SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Event news detection and citizens community structure for disaster management in social networks
9 references·2 citing·44 second hop
Event news detection and citizens community structure for disaster management in social networks (2018)Event news detection and citizens communi…Natural Language Processing to the Rescue? Extracting "Situational Awareness" Tweets During Mass Emergency (2021)Natural Language Processing t…SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours (2017)SemEval-2017 Task 8: RumourEv…Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are (2017)Everybody Lies: Big Data, New…Review on event detection techniques in social multimedia (2016)Review on event detection tec…Emerging Journalistic Verification Practices Concerning Social Media (2015)Emerging Journalistic Verific…CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises (2014)CrisisLex: A Lexicon for Coll…Curating and contextualizing Twitter stories to assist with social newsgathering (2013)Curating and contextualizing …Finding and assessing social media information sources in the context of journalism (2012)Finding and assessing social …Breaking News Detection and Tracking in Twitter (2010)Breaking News Detection and T…Disaster Detection and Alert Generation for Smart City Scenario using Deep Learning Technique (2023)Disaster Detection and Alert …IoT-Based Disaster Detection Model Using Social Networks and Machine Learning (2021)IoT-Based Disaster Detection …What Is News? Galtung and Ruge revisited (2001)TWITTERING THE NEWS (2010)Information credibility on twitter (2011)Tweet, but verify: epistemic study of information verification on Twitter (2014)Learning Reporting Dynamics during Breaking News for Rumour Detection in Social Media (2016)Discourse-aware rumour stance classification in social media using sequential classifiers (2017)InterViews: An introduction to qualitative research interviewing (1997)Technology and Institutions: What Can Research on Information Technology and Research on Organizations Learn from Each Other?1 (2001)Users of the world, unite! The challenges and opportunities of Social Media (2009)Audiences’ acts of authentication in the age of fake news: A conceptual framework (2017)A Decade of Research on Social Media and Journalism: Assumptions, Blind Spots, and a Way Forward (2018)Microblogging during two natural hazards events (2010)You are where you tweet (2010)The promise and peril of real-time corrections to political misperceptions (2013)Identifying and Verifying News through Social Media (2014)TEDAS: A Twitter-based Event Detection and Analysis System (2012)Prominent Features of Rumor Propagation in Online Social Media (2013)Big Data: A Survey (2014)Feasibility study of using crowdsourcing to identify critical affected areas for rapid damage assessment: Hurricane Matthew case study (2018)Localization of Unidentified Events with Raw Microblogging Data (2022)Rumor has it: Identifying Misinformation in Microblogs (2011)Big Questions for Social Media Big Data: Representativeness, Validity and Other Methodological Pitfalls (2014)Automated Fact Checking: Task formulations, methods and future directions (2018)Detection and Resolution of Rumours in Social Media (2018)FANG (2020)Sentiment Analysis for Fake News Detection (2021)Design and Deployment of a Flash Flood Monitoring IoT: Challenges and Opportunities (2020)A Coefficient of Agreement for Nominal Scales (1960)Language As Social Semiotic (1978)Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment (2010)Faking Sandy (2013)TweetCred: Real-Time Credibility Assessment of Content on Twitter (2014)Applications of artificial intelligence for disaster management (2020)Twitter adoption and use in mass convergence and emergency events (2009)Using Social Media to Enhance Emergency Situation Awareness (2012)What to Expect When the Unexpected Happens (2015)Robust Classification of Crisis-Related Data on Social Networks Using Convolutional Neural Networks (2017)CrisisMMD: Multimodal Twitter Datasets from Natural Disasters (2018)Discovery of local topics by using latent spatio-temporal relationships in geo-social media (2016)Between the technological hare and the journalistic tortoise: Minimization of knowledge claims in online news flashes (2017)Journalistic Source Discovery: Supporting The Identification of News Sources in User Generated Content (2021)A review of experiments in tourism and hospitality (2020)Social Media and Democracy (2020)Social Media, Echo Chambers, and Political Polarization (2020)
this work references cited by second hop

References

  • 2014CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises395 cited
  • 2017Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are348 cited
  • 2017SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours323 cited
  • 2021Natural Language Processing to the Rescue? Extracting "Situational Awareness" Tweets During Mass Emergency314 cited
  • 2010Breaking News Detection and Tracking in Twitter275 cited
  • 2015Emerging Journalistic Verification Practices Concerning Social Media233 cited
  • 2012Finding and assessing social media information sources in the context of journalism221 cited
  • 2013Curating and contextualizing Twitter stories to assist with social newsgathering49 cited
  • 2016Review on event detection techniques in social multimedia29 cited

Cited by

  • 2023Disaster Detection and Alert Generation for Smart City Scenario using Deep Learning Technique6 cited
  • 2021IoT-Based Disaster Detection Model Using Social Networks and Machine Learning5 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work