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Random Forest Location Prediction from Social Networks during Disaster Events
10 references·2 citing·47 second hop
Random Forest Location Prediction from Social Networks during Disaster Events (2019)Random Forest Location Prediction from So…Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose (2021)Is the Sample Good Enough? Co…Sense‐making in social media during extreme events (2017)Sense‐making in social media …A Multi-Element Approach to Location Inference of Twitter: A Case for Emergency Response (2016)A Multi-Element Approach to L…What to Expect When the Unexpected Happens (2015)What to Expect When the Unexp…Processing Social Media Messages in Mass Emergency (2015)Processing Social Media Messa…Knowing the Tweeters: Deriving Sociologically Relevant Demographics from Twitter (2013)Knowing the Tweeters: Derivin…Evidential location estimation for events detected in Twitter (2013)Evidential location estimatio…#Earthquake: Twitter as a Distributed Sensor System (2012)#Earthquake: Twitter as a Dis…You are where you tweet (2010)You are where you tweetTwitter adoption and use in mass convergence and emergency events (2009)Twitter adoption and use in m…Geotagging Social Media Posts to Landmarks Using Hierarchical BERT (Student Abstract) (2022)Geotagging Social Media Posts…SURICATE-Nat: Innovative citizen centered platform for Twitter based natural disaster monitoring (2019)SURICATE-Nat: Innovative citi…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)Toward a Theory of Situation Awareness in Dynamic Systems (1995)Disasters by Design: A Reassessment of Natural Hazards in the United States (1999)Microblogging during two natural hazards events (2010)Fifteen years of social media in emergencies: A retrospective review and future directions for crisis Informatics (2017)Detection and Resolution of Rumours in Social Media (2018)Disaster City Digital Twin: A vision for integrating artificial and human intelligence for disaster management (2019)Citizen communications in crisis (2007)Crisis in a Networked World (2009)Technology Adoption and Use in the Aftermath of Hurricane Katrina in New Orleans (2010)Twitter under crisis (2010)Information, Community, and Action: How Nonprofit Organizations Use Social Media* (2012)Information credibility on twitter (2011)TEDAS: A Twitter-based Event Detection and Analysis System (2012)Real-time analysis application for identifying bursty local areas related to emergency topics (2015)Extracting Location Information from Crowd-sourced Social Network Data (2016)Localization of Unidentified Events with Raw Microblogging Data (2022)Mapping the world's photos (2009)Find me if you can (2010)Online Social Networks: Threats and Solutions (2014)Exploring Millions of Footprints in Location Sharing Services (2021)Citizens as sensors: the world of volunteered geography (2007)Users of the world, unite! The challenges and opportunities of Social Media (2009)Crowdsourcing geographic information for disaster response: a research frontier (2010)Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information (2016)Big data and disaster management: a systematic review and agenda for future research (2017)Social media analytics for natural disaster management (2017)Facebook and Online Privacy: Attitudes, Behaviors, and Unintended Consequences (2009)Predicting the Future with Social Media (2010)Where in the World Are You? Geolocation and Language Identification in Twitter (2014)Cyberhate on Social Media in the aftermath of Woolwich: A Case Study in Computational Criminology and Big Data (2015)The Digital Divide Among Twitter Users and Its Implications for Social Research (2016)Towards an Ethical Framework for Publishing Twitter Data in Social Research: Taking into Account Users’ Views, Online Context and Algorithmic Estimation (2017)What do people study when they study Twitter? Classifying Twitter related academic papers (2013)Event classification and location prediction from tweets during disasters (2017)Twitter as a tool for the management and analysis of emergency situations: A systematic literature review (2018)A Twitter Data Credibility Framework—Hurricane Harvey as a Use Case (2019)Communities of Practice (1998)Organizing and the Process of Sensemaking (2005)Communities of Practice and Social Learning Systems: the Career of a Concept (2010)Collective sense-making in times of crisis: Connecting terror management theory with Twitter user reactions to the Berlin terrorist attack (2019)Communication-related vulnerability to disasters: A heuristic framework (2020)Who do you trust? The digital destruction of shared situational awareness and the COVID-19 infodemic (2020)CrisisMMD: Multimodal Twitter Datasets from Natural Disasters (2018)
this work references cited by second hop

References

  • 2010You are where you tweet1,069 cited
  • 2009Twitter adoption and use in mass convergence and emergency events993 cited
  • 2015Processing Social Media Messages in Mass Emergency810 cited
  • 2021Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose808 cited
  • 2012#Earthquake: Twitter as a Distributed Sensor System470 cited
  • 2015What to Expect When the Unexpected Happens403 cited
  • 2013Knowing the Tweeters: Deriving Sociologically Relevant Demographics from Twitter197 cited
  • 2017Sense‐making in social media during extreme events179 cited
  • 2016A Multi-Element Approach to Location Inference of Twitter: A Case for Emergency Response66 cited
  • 2013Evidential location estimation for events detected in Twitter25 cited

Cited by

  • 2019SURICATE-Nat: Innovative citizen centered platform for Twitter based natural disaster monitoring9 cited
  • 2022Geotagging Social Media Posts to Landmarks Using Hierarchical BERT (Student Abstract)3 cited

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