Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

Investigating users’ experience on social media ads : perceptions of young users.

Al Qudah, Dana A. and Al-Shboul, Bashar and Al-Zoubi, Ala’ and Al-Sayyed, Rizik and Cristea, Alexandra I. (2020) 'Investigating users’ experience on social media ads : perceptions of young users.', Heliyon., 6 (7). e04378.

Abstract

Social media platforms changed from being socialization platforms to serve businesses through advertisements. This research aims at investigating active young users' experience with social media ads by studying the personalization and the usefulness of the ads, and the role of the host architecture of the used platform. The results prove that users' experience was affected by the designated variables: personalization, perceived usefulness, and the host architecture. Specifically, It was found that social media users find social media ads useful, and personalized, and that the perceived usefulness and personalization significantly affect the usage of host architecture which significantly affects users’ experience. Additionally, a significant difference is found between clusters of student answers in terms of personalization and perceived usefulness effect on user experience.

Item Type:Article
Full text:(VoR) Version of Record
Available under License - Creative Commons Attribution Non-commercial No Derivatives.
Download PDF
(830Kb)
Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1016/j.heliyon.2020.e04378
Publisher statement:© 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
Date accepted:29 June 2020
Date deposited:17 July 2020
Date of first online publication:12 July 2020
Date first made open access:17 July 2020

Save or Share this output

Export:
Export
Look up in GoogleScholar