IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i4p3444-d1069807.html
   My bibliography  Save this article

Positive Self-Disclosure on Social Network Sites and Adolescents’ Friendship Quality: The Mediating Role of Positive Feedback and the Moderating Role of Social Anxiety

Author

Listed:
  • Lizhong Liu

    (School of Education, Central China Normal University, Wuhan 430079, China)

  • Tianyi Zhang

    (School of Education, Central China Normal University, Wuhan 430079, China)

  • Lei Han

    (School of Psychology, Shandong Normal University, Jinan 250014, China)

Abstract

In the current information age, SNSs (Social Network Sites) have been popular among young adolescents, and have also become a main manner to maintain social relationships. Against this background, based on relevant evidence, the present study aimed to examine the association between positive self-disclosure on SNSs and adolescents’ friendship quality, as well as the underlying mechanism—the potential mediating role of perceived positive feedback and the moderating role of social anxiety. A sample of 1713 adolescents aged 11 to 19 was recruited to participate in this study, to complete a set of scales. Results indicated that positive self-disclosure on SNSs was positively associated with adolescents’ friendship quality, and positive feedback significantly mediated the association between self-disclosure positivity and friendship quality. This mediating effect, moderated by social anxiety, could significantly moderate the mediating effect of positive feedback; specifically, compared with higher social anxiety adolescents, the association between positive self-disclosure and positive feedback was stronger among individuals with lower social anxiety. These findings may expand previous studies, with several theoretical and practical implications.

Suggested Citation

  • Lizhong Liu & Tianyi Zhang & Lei Han, 2023. "Positive Self-Disclosure on Social Network Sites and Adolescents’ Friendship Quality: The Mediating Role of Positive Feedback and the Moderating Role of Social Anxiety," IJERPH, MDPI, vol. 20(4), pages 1-12, February.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:3444-:d:1069807
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/4/3444/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/4/3444/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rui Chen & Sushil K. Sharma, 2013. "Self-disclosure at social networking sites: An exploration through relational capitals," Information Systems Frontiers, Springer, vol. 15(2), pages 269-278, April.
    2. Xiaochun Xie & Xingchao Wang & Fengqing Zhao & Li Lei & Gengfeng Niu & Pengcheng Wang, 2018. "Online Real-Self Presentation and Depression among Chinese Teens: Mediating Role of Social Support and Moderating Role of Dispositional Optimism," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(5), pages 1531-1544, October.
    3. Chantie Charissa Luijten & Daphne Bongardt & Anna Petra Nieboer, 2022. "The Roles of Social Media Use and Friendship Quality in Adolescents’ Internalizing Problems and Well-being," Journal of Happiness Studies, Springer, vol. 23(7), pages 3161-3178, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Saridakis, George & Benson, Vladlena & Ezingeard, Jean-Noel & Tennakoon, Hemamali, 2016. "Individual information security, user behaviour and cyber victimisation: An empirical study of social networking users," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 320-330.
    2. Jongchang Ahn & Kyungran Ma & Ook Lee & Suaini Sura, 2017. "Do big data support TV viewing rate forecasting? A case study of a Korean TV drama," Information Systems Frontiers, Springer, vol. 19(2), pages 411-420, April.
    3. Syed Sardar Muhammad & Bidit Lal Dey & Vishanth Weerakkody, 2018. "Analysis of Factors that Influence Customers’ Willingness to Leave Big Data Digital Footprints on Social Media: A Systematic Review of Literature," Information Systems Frontiers, Springer, vol. 20(3), pages 559-576, June.
    4. Kim, Eunjin & Yoon, Sungjun, 2021. "Social capital, user motivation, and collaborative consumption of online platform services," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    5. Liu, Yang & Chen, Yuan & Fan, Zhi-Ping, 2021. "Do social network crowds help fundraising campaigns? Effects of social influence on crowdfunding performance," Journal of Business Research, Elsevier, vol. 122(C), pages 97-108.
    6. Xiang, Guangcan & Teng, Zhaojun & Li, Qingqing & Chen, Hong & Guo, Cheng, 2020. "The influence of perceived social support on hope: A longitudinal study of older-aged adolescents in China," Children and Youth Services Review, Elsevier, vol. 119(C).
    7. Nabity-Grover, Teagen & Cheung, Christy M.K. & Bennett Thatcher, Jason, 2023. "How COVID-19 stole Christmas: How the pandemic shifted the calculus around social media Self-Disclosures," Journal of Business Research, Elsevier, vol. 154(C).
    8. Shuaa Aljasir & Ayman Bajnaid & Tariq Elyas & Mustafa Alnawasrah, 2017. "Users¡¯ Behaviour on Facebook: A Literature Review," International Journal of Business Administration, International Journal of Business Administration, Sciedu Press, vol. 8(7), pages 111-129, November.
    9. Fabio Alexis Rincón Uribe & Cristian Ariel Neira Espejo & Janari da Silva Pedroso, 2022. "The Role of Optimism in Adolescent Mental Health: A Systematic Review," Journal of Happiness Studies, Springer, vol. 23(2), pages 815-845, February.
    10. Shuaa Aljasir & Ayman Bajnaid & Tariq Elyas & Mustafa Alnawasrah, 2017. "Facebook¡¯s Compatibility, Reasons for Disclosure, and Discussion of Social and Political Issues: The Case of University Students Using Facebook," Journal of Management and Strategy, Journal of Management and Strategy, Sciedu Press, vol. 8(5), pages 1-17, November.
    11. Darrell Carpenter & Alexander McLeod & Chelsea Hicks & Michele Maasberg, 0. "Privacy and biometrics: An empirical examination of employee concerns," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    12. Liying Jiao & Wen Jiang & Zhen Guo & Yue Xiao & Mengke Yu & Yan Xu, 2023. "Good Personality and Subjective Well-Being During the COVID-19 Pandemic: A Three-Wave Longitudinal Study in Chinese Contexts," Journal of Happiness Studies, Springer, vol. 24(2), pages 589-606, February.
    13. Guofang Liu & Qingxuan Meng & Qian Su, 2024. "Risk or Opportunity? How is Children’s Subjective Well-Being Affected by Their Parents During Public Health Emergencies," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 17(1), pages 81-97, February.
    14. Matteo Manca & Ludovico Boratto & Salvatore Carta, 2018. "Behavioral data mining to produce novel and serendipitous friend recommendations in a social bookmarking system," Information Systems Frontiers, Springer, vol. 20(4), pages 825-839, August.
    15. Jens Christoffer Skogen & Gunnhild Johnsen Hjetland & Tormod Bøe & Randi Træland Hella & Ann Kristin Knudsen, 2021. "Through the Looking Glass of Social Media. Focus on Self-Presentation and Association with Mental Health and Quality of Life. A Cross-Sectional Survey-Based Study," IJERPH, MDPI, vol. 18(6), pages 1-16, March.
    16. Nuryakin Nuryakin & Retno Widowati PA & Indah Fatmawati, 2018. "Network Advantage: Mediating Effect on Business Performance," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 65(4), pages 443-457, December.
    17. Matteo Manca & Ludovico Boratto & Salvatore Carta, 0. "Behavioral data mining to produce novel and serendipitous friend recommendations in a social bookmarking system," Information Systems Frontiers, Springer, vol. 0, pages 1-15.
    18. Jongchang Ahn & Kyungran Ma & Ook Lee & Suaini Sura, 0. "Do big data support TV viewing rate forecasting? A case study of a Korean TV drama," Information Systems Frontiers, Springer, vol. 0, pages 1-10.
    19. Michelle Richey & Aparna Gonibeed & M. N. Ravishankar, 2018. "The Perils and Promises of Self-Disclosure on Social Media," Information Systems Frontiers, Springer, vol. 20(3), pages 425-437, June.
    20. Federico Iannacci & Colm Fearon & Kristine Pole, 2021. "From Acceptance to Adaptive Acceptance of Social Media Policy Change: a Set-Theoretic Analysis of B2B SMEs," Information Systems Frontiers, Springer, vol. 23(3), pages 663-680, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:3444-:d:1069807. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.