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Overlap in Facebook Profiles Reflects Relationship Closeness
Araceli M Castañeda1, Markie L Wendel, Erin E Crockett
1a Southwestern University.
The Journal of Social Psychology
|January 31, 2015
Summary
Self-reported Inclusion of Other in the Self (IOS) and Facebook profile overlap are linked. Facebook overlap also reflects relationship commitment and investment, suggesting its utility in measuring closeness.
Area of Science:
- Social Psychology
- Human-Computer Interaction
- Relationship Science
Background:
- Understanding relationship closeness is crucial in social psychology.
- The Inclusion of Other in the Self (IOS) scale is a common measure of relationship closeness.
- Digital platforms like Facebook offer new avenues for studying social interactions and relationship dynamics.
Purpose of the Study:
- To investigate the association between self-reported Inclusion of Other in the Self (IOS) and quantifiable Facebook profile overlap.
- To determine if Facebook overlap can serve as a valid indicator of relationship closeness, comparable to traditional self-report measures.
Main Methods:
- Ninety-two participants completed online questionnaires assessing IOS and investment model constructs.
- Researchers collected Facebook data from participants' public profile pages to measure profile overlap.
- Multilevel modeling was employed to analyze the relationship between IOS, Facebook overlap, and relationship investment.
Main Results:
- Self-reported IOS significantly predicted the degree of Facebook profile overlap between participants.
- Facebook overlap was found to be associated with relationship commitment and investment.
- The predictive power of Facebook overlap on commitment and investment was comparable to that of self-reported IOS.
Conclusions:
- Overlap in social media profiles, specifically Facebook, can serve as an objective measure of relationship closeness.
- Digital footprints on social media platforms provide valuable insights into interpersonal relationship dynamics.
- Future research can leverage social media data to complement or validate traditional measures of relationship closeness.
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