Understanding How Readers Determine the Legitimacy of Online News Articles in the Era of Fake NewsY

被引：3

作者：

Pidikiti, Srihaasa ^{[1
]}

Zhang, Jason Shuo ^{[1
]}

Han, Richard ^{[1
]}

Lehman, Tamara ^{[1
]}

Lv, Qin ^{[1
]}

Mishra, Shivakant ^{[1
]}

机构：

[1] Univ Colorado, Boulder, CO 80309 USA

来源：

2020 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM) | 2020年

关键词：

fake news; critical thinking; source; social media;

D O I：

10.1109/ASONAM49781.2020.9381451

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Internet users are routinely exposed to fake news in their social media feeds. The main goal of this paper is to identify the factors readers consider important in discriminating against fake news from true news when reading an online news article. We design and conduct three surveys using Amazon Mechanical Turk to identify the top factors and rate them under diverse scenarios. Our results suggest that people perceive news Source and Content to be the most important factors, in general, to distinguish fake news from true news, however, their importance reduces in practice when people actually read a news article. Furthermore, the importance of different factors in the credibility determination of a news article varies with people's political leanings. Our work is the first of its kind and offers new insights into how people determine the legitimacy of online news articles.

引用

页码：768 / 775

页数：8

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