Abstract
This study assessed the discrepancies between reports from parents and children concerning children's exposure to violence/pornography on mobile devices and the impact on the psychosocial adjustment of children. Data were obtained from a sample of 2,230 parent-child dyads recruited from 16 elementary schools (1,140 dyads) in Taiwan and 9 schools (1,090 dyads) in China. A self-administered questionnaire was used. The results showed that about 30 percent of children reported being exposed to violence on mobile devices. Approximately 70 percent of their parents were unaware of their child's exposure to violence on mobile devices. About 16 percent of children reported exposure to pornography on mobile devices, and 80 percent of their parents were unaware of this exposure. Multinomial logistic regression results showed that after controlling for parent and child sociodemographic variables, factors related to parental unawareness of child exposure to violence on mobile devices included a child's ownership of mobile devices, smartphone/tablet use time, a lower level of parental understanding, and a residence in China or in a rural area, whereas the parent-child relationship and a child's smartphone/tablet use time were associated with parents who were unaware of their child's exposure to pornography. Multiple regression results showed that children who were living with household poverty, had a poor parent-child relationship, spent much time using a smartphone/tablet, and with parents who were unaware of their exposure to violence/pornography on mobile devices were more likely to have emotional and behavioral problems.
Original language | English |
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Pages (from-to) | 390-398 |
Number of pages | 9 |
Journal | Cyberpsychology, Behavior, and Social Networking |
Volume | 24 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2021 Jun 1 |
Keywords
- children
- mobile devices
- parents
- pornography
- violence
ASJC Scopus subject areas
- Social Psychology
- Communication
- Applied Psychology
- Human-Computer Interaction
- Computer Science Applications