Web Survey Bibliography
Users of social network sites (SNS) often disclose a great amount of personal and intimate information on their profiles whilst at the same time stating to be concerned with their privacy. This phenomenon has been called privacy paradox and received attention from researchers as well as the media; SNS have reacted and offer now more fine-grained privacy settings. Thus, it is time to revisit the privacy paradox and examine which factors predict choices for certain privacy settings. SNS users have to find a balance between two conflicting motives - privacy protection and self-presentation. After all, the main purpose of SNS is to maintain strong and weak ties, which involves creating a profile and keeping people updated about one's life.
The first study focused on these conflicting motives, but looked also at the role of dispositional trust and narcissism. An online survey was held among 144 users of Hyves, the largest Dutch social network site. The results showed that active SNS users meanwhile protect their profiles. Almost 75% had changed the default privacy settings, mostly into more restrictive privacy settings. Although dispositional trust and narcissism were related to privacy concerns and use of the Internet for strategic self-presentation, the two Internet-specific attitudes were the best predictors of actual privacy settings.
Study 2 examined also the role of social norms. Users might also choose more protective privacy settings because many other users do so. University students (n = 70) were used as subjects in order to reach also less active Hyvers. Again, the majority had changed their privacy settings, indicating that the privacy paradox becomes smaller. Perceived norm turned out to be a strong predictor of privacy settings.
Thus, across two studies it was found that SNS users are not only concerned about their privacy, but that these privacy concerns translate into action. This challenges earlier studies reporting a privacy paradox. Internet-specific attitudes were better predictors than general personality characteristics. Moreover, social norms played an important role, stressing the importance of social influence processes in SNS. Practical implications will be discussed.
Conference homepage (abstract)
Web survey bibliography (109)
- The use of online social networks as a promotional tool for self-administered internet surveys; 2016; de Rada, V. D.; Arino, L. V. C; Blasco, M. G
- Exploring the Feasibility of Using Facebook for Surveying Special Interest Populations ; 2016; Lee, C.; Jang, S.
- Longitudinal Online Ego-centric Social Network Data Collection with EgoWeb 2.0 ; 2016; Amin, A.; Kennedy, D.
- Problems and Prospects in Survey Research; 2016; Moy, P.; Murphy, J.
- A Framework of Incorporating Thai Social Networking Data in Online Marketing Survey; 2016; Jiamthapthaksin, R.; Aung, T. H.; Ratanasawadwat, N.
- Improving social media measurement in surveys: Avoiding acquiescence bias in Facebook research; 2016; Kuru, O.; Pasek, J.
- Online and Social Media Data As an Imperfect Continuous Panel Survey; 2016; Diaz, F.; Garmon, F.; Hofman, J. K.; Kiciman, E.; Rothschild, D.
- Social Media Analyses for Social Measurement; 2016; Schober, M. F.; Pasek, J.; Guggenheim, L.; Lampe, C.; Conrad, F. G.
- Doing Surveys Online ; 2016; Toepoel, V.
- Taming Big Data: Using App Technology to Study Organizational Behavior on Social Media; 2015; Bail, C. A.
- Validation of the new scale for measuring behaviors of Facebook users: Psycho-Social Aspects of Facebook...; 2015; Bodroza, B.; Jovanovic, T.
- Facebook as a Tool for Respondent Tracing; 2015; Schneider, S. J., Burke-Garcia, A., Thomas, G.
- Predictors of inconsistent responding in web surveys; 2015; Akbulut, Y.
- Does Opinion Leadership Increase the Followers on Twitter; 2015; Hwang, Y.
- A Mixed Methods Approach to Network Data Collection; 2014; Rice, E., Holloway, I. W., Barman-Adhikari, A., Fuentes, D., Brown, C. H., Palinkas, L. A.
- Facebook, Twitter, & Qr Codes: An Exploratory Trial Examining The Feasibility Of Social Media Mechanisms...; 2014; Gu, L. L.
- Build your own social network laboratory with Social Lab: a tool for research in social media; 2014; Garaizar, P., Reips, U.-D.
- Use of a Google Map Tool Embedded in an Internet Survey Instrument: Is it a Valid and Reliable Alternative...; 2014; Dasgupta, S., Vaughan, A. S., Kramer, M. R., Sanchez, T. H., Sullivan, P. S.
- Using respondent tweets to fill in survey gaps; 2014; Murphy, J.
- The quality of ego-centered social network data in web surveys: experiments with a visual elicitation...; 2014; Marcin, B., Matzat, U., Snijders, C.
- Social Media and Surveys: Collaboration, Not Competition; 2014; Couper, M. P.
- Recent Books and Journals in Public Opinion, Survey Methods, and Survey Statistics; 2014; Callegaro, M.
- Social Media and Online Survey: Tools for Knowledge Management in Health Research ; 2014; Merolli, M., Sanchez, F. J. M., Gray, K.
- Using Online Social Media for Recruitment of Human Immunodeficiency Virus-Positive Participants: A Cross...; 2014; Yuan, P., Bare, M. G., Johnson, M. O., Saberi, P.
- Online Surveys as a Management Tool for Monitoring Multicultual Virtual Team Processes; 2014; Scovotti, C.
- Picking up the Bread Crumbs: Holistic Insights from Social Media; 2014; Souda, P.
- The Future of Social Media, Sociality, and Survey Research; 2013; Hill, C., Dever, J. A.
- Collecting Diary Data on Twitter; 2013; Richards, A., Dean, E., Cook, S.
- Second Life as a Survey Lab: Exploring the Randomized Response Technique in a Virtual Setting; 2013; Richards, A., Dean, E.
- Virtual Cognitive Interviewing Using Skype and Second Life; 2013; Dean, E., Head, B., Swicegood, J. E.
- Sentiment Analysis: Providing Categorical Insight into Unstructured Textual Data; 2013; Haney, C.
- Social Media, Sociality, and Survey Research; 2013; Hill, C., Dean, E., Murphy, J.
- Different approaches to measure ego-centered social support networks: a meta-analysis; 2013; Hlebec, V., Kogovsek, T.
- Online questionnaire development: Using film to engage participants and then gather attitudes towards...; 2013; Middleton, A., Bragin, E., Morley, K. I., Parker, M.
- Customer satisfaction in Web 2.0 and information technology development; 2013; Sharma, G., Baoku, L.
- Online Survey on Twitter: A Urological Experience; 2013; Dal Moro, F.
- Social media data demands a marriage of high-tech and high-touch; 2013; Waldheim, C., Stevens, N.
- Conceptualising and evaluating experiences with brands on Facebook; 2013; Smith, S.
- Discovering interest groups for marketing in virtual communities: An integrated approach; 2013; Wang, K.-Y., Wu, H.-J., Ting, I.-H.
- New social media, new social science?; 2013; Woodfield, K., Morrell, G.
- Cognitive Interviewing in Online Modes: a Comparison of Data Collected in Second Life and Skype; 2013; Swicegood, J. E., Head, B., Dean, E., Keating, M.
- Social Network Analysis and Survey Response: How Facebook Data Can Supplement Survey Data; 2013; Sage, A.
- The Use of Email, Text Messages, and Facebook to Increase Response Rates Among Adolescents in a Longitudinal...; 2013; Fleeman, A., Francis, K., Henderson, Ti., Woodford, M., Jani, M.
- Internet-Based Recruitment to a Depression Prevention Intervention: Lessons From the Mood Memos Study...; 2013; Morgan, A. J., Jorm, A. F., Mackinnon, A. J.
- Sampling online communities: using triplets as basis for a (semi-) automated hyperlink web crawler.; 2013; Veny, Y.
- Use of a Social Networking Web Site for Recruiting Canadian Youth for Medical Research; 2013; Chu, J. L., Snider, C. E.
- How and when social media storms impact brands; 2012; Morris, A., Perry, H.
- Biting the Hand and Bending the Rules: An IJMR Presentation; 2012; Pettit, A.
- A survey of social media usage integrating daily Facebook participation time with in-person social interaction...; 2012; Mishra, S.
- The integration of facebook into class management: an exploratory study; 2012; Chou, P. N.