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Tweeting after an earthquake: user localization and communication patterns during the 2012 Emilia seismic sequence
16 references·1 citing·48 second hop
Tweeting after an earthquake: user localization and communication patterns during the 2012 Emilia seismic sequence (2016)Tweeting after an earthquake: user locali…Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose (2021)Is the Sample Good Enough? 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Can Twitter Improve Earthquake Response? (2010)OMG Earthquake! Can Twitter I…Handbook of Disaster Research (2007)Handbook of Disaster ResearchGrounded Theory – Strategien qualitativer Forschung (2006)Grounded Theory – Strategien …Feasibility study of using crowdsourcing to identify critical affected areas for rapid damage assessment: Hurricane Matthew case study (2018)Feasibility study of using cr…Empirical study of topic modeling in Twitter (2010)Twitter use in election campaigns: A systematic literature review (2015)Social media analytics – Challenges in topic discovery, data collection, and data preparation (2017)A Survey on Bias and Fairness in Machine Learning (2021)Framing European politics: A Content Analysis of Press and Television News (2000)Engaging stakeholders through social networking: How nonprofit organizations are using Facebook (2009)How do the news media frame crises? A content analysis of crisis news coverage (2009)What do people study when they study Twitter? Classifying Twitter related academic papers (2013)Twitter as a tool for the management and analysis of emergency situations: A systematic literature review (2018)Communicating health crisis: a content analysis of global media framing of COVID-19 (2020)Citizens as sensors: the world of volunteered geography (2007)CRITICAL QUESTIONS FOR BIG DATA (2012)Big data: a revolution that will transform how we live, work, and think (2013)The role of Big Data in explaining disaster resilience in supply chains for sustainability (2016)Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019)Applications of artificial intelligence for disaster management (2020)Twitter adoption and use in mass convergence and emergency events (2009)Microblogging during two natural hazards events (2010)Online communication on climate change and climate politics: a literature review (2012)Policing in pandemics: A systematic review and best practices for police response to COVID-19 (2020)Social media in times of crisis: Learning from Hurricane Harvey for the coronavirus disease 2019 pandemic response (2020)Mass Communication and Para-Social Interaction (1956)The Presentation of Self in Everyday Life. 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References

  • 2006Grounded Theory – Strategien qualitativer Forschung1,276 cited
  • 2011To See and Be Seen: Celebrity Practice on Twitter1,186 cited
  • 2007Handbook of Disaster Research936 cited
  • 2021Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose808 cited
  • 2010The Handbook of Crisis Communication676 cited
  • 2013Mapping the global Twitter heartbeat: The geography of Twitter379 cited
  • 2010Pass It On?: Retweeting in Mass Emergency270 cited
  • 2011Hope for Haiti: An analysis of Facebook and Twitter usage during the earthquake relief efforts262 cited
  • 2014Mapping the data shadows of Hurricane Sandy: Uncovering the sociospatial dimensions of ‘big data’253 cited
  • 2012#qldfloods and @QPSMedia: Crisis Communication on Twitter in the 2011 South East Queensland Floods243 cited
  • 2010OMG Earthquake! Can Twitter Improve Earthquake Response?196 cited
  • 2012TWITTER AND DISASTERS160 cited
  • 2014Social media in disaster response: How experience architects can build for participation88 cited
  • 2016A framework for detecting unfolding emergencies using humans as sensors61 cited
  • 2015Red Tape: Attitudes and issues related to use of social media by U.S. county-level emergency managers

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42 cited
  • 2012Social media use and goals after the Great East Japan Earthquake29 cited
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    • 2018Feasibility study of using crowdsourcing to identify critical affected areas for rapid damage assessment: Hurricane Matthew case study119 cited