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Exploring Organizational Self-(re)presentations on Visual Social Media: Computational Analysis of Startups’ Instagram Photos Based on Unsupervised Learning

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  • Yunhwan Kim

Abstract

Presenting oneself visually is an essential part of online behaviors on social networking sites (SNSs), and this is also the case for organizational accounts. Examining organizational self-presentation on their SNS accounts can show the key instruments through which organizations communicate online with the public. Thus, taking startups’ Instagram accounts as examples, this study aims to explore what and how organizations present visually on the photos uploaded to their Instagram accounts. The photos were analyzed in terms of their content, texts in photos, and facial and pixel-level characteristics. Photos and accounts were clustered respectively and resulting clusters were compared as well. The results suggest that text and people are the major objects represented in startups’ Instagram photos. The text presented in the photos was mainly about startups’ efforts to realize social values that can benefit communities by aiding people to do something in a timely manner. Two photo clusters were found: one mainly represented people and people-related words and the other mainly presented texts. Two account clusters were also found: one mainly consists of IT companies that presented texts in their photos and the other mainly consists of human-related services that presented people in their photos. This study can contribute to the body of literature by identifying the visual characteristics of organizational SNS photos and expanding self-presentation research to organizational SNS accounts.

Suggested Citation

  • Yunhwan Kim, 2023. "Exploring Organizational Self-(re)presentations on Visual Social Media: Computational Analysis of Startups’ Instagram Photos Based on Unsupervised Learning," SAGE Open, , vol. 13(4), pages 21582440231, December.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:4:p:21582440231211631
    DOI: 10.1177/21582440231211631
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    1. Sahaym, Arvin & (Avi) Datta, Avimanyu & Brooks, Stoney, 2021. "Crowdfunding success through social media: Going beyond entrepreneurial orientation in the context of small and medium-sized enterprises," Journal of Business Research, Elsevier, vol. 125(C), pages 483-494.
    2. Andrea N. Geurin-Eagleman & Lauren M. Burch, 2016. "Communicating via photographs: A gendered analysis of Olympic athletes’ visual self-presentation on Instagram," Sport Management Review, Taylor & Francis Journals, vol. 19(2), pages 133-145, April.
    3. Christian Rudeloff & Stefanie Pakura & Fabian Eggers & Thomas Niemand, 2022. "It takes two to tango: the interplay between decision logics, communication strategies and social media engagement in start-ups," Review of Managerial Science, Springer, vol. 16(3), pages 681-712, April.
    4. Jung, Sang Hoon & Jeong, Yong Jin, 2020. "Twitter data analytical methodology development for prediction of start-up firms’ social media marketing level," Technology in Society, Elsevier, vol. 63(C).
    5. Jose Ramon Saura & Pedro Palos-Sanchez & Antonio Grilo, 2019. "Detecting Indicators for Startup Business Success: Sentiment Analysis Using Text Data Mining," Sustainability, MDPI, vol. 11(3), pages 1-14, February.
    6. Chunhui Yuan & Haitao Yang, 2019. "Research on K-Value Selection Method of K-Means Clustering Algorithm," J, MDPI, vol. 2(2), pages 1-10, June.
    7. Linus W. Dietz & Avradip Sen & Rinita Roy & Wolfgang Wörndl, 2020. "Mining trips from location-based social networks for clustering travelers and destinations," Information Technology & Tourism, Springer, vol. 22(1), pages 131-166, March.
    8. Shiwangi Singh & Akshay Chauhan & Sanjay Dhir, 2019. "Analyzing the startup ecosystem of India: a Twitter analytics perspective," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 17(2), pages 262-281, November.
    9. Klostermann, Jan & Meißner, Martin & Max, Alexander & Decker, Reinhold, 2023. "Presentation of celebrities’ private life through visual social media," Journal of Business Research, Elsevier, vol. 156(C).
    10. Shiwangi Singh & Akshay Chauhan & Sanjay Dhir, 2019. "Analyzing the startup ecosystem of India: a Twitter analytics perspective," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 17(2), pages 262-281, November.
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