumours can benefit decision makers during such event. To this end, we
propose a two-step framework for detecting rumours during crises. In the first step, we introduce an algorithm to
identify noteworthy sub-events in real time. In the second step, we introduce a graph-based text ranking method
for summarising newsworthy sub-events while events unfold. We use temporal and content-based features to
achieve the effective and real-time response and management of crises situations. These features can improve
efficiency in the detection of key rumours in the context of a real-world application. The effectiveness of our
method is evaluated over large-scale Twitter data related to real-world crises. The results show that our framework
can efficiently and effectively capture key rumours circulated during natural and human-made disasters. |
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Address |
The University of Sheffield, United Kingdom |
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| |
Corporate Author |
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Thesis |
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| |
Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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| |
Language |
English |
Summary Language |
English |
Original Title |
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| |
Series Editor |
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Series Title |
|
Abbreviated Series Title |
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| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
|
|
| |
Track |
T8- Social Media in Crises and Conflicts |
Expedition |
|
Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
|
| |
Notes |
|
Approved |
no |
|
| |
Call Number |
|
Serial |
1860 |
|
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| |
|
| |
|
Author |
Sophia B. Liu; Leysia Palen; Jeannette N. Sutton; Amanda L. Hughes; Sara Vieweg |
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| |
Title |
In search of the bigger picture: The emergent role of on-line photo sharing in times of disaster |
Type |
Conference Article |
| |
Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
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| |
Volume |
|
Issue |
|
Pages |
140-149 |
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| |
Keywords |
Disasters; Information systems; Citizen journalism; Convergence; Crisis informatics; Flickr; Photo sharing; Social media; Emergency services |
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Abstract |
Eyewitness photography is increasingly playing a more significant role in disaster response and recovery efforts. This research elaborates on the ways in which members of the public participate during times of disaster by closely examining the evolving role of a prominent photo-sharing website, Flickr, in events that have occurred since its launch in February 2004. We discuss features of Flickr's emerging evolutionary growth as a community forum for disaster-related grassroots activity based on the findings from our qualitative study of 29 groups across six disasters over Flickr's nearly three-year lifespan. Our findings discuss efforts toward the development of norms that attempt to guide the nature of social practice around photographic content during disaster response and recovery efforts. |
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Address |
ConnectivIT Lab, Natural Hazards Center, University of Colorado, Boulder, United States |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
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Track |
Virtual Teams and Virtual Communities in Emergency Preparedness and Response |
Expedition |
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Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
716 |
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Author |
Sophie Gerstmann; Hans Betke; Stefan Sackmann |
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Title |
Towards Automated Individual Communication for Coordination of Spontaneous Volunteers |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Spontaneous volunteers, chatbot, social media, system architecture |
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Abstract |
In recent years, spontaneous volunteers often turned out to be a critical factor to overcome disaster situations and
avoid further damages to life and assets. These Volunteers coordinate their activities using social media and
mobile devices but are not integrated in usual command and control structures of disaster responders. The lack of
professional disaster response knowledge leads to a waste of potential workforce or even dangerous situations for
the volunteers. In this paper, a novel approach for a centralized coordination of spontaneous volunteers through
disaster response professionals while using popular communication channels esp. messaging services (e.g.
Facebook Messenger, WhatsApp) is presented. The architecture of a volunteer coordination system focusing on
automated multi-channel communication is shown and the possibilities of a universal chatbot for individual
assignment and scheduling of volunteers are discussed. The paper also provides first insights in a demonstrator
system as a practical solution. |
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Address |
Martin-Luther University Halle-Wittenberg, Germany |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T8- Social Media in Crises and Conflicts |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1965 |
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Author |
St. Denis, L.A.; Hughes, A.L. |
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Title |
Use of Statistics in Disaster by Local Individuals: An Examination of Tweets during COVID-19 |
Type |
Conference Article |
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Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
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Volume |
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Issue |
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Pages |
449-458 |
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Keywords |
Social Media; Statistics; COVID-19; Pandemic |
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Abstract |
We report on how individuals local to the US state of Colorado used statistics in tweets to make sense of the early stages of the COVID-19 pandemic. Tweets provided insight into how people interpreted statistical data, sometimes incorrectly, which has implications for crisis responders tasked with understanding public perceptions and providing accurate information. With widespread concerns about the accuracy and quality of online information, we show how monitoring public reactions to and uses of statistics on social media is important for improving crisis communication. Findings suggest that statistics can be a powerful tool for making sense of a crisis and coping with the stress and uncertainty of a global, rapidly evolving event like the COVID-19 pandemic. We conclude with broader implications for how crisis responders might improve their communications around statistics to the public, and suggestions for how this research might be expanded to look at other types of disasters. |
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Address |
CIRES, Earth Lab University of Colorado; Crisis Informatics Lab Brigham Young University |
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Corporate Author |
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Thesis |
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Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
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Language |
English |
Summary Language |
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Original Title |
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Series Editor |
Hosssein Baharmand |
Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
1 |
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ISSN |
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ISBN |
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Medium |
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Track |
Social Media for Crisis Management |
Expedition |
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Conference |
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Notes |
http://dx.doi.org/10.59297/KBIJ7756 |
Approved |
no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2539 |
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