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What is the Effect of Personalized Information on Social Media Profiles of Conservatives on Affective Polarization Among Left-Leaning People

Gembris, Anna-Marlene (2024) What is the Effect of Personalized Information on Social Media Profiles of Conservatives on Affective Polarization Among Left-Leaning People. Bachelor thesis, Psychology.

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A thesis is an aptitude test for students. The approval of the thesis is proof that the student has sufficient research and reporting skills to graduate but does not guarantee the quality of the research and the results of the research as such, and the thesis is therefore not necessarily suitable to be used as an academic source to refer to. If you would like to know more about the research discussed in this thesis and any publications based on it, to which you could refer, please contact the supervisor mentioned.


Abstract

Abstract Previous research has shown that online intergroup interaction is an important factor for affective polarization and that information about outgroup members can play an influential role. Therefore, we investigated further the specific effect of individuating information on created social media profiles, hypothesizing their mitigating effect on trust (H1), warmth (H2), social distance (H3), and personality ratings (H4), all measures of affective polarization. In this paper, we investigated a left-leaning sample and its affective polarization towards conservatives. We sampled 238 left-leaning participants via convenience sampling across different platforms. The comparison by a two-sample t-test between a group receiving no information and a group receiving information about outgroup members did not lead to significant results. The exploratory analysis of contrasts showed a significant difference between stronger identification as left-leaning and higher scores on affective polarization. Limitations of this study are the merely non-mandatory collection of demographics and their non-analyzed influence. For further research we recommend investigation of individuating information in online interactions and affective polarization, considering participants’ characteristics such as demographics and their strengths of social identity in the analysis. Keywords: affective polarization, social identity, individuating information, social media

Item Type: Thesis (Bachelor)
Supervisor name: Baldina, L. and Gutzkow, B.
Degree programme: Psychology
Differentiation route: None [Bachelor Psychology]
Date Deposited: 10 Jul 2024 14:38
Last Modified: 10 Jul 2024 14:38
URI: http://gmwpublic.studenttheses.ub.rug.nl/id/eprint/3808

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