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SensePlace2: GeoTwitter analytics support for situational awareness

Alan M. MacEachren, Anuj Jaiswal, Anthony C. Robinson, Scott Pezanowski, Alexander Savelyev, Prasenjit Mitra, Xiao Zhang, Justine Blanford
2011 2011 IEEE Conference on Visual Analytics Science and Technology (VAST)  
Here, we present a geovisual analytics approach to supporting SA for crisis events using one source of social media, Twitter.  ...  Geographically-grounded situational awareness (SA) is critical to crisis management and is essential in many other decision making domains that range from infectious disease monitoring, through regional  ...  [2] as a potentially rich source of time-critical information that can enhance situational awareness and alert practitioners to events and situations needing their attention.  ... 
doi:10.1109/vast.2011.6102456 dblp:conf/ieeevast/MacEachrenJRPSMZB11 fatcat:tqbhxuboqvherb5byxvutmdxzm

A behavior analytics approach to identifying tweets from crisis regions

Shamanth Kumar, Xia Hu, Huan Liu
2014 Proceedings of the 25th ACM conference on Hypertext and social media - HT '14  
Due to the sheer volume of information generated during a disaster, a key challenge is to filter tweets from the crisis region so their analysis can be prioritized.  ...  In this paper, we introduce the task of identifying whether a tweet is generated from crisis regions and formulate it as a decision problem.  ...  Acknowledgments This work was supported in part by the Office of Naval Research grants N000141110527 and N000141410095.  ... 
doi:10.1145/2631775.2631814 dblp:conf/ht/KumarHL14 fatcat:6pbrmxmy5fhkfayhh7swvfqmmi

How Advanced Technological Approaches Are Reshaping Sustainable Social Media Crisis Management and Communication: A Systematic Review

Umar Ali Bukar, Fatimah Sidi, Marzanah A. Jabar, Rozi Nor Haizan Nor, Salfarina Abdullah, Iskandar Ishak, Mustafa Alabadla, Ali Alkhalifah
2022 Sustainability  
services, community resilience, situational awareness, and social position.  ...  The analysis shows the significance of these tools in advancing sustainable crisis management to support decision making, information management, communication, collaboration and cooperation, location-based  ...  Acknowledgments: The authors acknowledge Universiti Putra Malaysia and the Faculty of Computer Science and Information Technology, Malaysia, for all the support.  ... 
doi:10.3390/su14105854 fatcat:njo6yy6tevebbkzqzwz4vieptm

Summarizing Situational and Topical Information During Crises [article]

Koustav Rudra, Siddhartha Banerjee, Niloy Ganguly, Pawan Goyal, Muhammad Imran, Prasenjit Mitra
2016 arXiv   pre-print
For rapid crisis response, humanitarian organizations look for situational awareness information to understand and assess the severity of the crisis.  ...  and then follows a word graph and concept event based abstractive summarization technique to produce the final summary.  ...  IDENTIFICATION OF SUB-TOPICS AND SUMMARIZATION Following a major crisis, a number of small-scale sub-events such as 'power outage', 'bridge closure' etc. happen.  ... 
arXiv:1610.01561v1 fatcat:qrvz63akrnepnec77kr4r3w3la

Development of Social Media Analytics System for Emergency Event Detection and Crisis Management

Shaheen Khatoon, Majed A. Alshamari, Amna Asif, Md Maruf Hasan, Sherif Abdou, Khaled Mostafa Elsayed, Mohsen Rashwan
2021 Computers Materials & Continua  
Emergency response authorities, law enforcement agencies, and the public can use this information to gain situational awareness and improve disaster response.  ...  However, most of the present deployments of platforms in crisis management are not automated, and their operational success largely depends on experts who analyze the information manually and coordinate  ...  Ushahidi [3] is another open-source crowdsourcing platform developed to monitor violence during a crisis and raise awareness about attackers.  ... 
doi:10.32604/cmc.2021.017371 fatcat:mn52zhpzevb7zpwyixaq4jt3ri

AI for Trustworthiness! Credible User Identification on Social Web for Disaster Response Agencies [article]

Rahul Pandey, Hemant Purohit, Jennifer Chan, Aditya Johri
2018 arXiv   pre-print
Therefore, we examine social media using AI and Machine Learning methods during three types of humanitarian or disaster events and identify key actors responding to social media conversations as organization  ...  user accounts on social media in realtime for effective information collection and dissemination.  ...  National Science Foundation for grants IIS-1657379 and DUE-1707837.  ... 
arXiv:1810.01013v1 fatcat:b6cl5fx62rf73o3y43viyj4k7e

Social Media Text Mining Framework for Drug Abuse: An Opioid Crisis Case Analysis (Preprint)

Tareq Nasralah, Omar El-Gayar, Yong Wang
2020 Journal of Medical Internet Research  
Social media are considered promising and viable sources of data for gaining insights into various disease conditions and patients' attitudes, behaviors, and medications.  ...  The results from the case analysis showed that the framework could improve the discovery and identification of topics in social media domains characterized by a plethora of highly diverse terms and lack  ...  timely information for epidemiologic surveillance [9] , and analyze the public's reactions to the opioid crisis [10] .  ... 
doi:10.2196/18350 pmid:32788147 fatcat:iy222c324ze7hhn4lirswe6dqu

Processing Social Media Messages in Mass Emergency: A Survey [article]

Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg
2015 arXiv   pre-print
These challenges can be mapped to classical information processing operations such as filtering, classifying, ranking, aggregating, extracting, and summarizing.  ...  We examine the particularities of this setting, and then methodically examine a series of key sub-problems ranging from the detection of events to the creation of actionable and useful summaries.  ...  Table I: Example systems described in the academic literature that extract crisis- relevant information from social media.  ... 
arXiv:1407.7071v3 fatcat:e7mcvae5freddaus7ndolygeti

A Twitter Tale of Three Hurricanes: Harvey, Irma, and Maria [article]

Firoj Alam, Ferda Ofli, Muhammad Imran, Michael Aupetit
2018 arXiv   pre-print
Our study reveals the distributions of various types of useful information that can inform crisis managers and responders as well as facilitate the development of future automated systems for disaster  ...  This work presents an extensive multidimensional analysis of textual and multimedia content from millions of tweets shared on Twitter during the three disaster events.  ...  We also would like to thank our anonymous reviewers for their detailed and constructive comments.  ... 
arXiv:1805.05144v2 fatcat:segxwd2s7nhbnnlsuwpxtzgld4

Ranking of Social Media Alerts with Workload Bounds in Emergency Operation Centers

Hemant Purohit, Carlos Castillo, Muhammad Imran, Rahul Pandey
2018 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)  
Extensive research on social media usage during emergencies has shown its value to provide life-saving information, if a mechanism is in place to filter and prioritize messages.  ...  We demonstrate the applicability of this approach for Emergency Operation Centers (EOCs) by performing an evaluation based on real world data from six crisis events.  ...  [25] proposed a framework that first classifies tweets to extract situational information and then, summarizes the information for a user.  ... 
doi:10.1109/wi.2018.00-88 dblp:conf/webi/Purohit00P18 fatcat:7hdg7rettrbcrkpjxbanqc2way

Ranking of Social Media Alerts with Workload Bounds in Emergency Operation Centers [article]

Hemant Purohit, Carlos Castillo, Muhammad Imran, Rahul Pandey
2018 arXiv   pre-print
Extensive research on social media usage during emergencies has shown its value to provide life-saving information, if a mechanism is in place to filter and prioritize messages.  ...  We demonstrate the applicability of this approach for Emergency Operation Centers (EOCs) by performing an evaluation based on real world data from six crisis events.  ...  [25] proposed a framework that first classifies tweets to extract situational information and then, summarizes the information for a user.  ... 
arXiv:1809.08489v1 fatcat:e3nncq7sbnh77nr726igggkm6q

Processing Social Media Messages in Mass Emergency

Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg
2015 ACM Computing Surveys  
These challenges can be mapped to classical information processing operations such as filtering, classifying, ranking, aggregating, extracting, and summarizing.  ...  Research thus far has, to a large extent, produced methods to extract situational awareness information from social media.  ...  ACKNOWLEDGMENTS We are thankful to Jakob Rogstadius and Per Aarvik, who pointed us to historical information.  ... 
doi:10.1145/2771588 fatcat:fb6bypzs6zdqznxv4maltpxvqq

Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness

Luke S. Snyder, Yi-Shan Lin, Morteza Karimzadeh, Dan Goldwasser, David S. Ebert
2019 IEEE Transactions on Visualization and Computer Graphics  
However, due to the high noise in the deluge of data, effectively determining semantically relevant information can be difficult, further complicated by the changing definition of relevancy by each end  ...  We present a novel interactive learning framework to improve the classification process in which the user iteratively corrects the relevancy of tweets in real-time to train the classification model on-the-fly  ...  However, the vast amounts of unstructured text make the identification of relevant information nontrivial, limiting situational awareness.  ... 
doi:10.1109/tvcg.2019.2934614 pmid:31442995 fatcat:6jwypxesz5corklkwc4zmrvtma

COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification [article]

Jim Samuel, G. G. Md. Nawaz Ali, Md. Mokhlesur Rahman, Ek Esawi, Yana Samuel
2020 arXiv   pre-print
Along with the Coronavirus pandemic, another crisis has manifested itself in the form of mass fear and panic phenomena, fueled by incomplete and often inaccurate information.  ...  There is therefore a tremendous need to address and better understand COVID-19's informational crisis and gauge public sentiment, so that appropriate messaging and policy decisions can be implemented.  ...  This research outlines a methodological approach to analyzing Twitter data specifically for identification of sentiment, key words associations and trends for crisis scenarios akin to the current COVID  ... 
arXiv:2005.10898v1 fatcat:zsqftqos65az3olcgy6gepxbs4

COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification

Jim Samuel, G. G. Md. Nawaz Ali, Md. Mokhlesur Rahman, Ek Esawi, Yana Samuel
2020 Information  
Along with the Coronavirus pandemic, another crisis has manifested itself in the form of mass fear and panic phenomena, fueled by incomplete and often inaccurate information.  ...  There is therefore a tremendous need to address and better understand COVID-19's informational crisis and gauge public sentiment, so that appropriate messaging and policy decisions can be implemented.  ...  All authors did edit, review and improve the manuscript. Table 1 . 1 Tweet features summarized by source category.  ... 
doi:10.3390/info11060314 fatcat:4raybo6qbvdxde5opxbdu6ab3q
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