Browsing by Author "Pattanapong Pothipasa"

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    LGBTQ Cyberbullying on Online Learning Platforms Among University Students
    (International Journal of Cyber Criminology, 2021) Pannee Suanpang; Jatupon dongjit; Titiya Netwong; Pattanapong Pothipasa; P. Suanpang; Suan Dusit University, Thailand; email: pannee_sua@dusit.ac.th
    Cyberbullying is a type of cybercrime that has become a new phenomenon, rapidly increasing on the cyberspace, as it utilizes the Internet technology to harass people, especially among teenagers and youth on online learning platforms. This study aimed to analyze the factors influencing LGBTQ cyberbullying on online learning platforms among university students in Thailand. A quantitative research design was used to collect data from 400 university students in Thailand through questionnaires. The data were analyzed through a structural equation model. The results found that most Thai students had a low level of cyberbullying behavior, as they respected each other, especially LGBTQ students. Moreover, there were three major factors comprising demographics, the situation, and online learning platform behavior that had a significant direct effect on the outcome of LGBTQ cyberbullying victims. The demographic factors (gender, motivation, psychology, and technology using behavior) had a direct effect on the situation factors (perceived support, parental involvement, and university climate and environment), and a direct effect on online learning platform factors (teachers, classmates, dialog of online learning, group work, and relationship between classmates and the teacher). Moreover, the LGBTQ online learning platform factor had a direct effect on the outcome of cyberbullying (social equality, mindset, intellect, physical, and society). The relative Chi-square (_2 / df) of 1.194 indicated that the model was suitable. The comparative fit index (CFI) was 0.991, the goodness of fit index (GFI) was 0.971, and the model based on the research hypothesis was consistent with the empirical data. The root mean square error of approximation (RMSEA) was 0.022. © 2020. International Journal of Cyber Criminology
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    Policies and Platforms for Fake News Filtering on Cybercrime in Smart City Using Artificial Intelligence and Blockchain Technology
    (International Journal of Cyber Criminology, 2021) Pannee Suanpang; Pattanapong Pothipasa; Titiya Netwrong; P. Pothipasa; Sisaket Rajabhat University, Thailand; email: ppothil68@gmail.com
    In this era of technological disruption, as city dwellers change into smart city inhabitants, the perception of information via digital channels is becoming more prevalent and used for decision-making and lifestyle choices. However, the perception of fake news or social media has resulted in poor decision-making and anxiety among smart city residents. Recognizing the importance of filtering false information for the smart city population, this research proposed a policy and platform for filtering false information to be presented to the citizens of Sisaket Smart City, Thailand; this was to ensure the efficient and secure use of large amounts of citizens' information, as well as information exchange between agencies. Additionally, the study was designed to kick-start the use of information in a smart city to make it more efficient and capable of filtering out material that could have harmful consequences or fake news. Recognizing its significance, the researchers proposed building regulations and platforms for detecting and filtering fake news in smart cities using artificial intelligence and blockchain technology. The findings indicated that urban inhabitants who moved into Thailand's smart cities, such as Sisaket, were highly receptive to the employment of rules and platforms to filter fake news. © 2020. International Journal of Cyber Criminology (Diamond Open Access Journal). Under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License