Liking without borders? Authenticity and the evaluation of Instagram photo genres

Tommaso Trillò et al.

Journal of Computer-Mediated Communication2025https://doi.org/10.1093/jcmc/zmaf008article
AJG 3
Weight
0.44

What the paper says

While authenticity has been identified as pivotal on social media, it has not been studied as part of a broader value ecology shaping content evaluation. Addressing this gap, we investigated users’ evaluations of prominent Instagram genres in relation to perceptions of authenticity. A survey of 1,000 users from the United States, Germany, Italy, Japan, and South Korea revealed transnational similarities in value-related interpretations of genres, alongside local variation. Participants described the most liked genres as expressing happiness, togetherness, and peacefulness, and authenticity was positively correlated with favorable evaluation of content across countries and genres. Ultimately, evaluation on Instagram is shaped by the intersection of perceived authenticity and pleasure derived from peaceful solitude or close social bonds. We conclude by reflecting on the utility of our multi-method approach and the importance of situating authenticity vis-à-vis other values in social media research.

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https://doi.org/https://doi.org/10.1093/jcmc/zmaf008

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@article{tommaso2025,
  title        = {{Liking without borders? Authenticity and the evaluation of Instagram photo genres}},
  author       = {Tommaso Trillò et al.},
  journal      = {Journal of Computer-Mediated Communication},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1093/jcmc/zmaf008},
}

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Liking without borders? Authenticity and the evaluation of Instagram photo genres

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Evidence weight

0.44

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.57 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.