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University Students’ Perspectives Of Visual-Based Cyberbullying On Instagram, Li-Min Huang
University Students’ Perspectives Of Visual-Based Cyberbullying On Instagram, Li-Min Huang
Doctoral Dissertations
Researchers have been investigating the cyberbullying phenomenon since the early 21st century. There is a substantial body of cyberbullying studies focused on text-based formats. However, studies revealed that visual-based social media platforms are more powerful than text-based platforms in affecting people’s emotions, causing significant psychological impact. Young adults ages 18-29 use visual-based social media heavily in their daily lives; therefore, visual cyberbullying on various sites has become a critical issue for this generation. Yet, the majority of existing cyberbullying studies focused on age groups under 18. The studies that did investigate this phenomenon among young adults focused mainly on text-based …
The Impact Of #Metoo On Reasons For Sexual Assault Disclosure, Cheryl H. Tien
The Impact Of #Metoo On Reasons For Sexual Assault Disclosure, Cheryl H. Tien
Doctoral Dissertations
Sexual assault is a long-standing widespread problem. Yet, despite the high prevalence of sexual assault, it is the most underreported crime of all crimes reported to the police (Bureau of Justice, 2018). The #MeToo movement has had a significant impact on the way in which sexual assault survivors disclose their experiences and the reasons they disclose. Disclosure appears to be an important factor in survivors’ healing from their assault, with increasing coping, greater attachment to others, and positive growth cited as effects of disclosure provided that the response to the disclosure is positive to the survivor (Ahrens & Aldana, 2012; …
Social Media Analytics With Applications In Disaster Management And Covid-19 Events, Md Yasin Kabir
Social Media Analytics With Applications In Disaster Management And Covid-19 Events, Md Yasin Kabir
Doctoral Dissertations
"Social media such as Twitter offers a tremendous amount of data throughout an event or a disastrous situation. Leveraging social media data during a disaster is beneficial for effective and efficient disaster management. Information extraction, trend identification, and determining public reactions might help in the future disaster or even avert such an event. However, during a disaster situation, a robust system is required that can be deployed faster and process relevant information with satisfactory performance in real-time. This work outlines the research contributions toward developing such an effective system for disaster management, where it is paramount to develop automated machine-enabled …