The week's pick
Reseach Article
What Derives People to use Reporting Functions on Social Networks?
| International Journal of Applied Information Systems |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 12 - Number 25 |
| Year of Publication: 2019 |
| Authors: Omer Alrwais, Elham Alhodaib |
10.5120/ijais2019451830
|
Omer Alrwais, Elham Alhodaib . What Derives People to use Reporting Functions on Social Networks?. International Journal of Applied Information Systems. 12, 25 ( November 2019), 10-16. DOI=10.5120/ijais2019451830
Abstract
In recent years, online abuse has emerged as a huge problem across the Internet and especially on social media. To deal with this unacceptable behavior, many social media providers implement built-in reporting functions on their platforms. Using Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB) and Technology Readiness (TR) a conceptual model is presented to investigate the factors affecting the use of reporting functions. The model was empirically tested through a questionnaire conducted in Saudi Arabia. Findings show that attitude, perceived behavioral control, and perceived emergency have significant impact on individuals’ reporting intention, while subjective norm, perceived responsibility and evaluation apprehension have insignificant effect on reporting intention. Furthermore, results indicate that perceived usefulness, optimism, and discomfort has indirect effects on intention to use reporting tools.
References
- Buckle, C. "A Third of Online Time Spent On Social Media" 2016, http://blog.globalwebindex.net/chart-of-the-day/a-third-of-online-time-spent-on-social-media/ , Accessed June 15 2017.
- Ellison, N.B., Boyd, D.M. Sociality through social network sites. In The Oxford handbook of internet studies, 2013.
- Wong, R.Y., Cheung, C. M., Xiao, B. “Combating Online Abuse: What Drives People to Use Online Reporting Functions on Social Networking Sites”, In the 49th International Conference on System Sciences (HICSS), Hawaii, 415-424, 2016.
- TheGuardian,https://www.theguardian.com/society/2014/nov/14/35pc-children-teenagers-victims-cyberbullying-fears-grooming-tinder-snapchat Accessed June 15 2017.
- Lilley, C., Ball, R.,Vernon, H. “The experiences of 11-16 year olds on social networking sites”, National Society for the Prevention of Cruelty to Children (NSPCC), United Kingdom, 2014.
- Duggan, M. “Online harassment: Summary of findings”, PewResearchCenter,http://www.pewinternet.org/2014/10/22/online-harassment/ Accessed June 15 2017.
- Crawford, K., Gillespie, T. “What is a flag for? Social media reporting tools and the vocabulary of complaint”, New Media & Society, 18(3), 410-428, 2016.
- Communications and Information Technology Commission, KSA ICT Indicators End of Q3 2016, http://www.citc.gov.sa/en/mediacenter/newsletter/Documents/PR_ENL_027_En.pdf Accessed June 16 2017.
- GlobalRev Gen, http://www.globalrevgen.com/advertise-in-saudi%20arabia Accessed June 16 2017.
- GO-Gulf, “Social Media Saudi Arabia-Statistic and Trends”, http://www.go-gulf.com/blog/social-media-saudi-arabia/ Accessed June 16 2017.
- Ministry of Communications and Information Technology,http://www.mcit.gov.sa/En/MediaCenter/Pages/News/News-22032016_982.aspx Accessed June 16 2017.
- Benevenuto, F., Rodrigues, T., Almeida, V., Almeida, J., and Gonçalves, M., “Detecting spammers and content promoters in online video social networks”, In Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, pp 620-627. 2009.
- Chu, Z., I. Widjaja, and H. Wang., “Detecting social spam campaigns on twitter”, in International Conference on Applied Cryptography and Network Security, 2012.
- Alhodaib, E., Alrwais, O., "The Sociocultural Role in Perceptions and Appraisals for the use of Online Reporting Functions on Social Networking Sites in Saudi Arabia", International Conference on Electrical and Computing Technologies and Applications (ICECTA), Ras Al Khaimah, United Arab Emirates, 2017.
- Dutot, V., “Adoption of social media using technology acceptance model: The generational effect”, International Journal of Technology and Human Interaction (IJTHI). 10(4), 18-35, 2014.
- Wirtz, B., Go¨ttel, V., “TECHNOLOGY ACCEPTANCE IN SOCIAL MEDIA: REVIEW, SYNTHESIS AND DIRECTIONS FOR FUTURE EMPIRICAL RESEARCH”, Journal of Electronic Commerce Research. 17(2), 97, 2016.
- Sabir, R.I., Ahmad, W., Noor, N., “Adoption of Social Networking Sites among Pakistani University Students: A Case of Face-Book”, Journal of Asian Business Strategy. 3(6), 125, 2013.
- Rauniar, R., Rawski, G., Yang, J., & Johnson, B., “Technology acceptance model (TAM) and social media usage: an empirical study on Facebook”, Journal of Enterprise Information Management, 27(1), 6-30, 2014.
- Davis, F.D, “User acceptance of information technology: system characteristics, user perceptions and behavioral impacts”, International journal of man-machine studies, 38(3), 475-487, 1993.
- Al-Ghaith, W.A., “Applying Decomposed Theory of Planned Behaviour towards a Comprehensive Understanding of Social Network Usage in Saudi Arabia”, International Journal of Information Technology and Computer Science (IJITCS), 8(5), 52 2016.
- Al-Ghaith, W., “USING THE THEORY OF PLANNED BEHAVIOR TO DETERMINE THE SOCIAL NETWORK USAGE BEHAVIOR IN SAUDI ARABIA”, International Journal of Research in Computer Science, 5(1), 2015.
- Ajzen, I., “The theory of planned behavior”, Organizational behavior and human decision processes. 50(2), 179-211, 1991.
- Lin, C.H., Shih, H.Y., and Sher, P.J., “Integrating technology readiness into technology acceptance: The TRAM model”, Psychology & Marketing, 24(7), 641-657, 2007.
Index Terms
Keywords