Understanding Effects of Algorithmic vs. Community Label on Perceived
Accuracy of Hyper-partisan Misinformation

v1v2 (latest)

Understanding Effects of Algorithmic vs. Community Label on Perceived Accuracy of Hyper-partisan Misinformation

1 March 2022

Alexander Boltz

Angie Zhang

Min Kyung Lee

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Papers citing "Understanding Effects of Algorithmic vs. Community Label on Perceived Accuracy of Hyper-partisan Misinformation"

6 / 6 papers shown

Title
Factors Influencing Perceived Fairness in Algorithmic Decision-Making: Algorithm Outcomes, Development Procedures, and Individual Differences Ruotong Wang F. M. Harper Haiyi Zhu FaML 51 186 0 27 Jan 2020
Combating Fake News: A Survey on Identification and Mitigation Techniques Karishma Sharma Feng Qian He Jiang Natali Ruchansky Ming Zhang Yan Liu 103 299 0 18 Jan 2019
Fake News Detection on Social Media: A Data Mining Perspective Kai Shu A. Sliva Suhang Wang Jiliang Tang Huan Liu GNN EgoV 87 2,781 0 07 Aug 2017
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection William Yang Wang HILM GNN 101 1,363 0 01 May 2017
This Just In: Fake News Packs a Lot in Title, Uses Simpler, Repetitive Content in Text Body, More Similar to Satire than Real News Benjamin D. Horne Sibel Adali GNN 55 587 0 28 Mar 2017
CSI: A Hybrid Deep Model for Fake News Detection Natali Ruchansky Sungyong Seo Yan Liu 66 929 0 20 Mar 2017

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