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What Derives People to use Reporting Functions on Social Networks?

Omer Alrwais, Elham Alhodaib in Information Sciences

International Journal of Applied Information Systems
Year of Publication: 2019
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:Omer Alrwais, Elham Alhodaib
10.5120/ijais2019451830
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  1. Omer Alrwais and Elham Alhodaib. What Derives People to use Reporting Functions on Social Networks?. International Journal of Applied Information Systems 12(25):10-16, November 2019. URL, DOI BibTeX

    @article{10.5120/ijais2019451830,
    	author = "Omer Alrwais and Elham Alhodaib",
    	title = "What Derives People to use Reporting Functions on Social Networks?",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "November, 2019",
    	volume = 12,
    	number = 25,
    	month = "November",
    	year = 2019,
    	issn = "2249-0868",
    	pages = "10-16",
    	url = "http://www.ijais.org/archives/volume12/number25/1070-2019451830",
    	doi = "10.5120/ijais2019451830",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"
    }
    

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.

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Keywords

Reporting functions, Social networks, Online abuse, Technology Acceptance Model