The interplay between social media use and problematic internet usage: Four behavioral patterns
<h3>Objective</h3><p dir="ltr">The study aims to identify typical interplay between the use of social media apps on smartphones and Problematic Internet Usage (PIU).</p><h3>Method</h3><p dir="ltr">Our study utilizes data from a smartphone...
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2023
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| _version_ | 1864513529362513920 |
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| author | Khansa Chemnad (17346994) |
| author2 | Maryam Aziz (15865175) Samir Brahim Belhaouari (9427347) Raian Ali (12066006) |
| author2_role | author author author |
| author_facet | Khansa Chemnad (17346994) Maryam Aziz (15865175) Samir Brahim Belhaouari (9427347) Raian Ali (12066006) |
| author_role | author |
| dc.creator.none.fl_str_mv | Khansa Chemnad (17346994) Maryam Aziz (15865175) Samir Brahim Belhaouari (9427347) Raian Ali (12066006) |
| dc.date.none.fl_str_mv | 2023-04-24T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.heliyon.2023.e15745 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/The_interplay_between_social_media_use_and_problematic_internet_usage_Four_behavioral_patterns/25059734 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Cybersecurity and privacy Problematic internet usage Smartphone usage Social media use Cyber behaviour |
| dc.title.none.fl_str_mv | The interplay between social media use and problematic internet usage: Four behavioral patterns |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <h3>Objective</h3><p dir="ltr">The study aims to identify typical interplay between the use of social media apps on smartphones and Problematic Internet Usage (PIU).</p><h3>Method</h3><p dir="ltr">Our study utilizes data from a smartphone app that objectively monitors user usage, including the apps used and the start and finish times of each app session. This study included 334 participants who declared a need to be aware of their smartphone usage and control it. Problematic Internet Usage (PIU) was measured using the Problematic Internet Use Questionnaire-Short Form-6 (PIUQ-SF6). The total PIU score can range from 6 to 30, with a score above 15 indicating that a person is at risk of PIU. Time spent on Social Media (SM) apps of Facebook, WhatsApp, and Instagram, and whether people used each of these apps were studied along with the total PIU score. K-Prototype clustering was utilized for the analysis.</p><h3>Results</h3><p dir="ltr">Four distinct clusters, typifying the relationship between social media use and PIU, were identified. All the individuals in Cluster 1 (Light SM Use Cluster; Cluster size = 270, 80.84% of total dataset) spent between 0 and 109.01 min on Instagram, between 0 and 69.84 min on Facebook, and between 0 and 86.42 min on WhatsApp and its median PIU score was 17. Those who were in cluster 2 (Highly Visual SM Cluster; Cluster size = 23, 6.89% of total dataset) all used Instagram, and each member spent between 110 and 307.63 min on Instagram daily. The cluster median PIU score and average daily usage of Instagram were respectively 20 and 159.66 min. Those who were in Cluster 3 (Conversational SM Cluster; Cluster size = 19, 5.69% of total dataset) all used WhatsApp, and spent between 76.68 and 225.22 min on WhatsApp daily. The cluster median PIU score and average time spent per day on WhatsApp were 20 and 132.65 min, respectively. Those who were in Cluster 4 (Social Networking Cluster; (Cluster size = 22, 6.59% of total dataset) all used Facebook, and each spent between 73.09 and 272.85 min daily on Facebook. The cluster median PIU score and average time spent per day on Facebook were 18 and 133.61 min respectively.</p><h3>Conclusion</h3><p dir="ltr">The clusters indicate that those who use a particular social media app spend significantly less time on other social media apps. This indicates that problematic attachment to social media occurs primarily for one of three reasons: visual content and reels, conversations with peers, or surfing network content and news. This finding will help tailor interventions to fit each cluster, for example by strengthening interpersonal skills and resistance to peer pressure in the case of Cluster 3 and increasing impulse control in the case of Cluster 2.</p><h2>Other Information</h2><p dir="ltr">Published in: Heliyon<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.heliyon.2023.e15745" target="_blank">https://dx.doi.org/10.1016/j.heliyon.2023.e15745</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_235889c8340e6e55e5d3f2e38fab05c4 |
| identifier_str_mv | 10.1016/j.heliyon.2023.e15745 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25059734 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | The interplay between social media use and problematic internet usage: Four behavioral patternsKhansa Chemnad (17346994)Maryam Aziz (15865175)Samir Brahim Belhaouari (9427347)Raian Ali (12066006)Information and computing sciencesCybersecurity and privacyProblematic internet usageSmartphone usageSocial media useCyber behaviour<h3>Objective</h3><p dir="ltr">The study aims to identify typical interplay between the use of social media apps on smartphones and Problematic Internet Usage (PIU).</p><h3>Method</h3><p dir="ltr">Our study utilizes data from a smartphone app that objectively monitors user usage, including the apps used and the start and finish times of each app session. This study included 334 participants who declared a need to be aware of their smartphone usage and control it. Problematic Internet Usage (PIU) was measured using the Problematic Internet Use Questionnaire-Short Form-6 (PIUQ-SF6). The total PIU score can range from 6 to 30, with a score above 15 indicating that a person is at risk of PIU. Time spent on Social Media (SM) apps of Facebook, WhatsApp, and Instagram, and whether people used each of these apps were studied along with the total PIU score. K-Prototype clustering was utilized for the analysis.</p><h3>Results</h3><p dir="ltr">Four distinct clusters, typifying the relationship between social media use and PIU, were identified. All the individuals in Cluster 1 (Light SM Use Cluster; Cluster size = 270, 80.84% of total dataset) spent between 0 and 109.01 min on Instagram, between 0 and 69.84 min on Facebook, and between 0 and 86.42 min on WhatsApp and its median PIU score was 17. Those who were in cluster 2 (Highly Visual SM Cluster; Cluster size = 23, 6.89% of total dataset) all used Instagram, and each member spent between 110 and 307.63 min on Instagram daily. The cluster median PIU score and average daily usage of Instagram were respectively 20 and 159.66 min. Those who were in Cluster 3 (Conversational SM Cluster; Cluster size = 19, 5.69% of total dataset) all used WhatsApp, and spent between 76.68 and 225.22 min on WhatsApp daily. The cluster median PIU score and average time spent per day on WhatsApp were 20 and 132.65 min, respectively. Those who were in Cluster 4 (Social Networking Cluster; (Cluster size = 22, 6.59% of total dataset) all used Facebook, and each spent between 73.09 and 272.85 min daily on Facebook. The cluster median PIU score and average time spent per day on Facebook were 18 and 133.61 min respectively.</p><h3>Conclusion</h3><p dir="ltr">The clusters indicate that those who use a particular social media app spend significantly less time on other social media apps. This indicates that problematic attachment to social media occurs primarily for one of three reasons: visual content and reels, conversations with peers, or surfing network content and news. This finding will help tailor interventions to fit each cluster, for example by strengthening interpersonal skills and resistance to peer pressure in the case of Cluster 3 and increasing impulse control in the case of Cluster 2.</p><h2>Other Information</h2><p dir="ltr">Published in: Heliyon<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.heliyon.2023.e15745" target="_blank">https://dx.doi.org/10.1016/j.heliyon.2023.e15745</a></p>2023-04-24T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.heliyon.2023.e15745https://figshare.com/articles/journal_contribution/The_interplay_between_social_media_use_and_problematic_internet_usage_Four_behavioral_patterns/25059734CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/250597342023-04-24T03:00:00Z |
| spellingShingle | The interplay between social media use and problematic internet usage: Four behavioral patterns Khansa Chemnad (17346994) Information and computing sciences Cybersecurity and privacy Problematic internet usage Smartphone usage Social media use Cyber behaviour |
| status_str | publishedVersion |
| title | The interplay between social media use and problematic internet usage: Four behavioral patterns |
| title_full | The interplay between social media use and problematic internet usage: Four behavioral patterns |
| title_fullStr | The interplay between social media use and problematic internet usage: Four behavioral patterns |
| title_full_unstemmed | The interplay between social media use and problematic internet usage: Four behavioral patterns |
| title_short | The interplay between social media use and problematic internet usage: Four behavioral patterns |
| title_sort | The interplay between social media use and problematic internet usage: Four behavioral patterns |
| topic | Information and computing sciences Cybersecurity and privacy Problematic internet usage Smartphone usage Social media use Cyber behaviour |