Investigating Differences in Crowdsourced News Credibility Assessment
Author:
Affiliation:
1. Virginia Tech, Blacksburg, VA, USA
2. University of Washington, Seattle, WA, USA
3. Hacks/Hackers, Atlanta, GA, USA
Funder
National Science Foundation
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)
Link
https://dl.acm.org/doi/pdf/10.1145/3415164
Reference74 articles.
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3. Mahmoudreza Babaei Abhijnan Chakraborty Juhi Kulshrestha Elissa M Redmiles Meeyoung Cha and Krishna P Gummadi. 2019. Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking.. In FAT. 139. Mahmoudreza Babaei Abhijnan Chakraborty Juhi Kulshrestha Elissa M Redmiles Meeyoung Cha and Krishna P Gummadi. 2019. Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking.. In FAT. 139.
4. Mevan Babakar. 2018. Crowdsourced Factchecking. Mevan Babakar. 2018. Crowdsourced Factchecking.
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