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Author Sofia Eleni Spatharioti; Seth Cooper
Title On Variety, Complexity, and Engagement in Crowdsourced Disaster Response Tasks Type Conference Article
Year 2017 Publication Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2017
Volume Issue Pages 489-498
Keywords crowdsourcing; Amazon Mechanical Turk; variety; complexity; engagement
Abstract Crowdsourcing is used to enlist workers as a resource for a variety of applications, including disaster response. However, simple tasks such as image labeling often feel monotonous and lead to worker disengagement. This provides a challenge for designing successful crowdsourcing systems. Existing research in the design of work indicates that task variety is a key factor in worker motivation. Therefore, we asked Amazon Mechanical Turk workers to complete a series of disaster response related subtasks, consisting of either image labeling or locating photographed areas on a map. We varied the frequency at which workers encountered the dierent subtask types, and found that switching subtask type at dierent frequencies impacted measures of worker engagement. This indicates that a certain amount of variety in subtasks may engage crowdsourcing workers better than uniform subtask types.
Address Northeastern University
Corporate Author Thesis
Publisher Iscram Place of Publication Albi, France Editor Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN Medium
Track Social Media Studies Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 2037
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Author Sofia Eleni Spatharioti; Rebecca Govoni; Jennifer S. Carrera; Sara Wylie; Seth Cooper
Title A Required Work Payment Scheme for Crowdsourced Disaster Response: Worker Performance and Motivations Type Conference Article
Year 2017 Publication Proceedings of the 14th International Conference on Iformation Systems for Crisis Response And Management Abbreviated Journal Iscram 2017
Volume Issue Pages 475-488
Keywords crowdsourcing; Amazon Mechanical Turk; payment; motivation; required work
Abstract Crowdsourcing is an increasingly popular approach for processing data in response to disasters. While volunteer crowdsourcing may suÿce for high-profile disasters, paid crowdsourcing may be necessary to recruit workers for less prominent events. Thus, understanding the impact of payment schemes on worker behavior and motivation may improve outcomes. In this work, we presented workers recruited from Amazon Mechanical Turk with a disaster response task in which they could provide a variable number of image ratings. We paid workers a fixed amount to provide a minimum number of image ratings, allowing them to voluntarily provide more if desired; this allowed us to examine the impact of dierent amounts of required work. We found that requiring no ratings resulted in workers voluntary completing more work, and being more likely to indicate motivation related to interest on a post survey, than when small numbers of ratings were required. This is consistent with the motivational crowding-out eect, even in paid crowdsourcing. We additionally found that providing feedback on progress positively impacted the amount of work done.
Address Northeastern University; Michigan State University
Corporate Author Thesis
Publisher Iscram Place of Publication Albi, France Editor Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN Medium
Track Social Media Studies Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 2036
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Author Sofia Eleni Spatharioti; Sara Wylie; Seth Cooper
Title Does Flight Path Context Matter? Impact on Worker Performance in Crowdsourced Aerial Imagery Analysis 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 621-628
Keywords crowdsourcing, Amazon Mechanical Turk, context
Abstract Natural disasters result in billions of dollars in damages annually and communities left struggling with the difficult task of response and recovery. To this end, small private aircraft and drones have been deployed to gather images along flight paths over the affected areas, for analyzing aerial photography through crowdsourcing. However, due to the volume of raw data, the context and order of these images is often lost when reaching workers. In this work, we explored the effect of contextualizing a labeling task on Amazon Mechanical Turk, by serving workers images in the order they were collected on the flight and showing them the location of the current image on a map. We did not find a negative impact from the loss of contextual information, and found map context had a negative impact on worker performance. This may indicate that ordering images based on other criteria may be more effective.
Address
Corporate Author Thesis
Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium
Track Social Media Studies Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 2136
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Author Songhui Yue; Jyothsna Kondari; Aibek Musaev; Songqing Yue; Randy Smith
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
Volume Issue Pages 718-726
Keywords Social Media Data, Hurricane Category, Twitter, Prediction
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.
Address
Corporate Author Thesis
Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium
Track Social Media Studies Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 2145
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Author Sooji Han; Fabio Ciravegna
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
Volume Issue Pages
Keywords Rumours, large-scale data, event summarisation, sub-event detection, social media analysis
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.
Address The University of Sheffield, United Kingdom
Corporate Author Thesis
Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
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 Sophie Gerstmann; Hans Betke; Stefan Sackmann
Title Towards Automated Individual Communication for Coordination of Spontaneous Volunteers Type Conference Article
Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019
Volume Issue Pages
Keywords Spontaneous volunteers, chatbot, social media, system architecture
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.
Address Martin-Luther University Halle-Wittenberg, Germany
Corporate Author Thesis
Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
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 1965
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Author St. Denis, L.A.; Hughes, A.L.
Title Use of Statistics in Disaster by Local Individuals: An Examination of Tweets during COVID-19 Type Conference Article
Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023
Volume Issue Pages 449-458
Keywords Social Media; Statistics; COVID-19; Pandemic
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.
Address CIRES, Earth Lab University of Colorado; Crisis Informatics Lab Brigham Young University
Corporate Author Thesis
Publisher University of Nebraska at Omaha Place of Publication Omaha, USA Editor Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
Language English Summary Language Original Title
Series Editor Hosssein Baharmand Series Title Abbreviated Series Title
Series Volume Series Issue Edition 1
ISSN ISBN Medium
Track Social Media for Crisis Management Expedition Conference
Notes http://dx.doi.org/10.59297/KBIJ7756 Approved no
Call Number ISCRAM @ idladmin @ Serial 2539
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Author Lise Ann St. Denis; Amanda L. Hughes; Leysia Palen
Title Trial by fire: The deployment of trusted digital volunteers in the 2011 shadow lake fire 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
Volume Issue Pages
Keywords Civil defense; Disasters; Information systems; Lakes; Risk management; Crisis informatics; Digital volunteers; Emergency management; Social media; Trusted volunteers; Human resource management
Abstract We report on the use of a team of trusted digital volunteers during the 2011 Shadow Lake Fire that occurred in the US Pacific Northwest to extend the social media capacity of a Type I incident management team. In this case study, we outline the tools and processes used by this virtual team to coordinate their activities, monitor social media communication and to establish communications with the public around the event. Finally, we discuss the potential merits and limitations of implementing a team of trusted volunteers and explore how this idea could be incorporated into emergency management organizations. © 2012 ISCRAM.
Address ATLAS, Project EPIC, University of Colorado, Boulder, United States; Computer Science, Project EPIC, University of Colorado, Boulder, United States
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Social Media and Collaborative Systems Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 207
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Author Lise Ann St. Denis; Leysia Palen; Kenneth M. Anderson
Title Mastering social media: An analysis of Jefferson County's communications during 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
Volume Issue Pages 737-746
Keywords Floods; Human resource management; Information science; Information systems; Risk management; Crisis informatics; Emergency management; Public information; Social media; Trusted volunteers; Social networking (online)
Abstract We report on the social media communications and work practices of the Jefferson County Type III Incident Management Team during the September 2013 Colorado Floods. In this case study, we examine flood-related communications across three platforms: Facebook, Twitter, and the team's blog for insight into how this innovative team coordinated their communications to meet the information needs of a community outside of the media spotlight. Using a mixed method approach of interviews and social media content analysis, we describe their online behaviors in relation to the needs of the emergency response as a whole. We report on adaptations to their work practice that allowed them to extend traditional communications with social media to create an integrated communication plan. Finally, we look to the team's experiences for direction in how to use social media in emergencies generally.
Address ATLAS, Project EPIC, University of Colorado, Boulder, United States; Computer Science, Project EPIC, University of Colorado, Boulder, United States
Corporate Author Thesis
Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780692211946 Medium
Track Social Media in Crisis Response and Management Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 969
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Author Kate Starbird; Grace Muzny; Leysia Palen
Title Learning from the crowd: Collaborative filtering techniques for identifying on-the-ground Twitterers during mass disruptions 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
Volume Issue Pages
Keywords Artificial intelligence; Information systems; Learning systems; Social networking (online); Support vector machines; Crisis informatics; Human computation; Mass disruption; Microblogging; Political protest; Behavioral research
Abstract Social media tools, including the microblogging platform Twitter, have been appropriated during mass disruption events by those affected as well as the digitally-convergent crowd. Though tweets sent by those local to an event could be a resource both for responders and those affected, most Twitter activity during mass disruption events is generated by the remote crowd. Tweets from the remote crowd can be seen as noise that must be filtered, but another perspective considers crowd activity as a filtering and recommendation mechanism. This paper tests the hypothesis that crowd behavior can serve as a collaborative filter for identifying people tweeting from the ground during a mass disruption event. We test two models for classifying on-the-ground Twitterers, finding that machine learning techniques using a Support Vector Machine with asymmetric soft margins can be effective in identifying those likely to be on the ground during a mass disruption event. © 2012 ISCRAM.
Address University of Colorado, Boulder, United States; University of Washington, Seattle, United States
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Social Media and Collaborative Systems Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 208
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Author Starr Roxanne Hiltz; Amanda Hughes; Muhammad Imran; Linda Plotnick; Robert Power; Murray Turoff
Title Requirements for Software to Support the use of Social Media in Emergency Management: A Delphi Study Type Conference Article
Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019
Volume Issue Pages
Keywords Social media, emergency management, crisis informatics, software requirements, Delphi method
Abstract Social Media contain a wealth of information that could improve the situational awareness of Emergency Managers during a crisis, but many barriers stand in the way. These include information overload, making it impossible to deal with the flood of raw posts, and lack of trust in unverified crowdsourced data. The purpose of this project is to build a communications bridge between emergency responders and technologists who can provide the advances needed to realize social media?s full potential. We are employing a Delphi study survey design, which is a technique for exploring and developing consensus among a group of experts around a particular topic. Participants include emergency managers and technologists with experience in software to support the use of social media in crisis response, from many countries. The topics of the study are described and preliminary, partial results presented for Round 1 of the study, based on 33 responses.
Address NJIT, United States of America;Brigham Young U.;Qatar Computing Research Inst.;Commonwealth Scientific and Industrial Research Organisation, Australia
Corporate Author Thesis
Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
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 1906
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Author Stephen Kelly; Xiubo Zhang; Khurshid Ahmad
Title Mining Multimodal Information on Social Media for Increased Situational Awareness Type Conference Article
Year 2017 Publication Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2017
Volume Issue Pages 613-622
Keywords Spatio-temporal; Social media analysis; Multimodal analysis; Geolocation
Abstract Social media platforms have become a source of high volume, real-time information describing significant events in a timely fashion. In this paper we describe a system for the real-time extraction of information from text and image content in Twitter messages and combine the spatio-temporal metadata of the messages to filter the data stream for emergency events and visualize the output on an interactive map. Twitter messages for a geographic region are monitored for flooding events by analysing the text content and images posted. Events detected are compared with a ground truth to see if information in social media correlates with actual events. We propose an Intrusion Index as part of this prototype to facilitate ethical harvesting of data. A map layer is created by the prototype system that visualises the analysis and filtered Twitter messages by geolocation.
Address rinity College Dublin, Ireland
Corporate Author Thesis
Publisher Iscram Place of Publication Albi, France Editor Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN Medium
Track Social Media Studies Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 2049
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Author Keri K. Stephens; Jessica L. Ford; Ashley Barrett; Michael J. Mahometa
Title Alert networks of ICTs and sources in campus emergencies 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
Volume Issue Pages 652-661
Keywords Information systems; Mobile devices; Risk management; Emergency alerts; Emergency management; ICTs; Safety communications; Social media; Social networking (online)
Abstract This study contributes an understanding of how ICTs and varying information sources work together during emergency alerts. It builds on the prior work on campus active shooter events by examining an organization that used a range of ICTs including mobile devices, social media, organizational tools, and news media, to notify their stakeholders about an emergency. The study design used a survey to capture the responses from a random sample of over 1000 stakeholders-students, faculty, and staff-who were notified of an active shooter emergency. The findings from the first three notifications suggest that messages reaching the most stakeholders were (a) sent by official sources through ICTs like mobile phones; (b) official email communication, and (c) messages that included face-to-face communication. While 11 different ICTs were included in the study, mass media (i.e., television and radio), and social media (Twitter and Facebook) did not function substantially in the emergency alert process.
Address University of Texas at Austin, United States
Corporate Author Thesis
Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780692211946 Medium
Track Social Media in Crisis Response and Management Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 974
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Author Steve Peterson; Keri Stephens; Hemant Purohit; Amanda Hughes
Title When Official Systems Overload: A Framework for Finding Social Media Calls for Help during Evacuations Type Conference Article
Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019
Volume Issue Pages
Keywords Disasters, social media, hurricanes, data, framework, public safety
Abstract During large-scale disasters it is not uncommon for Public Safety Answering Points (e.g., 9-1-1) to encounter

service disruptions or become overloaded due to call volume. As observed in the two past United States hurricane

seasons, citizens are increasingly turning to social media whether as a consequence of their inability to reach

9-1-1, or as a preferential means of communications. Relying on past research that has examined social media

use in disasters, combined with the practical knowledge of the first-hand disaster response experiences, this paper

develops a knowledge-driven framework containing parameters useful in identifying patterns of shared

information on social media when citizens need help. This effort explores the feasibility of determining

differences, similarities, common themes, and time-specific discoveries of social media calls for help associated

with hurricane evacuations. At a future date, validation of this framework will be demonstrated using datasets

from multiple disasters. The results will lead to recommendations on how the framework can be modified to make

it applicable as a generic disaster-type characterization tool.
Address National Institutes of Health, United States of America;The University of Texas at Austin;George Mason University;Brigham Young University
Corporate Author Thesis
Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
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 1928
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Author Steven Sheetz; Andrea Kavanaugh; Edward Fox; Riham Hassan; Seungwon Yang; Mohamed Magdy; Shoemaker Donald
Title Information Uses and Gratifications Related to Crisis: Student Perceptions since the Egyptian Uprising Type Conference Article
Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019
Volume Issue Pages
Keywords Uses and gratifications theory; information sources; Internet; social media; structural equation modeling
Abstract People use diverse sources of information, e.g., newspapers, TV, Internet news, social media, and face-to-face

conversations, to make sense of crises. We apply uses and gratifications theory (UGT) and structural equation

modeling to illustrate how using internet-based information sources since the political uprisings in Egypt influence

perceptions of information satisfaction. Consistent with expectations we find that content and process gratifications

constructs combine to explain information satisfaction, while social gratifications do not significantly influence

satisfaction in the context of a crisis. This suggests that UGT is useful for evaluating the use of information

technology in a context where information is limited in quantity and reliability.
Address Virginia Tech, United States of America;Microsoft;Louisiana State University;Arab Academy of Science and Technology
Corporate Author Thesis
Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
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 1862
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Author Sung-Yueh Perng; Monika Büscher; Lisa Wood; Ragnhild Halvorsrud; Michael E. Stiso; Leonardo Ramirez; Amro Al-Akkad
Title Peripheral response: Microblogging during the 22/7/2011 Norway attacks 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
Volume Issue Pages
Keywords Information systems; Microblogging; Norway attacks; Peripheral response; Resource coordinations; Situation awareness; Professional aspects
Abstract This paper presents a case study of a very recent man-made crisis in Norway on 22 July, 2011, during which a single person first detonated a bomb in downtown Oslo and then killed 69 young people on the island of Utøya. It proposes a novel way of conceptualizing the public contribution to mobilization of resources using microblogging, particularly tweeting. By examining aspects of public and professional response to this crisis, the notion of peripheral response is developed in relation to emergent forms of agile and dialogic emergency response. Through examining the distributed efforts of responding to the crisis, the paper also revisits situation awareness and reflects upon the dynamic and constantly changing environment that social media and crises inhabit together. © 2012 ISCRAM.
Address Lancaster University, United Kingdom; SINTEF, Norway; Fraunhofer FIT, Germany
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Social Media and Collaborative Systems Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 187
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Author Jeannette N. Sutton; Emma S. Spiro; Sean M. Fitzhugh; Britta Johnson; Ben Gibson; Carter T. Butts
Title Terse message amplification in the Boston bombing response 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
Volume Issue Pages 612-621
Keywords Information systems; Terrorism; Counter-terrorism operations; Criminal investigation; Improvised explosive devices; National incident management systems; Public information; Terse messaging; Twitter; Urban environments; Information management
Abstract On the morning of April 15, 2013, an Improvised Explosive Device (IED) was detonated near the finish line of the Boston Marathon, resulting in a large number of casualties. This generated a week-long response under the US National Incident Management System. In this paper, we examine online, terse messages broadcast by responding organizations and their amplification by other official entities via retransmission. Content analysis of official messages shows strong similarities with posting patterns previously observed in response to natural hazards, with the primary exception of themes related to the criminal investigation, suggesting a possible revision of guidelines for public information in light of the needs arising from extended counterterrorism operations undertaken in an urban environment. Network analysis demonstrates message posting and amplification were dominated by local actors, underscoring the importance of local readiness for management of official public information activities in the context of extremely high-profile events.
Address Trauma, Health and Hazards Center, University of Colorado, United States; Department of Sociology, University of California, United States; Department of Sociology, Institute for Mathematical Behavioral Sciences, University of California, United States
Corporate Author Thesis
Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780692211946 Medium
Track Social Media in Crisis Response and Management Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 986
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Author Jeannette N. Sutton; Emma S. Spiro; Britta Johnson; Sean M. Fitzhugh; Mathew Greczek; Carter T. Butts
Title Connected communications: Network structures of official communications in a technological disaster 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
Volume Issue Pages
Keywords Disasters; Information dissemination; Information systems; Oil spills; Direct communications; Informal communication; Information exchanges; Micro-blogging services; Network structures; On-line information; Social media; Technological disasters; Social networking (online)
Abstract Informal online communication channels are being utilized for official communications in disaster contexts. Channels such as networked microblogging enable public officials to broadcast messages as well as engage in direct communication exchange with individuals. Here we investigate online information exchange behaviors of a set of state and federal organizations during the Deepwater Horizon 2010 oil spill disaster. Using data from the popular microblogging service Twitter, we analyze the roles individual organizations play in the dissemination of information to the general public online, and the conversational microstructure of official posts. We discuss characteristics and features of following networks, centrality, and conversational dynamics that may affect information exchange in disaster. This research provides insight into the use of networked communications during an event of heightened public concern, describes implications of conversational features, and suggests directions for future research. © 2012 ISCRAM.
Address University of Colorado, Colorado Springs, United States; University of California, Irvine, United States
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Social Media and Collaborative Systems Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 214
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Author Takuya Oki
Title Possibility of Using Tweets to Detect Crowd Congestion: A Case Study Using Tweets just before/after the Great East Japan Earthquake 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 584-596
Keywords Twitter, crowd congestion, time-series analysis, linguistic expression, disaster mitigation.
Abstract During large earthquakes, it is critical to safely guide evacuation efforts and to prevent accidents caused by congestion. In this paper, we focus on detecting the degree of crowd congestion following an earthquake based on information posted to Social Networking Services (SNSs). This research uses text data posted to Twitter just before/after the occurrence of the Great East Japan Earthquake (11 March 2011 at 02:46 PM JST). First, we extract co-occurring place names, proper nouns, and time-series information from tweets about congestion in the Tokyo metropolitan area (TMA). Next, using these extracted data, we analyze the frequency and spatiotemporal characteristics of these tweets. Finally, we identify expressions that describe the degree of crowd congestion and discuss methods to quantify these expressions based on a questionnaire survey and tweets that contain a photograph.
Address
Corporate Author Thesis
Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium
Track Social Media Studies Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 2133
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Author Andrea H. Tapia; Kathleen A. Moore; Nichloas J. Johnson
Title Beyond the trustworthy tweet: A deeper understanding of microblogged data use by disaster response and humanitarian relief organizations Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 770-779
Keywords Disasters; Information management; Information systems; Societies and institutions; Humanitarian; Microblogging; Ngo; Relief; Trust; Twitter; Emergency services
Abstract In this paper we present findings from interviews conducted with representatives from large international disaster response organizations concerning their use of social media data in crisis response. We present findings in which the barriers to use by responding organizations have gone beyond simple discussions of trustworthiness to that of more operational issues rather than mere data quality. We argue that the landscape of the use of microblogged data in crisis response is varied, with pockets of use and acceptance among organizations. We found that microblogged data is useful to responders in situations where information is limited, such as at the beginning of an emergency response effort, and when the risks of ignoring an accurate response outweigh the risks of acting on an incorrect one. In some situations, such as search and rescue operations, microblogged data may never meet the standards of quality required. In others, such as resource and supply management, microblogging data could be useful as long as it is appropriately verified and classified.
Address College of Information Sciences and Technology, Penn State University, United States
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Social Media Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 993
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Author Tasneem, F.; Chakraborty, S.; Chy, A.N.
Title An Early Synthesis of Deep Neural Networks to Identify Multimodal Informative Disaster Tweets Type Conference Article
Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023
Volume Issue Pages 428-438
Keywords Early Fusion; Crisis Tweets; BERT-LSTM; ResNet50; Multimodal Framework
Abstract Twitter is always worthwhile in facilitating communication during disasters. It helps in raising situational awareness and undertaking disaster control actions as quickly as possible to alleviate the miseries. But the noisy essence of Twitter causes difficulty in distinguishing relevant information from the heterogeneous contents. Therefore, extracting informative tweets is a substantial task to help in crisis intervention. Analyzing only the text or image content of the tweet often misses necessary insights which might be helpful during disasters. In this paper, we propose a multimodal framework to address the challenges of identifying informative crisis-related tweets containing both texts and images. Our presented approach incorporates an early fusion strategy of BERT-LSTM and ResNet50 networks which effectively learns from the joint representation of texts and images. The experiments and evaluation on the benchmark CrisisMMD dataset show that our fusion method surpasses the baseline by 7% and substantiates its potency over the unimodal systems.
Address University of Chittagong; University of Chittagong; University of Chittagong
Corporate Author Thesis
Publisher University of Nebraska at Omaha Place of Publication Omaha, USA Editor Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
Language English Summary Language Original Title
Series Editor Hosssein Baharmand Series Title Abbreviated Series Title
Series Volume Series Issue Edition 1
ISSN ISBN Medium
Track Social Media for Crisis Management Expedition Conference
Notes http://dx.doi.org/10.59297/OMIR7766 Approved no
Call Number ISCRAM @ idladmin @ Serial 2537
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Author Teun Terpstra; Richard Stronkman; Arnout De Vries; Geerte L. Paradies
Title Towards a realtime Twitter analysis during crises for operational crisis management 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
Volume Issue Pages
Keywords Disaster prevention; Information filtering; Information retrieval; Information systems; Monitoring; Storms; Crisis communications; Crisis management; Graphical displays; Information extraction tools; Natural hazard; Self organizations; Social media; Twitter; Social networking (online)
Abstract Today's crises attract great attention on social media, from local and distant citizens as well as from news media. This study investigates the possibilities of real-time and automated analysis of Twitter messages during crises. The analysis was performed through application of an information extraction tool to nearly 97,000 tweets that were published shortly before, during and after a storm hit the Pukkelpop 2011 festival in Belgium. As soon as the storm hit the festival tweet activity increased exponentially, peaking at 576 tweets per minute. The extraction tool enabled analyzing tweets through predefined (geo)graphical displays, message content filters (damage, casualties) and tweet type filters (e.g., retweets). Important topics that emerged were 'early warning tweets', 'rumors' and the 'self-organization of disaster relief' on Twitter. Results indicate that automated filtering of information provides valuable information for operational response and crisis communication. Steps for further research are discussed. © 2012 ISCRAM.
Address HKV Consultants, Netherlands; Twitcident, Netherlands; TNO, Netherlands
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Social Media and Collaborative Systems Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 215
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Author Therese Habig; Richard Lüke; Simon Gehlhar; Torben Sauerland; Daniel Tappe
Title A Consolidated Understanding of Disaster Community Technologies 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
Volume Issue Pages 778-791
Keywords Disaster Community Technologies, social media and crowdsourcing, categorization and classification schema, knowledge base
Abstract Since the beginning of this millennium, there has been an increasing use of social media and crowdsourcing (SMCS) technologies in disaster situations (Reuter & Kaufhold, 2018). Disaster management organizations and corresponding research are increasingly working on ways of integrating SMCS into the processes of crisis management. In a changing technological landscape to address disasters, and with increasing diversity of stakeholders in disasters, the purpose of this research is to provide an overview of technologies for SMCS within disasters to improve community resilience. The identified and analyzed technologies are summarized under the term “Disaster Community Technologies” (DCT). The paper presents a classification schema (the “DCT-schema”) for those technologies. The goal is to generate an overview of DCT in a rapidly evolving environment and to provide the practical benefit for different stakeholders to identify the right one from the overview.
Address safety innovation center; safety innovation center; safety innovation center; safety innovation center; safety innovation center
Corporate Author Thesis
Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 978-1-949373-61-5 ISBN Medium
Track Social Media for Disaster Response and Resilience Expedition Conference 18th International Conference on Information Systems for Crisis Response and Management
Notes habig@safetyinnovation.center Approved no
Call Number ISCRAM @ idladmin @ Serial 2373
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Author Thomas Ludwig; Christian Reuter; Ralf Heukäufer; Volkmar Pipek
Title CoTable: Collaborative Social Media Analysis with Multi-Touch Tables Type Conference Article
Year 2015 Publication ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2015
Volume Issue Pages
Keywords Collaboration; CSCW; multi-touch tables; social media
Abstract To be able to take efficient measures in crisis management, it is essential for emergency services to get as much details about an actual situation on-site as possible. Currently content from social media plays an important role since those platforms are used to spread crisis-relevant data within the population. Our contribution presents a concept which supports the situation assessment practices of emergency services by collaboratively evaluating and by analyzing citizen-generated content from social media using a multi-touch table. The concept was implemented based on a Microsoft PixelSense and evaluated with 14 participants. The results reveal the impact of subjectivity of the participants, their positioning around the table as well as the uniqueness of social media posts on the collaborative situation assessment with multi-touch tables.
Address
Corporate Author Thesis
Publisher University of Agder (UiA) Place of Publication Kristiansand, Norway Editor L. Palen; M. Buscher; T. Comes; A. Hughes
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9788271177881 Medium
Track Social Media Studies Expedition Conference ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
Notes Approved yes
Call Number Serial 1228
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Author Thomas Papadimos; Nick Pantelidis; Stelios Andreadis; Aristeidis Bozas; Ilias Gialampoukidis; Stefanos Vrochidis; Ioannis Kompatsiaris
Title Real-time Alert Framework for Fire Incidents Using Multimodal Event Detection on Social Media Streams Type Conference Article
Year 2022 Publication ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2022
Volume Issue Pages 623-635
Keywords Alert framework; social media; event detection; kernel density estimation; community detection
Abstract The frequency of wildfires is growing day by day due to vastly climate changes. Forest fires can have a severe impact on human lives and the environment, which can be minimised if the population has early and accurate warning mechanisms. To date, social media are able to contribute to early warning with the additional, crowd-sourced information they can provide to the emergency response workers during a crisis event. Nevertheless, the detection of real-world fire incidents using social media data, while filtering out the unavoidable noise, remains a challenging task. In this paper, we present an alert framework for the real-time detection of fire events and we propose a novel multimodal event detection model, which fuses both probabilistic and graph methodologies and is evaluated on the largest fires in Spain during 2019.
Address Centre for Research & Technology Hellas Information Technologies Institute Thessaloniki, Greece;Centre for Research & Technology Hellas Information Technologies Institute Thessaloniki, Greece;Centre for Research & Technology Hellas Information Technologie
Corporate Author Thesis
Publisher Place of Publication Tarbes, France Editor Rob Grace; Hossein Baharmand
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-82-8427-099-9 Medium
Track Social Media for Crisis Management Expedition Conference
Notes Approved no
Call Number ISCRAM @ idladmin @ Serial 2443
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