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Social Ties and User Content Generation: Evidence from Flickr

Author

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  • Xiaohua Zeng

    (College of Business, City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong S.A.R.)

  • Liyuan Wei

    (College of Business, City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong S.A.R.)

Abstract

The content created by the users of social networking sites has reached such high levels of quality and variety that it is comparable to that produced by professional agencies. Therefore, understanding what types of content users generate and the underlying motivational factors is vital to the success of the sites. The extant research on content generation has primarily focused on the amount of content and on how to encourage participation in content creation, and less attention has been paid to the content itself and how social relations affect the types of content that users upload. This study aims to empirically document the relationship between social ties and the similarities between the types of content that people create online. We collected a large data set from the photo-hosting website Flickr detailing the users' social relations over time in conjunction with their photo-uploading behavior. We found that around the time of the formation of a social tie, members of dyads began to upload more similar photos than they did before that time. After a social tie was formed, this similarity evolved in different ways in different subgroups of dyads. Whereas the similarity between photos uploaded by dyads experiencing notably different popularity levels on the site continued to grow, the dyads of users with similar levels of popularity gradually began to upload less similar photos. In cultural production, individuals appear to present themselves as unique; this feature is more salient when the social contacts are similar in popularity status. Photo-shooting behaviors have been found to exhibit the same patterns. Furthermore, we show that the most divergent uploading behavior is observed when a high-popularity user initiates a tie with a user with lower popularity. We use social psychological motivations to explain these results.

Suggested Citation

  • Xiaohua Zeng & Liyuan Wei, 2013. "Social Ties and User Content Generation: Evidence from Flickr," Information Systems Research, INFORMS, vol. 24(1), pages 71-87, March.
  • Handle: RePEc:inm:orisre:v:24:y:2013:i:1:p:71-87
    DOI: 10.1287/isre.1120.0464
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    13. Wu He & Feng-Kwei Wang & Yong Chen & Shenghua Zha, 2017. "An exploratory investigation of social media adoption by small businesses," Information Technology and Management, Springer, vol. 18(2), pages 149-160, June.
    14. Xingyu Chen & Xing Li & Dai Yao & Zhimin Zhou, 2019. "Seeking the support of the silent majority: are lurking users valuable to UGC platforms?," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 986-1004, November.
    15. Doyle, Cathal & Nagle, Tadhg, 2019. "A framework for evaluating the effectiveness of technology enabled collaborative learning," OSF Preprints 6hq5j, Center for Open Science.
    16. Sinan Aral & Chrysanthos Dellarocas & David Godes, 2013. "Introduction to the Special Issue ---Social Media and Business Transformation: A Framework for Research," Information Systems Research, INFORMS, vol. 24(1), pages 3-13, March.
    17. Lu, Qiang Steven & Miller, Rohan, 2019. "How Social Media Communications Combine with Customer Loyalty Management to Boost Green Retail Sales," Journal of Interactive Marketing, Elsevier, vol. 46(C), pages 87-100.
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    19. Prasanta Bhattacharya & Tuan Q. Phan & Xue Bai & Edoardo M. Airoldi, 2019. "A Coevolution Model of Network Structure and User Behavior: The Case of Content Generation in Online Social Networks," Service Science, INFORMS, vol. 30(1), pages 117-132, March.
    20. Karen Ruckman & Nilesh Saraf & Vallabh Sambamurthy, 2015. "Market Positioning by IT Service Vendors Through Imitation," Information Systems Research, INFORMS, vol. 26(1), pages 100-126, March.
    21. Natalia Levina & Manuel Arriaga, 2014. "Distinction and Status Production on User-Generated Content Platforms: Using Bourdieu’s Theory of Cultural Production to Understand Social Dynamics in Online Fields," Information Systems Research, INFORMS, vol. 25(3), pages 468-488, September.
    22. Kawaljeet Kaur Kapoor & Kuttimani Tamilmani & Nripendra P. Rana & Pushp Patil & Yogesh K. Dwivedi & Sridhar Nerur, 2018. "Advances in Social Media Research: Past, Present and Future," Information Systems Frontiers, Springer, vol. 20(3), pages 531-558, June.
    23. Hyeokkoo Eric Kwon & Hyunji So & Sang Pil Han & Wonseok Oh, 2016. "Excessive Dependence on Mobile Social Apps: A Rational Addiction Perspective," Information Systems Research, INFORMS, vol. 27(4), pages 919-939, December.
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