TY - GEN
T1 - Machine Learning Approach to Detect Fake News, Misinformation in COVID-19 Pandemic
AU - Bojjireddy, Sirisha
AU - Chun, Soon Ae
AU - Geller, James
N1 - Publisher Copyright:
© 2021 Owner/Author.
PY - 2021/6/9
Y1 - 2021/6/9
N2 - 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.
AB - 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.
KW - Covid-19 misinformation
KW - Fake news
KW - machine learning
KW - misinformation
UR - http://www.scopus.com/inward/record.url?scp=85108141589&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85108141589&partnerID=8YFLogxK
U2 - 10.1145/3463677.3463762
DO - 10.1145/3463677.3463762
M3 - Conference contribution
AN - SCOPUS:85108141589
T3 - ACM International Conference Proceeding Series
SP - 575
EP - 578
BT - Proceedings of the 22nd Annual International Conference on Digital Government Research
A2 - Lee, Jooho
A2 - Pereira, Gabriela Viale
A2 - Hwang, Sungsoo
PB - Association for Computing Machinery
T2 - 22nd Annual International Conference on Digital Government Research: Digital Innovations for Public Values: Inclusive Collaboration and Community, DGO 2021
Y2 - 9 June 2021 through 11 June 2021
ER -