網路偏差行為與被害特性及其影響因素之研究

Autor: 簡鳳容
Rok vydání: 2018
Druh dokumentu: 學位論文 ; thesis
Popis: 106
The main research objective is to understand the differences and similarities between cyber deviant behaviors and cyber victimizations among adolescent and adult groups through online surveyed data. In addition, this study aims to integrate contemporary criminological theories of informal social control, general strain, routine activities, and lifestyle exposure to investigate the effects of those theories on cyber deviant behaviors and cyber victimizations in adolescents and adults to construct a theoretical model for explaining why people committed deviant beahviors and had been victims in cyber world, respectively. Using secondary data collected in 2008 with 509 internet users, of whom 171 were adolescents (33.6%) and 338 were adults (66.4%), the results show that the most popular cyber deviant behaviors are "attacking others on the Internet with bad words" and "talking to netizens about pornography or embarrassment." In terms of cyber victimizations, the most popular types are "words/conflicts with friends," “malicious harassment by netizens,” and "stolen materials/network treasures" among those surveyed respondents. At the same time, the results indicate that the adolescents ' experiences of cyber deviant behaviors and cyber victimizations are significantly higher than their counterparts of adult group. In terms of Pearson’s Correlation analysis, the results show that there is an overlap between cyber deviant behaviors and cyber victimizations in adolescents and adults, suggesting cyber deviants and cyber victims have significantly similar characteristics. Moreover, the variables of low self-control, general stress, and online situational opportunities are significantly correlated with cyber deviant behaviors and cyber victimizations among adolescents and adults, respectively. The results of Multiple Regression Analysis show that, on one hand, education level, low self-control, online life style and online situational opportunities produce a significant influence on adolescents’ cyber deviation behavior and cyber victimization, while only the variable of low self-control produces a significant influence on adolescents’ cyber deviant behaviors. On the other hand, gender, online situational opportunities and cyber victimizations have a significant influence on adults’ cyber deviant behaviors, whereas the significant factors affecting their cyber victimizations are the variables of occupation, low self-control, cyber lifestyle and cyber deviant behaviors. As for the theoretical model constructions, the results of SEM indicate that low self-control, online life style, and online situational opportunities produce significant and direct influences on cyber deviant behaviors and cyber victimizations, whereas attachment and general stress only produce indirect influences both on cyber deviant behaviors and cyber victimization Overall, based on the research results, recommendations for cyber deviant behaviors and cyber victimizations prevention strategies are given as follows : (1) Since the influence of self-control is significant but indirective, increasing the level of informal social control is the first step to prevent the probability of being cyber deviants and cyber victims; (2) Solving the cyber deviant behaviors and cyber victimizations should be induced by the individual's ban on Internet addiction dependence; (3) Strengthening online educations and risk identifications is warranted; (4) Cyber use tools should increase the cyber interaction crisis identification mechanism; (5) Effectively manage the cyber situations to reduce the incentives for the occurrence of cyber deviation and negative incentives; (6) Adopting appropriate prevention strategies based on the commonalities and differences of different age groups; (7) Attentions should be paid more on those high-risk individuals with overlapping deviations and victims; (8) Comprehensive consideration of cyber deviantbehavior and cyber victimization factors to construction of prevention networks. The recommendations for future research also have been provided in final.
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