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A Hybrid Machine Learning Pipeline for Automated Mapping of Events and Locations From Social Media in Disasters
13 references·16 citing·42 second hop
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References

  • 2015Understanding Human Mobility from Twitter558 cited
  • 2014AIDR471 cited
  • 2018CrisisMMD: Multimodal Twitter Datasets from Natural Disasters389 cited
  • 2013Extracting Information Nuggets from Disaster- Related Messages in Social Media387 cited
  • 2016Crisis informatics—New data for extraordinary times307 cited
  • 2019Social media for intelligent public information and warning in disasters: An interdisciplinary review293 cited
  • 2016Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages239 cited
  • 2013CrisisTracker: Crowdsourced social media curation for disaster awareness211 cited
  • 2017Event classification and location prediction from tweets during disasters210 cited
  • 2021TweetTracker: An Analysis Tool for Humanitarian and Disaster Relief203 cited
  • 2021Population Bias in Geotagged Tweets164 cited
  • 2012Location inference using microblog messages98 cited
  • 2015Using Structural Topic Modeling to Detect Events and Cluster Twitter Users in the Ukrainian Crisis50 cited

Cited by

  • 2022Social media use in disaster recovery: A systematic literature review170 cited
  • 2020Spatial biases in crowdsourced data: Social media content attention concentrates on populous areas in disasters

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77 cited
  • 2021Vulnerable populations and social media use in disasters: Uncovering the digital divide in three major U.S. hurricanes65 cited
  • 2021Text and Dynamic Network Analysis for Measuring Technological Convergence: A Case Study on Defense Patent Data58 cited
  • 2021Tweet, like, subscribe! Understanding leadership through social media use54 cited
  • 2020Crowd or Hubs: information diffusion patterns in online social networks in disasters52 cited
  • 2023Classification and detection of natural disasters using machine learning and deep learning techniques: A review43 cited
  • 2020Classifying informative and non-informative tweets from the twitter by adapting image features during disaster43 cited
  • 2020Excessive Enterprise Social Media Use Behavior at Work: Role of Communication Visibility and Perspective of Uses and Gratifications Theory37 cited
  • 2023A RoBERTa based model for identifying the multi-modal informative tweets during disaster32 cited
  • 2021Development of Social Media Analytics System for Emergency Event Detection and Crisis Management25 cited
  • 2020Towards Fairness-Aware Disaster Informatics: an Interdisciplinary Perspective20 cited
  • 2023Analyzing and Leveraging Social Media Disaster Communication of Natural Hazards: Community Sentiment and Messaging Regarding the Australian 2019/20 Bushfires14 cited
  • 2024A review of deep learning techniques for disaster management in social media: trends and challenges14 cited
  • 2024Surveying the Use of Social Media Data and Natural Language Processing Techniques to Investigate Natural Disasters10 cited
  • 2021Spatial Data Infrastructure Integrated with Geospatial Artificial Intelligence: A Systematic Literature Review8 cited