Frances E. Aboud, Colin Tredoux, Linda R. Tropp, Christia Spears Brown et al.
A systematic review was conducted of studies evaluating the effects of interventions aimed at reducing ethnic prejudice and discrimination in young children. Articles published between 1980 and 2010 and including children of 8 years and under were identified, harvested, and assessed for quality, bot...
Tanjim Mahmud, Michał Ptaszyński, Juuso Eronen, Fumito Masui
The struggle of social media platforms to moderate content in a timely manner, encourages users to abuse such platforms to spread vulgar or abusive language, which, when performed repeatedly becomes cyberbullying a social problem taking place in virtual environments, yet with real-world consequences...
Eliza Ahmed, Valerie Braithwaite
This study examined the relationships between forgiveness, reconciliation, shame and school bullying. The sample consisted of 1,875 Bangladeshi adolescents (60% girls) in grades 7 to 10 (M= 8.28). In a structural equation model, both forgiveness and reconciliation directly predicted less bullying. I...
Md. Manowarul Islam, Md. Ashraf Uddin, Linta Islam, Arnisha Akter et al.
The use of social media has grown exponentially over time with the growth of the Internet and has become the most influential networking platform in the 21st century. However, the enhancement of social connectivity often creates negative impacts on society that contribute to a couple of bad phenomen...
Shahnoor Chowdhury Eshan, Mohammad S. Hasan
Bengali abusive text detection can be useful to prevent cyberbullying and online harassment as these types of crimes are increasing rapidly in Bangladesh. Machine learning approach can be useful to keep the system always updated with the new types of approaches used by the abusers. This paper invest...
Kazi Saeed Alam, Shovan Bhowmik, Priyo Ranjan Kundu Prosun
Research on cyberbullying detection is gaining increasing attention in recent years as both individual victims and societies are greatly affected by it. Moreover, ease of access to social media platforms such as Facebook, Instagram, Twitter, etc. has led to an exponential increase in the mistreatmen...
Md. Tarek Hasan, Md. Al Emran Hossain, Md. Saddam Hossain Mukta, Arifa Akter et al.
Bullying is described as an undesirable behavior by others that harms an individual physically, mentally, or socially. Cyberbullying is a virtual form (e.g., textual or image) of bullying or harassment, also known as online bullying. Cyberbullying detection is a pressing need in today’s world, as th...
Puja Chakraborty, Md. Hanif Seddiqui
Threat and abusive languages spread quickly through social media which can be controlled if we can detect and remove them. Since there exist many social media like Facebook, Twitter, Instagram etc and a huge number of social media users, we need a robust and effective automatic system to identify th...
M. Blair Evans, Ashley Lauren Adler, Dany J. MacDonald, Jean Côté
PURPOSE: Bullying is a specific pattern of repeated victimization explored with great frequency in school-based literature, but receiving little attention within sport. The current study explored the prevalence of bullying in sport, and examined whether bullying experiences were associated with perc...
René T. Proyer, Willibald Ruch, Numan Ali, Hmoud Al-Olimat et al.
Abstract The current study examines whether the fear of being laughed at (gelotophobia) can be assessed reliably and validly by means of a self-report instrument in different countries of the world. All items of the GELOPH (Ruch and Titze, GELOPH〈46〉, University of Düsseldorf, 1998; Ruch and Proyer,...
Omar Sharif, Mohammed Moshiul Hoque
Md Irteja Islam, Rasheda Khanam, Enamul Kabir
The effects of bullying on mental health among adolescents are of major public health concern, especially following modern bullying methods that technologically victimize adolescents. However, the independent effects of different forms of bullying (traditional, cyberbullying or both) on different ty...
Fariha Tahosin Boishakhi, Ponkoj Chandra Shill, Md. Golam Rabiul Alam
With the continuous growth of internet users and media content, it is very hard to track down hateful speech in audio and video. Converting video or audio into text does not detect hate speech accurately as human sometimes uses hateful words as humorous or pleasant in sense and also uses different v...
Md Gulzar Hussain, Tamim Al Mahmud, Waheda Akthar
Maximum research work on abusive text detection is in the English language and some of these are to detect offensive text. But in Bangla language, a few work is found. Detecting abusive text in Bangla language will be useful for preventing cybercrime such as online harassment, blackmailing and cyber...
Md. Tofael Ahmed, Maqsudur Rahman, Shafayet Nur, A. K. M. Shoriful Islam et al.
Popularity of social media has increased rapidly and now it is very easy to interact with different persons across social media. As a result, cyberbullying towards people across social media has also increased. As cyberbullying can cause significant emotional and psychological distress, it should be...