Literature DB >> 31916812

Political psycholinguistics: A comprehensive analysis of the language habits of liberal and conservative social media users.

Joanna Sterling1, John T Jost2, Richard Bonneau3.   

Abstract

For nearly a century social scientists have sought to understand left-right ideological differences in values, motives, and thinking styles. Much progress has been made, but-as in other areas of research-this work has been criticized for relying on small and statistically unrepresentative samples and the use of reactive, self-report measures that lack ecological validity. In an effort to overcome these limitations, we employed automated text analytic methods to investigate the spontaneous, naturally occurring use of language in nearly 25,000 Twitter users. We derived 27 hypotheses from the literature on political psychology and tested them using 32 individual dictionaries. In 23 cases, we observed significant differences in the linguistic styles of liberals and conservatives. For instance, liberals used more language that conveyed benevolence, whereas conservatives used more language pertaining to threat, power, tradition, resistance to change, certainty, security, anger, anxiety, and negative emotion in general. In 17 cases, there were also significant effects of ideological extremity. For instance, moderates used more benevolent language, whereas extremists used more language pertaining to inhibition, tentativeness, affiliation, resistance to change, certainty, security, anger, anxiety, negative affect, swear words, and death-related language. These research methods, which are easily adaptable, open up new and unprecedented opportunities for conducting unobtrusive research in psycholinguistics and political psychology with large and diverse samples. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Entities:  

Year:  2020        PMID: 31916812     DOI: 10.1037/pspp0000275

Source DB:  PubMed          Journal:  J Pers Soc Psychol        ISSN: 0022-3514


  4 in total

1.  Tracking group identity through natural language within groups.

Authors:  Ashwini Ashokkumar; James W Pennebaker
Journal:  PNAS Nexus       Date:  2022-06-24

2.  Registered Report: Testing Ideological Asymmetries in Measurement Invariance.

Authors:  Mark J Brandt; Jia He; Michael Bender
Journal:  Assessment       Date:  2021-01-29

3.  Political coherence and certainty as drivers of interpersonal liking over and above similarity.

Authors:  Federico Zimmerman; Gerry Garbulsky; Dan Ariely; Mariano Sigman; Joaquin Navajas
Journal:  Sci Adv       Date:  2022-02-09       Impact factor: 14.136

4.  The Daily Rhythmic Changes of Undergraduate Students' Emotions: An Analysis Based on Tencent Tweets.

Authors:  Run-Xiang Liu; Huan Liu
Journal:  Front Psychol       Date:  2022-03-11
  4 in total

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