Social platforms combine images, text, behavior, and network structure. Visual presentation may matter, but the best-known Instagram and Twitter studies cited in this area did not measure facial attractiveness. Their results support narrower conclusions about the presence of faces, profile completeness, content, and interaction patterns.

What the Instagram Study Measured

Bakhshi, Shamma, and Gilbert (2014) analyzed a corpus of one million Instagram images. After controls for network reach and activity, photos containing a detected face were 38% more likely to receive likes and 32% more likely to receive comments than photos without detected faces. The number of faces, their estimated age, and gender did not show an effect in the reported models.

Crucially, the study did not collect attractiveness ratings. It supports a face-presence association, not the claim that more attractive faces generated more engagement.

What the Twitter Study Measured

Hutto, Yardi, and Gilbert (2013) followed 507 Twitter users and roughly half a million tweets over 15 months. Their longitudinal model examined message content, social behavior, profile completeness, and network structure—not attractiveness or facial features.

  • Profile elements such as description length, a URL, and location were among the modeled predictors of follower growth
  • Directed communication, posting behavior, message content, and network topology also contributed
  • The design remained observational, and the authors cautioned that results from Twitter might not transfer to other platforms

Profile Photos and Professional Social Media

A clear profile image can provide an identity cue, but the studies above do not establish a numeric LinkedIn view or connection multiplier. They also do not show that headshot attractiveness or lighting causes professional opportunities. Platform, role, network, activity, and content are intertwined, so unsupported percentage claims should not be presented as scientific findings.

The Influencer Economy

Djafarova and Rushworth (2017) conducted in-depth interviews with 18 female Instagram users aged 18–30. Participants described nontraditional online celebrities as relatable and credible, and discussed how Instagram endorsements influenced purchase behavior. This small qualitative study offers evidence about perceived credibility and relatability; it does not isolate physical attractiveness, estimate an engagement effect, or rank the causes of influencer success.

Video Content: A Research Gap

The cited Instagram study analyzed still images, and the Twitter study analyzed profiles, messages, behavior, and networks. Neither establishes that creator attractiveness increases video click-through rate or watch time. Recommendation systems also change over time and differ by platform, so algorithmic claims require platform-specific data rather than extrapolation from these papers.

Evidence-Informed Social Media Practice

  1. Use faces when they fit the content: Bakhshi et al. found an association with face presence, not a command to put a face in every post
  2. Complete the profile: Hutto et al. modeled description, URL, and location alongside behavior and network variables
  3. Publish useful, focused content: Message content was part of follower-growth prediction in the Twitter study
  4. Interact rather than only broadcast: Directed communication was one of the studied behavioral signals
  5. Test your own audience: Compare posts or profile images under similar conditions; a tool such as FaceScore can compare photo presentation, but cannot predict reach or revenue

Key Research References

  • Bakhshi, S., Shamma, D.A., & Gilbert, E. (2014). "Faces Engage Us: Photos with Faces Attract More Likes and Comments on Instagram." Proceedings of CHI 2014, 965–974. https://doi.org/10.1145/2556288.2557403
  • Hutto, C.J., Yardi, S., & Gilbert, E. (2013). "A Longitudinal Study of Follow Predictors on Twitter." Proceedings of CHI 2013, 821–830. https://doi.org/10.1145/2470654.2470771
  • Djafarova, E. & Rushworth, C. (2017). "Exploring the Credibility of Online Celebrities' Instagram Profiles in Influencing the Purchase Decisions of Young Female Users." Computers in Human Behavior, 68, 1–7. https://doi.org/10.1016/j.chb.2016.11.009