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Perceiving personality through the grapevine: A network approach to reputations
Cory K Costello1, Sanjay Srivastava1
1Department of Psychology.
Hearsay reputations, or reputations formed through gossip, are as positive as direct ones but can become inaccurate. They significantly influence perceptions of leadership and friendship potential.
Area of Science:
- Social Psychology
- Network Science
- Interpersonal Perception
Background:
- Reputations are crucial for social interactions, enabling information sharing about individuals. They can be formed through direct experience or hearsay.
- Existing research often focuses on direct perceptions, with less understanding of how reputations form and function within social networks via indirect information.
Purpose of the Study:
- To investigate the consensus, accuracy, positivity bias, and consequences of personality trait information transmitted through hearsay.
- To integrate network science with interpersonal perception to study reputation formation.
- To examine factors influencing hearsay-based reputations, including perceiver characteristics and communication context.
Main Methods:
- Two preregistered studies with 260 and 369 participants created laboratory micronetworks for naturalistic interaction.
- Participants described each other to naive third parties, creating hearsay-based reputations.
- The extended Social Accuracy Model and a domain-wise correlational approach were utilized.
Main Results:
- Hearsay reputations exhibited similar positivity bias to direct reputations.
- Strong consensus was found between hearsay and direct reputations, but accuracy was modest, indicating potential consolidation around inaccuracies.
- Perceivers' extraversion correlated with more biased hearsay reputations; communication context had no significant impact.
Conclusions:
- Hearsay reputations are consequential, influencing judgments of leadership and friendship suitability.
- The findings highlight the importance of studying reputations within network structures.
- Open materials and software are provided to encourage further research on reputations-as-networks.
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