Fighting misinformation on social media using crowdsourced judgments of news source quality
Volume: 116, Issue: 7, Pages: 2521 - 2526
Published: Jan 28, 2019
Abstract
Significance Many people consume news via social media. It is therefore desirable to reduce social media users’ exposure to low-quality news content. One possible intervention is for social media ranking algorithms to show relatively less content from sources that users deem to be untrustworthy. But are laypeople’s judgments reliable indicators of quality, or are they corrupted by either partisan bias or lack of information? Perhaps...
Paper Details
Title
Fighting misinformation on social media using crowdsourced judgments of news source quality
Published Date
Jan 28, 2019
Volume
116
Issue
7
Pages
2521 - 2526
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