Ethical and safety considerations in automated fake news detection-Reference-Cited by-同舟云学术

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Ethical and safety considerations in automated fake news detection

Published:2023-12-04 Issue: Volume: Page:1-22
ISSN:0144-929X
Container-title:Behaviour & Information Technology
language:en
Short-container-title:Behaviour & Information Technology

Author:

Horne Benjamin D.¹²^ORCID,Nevo Dorit³,Smith Susan L.⁴

Affiliation:

1. School of Information Sciences, University of Tennessee, Knoxville, TN, USA

2. Data Science and Engineering, The Bredesen Center, University of Tennessee, Knoxville, TN, USA

3. Lally School of Management, Rensselaer Polytechnic Institute, Troy, NY, USA

4. Cognitive Science, Rensselaer Polytechnic Institute, Troy, NY, USA

Publisher

Informa UK Limited

Subject

Human-Computer Interaction,General Social Sciences,Arts and Humanities (miscellaneous),Developmental and Educational Psychology

Link

https://www.tandfonline.com/doi/pdf/10.1080/0144929X.2023.2285949

Reference118 articles.

1. Social Media and Fake News in the 2016 Election

2. Challenges of Explaining the Behavior of Black-Box AI Systems;Asatiani A.;MIS Quarterly Executive,2020

3. Combining Interventions to Reduce the Spread of Viral Misinformation;Bak-Coleman J. B.;Nature Human Behaviour,2022

4. Baly R. G. Karadzhov D. Alexandrov J. Glass and P. Nakov. 2018. Predicting Factuality of Reporting and Bias of News Media Sources. arXiv preprint arXiv:1810.01765 .

5. Baly R. G. Karadzhov A. Saleh J. Glass and P. Nakov. 2019. Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media. arXiv preprint arXiv:1904.00542 .

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