Testing “racial fetish” in health prevention messages
Chinese evaluation of ethnicity-(in)congruent messages as a function of out-group favoritism
Bibliographic Data
| ID | 12910274 |
|---|---|
| Authors | Yadong Ji (0000-0001-8182-9192, Ohio University), Benjamin R Bates (0000-0001-5948-1396, Ohio University, corresponding author) |
| Year | 2019 |
| Volume | 14 |
| Issue | 1 |
| Pages | 21-40 |
| Publication date | 2019-08-08 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of International and Intercultural Communication (JOURNAL) |
| Journal identifiers | ISSN: 1751-3065 • E-ISSN: 1751-3057 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/17513057.2019.1650951 |
| OpenAlex | W2968015120 |
| Language | EN |
| Citations received | 7 |
| References cited | 47 |
Previous research argues that readers should prefer messages featuring their own ethnicity. However, in China, messages featuring white people are common. We investigate Chinese participants evaluation of ethnicity-(in)congruent messages to understand why communication practices diverge from theoretical expectations. Two normative health prevention messages, tested in a quasi-experimental design, were constructed to be ethnically (in)congruent. The results contradict the popular Chinese practice of ethnicity-incongruent messages; Chinese participants generally prefer ethnicity-congruent messages. However, participants reporting higher out-group favoritism, ethnicity-incongruent messages were evaluated more positively. We discuss in/out-group identification in evaluation of ethnicity-featuring messages and conclude with implications for communication practices in China
Advertising · Business · Ethnic group · Function (biology · Group (periodic table · Sociology · Media Influence and Health · Media, Gender, and Advertising · Psychology · Social and Intergroup Psychology · Social Psychology · Genetics
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| Unique citing works | 7 |
|---|---|
| Citations per year | 1,17 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |