Greed communication predicts the approval and reach of US senators’ tweets

Author:

Mercadante Eric J.1ORCID,Tracy Jessica L.1,Götz Friedrich M.1

Affiliation:

1. Department of Psychology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada

Abstract

Social media are at the forefront of modern political campaigning. They allow politicians to communicate directly with constituents and constituents to endorse politicians’ messages and share them with their networks. Analyzing every tweet of all US senators holding office from 2013 to 2021 (861,104 tweets from 140 senators), we identify a psycholinguistic factor, greed communication, that robustly predicts increased approval (favorites) and reach (retweets). These effects persist when tested against diverse established psycholinguistic predictors of political content dissemination on social media and various other psycholinguistic variables. We further find that greed communication in the tweets of Democratic senators is associated with greater approval and retweeting compared to greed communication in the tweets of Republican senators, especially when those tweets also mention political outgroups.

Funder

Gouvernement du Canada | Social Sciences and Humanities Research Council of Canada

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

Reference17 articles.

1. Cognitive–motivational mechanisms of political polarization in social-communicative contexts

2. Ballotpedia Election results 2022: Congressional margin of victory analysis (n.d.). https://ballotpedia.org/Election_results _2022:_Congressional_margin_of_victory_analysis. Accessed 18 January 2023.

3. Out-group animosity drives engagement on social media

4. Emotion shapes the diffusion of moralized content in social networks

5. Negativity Spreads More than Positivity on Twitter After Both Positive and Negative Political Situations

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