Influencing Photo Sharing Decisions on Social Media: A Case of Paradoxical Findings
Mary Jean Amon, Rakibul Hasan, Kurt Hugenberg, Bennett I. Bertenthal, Apu Kapadia
Abstract
We investigate the effects of perspective taking, privacy cues, and portrayal of photo subjects (i.e., photo valence) on decisions to share photos of people via social media. In an online experiment we queried 379 participants about 98 photos (that were previously rated for photo valence) in three conditions: (1) Baseline: participants judged their likelihood of sharing each photo; (2) Perspective-taking: participants judged their likelihood of sharing each photo when cued to imagine they are the person in the photo; and (3) Privacy: participants judged their likelihood to share after being cued to consider the privacy of the person in the photo. While participants across conditions indicated a lower likelihood of sharing photos that portrayed people negatively, they – surprisingly – reported a higher likelihood of sharing photos when primed to consider the privacy of the person in the photo. Frequent photo sharers on real-world social media platforms and people without strong personal privacy preferences were especially likely to want to share photos in the experiment, regardless of how the photo portrayed the subject. A follow-up study with 100 participants explaining their responses revealed that the Privacy condition led to a lack of concern with others’ privacy. These findings suggest that developing interventions for reducing photo sharing and protecting the privacy of others is a multivariate problem in which seemingly obvious solutions can sometimes go awry.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Cited by top-tier papers11
- Your Photo is so Funny that I don't Mind Violating Your Privacy by Sharing it: Effects of Individual Humor Styles on Online Photo-sharing BehaviorsRakibul Hasan, Bennett I. Bertenthal, Kurt Hugenberg, Apu KapadiaCHI 2021 · 31 citations
- On the Potential of Mediation Chatbots for Mitigating Multiparty Privacy Conflicts - A Wizard-of-Oz StudyKavous Salehzadeh Niksirat, Diana Korka, Hamza Harkous, Kévin Huguenin et al.CSCW 2023 · 31 citations
- When Forcing Collaboration is the Most Sensible Choice: Desirability of Precautionary and Dissuasive Mechanisms to Manage Multiparty Privacy ConflictsMauro Cherubini, Kavous Salehzadeh Niksirat, Marc-Olivier Boldi, Henri Keopraseuth et al.CSCW 2021 · 20 citations
- Sharenting on TikTok: Exploring Parental Sharing Behaviors and the Discourse Around Children's Online PrivacySophie Stephenson, Christopher Nathaniel Page, Miranda Wei, Apu Kapadia et al.CHI 2024 · 19 citations
- A Psychometric Scale to Measure Individuals' Value of Other People's Privacy (VOPP)Rakibul Hasan, Rebecca Weil, Rudolf Siegel, Katharina KrombholzCHI 2023 · 17 citations
Related papers
- How Social Media Peer Comments Influence Privacy Decisions in Photo Sharing: Context and Individual Differences Cause Comments to BackfireTangila Islam Tanni, Renita Washburn, Yan Solihin, Mary Jean AmonWWW 2026
- Think Twice: Improving Privacy Awareness with Tailored LLM-Powered InterventionsSabid Bin Habib Pias, Christopher Nathaniel Page, Christine Chen, Mary Jean Amon et al.CHI 2026
- Bottom-up psychosocial interventions for interdependent privacy: Effectiveness based on individual and content differencesRenita Washburn, Tangila Islam Tanni, Yan Solihin, Apu Kapadia et al.CHI 2023 · 4 citations
- Does This Photo Make Me Look Good?: How Social Media Feedback on Photos Impacts Posters, Outsiders, and FriendsSanchari Das, Tousif Ahmed, Apu Kapadia, Sameer PatilCSCW 2021 · 2 citations
- Raising Awareness of Location Information Vulnerabilities in Social Media Photos using LLMsYing Ma, Shiquan Zhang, Dongju Yang, Zhanna Sarsenbayeva et al.CHI 2025 · 11 citations
