Using infographics to reduce the negative effects of jargon on intentions to vaccinate against Covid-19
Bibliographic Data
| ID | 20403157 |
|---|---|
| Authors | Elizabeth E Riggs (0000-0001-6683-7952, Ohio State University, USA), H C Shulman (0000-0001-7525-8119, Ohio State University, USA, corresponding author), Rachel López (0000-0001-8171-8556, Ohio State University, USA) |
| Year | 2022 |
| Volume | 31 |
| Issue | 6 |
| Pages | 751-765 |
| Publication date | 2022-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Public Understanding of Science (JOURNAL) |
| Journal identifiers | ISSN: 0963-6625 • E-ISSN: 1361-6609 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/09636625221077385 |
| PMID | 35266427 |
| OpenAlex | W4221120291 |
| Language | EN |
| Citations received | 9 |
| References cited | 41 |
Guided by feelings-as-information theory, this experiment ( N = 643), based in the United States, tested whether the use of jargon and infographics within messages designed to explain the COVID-19 mRNA vaccines affected behavioral intentions to vaccinate. The results revealed that the presence of jargon was associated with a difficult processing experience, message resistance, decreased perceptions of message credibility, and reduced intentions to get the COVID-19 vaccine. That said, when an infographic was integrated into the jargon message, these negative relationships went away and the presence of jargon no longer indirectly impacted intention to vaccinate. This experiment demonstrates that in contexts where jargon use exists, the use of an infographic can counteract some of the negative effects of a difficult processing experience
Credibility · Feeling · Infographic · Jargon · Linguistics · Political science · Computer Science · Media Influence and Health · Medicine · Misinformation and Its Impacts · Psychology · Psychology of Moral and Emotional Judgment · Social Psychology
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| Unique citing works | 9 |
|---|---|
| Citations per year | 3 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 9 |