| Literature DB >> 34220626 |
Yuren Qin1, Hichang Cho1, Pengxiang Li2, Lianshan Zhang1.
Abstract
This study aims to understand how the valence of self-disclosure (operationalized as the dominantly positive vs. balanced vs. dominantly negative social media posts of a future collaborator) influences first impression formation on social media. We also focus on trustworthiness as a mediator and perceived homophily as a moderator to specify the underlying mechanisms through which self-disclosure valence affects first impression formation. The results from an online experiment (N = 204) suggest that self-disclosure valence has a significant effect on perceived trustworthiness and likability when individuals evaluate an unknown future collaborator using the social media profile. Trustworthiness mediates the effect of self-disclosure valence on likability when the individuals feel that they are dissimilar or even slightly similar to strangers. At that time, individuals tend to seek cues from both self-disclosure valence and perceived homophily to form the trustworthiness perception, and the influence of self-disclosure depends on the level of perceived homophily.Entities:
Keywords: first impression; likability; online self-disclosure valence; perceived homophily; trustworthiness
Year: 2021 PMID: 34220626 PMCID: PMC8249806 DOI: 10.3389/fpsyg.2021.656365
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1Conceptual model.
Figure 2Mean differences between self-disclosure valances in likability.
Moderated mediation effect of trustworthiness on likability.
| Neutral | 0.22 | 0.42 | 0.54 | −0.60 to 1.05 | |
| Positive | 1.37 | 0.38 | 3.63 | 0.63 to 2.12 | |
| Homophily | 0.31 | 0.12 | 2.61 | 0.08 to 0.55 | |
| Neutral | −0.00 | 0.15 | −0.01 | −0.30 to 0.30 | |
| Positive | −0.30 | 0.15 | −2.01 | −0.59 to −0.01 | |
| Familiarity of WeChat | −0.15 | 0.12 | −1.25 | −0.38 to 0.08 | |
| WeChat use intensity | −0.09 | 0.07 | −1.19 | −0.24 to 0.06 | |
| Neutral | 0.68 | 0.22 | 3.07 | 0.24 to 1.11 | |
| Positive | 1.50 | 0.19 | 7.92 | 1.13 to 1.88 | |
| Trustworthiness | 0.57 | 0.07 | 8.70 | 0.44 to 0.70 | |
| Familiarity of Wechat | −0.26 | 0.11 | −2.37 | −0.48 to −0.04 | |
| WeChat use intensity | 0.08 | 0.07 | 1.16 | −0.06 to 0.22 | |
| Neutral | −0.00 | 0.15 | −0.34 to 0.25 | ||
| Neutral | 0.13 | 0.17 | −0.20 to 0.48 | ||
| Neutral | 0.13 | 0.18 | −0.26 to 0.42 | ||
| Neutal | 0.12 | 0.38 | −0.73 to 0.73 | ||
| Positive | −0.17 | 0.16 | −0.53 to 0.08 | ||
| Positive | 0.61 | 0.18 | 0.30 to 1.00 | ||
| Positive | 0.37 | 0.17 | 0.02 to 0.67 | ||
| Positive | 0.10 | 0.38 | −0.73 to 0.70 | ||
p <0.05,
p <0.01,
p <0.001; Reference group is the negative condition, so the independent variables compare positive and neutral conditions with the negative condition; Regarding indirect effects, if zero is not included in the 95% confidence limits, the indirect effect test is significant; otherwise, it is non-significant.
Figure 3Patterns of interaction effects of valence and homophily on trustworthiness. This figure shows the estimated marginal means of trustworthniness at +1, 0, and 1 SD of perceived homophily.