Will Online Digital Footprints Reveal Your Relationship Status? An Empirical Study of Social ...
summary
Using a dataset of 2,359 users from SMM-oriented apps the study claims online footprints predict relationship status by extracting four footprint types—profile, social interactions, expression, and mobility—and testing correlations with t tests and multivariable regression. Findings include older users and more “top” roles being likelier in steady relationships, steady partners using warmer profile colors and receiving more feedback, non-steady users checking in more at evening gathering spots and having more blocked accounts. A classifier built on 20 features shows predictive power with logistic regression giving the best results.
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chapters (10)
- 0:00Introduction
- 0:28Challenges
- 0:58Social Networks
- 1:47Research Question
- 2:00Solution
- 3:17Extract
- 3:46Review
- 4:33Checking Time Distribution
- 5:02Variable Tests
- 5:41Implications
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