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Diagnosis, Prevention, and Cure for Misinformation

  • Colorado State University

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

Abstract

Misinformation has become a widespread problem in contemporary society, harming the most vulnerable sections in particular. It incurs a high cost on everyone - socially, politically, and even financially. Much of the progress made in tackling misinformation, however, has only offered relatively simple solutions by taking a narrow view of 'misinformation' itself. We discuss the various nuances of the term, illustrating the technical difficulties that arise from them, and propose a multiplicity of context-sensitive modeling approaches that may prove to be fruitful in addressing these difficulties. A tremendous amount of work remains to be done to ensure our inoculation from misinformation and its harmful effects, and much of this work, we argue, requires collaborative effort across disciplines. It is our hope that this article serves as a call to further such research in this field.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE 3rd International Conference on Cognitive Machine Intelligence, CogMI 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages156-162
Number of pages7
ISBN (Electronic)9781665416214
DOIs
StatePublished - 2021
Event3rd IEEE International Conference on Cognitive Machine Intelligence, CogMI 2021 - Virtual, Online, United States
Duration: Dec 13 2021Dec 15 2021

Publication series

NameProceedings - 2021 IEEE 3rd International Conference on Cognitive Machine Intelligence, CogMI 2021

Conference

Conference3rd IEEE International Conference on Cognitive Machine Intelligence, CogMI 2021
Country/TerritoryUnited States
CityVirtual, Online
Period12/13/2112/15/21

Keywords

  • Misinformation
  • deception
  • linguistics
  • multi-modal learning
  • natural language processing

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