Social Bots as Agenda-Builders: Evaluating the Impact of Algorithmic Amplification on Organizational Messaging

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Authors: Phillip Arceneaux, Josh T. L. Anderson, Josephine Lukito, Mansi Shah, Spiro Kiousis
Cited by: 7
References: 79

Abstract

This study quantifies the agenda-building impact of social bots via algorithmic amplification. Through an automated content analysis, the data suggest that social bots significantly transferred object, attribute, and network salience to campaign communications during Ohio’s 2022 midterm election, and to a lesser degree, to press and public discourse. Social bots were the strongest influencer of attribute saliency, driving primarily negative sentiment. They were also mild influencers of object salience, leading five issue categories. This contributes to public relations by addressing how agenda-building theory evolves under artificial amplification, empirically illustrating how machines interfere with organizational news and strategic issues management efforts.

Fields of Study & Subjects

Spam and Phishing Detection Misinformation and Its Impacts AI in Service Interactions

Publication details

Journal / source
Journal of Public Relations Research
Publisher
Informa UK Limited
Volume
38
Issue
3
Pages
123–156
Publication date
4 January 2026
Language
EN