Social media advertising: How online motivations and congruency influence perceptions of trust
Abstract
Drawing from uses and gratifications theory, the current research demonstrates that users' trust in social media advertising is differentially influenced by the users' online motivation. We focus on three specific motivation types that previous research has shown are particularly relevant to internet use: (1) information motivation, using the internet to learn about current events and to do research; (2) social-interaction motivation, using the internet to socialize with friends, family, and other individuals; and (3) entertainment motivation, using the internet to pass time and engage in enjoyable activities. Using one survey and two experiments, we show that when users have an informational motivation, trust in social media advertising is lower than when they have an entertainment or social motivation. Congruency between the content of the social media advertisement and the online motivation can mitigate the negative effect on trust associated with an informational motive, while incongruency increases involvement and privacy concerns along with distrust. These findings provide helpful guidance to managers as they implement social media advertising campaigns.
Study specs
- Authors
- JR Carlson,S Hanson,J Pancras
- Discipline
- Marketing
- Year
- 2022
- Human Data Platform
- Prolific
- Source
- View Source DOI Google Scholar
Peer Review & Critical Discussion
Potential Selection Bias in 2023 Cohort
The participant pool shows a concerning overrepresentation of users from high-income demographics. Looking at Table 3, we can see that 78% of respondents had annual incomes above $75k, which significantly limits the generalizability of these findings to broader populations.
Non-naive Participants Issue
I've noticed a methodological concern regarding participant naivety. Given that Prolific users often complete multiple studies, there's a real risk that participants had prior exposure to similar experimental paradigms, which could confound the results.
RLHF Applicability to This Study Design
The implications for RLHF training pipelines are understated. If we accept the authors' conclusions about preference stability, this has direct consequences for how we should structure reward model training. The temporal decay effect described in Section 4.2 is particularly relevant.
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