Alone and lonely? How physical and perceived isolation can lead to problematic internet use.
Saved in:
| Title: | Alone and lonely? How physical and perceived isolation can lead to problematic internet use. |
|---|---|
| Authors: | Zhang Hao Goh, Tandoc, Edson C., Chan, Vanessa Xinyi |
| Source: | Behaviour & Information Technology. Dec2023, Vol. 42 Issue 15, p2588-2600. 13p. |
| Subjects: | Addictions -- Risk factors, Internet addiction, Structural equation modeling, Self-perception, Self-control, Discriminant analysis, Cognition, Social isolation, Risk assessment, Conceptual structures, Loneliness, Questionnaires, Online social networks, Scale analysis (Psychology), Descriptive statistics, Data analysis software, Longitudinal method |
| Geographic Terms: | Singapore |
| Abstract: | Although physical isolation measures can stem the spread of COVID-19, they can also heighten individuals' perceived isolation and feeling of loneliness, resulting in problematic internet use (PIU). However, studies have rarely investigated both the effects of physical and perceived isolation on PIU. Given the widespread availability and accessibility of digital communication technologies, it is difficult to conclude that the former may necessitate the latter inducing PIU. Using a two-wave longitudinal national survey in Singapore (n = 689), this study found that, at Time 1, both physical and perceived social isolation have direct and independent effects on internet users' preference for online social interaction (POSI), driving PIU. This, in turn, leads to their experience of negative outcomes at Time 2. The results highlight the importance of considering the independent effects of physical and perceived isolation in affecting POSI leading to PIU. [ABSTRACT FROM AUTHOR] |
| Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
Be the first to leave a comment!
