The effects of user comment valence of Facebook health messages on intention to receive the flu vaccine
The role of pre-existing attitude towards the flu vaccine and psychological reactance
Bibliographic Data
| ID | 21498147 |
|---|---|
| Authors | Hanyoung Kim (0000-0001-5721-4104, University of Georgia, corresponding author), Youngji Seo (0009-0000-5020-4341, University of Georgia), Hye Jin Yoon (0000-0002-8937-0600, University of Georgia), Jeong Yeob Han (University of Georgia), Youngjee Ko (0009-0000-0809-6068, University of Georgia) |
| Year | 2021 |
| Volume | 40 |
| Issue | 7 |
| Pages | 1187-1208 |
| Publication date | 2021-10-03 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | International Journal of Advertising (JOURNAL) |
| Journal identifiers | ISSN: 0265-0487 • E-ISSN: 1759-3948 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/02650487.2020.1863065 |
| OpenAlex | W3118296921 |
| Language | EN |
| Citations received | 12 |
| References cited | 65 |
This study examined if and how Facebook user-generated comments about the flu vaccine influenced psychological reactance in conjunction with pre-existing flu vaccine attitude. Psychological reactance was further tested as a mediating factor influencing behavioural intention to receive the vaccine. An experimental study was conducted with 264 college students. The results showed that pre-existing attitude positively influenced participants’ intention to obtain the flu vaccine through an increase (a decrease) in psychological reactance when there was inconsistency (consistency) between the pre-existing attitude and valence of comments. Collectively, the results demonstrate that psychological reactance is one possible theoretical mechanism through which social media users’ health behaviours are influenced by user-generated comments
Advertising · Business · Reactance · Hate Speech and Cyberbullying Detection · Misinformation and Its Impacts · Psychology · Social Psychology · Vaccine Coverage and Hesitancy
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| Unique citing works | 12 |
|---|---|
| Citations per year | 3 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 12 |