Literature DB >> 25964358

A decline in prosocial language helps explain public disapproval of the US Congress.

Jeremy A Frimer1, Karl Aquino2, Jochen E Gebauer3, Luke Lei Zhu4, Harrison Oakes5.   

Abstract

Talking about helping others makes a person seem warm and leads to social approval. This work examines the real world consequences of this basic, social-cognitive phenomenon by examining whether record-low levels of public approval of the US Congress may, in part, be a product of declining use of prosocial language during Congressional debates. A text analysis of all 124 million words spoken in the House of Representatives between 1996 and 2014 found that declining levels of prosocial language strongly predicted public disapproval of Congress 6 mo later. Warm, prosocial language still predicted public approval when removing the effects of societal and global factors (e.g., the September 11 attacks) and Congressional efficacy (e.g., passing bills), suggesting that prosocial language has an independent, direct effect on social approval.

Entities:  

Keywords:  LIWC; US Congress; impression formation; language; public approval

Mesh:

Year:  2015        PMID: 25964358      PMCID: PMC4450383          DOI: 10.1073/pnas.1500355112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  8 in total

1.  The emotional dog and its rational tail: a social intuitionist approach to moral judgment.

Authors:  J Haidt
Journal:  Psychol Rev       Date:  2001-10       Impact factor: 8.934

2.  Lying words: predicting deception from linguistic styles.

Authors:  Matthew L Newman; James W Pennebaker; Diane S Berry; Jane M Richards
Journal:  Pers Soc Psychol Bull       Date:  2003-05

Review 3.  Universal dimensions of social cognition: warmth and competence.

Authors:  Susan T Fiske; Amy J C Cuddy; Peter Glick
Journal:  Trends Cogn Sci       Date:  2006-12-22       Impact factor: 20.229

4.  Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models.

Authors:  Kristopher J Preacher; Andrew F Hayes
Journal:  Behav Res Methods       Date:  2008-08

5.  The evolution and psychology of self-deception.

Authors:  William von Hippel; Robert Trivers
Journal:  Behav Brain Sci       Date:  2011-02       Impact factor: 12.579

6.  Linguistic markers of psychological change surrounding September 11, 2001.

Authors:  Michael A Cohn; Matthias R Mehl; James W Pennebaker
Journal:  Psychol Sci       Date:  2004-10

7.  Moral actor, selfish agent.

Authors:  Jeremy A Frimer; Nicola K Schaefer; Harrison Oakes
Journal:  J Pers Soc Psychol       Date:  2014-05

8.  Experimental evidence of massive-scale emotional contagion through social networks.

Authors:  Adam D I Kramer; Jamie E Guillory; Jeffrey T Hancock
Journal:  Proc Natl Acad Sci U S A       Date:  2014-06-02       Impact factor: 11.205

  8 in total
  5 in total

1.  Neurocognitive functions of prosocial and unsocial incongruency information during language comprehension: evidence from time-frequency analysis of EEG signals.

Authors:  Shashikanta Tarai; Quais Ain Qurratul; Vinod Ratre; Arindam Bit
Journal:  Med Biol Eng Comput       Date:  2022-02-24       Impact factor: 2.602

2.  Black and Latinx conservatives upshift competence relative to liberals in mostly white settings.

Authors:  Cydney H Dupree
Journal:  Nat Hum Behav       Date:  2021-07-22

3.  Open science, communal culture, and women's participation in the movement to improve science.

Authors:  Mary C Murphy; Amanda F Mejia; Jorge Mejia; Xiaoran Yan; Sapna Cheryan; Nilanjana Dasgupta; Mesmin Destin; Stephanie A Fryberg; Julie A Garcia; Elizabeth L Haines; Judith M Harackiewicz; Alison Ledgerwood; Corinne A Moss-Racusin; Lora E Park; Sylvia P Perry; Kate A Ratliff; Aneeta Rattan; Diana T Sanchez; Krishna Savani; Denise Sekaquaptewa; Jessi L Smith; Valerie Jones Taylor; Dustin B Thoman; Daryl A Wout; Patricia L Mabry; Susanne Ressl; Amanda B Diekman; Franco Pestilli
Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-14       Impact factor: 11.205

4.  Impressive Words: Linguistic Predictors of Public Approval of the U.S. Congress.

Authors:  Ari Decter-Frain; Jeremy A Frimer
Journal:  Front Psychol       Date:  2016-02-23

5.  Population Size Predicts Lexical Diversity, but so Does the Mean Sea Level --Why It Is Important to Correctly Account for the Structure of Temporal Data.

Authors:  Alexander Koplenig; Carolin Müller-Spitzer
Journal:  PLoS One       Date:  2016-03-03       Impact factor: 3.240

  5 in total

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