Young Adult’s Attitude of Using Dating Apps

  • Pui Kei Lee
  • Shing Chi Oscar Liu
  • Gisele Chi Ying Lee
Conference paper
Part of the Educational Communications and Technology Yearbook book series (ECTY)


This research looks at the factors that would affect the consumptions of dating apps. Dozens of dating apps have been launched in the past decade, especially with the most used dating app Tinder. There are around 50 million users worldwide (Iqbal 2018); the data appears to suggest that dating apps have already become part of our daily life. As dating apps became an alternative tool for people seeking a new kind of relationship, understanding the behavior of the users could enrich the understanding of why people choose to use or not use dating apps.

The research used five possible factors to see if they are related to the consumptions or use of dating apps. They include attitude on using dating apps, perception of using dating apps, gender, education level, and religion. The age group is limited to 18–30 as young adults have been proven that they are the biggest group of dating app users. In order to understand the user’s behavior, a survey has been carried out, and snowball sampling is used to distribute the survey. There are 182 respondents and most of them are bachelor degree students.

The reliability of the survey is generally considered a good fit which has a SRMR of 0.072 (SRMR<0.08).

Also, there are three out of five factors that proved that relation occurs with the consumptions of the dating apps. The three factors are attitude on using dating apps, perception on using dating apps, and gender.

According to the survey result, for attitude of using dating apps (H1), β=0.560, and the p-value is 0 (p < .001) that is the most related one of the hypotheses. For perception of using dating apps (H2), β=0.181 and p-value is 0.026 (p < .05). Also, for gender (H3) β=-0.13 and p-value is 0.023 (p < .05). Therefore, it has shown that H1, H2, and H3 were supported. For education level (H4) β=0.021 and religion (H5) β=0.008. However, their p-values are .705 and .884. Both of them are smaller than 0.05, showing that they have no relationship with the consumptions of dating apps.

Although the hypotheses of education level and religion are not successfully established, the limitations might affect the final result. For further study, education level and religion could be conducted again to prove if they are related to the general behavior of using dating apps.

The result has also shown that Hong Kong people have a strong stereotype on who have used or are using the dating apps. For example, some questions in the survey which are about the perception of using dating apps asked what their standpoint is. It came out that there are only 27% (26.9%) of the participants that agreed that using dating apps would be able to establish a long-term relationship. The traditional thoughts of Chinese and those labels from the society about them may be the reason to answer the result, affecting the view of interviewees when they do the questionnaire.


Dating apps Hongkongers Relationship development Social relations 


  1. Andrew, P. (2015). Social Media Usage: 2005–2015. Pew Research Centre, 6.Google Scholar
  2. Babakus, E., & Mangold, W. G. (1992). Adapting the SERVQUAL scale to hospital services: An empirical investigation. Health Services Research, 26(6), 767.Google Scholar
  3. Census and Statistics Department. (2017). Thematic Household Survey Report No. 64. Retrieved from
  4. Finkel, E. J., Eastwick, P. W., Karney, B. R., Reis, H. T., & Sprecher, S. (2012). Dating in a digital world. Scientific American Mind, 26.Google Scholar
  5. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.Google Scholar
  6. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–151.CrossRefGoogle Scholar
  7. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.CrossRefGoogle Scholar
  8. Iqbal, M. (2018). Tinder revenue and usage statistics.Google Scholar
  9. Kaylin, C. (2016). The importance of religion in society. The Reporter.Google Scholar
  10. Leung, L. H., Lee, Y. W., & Lau, C. L. J. (2017). Mr/Ms right now: A cross-sexual orientations motivational, usage and attitudinal study on online dating-app – The case study of Hong Kong locals and Migrant workers Google Scholar
  11. Mieczakowski, A., Goldhaber, T., & Clarkson, J. (2011). Culture, communication, and change: Reflections on the use and impact of modern media and technology in our lives.Google Scholar
  12. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (2nd ed.). New York: McGraw-Hill.Google Scholar
  13. Smith, A., & Anderson, M. (2016). 5 facts about online dating. Pew Research Center, 29.Google Scholar
  14. We are Flint. (2018). Social 2018 Main Findings.Google Scholar
  15. Whitty, M., & Carr, A. (2006). Cyberspace romance: The psychology of online relationships. New York: Palgrave Macmillan.CrossRefGoogle Scholar
  16. YouGov (2017). Four in ten Hong Kongers have used internet dating. Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Pui Kei Lee
    • 1
  • Shing Chi Oscar Liu
    • 1
  • Gisele Chi Ying Lee
    • 1
  1. 1.Department of Journalism and CommunicationChu Hai College of Higher EducationHong KongChina

Personalised recommendations