The University of Southampton
University of Southampton Institutional Repository

Modeling Twitter acceptance and use under the risk of antisocial behavior

Modeling Twitter acceptance and use under the risk of antisocial behavior
Modeling Twitter acceptance and use under the risk of antisocial behavior
The problem of online antisocial behavior is increasingly attracting public attention and is compromising the quality of online communities. Previous research on online hostility looked at different aspects of the problem such as its definition, classification, or studying specific case studies, however, the impact is still not clear. In this paper, we propose a new model to investigate the impact of antisocial behavior online, the model is based on the Unified Theory of Acceptance and Use of Technology (UTAUT), our model integrates the perception of antisocial behavior as a risk factor along with other factors drawn from sociology. Initial validation of our model was conducted through expert reviews, the reviews include interviews with experts from computer science, sociology, and psychology, who were asked to consider its application to Twitter (as one of the controversial cyberspaces when it comes to antisocial behavior). The results of both quantitative and qualitative analysis of the expert reviews show strong support to the proposed model.
312-314
Almuhanna, Nora
7e8de9a6-3c79-4988-b510-0a3c1b268942
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
Millard, David
4f19bca5-80dc-4533-a101-89a5a0e3b372
Almuhanna, Nora
7e8de9a6-3c79-4988-b510-0a3c1b268942
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
Millard, David
4f19bca5-80dc-4533-a101-89a5a0e3b372

Almuhanna, Nora, Hall, Wendy and Millard, David (2016) Modeling Twitter acceptance and use under the risk of antisocial behavior. WebSci '16 the 8th ACM Conference on Web Science, Germany. 22 - 25 May 2016. pp. 312-314 . (doi:10.1145/2908131.2908182).

Record type: Conference or Workshop Item (Paper)

Abstract

The problem of online antisocial behavior is increasingly attracting public attention and is compromising the quality of online communities. Previous research on online hostility looked at different aspects of the problem such as its definition, classification, or studying specific case studies, however, the impact is still not clear. In this paper, we propose a new model to investigate the impact of antisocial behavior online, the model is based on the Unified Theory of Acceptance and Use of Technology (UTAUT), our model integrates the perception of antisocial behavior as a risk factor along with other factors drawn from sociology. Initial validation of our model was conducted through expert reviews, the reviews include interviews with experts from computer science, sociology, and psychology, who were asked to consider its application to Twitter (as one of the controversial cyberspaces when it comes to antisocial behavior). The results of both quantitative and qualitative analysis of the expert reviews show strong support to the proposed model.

Text
websci16 Extended Abstract Modeling Twitter Use and acceptance under risk Camera-ready.pdf - Accepted Manuscript
Download (379kB)

More information

Published date: 22 May 2016
Venue - Dates: WebSci '16 the 8th ACM Conference on Web Science, Germany, 2016-05-22 - 2016-05-25
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 397207
URI: https://eprints.soton.ac.uk/id/eprint/397207
PURE UUID: 0a65a370-0f55-43ea-9df3-6f147e5c7c63
ORCID for Wendy Hall: ORCID iD orcid.org/0000-0003-4327-7811
ORCID for David Millard: ORCID iD orcid.org/0000-0002-7512-2710

Catalogue record

Date deposited: 30 Jun 2016 09:21
Last modified: 20 Jul 2019 01:29

Export record

Altmetrics

Contributors

Author: Nora Almuhanna
Author: Wendy Hall ORCID iD
Author: David Millard ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×