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Inauthentic Newsfeeds and Agenda Setting in a Coordinated Inauthentic Information Operation.

Authors :
Ehrett, Carl
Linvill, Darren L.
Smith, Hudson
Warren, Patrick L.
Bellamy, Leya
Moawad, Marianna
Moran, Olivia
Moody, Monica
Source :
Social Science Computer Review; Dec2022, Vol. 40 Issue 6, p1595-1613, 19p
Publication Year :
2022

Abstract

The 2015–2017 Russian Internet Research Agency (IRA)'s coordinated information operation is one of the earliest and most studied of the social media age. A set of 38 city-specific inauthentic "newsfeeds" made up a large, underanalyzed part of its English-language output. We label 1,000 tweets from the IRA newsfeeds and a matched set of real news sources from those same cities with up to five labels indicating the tweet represents a world in unrest and, if so, of what sort. We train a natural language classifier to extend these labels to 268 k IRA tweets and 1.13 million control tweets. Compared to the controls, tweets from the IRA were 34% more likely to represent unrest, especially crime and identity danger, and this difference jumped to about twice as likely in the months immediately before the election. Agenda setting by media is well-known and well-studied, but this weaponization by a coordinated information operation is novel. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08944393
Volume :
40
Issue :
6
Database :
Complementary Index
Journal :
Social Science Computer Review
Publication Type :
Academic Journal
Accession number :
160110544
Full Text :
https://doi.org/10.1177/08944393211019951