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Misinformation in Crises: A Conceptual Framework for Examining Human-Machine Interactions

  • University of Texas at San Antonio

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Misinformation can cause severe consequences to individuals and organizations. During humanitarian crises, communities are vulnerable to misinformation. Considering the interaction of human and machine factors, we propose a conceptual framework based on two activity systems: generation and mitigation of misinformation. Such framework helps enrich the understanding of misinformation diffusion processes with certain roles of involved stakeholders as well as sheds light on potential future research directions that can benefit communities of victims for the wellbeing of the society.

Original languageEnglish
Title of host publication2020 IEEE / ITU International Conference on Artificial Intelligence for Good, AI4G 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages46-50
Number of pages5
ISBN (Electronic)9781728170312
DOIs
StatePublished - Sep 21 2020
Event2020 IEEE / ITU International Conference on Artificial Intelligence for Good, AI4G 2020 - Geneva, Switzerland
Duration: Sep 21 2020Sep 25 2020

Publication series

Name2020 IEEE / ITU International Conference on Artificial Intelligence for Good, AI4G 2020

Conference

Conference2020 IEEE / ITU International Conference on Artificial Intelligence for Good, AI4G 2020
Country/TerritorySwitzerland
CityGeneva
Period09/21/2009/25/20

Keywords

  • activity theory
  • framework
  • harms
  • human-machine interaction
  • misinformation

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