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Effects of internet addiction scores on informational search by undergraduate students

Phil Reed Orcid Logo, Martin Graff Orcid Logo

Telematics and Informatics Reports, Volume: 12, Start page: 100102

Swansea University Author: Phil Reed Orcid Logo

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DOI (Published version): 10.1016/j.teler.2023.100102

Abstract

The study examined the relationship between internet addiction and university students’ use of a network to gain information. Two hundred undergraduate students (aged 18–21 years) were recruited from Science, Social Science, and Arts faculties. They each had 30 min to browse one of two network archi...

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Published in: Telematics and Informatics Reports
ISSN: 2772-5030
Published: Elsevier BV 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa64620
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last_indexed 2023-09-26T09:41:55Z
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spelling v2 64620 2023-09-26 Effects of internet addiction scores on informational search by undergraduate students 100599ab189b514fdf99f9b4cb477a83 0000-0002-8157-0747 Phil Reed Phil Reed true false 2023-09-26 HPS The study examined the relationship between internet addiction and university students’ use of a network to gain information. Two hundred undergraduate students (aged 18–21 years) were recruited from Science, Social Science, and Arts faculties. They each had 30 min to browse one of two network architectures: a simple hierarchal structure, or a complex relational structure. After the session, they took a test on the content of the network, completed the Internet Addiction Test (IAT), and were asked about their time spent on the internet. There was no effect of university faculty (subject) on any of the results. More pages were revisited using the hierarchical than the relational network structure. However, there were interactions between levels of internet addiction (IAT score) and the type of network. Participants who had lower IAT scores, exposed to hierarchical network, visited a greater proportion of pages, revisited fewer pages, and achieved higher test scores, than lower IAT scorers exposed to the relational network. However, participants with higher IAT scores showed little difference in performance between the networks. There was little impact of IAT score on performance on hierarchical networks, but performance on relational networks improved as IAT scores increased. These data suggest that simple hierarchical networks are better for those with lower internet addiction (as measured by low IAT scores), but there is little difference in network for those with higher internet addiction (higher IAT scores). Journal Article Telematics and Informatics Reports 12 100102 Elsevier BV 2772-5030 Internet addiction, Browsing strategy, Network structure, Hierarchical network, Relational network 31 12 2023 2023-12-31 10.1016/j.teler.2023.100102 http://dx.doi.org/10.1016/j.teler.2023.100102 COLLEGE NANME Psychology COLLEGE CODE HPS Swansea University Not Required 2023-10-19T16:23:31.3146759 2023-09-26T10:40:06.9004983 Faculty of Medicine, Health and Life Sciences School of Psychology Phil Reed 0000-0002-8157-0747 1 Martin Graff 0000-0002-2122-4092 2 64620__28836__687db55db1024a2c99a0b8540db8c186.pdf 64620.VOR.pdf 2023-10-19T15:48:49.0297157 Output 1025543 application/pdf Version of Record true © 2023 The Author(s). Published by Elsevier B.V. Distributed under the terms of a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). true eng http://creativecommons.org/licenses/by-nc-nd/4.0/
title Effects of internet addiction scores on informational search by undergraduate students
spellingShingle Effects of internet addiction scores on informational search by undergraduate students
Phil Reed
title_short Effects of internet addiction scores on informational search by undergraduate students
title_full Effects of internet addiction scores on informational search by undergraduate students
title_fullStr Effects of internet addiction scores on informational search by undergraduate students
title_full_unstemmed Effects of internet addiction scores on informational search by undergraduate students
title_sort Effects of internet addiction scores on informational search by undergraduate students
author_id_str_mv 100599ab189b514fdf99f9b4cb477a83
author_id_fullname_str_mv 100599ab189b514fdf99f9b4cb477a83_***_Phil Reed
author Phil Reed
author2 Phil Reed
Martin Graff
format Journal article
container_title Telematics and Informatics Reports
container_volume 12
container_start_page 100102
publishDate 2023
institution Swansea University
issn 2772-5030
doi_str_mv 10.1016/j.teler.2023.100102
publisher Elsevier BV
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str School of Psychology{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}School of Psychology
url http://dx.doi.org/10.1016/j.teler.2023.100102
document_store_str 1
active_str 0
description The study examined the relationship between internet addiction and university students’ use of a network to gain information. Two hundred undergraduate students (aged 18–21 years) were recruited from Science, Social Science, and Arts faculties. They each had 30 min to browse one of two network architectures: a simple hierarchal structure, or a complex relational structure. After the session, they took a test on the content of the network, completed the Internet Addiction Test (IAT), and were asked about their time spent on the internet. There was no effect of university faculty (subject) on any of the results. More pages were revisited using the hierarchical than the relational network structure. However, there were interactions between levels of internet addiction (IAT score) and the type of network. Participants who had lower IAT scores, exposed to hierarchical network, visited a greater proportion of pages, revisited fewer pages, and achieved higher test scores, than lower IAT scorers exposed to the relational network. However, participants with higher IAT scores showed little difference in performance between the networks. There was little impact of IAT score on performance on hierarchical networks, but performance on relational networks improved as IAT scores increased. These data suggest that simple hierarchical networks are better for those with lower internet addiction (as measured by low IAT scores), but there is little difference in network for those with higher internet addiction (higher IAT scores).
published_date 2023-12-31T16:23:32Z
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score 11.03559

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