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Develop a model to measure the ethical effects of students through social media use

Social media users can be negatively affected by cyber harassment. These effects can cause emotional distress and lead people to stop using social network sites or to end their life. In addition, the users of this technology usually get upset when network providers interfere and consider such interf...

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Main Authors: Moafa, Fahad Abdullah, Ahmad, Kamsuriah, Al-Rahmi, Waleed Mugahed, Yahaya, Noraffandy, Kamin, Yusri, M. Alamri, Mahdi
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2018
Subjects:
L Education (General)
Online Access:http://eprints.utm.my/id/eprint/84532/1/WaleedMugahedAlRahmi2018_DevelopaModeltoMeasuretheEthicalEffects.pdf
http://eprints.utm.my/id/eprint/84532/
http://dx.doi.org/10.1109/ACCESS.2018.2866525
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spelling my.utm.845322020-01-11T07:32:17Z http://eprints.utm.my/id/eprint/84532/ Develop a model to measure the ethical effects of students through social media use Moafa, Fahad Abdullah Ahmad, Kamsuriah Al-Rahmi, Waleed Mugahed Yahaya, Noraffandy Kamin, Yusri M. Alamri, Mahdi L Education (General) Social media users can be negatively affected by cyber harassment. These effects can cause emotional distress and lead people to stop using social network sites or to end their life. In addition, the users of this technology usually get upset when network providers interfere and consider such interference to be unfair. Therefore, this paper attempted to mitigate the gap in the literature concerning the use of social media for engaging in cyber harassment in the context of higher education. Therefore, the main objective was to develop a model that will bridge this gap. The model developed in this paper is based on the unified theory of acceptance and use of technology, theory of planned behavior, and technology support. To achieve the study's objectives, a questionnaire was used as the main data collection method, and it was distributed to 340 students who used social media. This paper argues that these decisions of interference can be handled by employing a method that users find sufficient and appropriate. In conclusion, this research specifically proposes a model for identifying the significant factors that are anticipated to play major roles in minimizing cyber harassment among Saudi students. The proposed model will help administrations and decision makers to formulate strategies that can significantly affect anti-cyber harassment among students. Institute of Electrical and Electronics Engineers Inc. 2018-09-16 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/84532/1/WaleedMugahedAlRahmi2018_DevelopaModeltoMeasuretheEthicalEffects.pdf Moafa, Fahad Abdullah and Ahmad, Kamsuriah and Al-Rahmi, Waleed Mugahed and Yahaya, Noraffandy and Kamin, Yusri and M. Alamri, Mahdi (2018) Develop a model to measure the ethical effects of students through social media use. IEEE Access, 6 (846694). pp. 56685-56699. ISSN 2169-3536 http://dx.doi.org/10.1109/ACCESS.2018.2866525 DOI:10.1109/ACCESS.2018.2866525
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic L Education (General)
spellingShingle L Education (General)
Moafa, Fahad Abdullah
Ahmad, Kamsuriah
Al-Rahmi, Waleed Mugahed
Yahaya, Noraffandy
Kamin, Yusri
M. Alamri, Mahdi
Develop a model to measure the ethical effects of students through social media use
description Social media users can be negatively affected by cyber harassment. These effects can cause emotional distress and lead people to stop using social network sites or to end their life. In addition, the users of this technology usually get upset when network providers interfere and consider such interference to be unfair. Therefore, this paper attempted to mitigate the gap in the literature concerning the use of social media for engaging in cyber harassment in the context of higher education. Therefore, the main objective was to develop a model that will bridge this gap. The model developed in this paper is based on the unified theory of acceptance and use of technology, theory of planned behavior, and technology support. To achieve the study's objectives, a questionnaire was used as the main data collection method, and it was distributed to 340 students who used social media. This paper argues that these decisions of interference can be handled by employing a method that users find sufficient and appropriate. In conclusion, this research specifically proposes a model for identifying the significant factors that are anticipated to play major roles in minimizing cyber harassment among Saudi students. The proposed model will help administrations and decision makers to formulate strategies that can significantly affect anti-cyber harassment among students.
format Article
author Moafa, Fahad Abdullah
Ahmad, Kamsuriah
Al-Rahmi, Waleed Mugahed
Yahaya, Noraffandy
Kamin, Yusri
M. Alamri, Mahdi
author_facet Moafa, Fahad Abdullah
Ahmad, Kamsuriah
Al-Rahmi, Waleed Mugahed
Yahaya, Noraffandy
Kamin, Yusri
M. Alamri, Mahdi
author_sort Moafa, Fahad Abdullah
title Develop a model to measure the ethical effects of students through social media use
title_short Develop a model to measure the ethical effects of students through social media use
title_full Develop a model to measure the ethical effects of students through social media use
title_fullStr Develop a model to measure the ethical effects of students through social media use
title_full_unstemmed Develop a model to measure the ethical effects of students through social media use
title_sort develop a model to measure the ethical effects of students through social media use
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2018
url http://eprints.utm.my/id/eprint/84532/1/WaleedMugahedAlRahmi2018_DevelopaModeltoMeasuretheEthicalEffects.pdf
http://eprints.utm.my/id/eprint/84532/
http://dx.doi.org/10.1109/ACCESS.2018.2866525
_version_ 1657487667519029248
score 13.211869

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