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

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.

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Publication Details

Journal
ACM Transactions on Management Information Systems
Published
2024-09-09
DOI
https://doi.org/10.1145/3690828
Primary Topic
Social Media and Politics
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Moez Farokhnia Hamedani, Daniel Zantedeschi, Moe Esmaeili, Calvin Sorush Khalesi
ACM Transactions on Management Information Systems
Social Media and Politics
article

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

Moez Farokhnia Hamedani, Daniel Zantedeschi, Moe Esmaeili, Calvin Sorush Khalesi
article en

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.

ACM Transactions on Management Information SystemsVol. 15(4)
University of North Carolina at Greensboro (US), University of South Florida (US), Université de Montréal (CA)
Openalex Percentile: Top 80%
Social Media and Politics
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