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Measuring latent ties on Facebook: A novel approach to studying their prevalence and relationship with bridging social capital

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  • Brown, Genavee
  • Michinov, Nicolas

Abstract

The goal of the current study was to develop an empirical measure of latent ties on Facebook. We begin with a brief literature review of the influence of social media use on social capital and how latent ties fit into this literature. Latent ties are defined as ties with whom a connection is made possible by an affordance of a technological platform, such as the Facebook friend list, but with whom one never communicates. Latent ties have often been considered beneficial for garnering bridging social capital, but their prevalence and relationship to social capital has not been measured empirically. In the current study, we describe a novel approach for measuring latent ties by questionnaire. In a sample of 164 participants, we found that nearly 40% of Facebook users' networks were latent ties. Furthermore, the percent of latent ties in users' networks was negatively associated with bridging social capital. Finally, we examined the discriminant validity of the latent ties measure, and found that the percent of latent ties in one's Facebook network and the total number of Facebook friends (network size) were unrelated. Results are discussed in regard to possible uses of this measure of latent ties in future research.

Suggested Citation

  • Brown, Genavee & Michinov, Nicolas, 2019. "Measuring latent ties on Facebook: A novel approach to studying their prevalence and relationship with bridging social capital," Technology in Society, Elsevier, vol. 59(C).
  • Handle: RePEc:eee:teinso:v:59:y:2019:i:c:s0160791x17302178
    DOI: 10.1016/j.techsoc.2019.101176
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    Cited by:

    1. Nguyen, Phan Dinh & Tran, Lobel Trong Thuy & Baker, John, 2021. "Driving university brand value through social media," Technology in Society, Elsevier, vol. 65(C).
    2. Hershkovitz, Arnon & Hayat, Zack, 2020. "The role of tie strength in assessing credibility of scientific content on facebook," Technology in Society, Elsevier, vol. 61(C).
    3. Yao Wu & Satish Nambisan & Jinghua Xiao & Kang Xie, 2022. "Consumer resource integration and service innovation in social commerce: the role of social media influencers," Journal of the Academy of Marketing Science, Springer, vol. 50(3), pages 429-459, May.
    4. Yang, Hongjun & Zhang, Shengtai, 2022. "Social media affordances and fatigue: The role of privacy concerns, impression management concerns, and self-esteem," Technology in Society, Elsevier, vol. 71(C).
    5. Shah, Zakir & Ghani, Usman & Asmi, Fahad & Wei, Lu & Qaisar, Sara, 2021. "Exposure to terrorism-related information on SNSs and life dissatisfaction: The mediating role of depression and moderation effect of social support," Technology in Society, Elsevier, vol. 64(C).
    6. Zagidullin, Marat & Aziz, Nergis & Kozhakhmet, Sanat, 2021. "Government policies and attitudes to social media use among users in Turkey: The role of awareness of policies, political involvement, online trust, and party identification," Technology in Society, Elsevier, vol. 67(C).
    7. Wee-Kheng Tan & Ping-Hsin Liao, 2021. "What triggers usage of gift-giving apps? A comparison between users and non-users," Service Business, Springer;Pan-Pacific Business Association, vol. 15(3), pages 515-538, September.
    8. Najmul Hoda & Naim Ahmad & Amjad Aldweesh & Quadri Noorulhasan Naveed, 2023. "Intensity of SNS Use as a Predictor of Online Social Capital and the Moderating Role of SNS Platforms: An Empirical Study Using Partial Least Squares Structural Equation Modelling," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    9. Belanche, Daniel & Casaló, Luis V. & Flavián, Marta & Ibáñez-Sánchez, Sergio, 2021. "Understanding influencer marketing: The role of congruence between influencers, products and consumers," Journal of Business Research, Elsevier, vol. 132(C), pages 186-195.

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