假新闻
多学科方法
政治学
互联网隐私
数据科学
计算机科学
心理学
法学
作者
David Lazer,Matthew Baum,Yochai Roberts Benkler,Adam J. Berinsky,Kelly M. Greenhill,Filippo Menczer,Miriam J. Metzger,Brendan Nyhan,Gordon Pennycook,David Rothschild,Michael Schudson,Steven A. Sloman,Cass R. Sunstein,Emily Thorson,Duncan J. Watts,Jonathan Zittrain
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2018-03-08
卷期号:359 (6380): 1094-1096
被引量:3219
标识
DOI:10.1126/science.aao2998
摘要
Fake news emerged as an apparent global problem during the 2016 U.S. Presidential election. Addressing it requires a multidisciplinary effort to define the nature and extent of the problem, detect fake news in real time, and mitigate its potentially harmful effects. This will require a better understanding of how the Internet spreads content, how people process news, and how the two interact. We review the state of knowledge in these areas and discuss two broad potential mitigation strategies: better enabling individuals to identify fake news, and intervention within the platforms to reduce the attention given to fake news. The cooperation of Internet platforms (especially Facebook, Google, and Twitter) with researchers will be critical to understanding the scale of the issue and the effectiveness of possible interventions.
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