News and Geolocated Social Media Accurately Measure Protest Size Variation

被引：24

作者：

Sobolev, Anton ^{[1
]}

Chen, M. Keith ^{[2
]}

Joo, Jungseock ^{[3
]}

Steinert-Threlkeld, Zachary C. ^{[4
]}

机构：

[1] Yale Univ, Leitner Program Polit Econ, New Haven, CT 06520 USA

[2] Univ Calif Los Angeles, Anderson Sch Management, Los Angeles, CA 90024 USA

[3] Univ Calif Los Angeles, Dept Commun, Los Angeles, CA 90024 USA

[4] Univ Calif Los Angeles, Luskin Sch Publ Affairs, Los Angeles, CA 90024 USA

来源：

AMERICAN POLITICAL SCIENCE REVIEW | 2020年 / 114卷 / 04期

基金：

美国国家科学基金会;

关键词：

NEWSPAPER DATA; DEMONSTRATIONS; SELECTION; CONFLICT; COVERAGE; EVENTS; MARCH; POWER; BIAS;

D O I：

10.1017/S0003055420000295

中图分类号：

D0 [政治学、政治理论];

学科分类号：

0302 ; 030201 ;

摘要：

Larger protests are more likely to lead to policy changes than small ones are, but whether or not attendance estimates provided in news or generated from social media are biased is an open question. This letter closes the question: news and geolocated social media data generate accurate estimates of protest size variation. This claim is substantiated using cellphone location data from more than 10 million individuals during the 2017 United States Women's March protests. These cellphone estimates correlate strongly with those provided in news media as well as three size estimates generated using geolocated tweets, one text-based and two based on images. Inferences about protest attendance from these estimates match others' findings about the Women's March.

引用

页码：1343 / 1351

页数：9

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