Depression Clinical Trial
Official title:
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
The study examines whether people primarily want to confirm their prior attitudes in health-related information search, in an online environment using social tags for navigation. Participants were looking for information on the treatment of depression with antidepressants and psychotherapy. They were randomly assigned to two groups with either high or low credibility of the community who provides social tags, and two groups where participants' confidence in prior attitudes was heightened or lowered, and to two groups where either antidepressant tags were more popular or psychotherapy was more popular. The investigators measured attitude change toward the treatments and also navigation behavior.
In health-related, Web-based information searches, people should select information in line
with expert (vs nonexpert) information, independent of their prior attitudes and consequent
confirmation bias.
This study aimed to investigate confirmation bias in mental health-related information
searches, 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.
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. The investigators 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. The investigators
measured tag and blog post selection, and treatment efficacy ratings after navigation.
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