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Legal and ethical considerations for demand-driven data collection and AI-based analysis in flood response
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References

  • 2021FakeBERT: Fake news detection in social media with a BERT-based deep learning approach800 cited
  • 2019Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries762 cited
  • 2020Applications of artificial intelligence for disaster management488 cited
  • 2018Fake News identification on Twitter with Hybrid CNN and RNN Models318 cited
  • 2016Global trends in satellite-based emergency mapping244 cited
  • 2010A framework for the ethical impact assessment of information technology223 cited
  • 2019Changes in risk of extreme weather events in Europe201 cited
  • 2014The limits of crisis data: analytical and ethical challenges of using social and mobile data to understand disasters193 cited
  • 2019Social media in disaster communication: A case study of strategies, barriers, and ethical implications170 cited
  • 2023QMFND: A quantum multimodal fusion-based fake news detection model for social media144 cited
  • 2013People as Sensors and Collective Sensing-Contextual Observations Complementing Geo-Sensor Network Measurements130 cited
  • 2021Fairness and accountability of AI in disaster risk management: Opportunities and challenges111 cited
  • 2021Twitter for disaster relief through sentiment analysis for COVID-19 and natural hazard crises109 cited
  • 2016Evidence and future potential of mobile phone data for disease disaster management

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81 cited
  • 2023Using artificial intelligence to identify emergency messages on social media during a natural disaster: A deep learning approach64 cited
  • 2016Understanding Public Opinions from Geosocial Media38 cited
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