How to improve attitudes toward disliked groups : the effects of narrative versus numerical evidence on political persuasion
We propose a model of how messages about groups one personally dislikes affect individual attitudes. We build upon theories of message persuasion and out-group acceptance to account for evidence type (numerical vs. narrative), facilitating conditions (encouraging empathy vs. objectivity), and the un...
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| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/146328 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | We propose a model of how messages about groups one personally dislikes affect individual attitudes. We build upon theories of message persuasion and out-group acceptance to account for evidence type (numerical vs. narrative), facilitating conditions (encouraging empathy vs. objectivity), and the underlying mechanisms (immersion). We test this model in a pretest-posttest experiment, in which a sample of Americans (N = 601) read counter-attitudinal commentaries below articles presenting either narrative or numerical evidence about illegal immigrants or same-sex couples. Narratives led to greater message acceptance and greater immersion, especially in the empathetic condition. In turn, numerical messages led to self-perceived attitude change in the objective condition. Persuasive effects of narratives in the empathetic, but not the objective, condition were mediated by immersion. |
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