How Confidence in Prior Attitudes, Social Tag Popularity, and Source Credibility Shape Confirmation Bias Toward Antidepressants and Psychotherapy in a Representative German Sample: Randomized Controlled Web-Based Study
| Autor: | Schweiger, Stefan, Cress, Ulrike |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Adult
Male Psychotherapist Adolescent 020205 medical informatics media_common.quotation_subject Population Health Informatics Context (language use) Sample (statistics) Health literacy 02 engineering and technology information dissemination information systems Young Adult Bias Germany 0202 electrical engineering electronic engineering information engineering Information system Humans education media_common Original Paper Internet education.field_of_study Depression Source credibility Middle Aged Popularity Antidepressive Agents culture Psychotherapy Attitude professional competence Research Design Confirmation bias consumer health information Female Psychology health literacy |
| Zdroj: | Journal of Medical Internet Research |
| ISSN: | 1438-8871 |
| Popis: | Background: In health-related, Web-based information search, people should select information in line with expert (vs nonexpert) information, independent of their prior attitudes and consequent confirmation bias. Objective: This study aimed to investigate confirmation bias in mental health–related information search, particularly (1) if high confidence worsens confirmation bias, (2) if social tags eliminate the influence of prior attitudes, and (3) if people successfully distinguish high and low source credibility. Methods: In total, 520 participants of a representative sample of the German Web-based population were recruited via a panel company. Among them, 48.1% (250/520) participants completed the fully automated study. Participants provided prior attitudes about antidepressants and psychotherapy. We manipulated (1) confidence in prior attitudes when participants searched for blog posts about the treatment of depression, (2) tag popularity —either psychotherapy or antidepressant tags were more popular, and (3) source credibility with banners indicating high or low expertise of the tagging community. We measured tag and blog post selection, and treatment efficacy ratings after navigation. Results: Tag popularity predicted the proportion of selected antidepressant tags (beta=.44, SE 0.11; P |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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