Election Interference and Online Propaganda Campaigns: Dynamic Interdependencies on Facebook, Google Trends, and the New York Times-Reference-Cited by-同舟云学术

Election Interference and Online Propaganda Campaigns: Dynamic Interdependencies on Facebook, Google Trends, and the New York Times

Published:2024-09-09 Issue: Volume: Page:
ISSN:2158-656X
Container-title:ACM Transactions on Management Information Systems
language:en
Short-container-title:ACM Trans. Manage. Inf. Syst.

Author:

Esmaeili Moe¹^ORCID,Farokhnia Hamedani Moez²^ORCID,Zantedeschi Daniel¹^ORCID,Khalesi Calvin Sorush³^ORCID

Affiliation:

1. School of Information Systems and Management, University of South Florida, Tampa, United States

2. Department of Information Systems and Supply Chain Management, The University of North Carolina at Greensboro, Greensboro, United States

3. College of Arts and Sciences, University of Montreal, Montreal, Canada

Abstract

The relationship between propaganda campaigns, news outlets, and search patterns is of significant interest to political authorities and academic scholars from various disciplines. We explore these dynamic relationships using 3,500 Facebook propaganda advertisements, 167,000 New York Times stories, and hundreds of Google Trends searches for terms from the advertisements and articles in the two years preceding the 2016 US presidential election. The data indicate that propaganda campaigns utilize random content infrequently and instead follow specific Google search patterns. Depending on the subject matter, Facebook advertisements can anticipate the New York Times. In the contexts of immigration, racism, and the LGBT community, such patterns of content adaptation are more prominent. We use the results to provide policy and research recommendations.

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/3690828

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