Machine Learning Approach to Detect Fake News, Misinformation in COVID-19 Pandemic

Sirisha Bojjireddy, Soon Ae Chun, James Geller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Fake news is false information about current events, intentionally created to mislead readers. The spread of such fake news has the potential to create a negative impact on individuals and society. With today's straightforward creation of social media posts, there has been an increasing amount of fake news, compared to traditional media in the past. We present one of the most serious societal issue of misinformation, specifically using Presidential Election and COVID-19 health related fake news. We present multi-dimensional approaches that organizations and individuals could utilize for detecting fake news, ranging from human/social approaches, to technical approaches to organizational trust/policy approaches. The Machine Learning approach as a technical solution is presented for automating the detection of fake news and misleading contents. A fake news detection web application is presented to make it easy for end users to determine whether an article is legitimate or fake.

Original languageEnglish (US)
Title of host publicationProceedings of the 22nd Annual International Conference on Digital Government Research
Subtitle of host publicationDigital Innovations for Public Values: Inclusive Collaboration and Community, DGO 2021
EditorsJooho Lee, Gabriela Viale Pereira, Sungsoo Hwang
PublisherAssociation for Computing Machinery
Pages575-578
Number of pages4
ISBN (Electronic)9781450384926
DOIs
StatePublished - Jun 9 2021
Event22nd Annual International Conference on Digital Government Research: Digital Innovations for Public Values: Inclusive Collaboration and Community, DGO 2021 - Virtual, Online, United States
Duration: Jun 9 2021Jun 11 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference22nd Annual International Conference on Digital Government Research: Digital Innovations for Public Values: Inclusive Collaboration and Community, DGO 2021
Country/TerritoryUnited States
CityVirtual, Online
Period6/9/216/11/21

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Keywords

  • Covid-19 misinformation
  • Fake news
  • machine learning
  • misinformation

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