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

共 50 条

[1] Galean: Visualization of Geolocated News Events from Social Media
Pena-Araya, Vanessa
Quezada, Mauricio
Poblete, Barbara
SIGIR 2015: PROCEEDINGS OF THE 38TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2015, : 1041 - 1042
[2] Planned Protest Modeling in News and Social Media
Muthiah, Sathappan
Huang, Bert
Arredondo, Jaime
Mares, David
Getoor, Lise
Katz, Graham
Ramakrishnan, Naren
PROCEEDINGS OF THE TWENTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2015, : 3920 - 3927
[3] Social media, legacy media and gatekeeping: the protest paradigm in news of Ferguson and Charlottesville
Ismail, Amani
Torosyan, Gayane
Tully, Melissa
COMMUNICATION REVIEW, 2019, 22 (03): : 169 - 195
[4] Geolocated Visual Summarization of Social Media Data
Sanhalp, Elif
Bulbul, M. Abdullah
2020 28TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2020,
[5] Protest News and Facebook Engagement: How the Hierarchy of Social Struggle Is Rebuilt on Social Media
Harlow, Summer
Kilgo, Danielle K.
JOURNALISM & MASS COMMUNICATION QUARTERLY, 2021, 98 (03) : 665 - 691
[6] Hybrid social and news media protest events: from #MarchinMarch to #BusttheBudget in Australia
Bailo, Francesco
Vromen, Ariadne
INFORMATION COMMUNICATION & SOCIETY, 2017, 20 (11) : 1660 - 1679
[7] On spatial variation in the detectability and density of social media user protest supporters
Masias, Victor Hugo
Crespo R, Fernando A.
Navarro R, Pilar
Masood, Razan
Kraemer, Nicole C.
Hoppe, H. Ulrich
TELEMATICS AND INFORMATICS, 2021, 65
[8] On spatial variation in the detectability and density of social media user protest supporters
Masías, Víctor Hugo
Crespo R, Fernando A.
Navarro R, Pilar
Masood, Razan
Krämer, Nicole C.
Hoppe, H. Ulrich
Telematics and Informatics, 2021, 65
[9] SOCIAL PROTEST: FROM THE NEWS TO THE AUDIENCES
Cantu, Ariadna
Berti, Silvina
PERSPECTIVAS DE LA COMUNICACION, 2010, 3 (02): : 64 - 83
[10] Achieving situational awareness of drug cartels with geolocated social media
Xiaoyi Yuan
Ron Mahabir
Andrew Crooks
Arie Croitoru
GeoJournal, 2022, 87 : 3453 - 3471

← 1 2 3 4 5 →