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Author Rode-Hasinger, S.; Haberle, M.; Racek, D.; Kruspe, A.; Zhu Xiao Xiang pdf  doi
openurl 
  Title TweEvent: A dataset of Twitter messages about events in the Ukraine conflict Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 407-416  
  Keywords Conflict; Ukraine; Dataset; Social Media; NLP  
  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.  
  Address Technical University of Munich; Technical University of Munich; Ludwig-Maximilians-Universitat M¨unchen; Technische Hochschule N¨urnberg; Technical University of Munich  
  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/AIDF1102 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2535  
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Author Chauhan, A. pdf  doi
openurl 
  Title Humor-Based COVID-19 Twitter Accounts Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 417-427  
  Keywords COVID-19; Twitter; Humor; Crisis Named Resources  
  Abstract Crisis Named Resources (or CNRs) are social media pages and accounts named after a crisis event. Using the COVID-19 Pandemic as a case study, we identified and examined the role of CNRs that shared humor on Twitter. Our analyses showed that humor-based CNRs shared virus-related rumors, stigma, safety measures, opinions, sarcasm, and news updates. These resources also shared the overall anger and frustration over the year 2020. We conclude by discussing the critical role of humor based CNRs in crisis response.  
  Address Concordia University of Edmonton  
  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/YHDI4576 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2536  
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Author Long, Z.; McCreadiem, R.; Imran, M. pdf  doi
openurl 
  Title CrisisViT: A Robust Vision Transformer for Crisis Image Classification Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 309-319  
  Keywords Social Media Classification; Crisis Management; Deep Learning; Vision Transformers; Supervised Learning  
  Abstract In times of emergency, crisis response agencies need to quickly and accurately assess the situation on the ground in order to deploy relevant services and resources. However, authorities often have to make decisions based on limited information, as data on affected regions can be scarce until local response services can provide first-hand reports. Fortunately, the widespread availability of smartphones with high-quality cameras has made citizen journalism through social media a valuable source of information for crisis responders. However, analyzing the large volume of images posted by citizens requires more time and effort than is typically available. To address this issue, this paper proposes the use of state-of-the-art deep neural models for automatic image classification/tagging, specifically by adapting transformer-based architectures for crisis image classification (CrisisViT). We leverage the new Incidents1M crisis image dataset to develop a range of new transformer-based image classification models. Through experimentation over the standard Crisis image benchmark dataset, we demonstrate that the CrisisViT models significantly outperform previous approaches in emergency type, image relevance, humanitarian category, and damage severity classification. Additionally, we show that the new Incidents1M dataset can further augment the CrisisViT models resulting in an additional 1.25% absolute accuracy gain.  
  Address University of Glasgow  
  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/SDSM9194 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2528  
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Author Tasneem, F.; Chakraborty, S.; Chy, A.N. pdf  doi
openurl 
  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 Fatehkia, M.; Imran, M.; Weber, I. pdf  doi
openurl 
  Title Towards Real-time Remote Social Sensing via Targeted Advertising Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 396-406  
  Keywords Remote Social Sensing; Real-Time Polling; Flood Mapping; Facebook Advertising  
  Abstract Social media serves as an important communication channel for people affected by crises, creating a data source for emergency responders wanting to improve situational awareness. In particular, social listening on Twitter has been widely used for real-time analysis of crisis-related messages. This approach, however, is often hindered by the small fraction of (hyper-)localized content and by the inability to explicitly ask affected populations about aspects with the most operational value. Here, we explore a new form of social media data collected through targeted poll ads on Facebook. Using geo-targeted ads during flood events in six countries, we show that it is possible to collect thousands of poll responses within hours of launching the ad campaign, and at a cost of a few (US dollar) cents per response. We believe that this flexible, fast, and affordable data collection can serve as a valuable complement to existing approaches.  
  Address Qatar Computing Research Institute; Qatar Computing Research Institute; Saarland Informatics Campus  
  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/NEFN8739 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2534  
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Author Herrera, L.C.; Gjøsæter, T. pdf  doi
openurl 
  Title Leveraging Crisis Informatics Experts: A co-creating approach for validation of social media research insights Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 439-448  
  Keywords Card Sorting Workshop; Practice-Based Research; Crisis Informatics; Support Information System; Validation.  
  Abstract Validation of findings is a challenge in practice-based research. While analysis is being conducted and findings are being constructed out of data collected in a defined period, practitioners continue with their activities. This issue is exacerbated in the field of crisis management, where high volatility and personnel turnover make the capacity to attend research demands scarce. Therefore, conducting classic member validation is logistically challenging for the researcher. The need for rigor and validity calls for alternative mechanisms to fulfill requirements for academic research. This article presents an approach for validation of results of a qualitative study with public organizations that use social media as a source of information in the context of crisis management. The unavailability of original interview-objects to validate our findings resulted in an alternative validation method that leveraged experts in crisis informatics. By presenting our approach, we contribute to encouraging rigor in qualitative research while maintaining the relationship between practice and academia.  
  Address University of Agder; University of Agder  
  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/MHCV5804 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2538  
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Author St. Denis, L.A.; Hughes, A.L. pdf  doi
openurl 
  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 McCreadie, R.; Buntain, C. pdf  doi
openurl 
  Title CrisisFACTS: Buidling and Evaluating Crisis Timelines Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 320-339  
  Keywords Emergency Management; Crisis Informatics News; Twitter; Facebook; Reddit; Wikipedia; Summarization  
  Abstract Between 2018 and 2021, the Incident Streams track (TREC-IS) developed standard approaches for classifying information types and criticality of tweets during crises. While successful in producing substantial collections of labeled data, TREC-IS as a data challenge had several limitations: It only evaluated information at type-level rather than what was reported; it only used Twitter data; and it lacked measures of redundancy in system output. This paper introduces Crisis Facts and Cross-Stream Temporal Summarization (CrisisFACTS), a new data challenge piloted in 2022 and developed to address these limitations. The CrisisFACTS framework recasts TREC-IS into an event-summarization task using multiple disaster-relevant data streams and a new fact-based evaluation scheme, allowing the community to assess state-of-the-art methods for summarizing disaster events Results from CrisisFACTS in 2022 include a new test-collection comprising human-generated disaster summaries along with multi-platform datasets of social media, crisis reports and news coverage for major crisis events.  
  Address University of Glasgow; University of Maryland, College Park (UMD)  
  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/JVQZ9405 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2529  
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Author Pereira, J.; Fidalgo, R.; Lotufo, R.; Nogueira, R. pdf  doi
openurl 
  Title Crisis Event Social Media Summarization with GPT-3 and Neural Reranking Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 371-384  
  Keywords Crisis Management; Social Media; Multi-Document Summarization; Query-Based Summarization.  
  Abstract Managing emergency events, such as natural disasters, requires management teams to have an up-to-date view of what is happening throughout the event. In this paper, we demonstrate how a method using a state-of-the-art open-sourced search engine and a large language model can generate accurate and comprehensive summaries by retrieving information from social media and online news sources. We evaluated our method on the TREC CrisisFACTS challenge dataset using automatic summarization metrics (e.g., Rouge-2 and BERTScore) and the manual evaluation performed by the challenge organizers. Our approach is the best in comprehensiveness despite presenting a high redundancy ratio in the generated summaries. In addition, since all pipeline components are few-shot, there is no need to collect training data, allowing us to deploy the system rapidly. Code is available at https://github.com/neuralmind-ai/visconde-crisis-summarization.  
  Address Centro de Inform´atica, Universidade Federal de Pernambuco; NeuralMind  
  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/JJYT4136 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2532  
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Author Wang, D.; Kogan, M. pdf  doi
isbn  openurl
  Title Resonance+: Augmenting Collective Attention to Find Information on Public Cognition and Perception of Risk Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 487-500  
  Keywords Crisis Informatics; Social Media Data; Word Embedding; Cognitive Process; Protective Action Decision Model  
  Abstract Microblogging platforms have been increasingly used by the public and crisis managers in crisis. The increasing volume of data has made such platforms more difficult for officials to find on-the-ground information and understand the public’s perception of the evolving risks. The crisis informatics literature has proposed various technological solutions to find relevant information from social media. However, the cognitive processes of the affected population and their subsequent responses, such as perceptions, emotional and behavioral responses, are still under-examined at scale. Yet, such information is important for gauging public perception of risks, an important task for PIOs and emergency managers. In this work, we leverage the noise-cutting power of collective attention and take cues from the Protective Action Decision Model, to propose a method that estimates shifts in collective attention with a special focus on the cognitive processes of those affected and their subsequent responses.  
  Address University of Utah, School of Computing; University of Utah, School of Computing  
  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 2411-3387 ISBN 979-8-218-21749-5 Medium  
  Track Social Media for Crisis Management Expedition Conference  
  Notes http://dx.doi.org/10.59297/IMVX7820 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2542  
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Author Yu, X.; Chen, J.; Liu, J. pdf  doi
isbn  openurl
  Title Examining the influence of social media on individual’s protective action taking during Covid-19 in China Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 295-308  
  Keywords Public Crisis; Social Mediated Crisis Communication Model; Risk Perception; Protective Action  
  Abstract In the context of COVID-19, this study utilizes the Social Mediated Crisis Communication Model (SMCC) and the Protective Action Decision Model (PADM) to investigate the relationship between social media users' protective actions and crisis information during public health crises in China. By constructing a structural equation model, this study aims to identify the influencing factors that affect social media users' personal’s cognitive, emotional, and behavioral reactions given crisis relevant information. Results findings are that warning information can significantly increase risk perception; emotional responses are not significantly affected by warning information and risk perception; risk perception has a negative impact on information gathering and sharing behavior; risk perception has a significant mediating effect on the relationship between information features and protective action.  
  Address University of International Business and Economics  
  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 2411-3387 ISBN 979-8-218-21749-5 Medium  
  Track Social Media for Crisis Management Expedition Conference  
  Notes http://dx.doi.org/10.59297/HPVH6600 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2527  
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Author Lamsal, R.; Read, M.R.; Karunasekera, S. pdf  doi
openurl 
  Title A Twitter narrative of the COVID-19 pandemic in Australia Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 353-370  
  Keywords Crisis Informatics; Situational Awareness; Topic Modeling; Granger Causality; Network Analysis  
  Abstract Social media platforms contain abundant data that can provide comprehensive knowledge of historical and real-time events. During crisis events, the use of social media peaks, as people discuss what they have seen, heard, or felt. Previous studies confirm the usefulness of such socially generated discussions for the public, first responders, and decision-makers to gain a better understanding of events as they unfold at the ground level. This study performs an extensive analysis of COVID-19-related Twitter discussions generated in Australia between January 2020, and October 2022. We explore the Australian Twitterverse by employing state-of-the-art approaches from both supervised and unsupervised domains to perform network analysis, topic modeling, sentiment analysis, and causality analysis. As the presented results provide a comprehensive understanding of the Australian Twitterverse during the COVID-19 pandemic, this study aims to explore the discussion dynamics to aid the development of future automated information systems for epidemic/pandemic management.  
  Address The University of Melbourne  
  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/GQED8281 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2531  
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Author Zou, H.P.; Caragea, C.; Zhou, Y.; Caragea, D. pdf  doi
isbn  openurl
  Title Semi-Supervised Few-Shot Learning for Fine-Grained Disaster Tweet Classification Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 385-395  
  Keywords Crisis Tweet Classification; Semi-Supervised Few-Shot Learning; Pseudo-Labeling; TextMixUp.  
  Abstract The shared real-time information about natural disasters on social media platforms like Twitter and Facebook plays a critical role in informing volunteers, emergency managers, and response organizations. However, supervised learning models for monitoring disaster events require large amounts of annotated data, making them unrealistic for real-time use in disaster events. To address this challenge, we present a fine-grained disaster tweet classification model under the semi-supervised, few-shot learning setting where only a small number of annotated data is required. Our model, CrisisMatch, effectively classifies tweets into fine-grained classes of interest using few labeled data and large amounts of unlabeled data, mimicking the early stage of a disaster. Through integrating effective semi-supervised learning ideas and incorporating TextMixUp, CrisisMatch achieves performance improvement on two disaster datasets of 11.2% on average. Further analyses are also provided for the influence of the number of labeled data and out-of-domain results.  
  Address University of Illinois Chicago; Kansas State 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 2411-3387 ISBN 979-8-218-21749-5 Medium  
  Track Social Media for Crisis Management Expedition Conference  
  Notes http://dx.doi.org/10.59297/FWXE4933 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2533  
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Author Encarnación, T.; Wilks, C.R. pdf  doi
openurl 
  Title Role of Expressed Emotions on the Retransmission of Help-Seeking Messages during Disasters Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 340-352  
  Keywords Social Amplification; Retweet Prediction; Crisis Informatics  
  Abstract Emergency managers rely on formal and informal communication channels to identify needs in post-disaster environments. Message retransmission is a critical factor to ensure that help-seekers are identified by disaster responders. This paper uses a novel annotated dataset of Twitter posts from four major disasters that impacted the United States in 2021, to quantify the effect that expressed emotions and support typology have on retransmission. Poisson regression models are estimated, and the results show that messages seeking instrumental support are more likely to be retransmitted. Expressions of anger, fear, and sadness increase overall retweets. Moreover, expressions of anger, anticipation, or sadness increase the likelihood of retransmission for messages that seek instrumental help.  
  Address College of Business Administration University of Missouri-St  
  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/DDXJ4655 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2530  
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Author Cruz, J.A. dela; Hendrickx, I.; Larson, M. pdf  doi
openurl 
  Title Towards XAI for Information Extraction on Online Media Data for Disaster Risk Management Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 478-486  
  Keywords Disaster Risk Management; Information Extraction; Explainable AI (XAI); Explainabilit  
  Abstract Disaster risk management practitioners have the responsibility to make decisions at every phase of the disaster risk management cycle: mitigation, preparedness, response and recovery. The decisions they make affect human life. In this paper, we consider the current state of the use of AI in information extraction (IE) for disaster risk management (DRM), which makes it possible to leverage disaster information in social media. We consolidate the challenges and concerns of using AI for DRM into three main areas: limitations of DRM data, limitations of AI modeling and DRM domain-specific concerns, i.e., bias, privacy and security, transparency and accountability, and hype and inflated expectations. Then, we present a systematic discussion of how explainable AI (XAI) can address the challenges and concerns of using AI for IE in DRM.  
  Address Centre for Language Studies, Centre for Language and Speech Technology, Radboud University; Centre for Language Studies, Centre for Language and Speech Technology, Radboud University; Centre for Language Studies,Inst. for Computing and Information Sciences,Radboud 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/BHAE3912 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2541  
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Author Nurollahian, S.; Talegaonkar, I.; Bell, A.Z.; Kogan, M. pdf  doi
openurl 
  Title Factors Affecting Public’s Engagement with Tweets by Authoritative Sources During Crisis Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 459-477  
  Keywords Crisis Informatics; Social Media; Public Engagement; Authoritative Sources; Topic Modeling  
  Abstract People increasingly use social media at the time of crisis, which produces a social media data deluge, where the public may find it difficult to locate trustworthy and credible information. Therefore, they often turn to authoritative sources: official individuals and organizations who are trusted to provide reliable information. It is then imperative that their credible messages reach and engage the widest possible audience, especially among those affected. In this study, we explore the role of metadata and linguistic factors in facilitating three types of engagement — retweets, replies, and favorites— with posts by authoritative sources. We find that many factors are similarly important across models (popularity, sociability, activity). However, some features are salient for only a specific type of engagement. We conclude by providing guidance to authoritative sources on how they may optimize specific types of engagement: retweets for information propagation, replies for in-depth sense-making, and favorites for cross-purpose visibility.  
  Address University of Utah; University of Utah; University of Utah; University of Utah  
  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/AVHJ5856 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2540  
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Author Murray E. Jennex pdf  isbn
openurl 
  Title Social media – Truly viable for crisis 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  
  Volume Issue Pages  
  Keywords Availability; Hardware; Cell phone; Crisis events; Crisis response; San Diego; Social media; Information systems  
  Abstract On September 8, 2011 the Great San Diego/Southwest Blackout occurred. Approximately 5 million people were affected by this blackout. This paper explores the availability of social media following such a crisis event. Contrary to expectations, the cell phone system did not have the expected availability and as a result, users had a difficult time using social media to status/contact family and friends. This paper presents a survey exploring the use and availability of social media during the Great San Diego/Southwest Blackout event. © 2012 ISCRAM.  
  Address San Diego State University, 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 23  
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Author Kartikeya Bajpai; Anuj Jaiswal pdf  isbn
openurl 
  Title A framework for analyzing collective action events on Twitter Type Conference Article
  Year 2011 Publication 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 Abbreviated Journal ISCRAM 2011  
  Volume Issue Pages  
  Keywords Information systems; Collective action; Content and structure; Government censorships; Micro-blogging platforms; Research goals; Social movements; Thailand; Twitter; Social networking (online)  
  Abstract Recent years have witnessed multiple international protest movements which have purportedly been greatly affected by the use of Twitter, a micro-blogging platform. Social movement actors in Iran, Moldova, Kyrgyzstan and Thailand are thought to have utilized Twitter to spread information, co-ordinate protest activities, evade government censorship and, in some cases, to spread misinformation. We propose a framework for conceptualizing and analyzing Twitter data related to contentious collective action crises. Our primary research goal is to delineate a framework informed with a social movements lens and to demonstrate the framework by means of Twitter usage data related to the Thailand protests of 2010. Our proposed framework concerns itself with two aspects of protest activities and Twitter usage, namely, analyzing the content and structure of messages and our construct of Twitter protest waves.  
  Address Pennsylvania State University, United States  
  Corporate Author Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Lisbon Editor M.A. Santos, L. Sousa, E. Portela  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789724922478 Medium  
  Track Social Media and Collaborative Systems Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 283  
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Author Tom Duffy; Richard McMaster; Chris Baber; Robert Houghton pdf  isbn
openurl 
  Title Towards an ontology broker to improve cross-agency sharing in 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  
  Volume Issue Pages  
  Keywords Disasters; Information services; Information systems; Terrorism; Communication and collaborations; Disaster response; Emergency response; Information networks; Organisational boundaries; Shared understanding; Socio-technical networks; Standard operating procedures; Emergency services  
  Abstract Major incidents and disasters tend to be highly complex, contain high levels of uncertainty and may often force official responders to set aside their standard operating procedures and work collaboratively with a range of agencies and actors on the ground. Prior work has shown that establishing clear lines of communication and maintaining a shared understanding across organisational boundaries can be challenging to achieve, particularly in stressful and unusual circumstances. In the present paper we discuss ongoing work into specifying a meta-process for facilitating communication and collaboration based on the observation that common themes that emerge in communication within and across organisational boundaries can subsequently be tracked and built into an Ontology Broker. This work draws on experimental work in our laboratory, observations made in emergency control environments and, emphasised in this paper, lessons learned in the 2005 London bombings. © 2012 ISCRAM.  
  Address University of Birmingham, United Kingdom; University of Nottingham, United Kingdom  
  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 103  
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Author Jacqueline Floch; Michael Angermann; Edel Jennings; Mark Roddy pdf  isbn
openurl 
  Title Exploring cooperating smart spaces for efficient collaboration in disaster 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; Disasters; Information management; Information systems; Space platforms; Ubiquitous computing; Crowd participation; Cscw; Current practices; Disaster management; Disaster scenario; Disaster zones; Social computing; User evaluations; Human resource management  
  Abstract This paper discusses the applicability of Cooperating Smart Spaces in the disaster management realm and their potential to increase the efficiency and effectiveness of rescue relief teams. The Cooperating Smart Space is a novel concept that combines and extends pervasive computing and social computing to support smart space management and community collaboration. Based on an analysis of current practice, we illustrate how the concept can be exploited in the assessment of a disaster scenario in order to improve information management, collaboration between expert teams and cooperation with online volunteers outside of the disaster zone. We present the results of an initial user evaluation by disaster management experts and conclude with important implications for the design of a Cooperating Smart Space platform. © 2012 ISCRAM.  
  Address SINTEF, ICT, Norway; German Aerospace Center (DLR), Germany; Waterford Institute of Technology (TSSG), Ireland  
  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 108  
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Author Amro Al-Akkad; Christian Raffelsberger; Alexander Boden; Leonardo Ramirez; Zimmermann, A. pdf  isbn
openurl 
  Title Tweeting 'when online is off'? Opportunistically creating mobile ad-hoc networks in response to disrupted infrastructure 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 662-671  
  Keywords Information systems; Peer to peer networks; Smartphones; Telecommunication networks; Disruptions; Infrastructure; Isolated islands; Mobile adhoc network (MANETs); Network infrastructure; Opportunistic communications; Peer-to-peer fashion; Two ways; Mobile ad hoc networks  
  Abstract In this paper, we present a system that enables people to post and receive tweets despite disruptions of existing network infrastructure. Our system opportunistically deploys mobile ad hoc networks (MANETs) based on Wi-Fi in which people can communicate with each other in a peer-to-peer fashion. A MANET per se constitutes an isolated island, but as people carry devices around that can join other MANETs, eventually people can transport previously collected data to the online world. Compared to other systems that aim to enable communication in crisis, our system differs in two ways: it does not rely on existing network infrastructure, and it exploits established protocols and standards allowing it to run on off-the-shelf, commercially available smartphones. We evaluated our prototype with a group of students and practitioners. Overall, we received positive feedback on the potential of our technology, but also were pointed to limitations requiring future work.  
  Address Fraunhofer Institute for Applied Information Technology (FIT), Sankt Augustin, Germany; Institute of Information Technology, Lakeside Labs, Alpen-Adria-Universität Klagenfurt, Klagenfurt, Austria; Fraunhofer Headquarters, Berlin, Germany  
  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 262  
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Author Sergio Herranz; David Díez; Dí­az, P.; Starr Roxanne Hiltz pdf  isbn
openurl 
  Title Exploring the design of technological platformsfor virtual communities of practice 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; Design; Disasters; Information systems; Virtual reality; Community IS; Critical domain; Design research; Emergency management; Intrinsic features; Social structure; Technological platform; Virtual communities of practices; Risk management  
  Abstract Virtual Communities of Practice (VCoP) refers to groups of people who share a concern about a specific domain or topic and use a virtual environment to share and increase their knowledge and expertise about this domain. This kind of social structure has intrinsic features suitable to support emergency management communities. Nevertheless, the design of specific technological platforms that support both the activity and the practice of the community is not a trivial task, especially in critical domains such as emergency management. This paper presents the inquiry process carried out over one and a half years for the purpose of generating insights about the application of VCoPs within the emergency management context. Based on a case study, a set of findings is presented about the guidelines that should be followed in order to develop suitable technological platforms that support the labor of VCoPs in the emergency management context. © 2012 ISCRAM.  
  Address DEI Laboratory, Computer Science Department, Universidad Carlos III, Spain  
  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 128  
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Author Peter A. Jongejan; Tim J. Grant pdf  isbn
openurl 
  Title Social media in command & control: An extended framework 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 Communication; Information systems; Peer to peer networks; Basic theory; Crisis management; Dynamic environments; Network-enabled capabilities; Social media; Social software; Theoretical development; Work-in-progress; File editors  
  Abstract Our research is aimed at investigating whether social media has a role to play in military Command & Control. Since social media is peer-to-peer, it could facilitate Network-Enabled Capabilities. A useful theoretical development is Reuter, Marx, and Pipek's (2011) proposal of a two-by-two matrix for social software infrastructure. Their framework assumes one-way communication and monolithic organizations. However, to operate in a real-time, dynamic environment, crisis management organizations must close the decision-making loop. Moreover, they must be structured into an action part that handles the crisis on-site, and a control part that monitors and directs operations in real time. The purpose of this work-in-progress paper is to present our extension of Reuter et al's framework. The paper outlines Reuter et al's framework, summarises the basic theory of Command & Control, describes how we extended Reuter et al's framework, and outlines further research. © 2012 ISCRAM.  
  Address Netherlands Defence Academy, 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 137  
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Author Andrea Kavanaugh; Steven D. Sheetz; Riham Hassan; Seungwon Yang; Hicham G. Elmongui; Edward A. Fox; Mohamed Magdy; Donald J. Shoemaker pdf  isbn
openurl 
  Title Between a rock and a cell phone: Communication and information technology use during the 2011 Egyptian uprising 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 Cellular telephones; Information systems; Mobile phones; Contextual factors; Information technology use; Innovation diffusion; Innovation diffusion theory; Middle East; Opinion leaders; Social media; Social media datum; Social networking (online)  
  Abstract Many observers heralded the use of social media during recent political uprisings in the Middle East even dubbing Iran's post election protests a “Twitter Revolution”. We seek to put into perspective the use of social media in Egypt during the mass political demonstrations in 2011. We draw on innovation diffusion theory to argue that these media could have had an impact beyond their low adoption rates due to other factors related to demographics and social networks. We supplement our social media data analysis with survey data we collected in June 2011 from an opportunity sample of Egyptian youth. We conclude that in addition to the contextual factors noted above, the individuals within Egypt who used Twitter during the uprising have the characteristics of opinion leaders. These findings contribute to knowledge regarding the role of opinion leaders and social media, especially Twitter, during violent political demonstrations. © 2012 ISCRAM.  
  Address Virginia Tech, Blacksburg, VA 24061, United States; Arab Academy for Science and Technology, Cairo, Egypt; Alexandria University, Alexandria, Egypt  
  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 138  
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Author Ahmed Nagy; Jeannie Stamberger pdf  isbn
openurl 
  Title Crowd sentiment detection during disasters and crises 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 Bayesian networks; Emergency services; Information systems; Risk management; Social networking (online); Crisis management; Disaster response; Emergency management; Short message; Twitter; Disasters  
  Abstract Microblogs are an opportunity for scavenging critical information such as sentiments. This information can be used to detect rapidly the sentiment of the crowd towards crises or disasters. It can be used as an effective tool to inform humanitarian efforts, and improve the ways in which informative messages are crafted for the crowd regarding an event. Unique characteristics of microblogs (lack of context, use of jargon etc) in Tweets expressed by a message-sharing social network during a disaster response require special handling to identify sentiment. We present a systematic evaluation of approaches to accurately and precisely identify sentiment in these Tweets. This paper describes sentiment detection expressed in 3698 Tweets, collected during the September 2010, San Bruno, California gas explosion and resulting fires. The data collected was manually coded to benchmark our techniques. We start by using a library of words with annotated sentiment, SentiWordNet 3.0, to detect the basic sentiment of each Tweet. We complemented that technique by adding a comprehensive list of emoticons, a sentiment based dictionary and a list of out-of-vocabulary words that are popular in brief, online text communications such as lol, wow, etc. Our technique performed 27% better than Bayesian Networks alone, and the combination of Bayesian networks with annotated lists provided marginal improvements in sentiment detection than various combinations of lists. © 2012 ISCRAM.  
  Address Carnegie Mellon Silicon Valley, IMT Lucca Institute of Advanced Studies, United States; Disaster Management Initiative, Carnegie Mellon Silicon Valley, 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 173  
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