Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/5659
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dc.contributor.authorProf. LEUNG Wing Chi, Louisen_US
dc.date.accessioned2019-03-08T01:32:11Z-
dc.date.available2019-03-08T01:32:11Z-
dc.date.issued2014-
dc.identifier.citationHealth Psychology and Behavioral Medicine, 2014, vol. 2(1), pp. 424-439.en_US
dc.identifier.issn2164-2850-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/5659-
dc.descriptionOpen Accessen_US
dc.description.abstractThis study used longitudinal panel survey data collected from 417 adolescents at 2 points in time 1 year apart. It examined relationships between Internet risks changes in Time 2 and social media gratifications-sought, Internet addiction symptoms, and social media use all measured at Time 1. By controlling for age, gender, education, and criterion variable scores in Internet addiction at Time 1, entertainment and instant messaging use at Time 1 significantly predicted increased Internet addiction measured at Time 2. The study also controlled for demographics and scores of criterion variables in Internet risks: targeted for harassment, privacy exposed, and pornographic or violent content consumed in Time 1. Gratifications-sought (including status-gaining, expressing opinions, and identity experimentation), Internet addiction symptoms (including withdrawal and negative life consequences), and social media use (in particular, blogs, and Facebook) significantly predicted Internet risk changes in Time 2. These findings suggest that, with their predictive power, these predictors at Time 1 could be used to identify those adolescents who are likely to develop Internet addiction symptoms and the likelihood of experiencing Internet risks based on their previous gratifications-sought, previous addiction symptoms, and their habits of social media use at Time 1.en_US
dc.language.isoenen_US
dc.relation.ispartofHealth Psychology and Behavioral Medicineen_US
dc.titlePredicting Internet risks: A longitudinal panel study of gratifications-sought, Internet addiction symptoms, and social media use among children and adolescentsen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.1080/21642850.2014.902316-
item.fulltextWith Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Journalism & Communication - Publication
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