Influencing recommendation algorithms to reduce the spread of unreliable news by encouraging humans to fact-check articles, in a field experiment
Abstract Society often relies on social algorithms that adapt to human behavior. Yet scientists struggle to generalize the combined behavior of mutually-adapting humans and algorithms. This scientific challenge is a governance problem when algorithms amplify human responses to falsehoods. Could atte...
Main Author: | J. Nathan Matias |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-07-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-38277-5 |
Similar Items
-
You've been fact-checked! Examining the effectiveness of social media fact-checking against the spread of misinformation
by: Ben Wasike
Published: (2023-09-01) -
Birds of a Feather Don't Fact-check Each Other: Partisanship and the Evaluation of News in Twitter's Birdwatch Crowdsourced Fact-checking Program
by: Allen, Jennifer, et al.
Published: (2022) -
News-boy problem with unreliable suppliers
by: Yao, Yuetong
Published: (2020) -
Fact-Checking Algorithm in Regional Network Media
by: Vladlena Y. Komleva, et al.
Published: (2022-12-01) -
Fact-checking platform: the fakes news denied by Newtral in the coronavirus crisis in Spain
by: Yaiza Pozo-Montes, et al.
Published: (2020-07-01)