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Aid is Out There: Looking for Help from Tweets during a Large Scale Disaster
5 references·16 citing·49 second hop
Aid is Out There: Looking for Help from Tweets during a Large Scale Disaster (2013)Aid is Out There: Looking for Help from T…Twitter for crisis communication: lessons learned from Japan's tsunami disaster (2011)Twitter for crisis communicat…Microblogging during two natural hazards events (2010)Microblogging during two natu…Chatter on the red (2010)Chatter on the redOnline Community Response to Major Disaster: A Study of Tianya Forum in the 2008 Sichuan Earthquake (2009)Online Community Response to …Measuring nominal scale agreement among many raters. (1971)Measuring nominal scale agree…Automated Machine Learning Approaches for Emergency Response and Coordination via Social Media in the Aftermath of a Disaster: A Review (2021)Automated Machine Learning Ap…Detection of situational information from Twitter during disaster using deep learning models (2020)Detection of situational info…Utilizing microblogs for assisting post-disaster relief operations via matching resource needs and availabilities (2019)Utilizing microblogs for assi…Using a combination of human insights and ‘deep learning’ for real-time disaster communication (2019)Using a combination of human …Twitter vs News: Concern Analysis of the 2018 California Wildfire Event (2019)Twitter vs News: Concern Anal…Forecasting People’s Needs in Hurricane Events from Social Network (2019)Forecasting People’s Needs in…Extracting Resource Needs and Availabilities From Microblogs for Aiding Post-Disaster Relief Operations (2019)Extracting Resource Needs and…Social-EOC: Serviceability Model to Rank Social Media Requests for Emergency Operation Centers (2018)Social-EOC: Serviceability Mo…Identifying Sub-events and Summarizing Disaster-Related Information from Microblogs (2018)Identifying Sub-events and Su…Graph Based Semi-Supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets (2018)Graph Based Semi-Supervised L…Intelligent Disaster Response via Social Media Analysis A Survey (2017)Intelligent Disaster Response…Identifying Post-Disaster Resource Needs and Availabilities from Microblogs (2017)Identifying Post-Disaster Res…Data-Driven Techniques in Disaster Information Management (2017)Data-Driven Techniques in Dis…Applications of Online Deep Learning for Crisis Response Using Social Media Information (2016)Applications of Online Deep L…Extracting situational awareness from microblogs during disaster events (2015)Extracting situational awaren…EMTerms 1.0: A terminological resource for crisis tweets (2015)EMTerms 1.0: A terminological…Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. 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Extracting "Situational Awareness" Tweets During Mass Emergency (2021)Using social media for sub-event detection during disasters (2021)Detecting rumors from microblogs with recurrent neural networks (2016)Multi-source Multimodal Data and Deep Learning for Disaster Response: A Systematic Review (2021)Addressing bias in artificial intelligence for public health surveillance (2023)Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment (2010)Predicting the Future with Social Media (2010)Speech and language processing (2010)Uncovering sentiment and retweet patterns of disaster-related tweets from a spatiotemporal perspective – A case study of Hurricane Harvey (2019)Social media information sharing for natural disaster response (2021)Social Capital: A Missing Link to Disaster Recovery (2004)Handbook of Disaster Research (2007)The Concept of Information Overload - A Review of Literature from Organization Science, Accounting, Marketing, MIS, and Related Disciplines (2004) (2008)A Survey of Emergencies Management Systems in Smart Cities (2022)Disaster Analysis Using Machine Learning (2022)Transforming ground disaster response: Recent technological advances, challenges, and future trends for rapid and accurate real-world applications of survivor detection (2023)
this work references cited by second hop

References

  • 1971Measuring nominal scale agreement among many raters.8,717 cited
  • 2010Microblogging during two natural hazards events1,432 cited
  • 2010Chatter on the red438 cited
  • 2011Twitter for crisis communication: lessons learned from Japan's tsunami disaster419 cited
  • 2009Online Community Response to Major Disaster: A Study of Tianya Forum in the 2008 Sichuan Earthquake170 cited

Cited by

  • 2017Data-Driven Techniques in Disaster Information Management360 cited
  • 2017Intelligent Disaster Response via Social Media Analysis A Survey86 cited
  • 2021Automated Machine Learning Approaches for Emergency Response and Coordination via Social Media in the Aftermath of a Disaster: A Review82 cited
  • 2019Extracting Resource Needs and Availabilities From Microblogs for Aiding Post-Disaster Relief Operations79 cited
  • 2018Identifying Sub-events and Summarizing Disaster-Related Information from Microblogs78 cited
  • 2016Applications of Online Deep Learning for Crisis Response Using Social Media Information71 cited
  • 2018Graph Based Semi-Supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets69 cited
  • 2019Using a combination of human insights and ‘deep learning’ for real-time disaster communication66 cited
  • 2019Utilizing microblogs for assisting post-disaster relief operations via matching resource needs and availabilities

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61 cited
  • 2019Forecasting People’s Needs in Hurricane Events from Social Network46 cited
  • 2017Identifying Post-Disaster Resource Needs and Availabilities from Microblogs41 cited
  • 2019Twitter vs News: Concern Analysis of the 2018 California Wildfire Event41 cited
  • 2015Extracting situational awareness from microblogs during disaster events40 cited
  • 2015EMTerms 1.0: A terminological resource for crisis tweets39 cited
  • 2020Detection of situational information from Twitter during disaster using deep learning models34 cited
  • 2018Social-EOC: Serviceability Model to Rank Social Media Requests for Emergency Operation Centers34 cited