Koning, Sem (2025) The use of the Communication Accommodation Theory to predict affective polarisation in digital one-on-one conversations. Bachelor thesis, Psychology.
|
Text
BAThesis-Sem-Koning.pdf Restricted to Repository staff only Download (4MB) |
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
In our increasingly polarised and online world, it is important to understand the process through which this polarisation takes place, as it has numerous negative effects on society. This research attempted to use the Communication Accommodation Theory to predict affective polarisation. Our sample was an all-American sample (N = 423) recruited through Prolific. They engaged in a ten-minute chat conversation where they discussed immigration. We predicted that people's communication styles would diverge more when they disagreed with each other than when they agreed with each other. Furthermore, we predicted an increase in affective polarisation when there was an increase in divergence. Neither of these hypotheses were supported, but we did find some evidence that similarity in communication styles affects constructs such as perceived defensiveness and shared cognition that could, in time, decrease affective polarisation.
| Item Type: | Thesis (Bachelor) |
|---|---|
| Supervisor name: | Koudenburg, N. |
| Degree programme: | Psychology |
| Differentiation route/Track: | None [Bachelor Psychology] |
| Date Deposited: | 08 Jul 2025 12:01 |
| Last Modified: | 08 Jul 2025 12:01 |
| URI: | http://gmwpublic.studenttheses.ub.rug.nl/id/eprint/5364 |
Actions (login required)
![]() |
View Item |
