Am I Being Bullied on Social Media? An Ensemble Approach to Categorize Cyberbullying

Author(s):  
Tasnim Ahmed ◽  
Mohsinul Kabir ◽  
Shahriar Ivan ◽  
Hasan Mahmud ◽  
Kamrul Hasan
2021 ◽  
Author(s):  
Md Anawar Hossen Wadud ◽  
Md Ashraf Uddin

Abstract The popularity of social media has exploded worldwide over the last few decades and becomes the most preferred mode of social interaction. The internet also provides a new platform through which adolescents are being bullied. Appropriate means of cyberbullying detection is still partial and in some cases very limited. Moreover, research on cyberbullying detection extensively focuses on surveys and its psychological impacts on victims. However, prevention has not been widely addressed. To bridge the gap, this paper aims to detect cyberbullying efficiently. This paper employs a standard machine learning method and natural language processing technique as a part of the detection process in decentralized Blockchain leveraged architecture. We provide a fog based architecture for cyberbullying detection, aiming at relieving the server's load by placing the detection and the prevention of cyberbullying processes at the fog layer. The proposal might offer a probable solution to save users, particularly adolescents from severe consequences of cyberbullying.


2021 ◽  
Author(s):  
Pradeep Jayasuriya ◽  
Ranjiva Munasinghe ◽  
Samantha Thelijjagoda

2020 ◽  
Author(s):  
Helen Coughlan ◽  
David Quin ◽  
Kevin O'Brien ◽  
Jack Deacon ◽  
Naoise Kavanagh ◽  
...  

BACKGROUND Mental ill-health is one of the most significant health and social issues affecting young people globally. To address the mental health crisis a number of cross-sectoral research and action priorities have been identified. These include the adoption of meaningful knowledge transfer activities and the use of digital technologies. There are, however, few examples of knowledge transfer activities involving collaborations between researchers, the Arts and online platforms in the field of youth mental health. OBJECTIVE The primary aim of this project was to translate qualitative research findings from into a series of online public mental health animations targeting young people between the ages of 16 and 25 years. A further aim was to track online social media engagement and viewing data for the animations for a period of 12 months. METHODS Qualitative data were collected from a sample of 17 Irish youth aged 18-21 years as part of the longitudinal population-based Adolescent Brain Development study. Interviews explored the life histories and the emotional and mental health of participants. Narrative analysis revealed five thematic findings relating to young people’s emotional and mental health. Through a collaboration between research, the Arts and the online sector, these empirical thematic findings were translated into five public health animations. The animations were hosted and promoted on three social media platforms of the Irish youth health website, SpunOut.ie. Engagement and viewing data were collected over a 12-month period. RESULTS Thematic analysis revealed that anxiety, depression, feeling different, loneliness and being bullied were common experiences for young people. These thematic findings formed the basis of the animations. During the 12 months following the launch of the animations, they achieved over 550,000 impressions on the SpunOut.ie Facebook, Twitter and YouTube platforms. The animations were viewed almost 16,000 times. A majority of engagement and views occurred during the period of the social media ad campaign at a cost of 3.5 cent per view. There was a low rate of link clicks from social media platforms to the host website during the promotion period. Animations on feeling different and being bullied accounted for the majority of impressions and views. CONCLUSIONS This project demonstrates that online animations provide an accessible means of translating and sharing empirical research findings and are a cost-effective way to provide information about mental health, coping and help-seeking. Cross-sectoral collaboration is required to leverage the knowledge and expertise required to maximise the quality and potential reach of any knowledge transfer activities. Additionally, paid promotion is essential to reach non-help-seeking young people on their native social media platforms and is important in maximising the reach and impact of online public health promotion.


2020 ◽  
Author(s):  
Ricky Indra Alfaray ◽  
Yusuf Ibrahim ◽  
Rafiqy Sa’adiy Faizun ◽  
Laily Irfana

Abstract BackgroundSocial media had eased communication among people in the last twenty years. However, the ease of being constantly connected also lead to problems, including social media addiction and social media bullying. Association between these two problems has not been researched extensively in Indonesia. Indonesia is the fourth most populous country in the world and said to be the most social media-addicted nation. Approximately 50% of the population is categorized as Youth Generation (Generation Y and Z) who consider social media as a necessity in their daily lives. We conducted this nation-wide study to examine the correlation between social media addiction and the experience of being bullied in a social media platform in Indonesian youth.MethodsAn observational analytic study with a cross sectional design was conducted with a total of 1403 respondents. The samples were collected via consecutive sampling on Instagram. To determine social media addiction, the standard Social Media Disorder (SMD) Scale was used and the experience of being bullied is evaluated using a self-made questionnaire. Chi-square and Coefficient contingency analysis is used to determine the correlation.ResultsAlmost half of the respondents (n = 671, 47.9%) are classified as addicted to social media. More than half of the respondents claimed to have experienced bullying when interacting with people via social media (n = 923, 66%). Analyzing the two nominal independent variables results in a weak yet significant correlation (r = 0.097, p = 0.032).ConclusionThere is a significant correlation between social media addiction and the experience of being bullied in a social media platform in Indonesian youth. Future research are needed to help government prevents social media addiction that proved has correlation with bullying.


2020 ◽  
Author(s):  
Md Anawar Hossen Wadud ◽  
Md Ashraf Uddin ◽  
Shamima Parvez ◽  
Mohammad Motiur Rahman ◽  
Ammar Alazab ◽  
...  

Abstract The popularity of social media has exploded worldwide over the last few decades and becomes the most preferred mode of social interaction. The internet also provides a new platform through which adolescents are being bullied. Appropriate means of cyberbullying detection is still partial and in some cases very limited. Moreover, research on cyberbullying detection extensively focuses on surveys and its psychological impacts on victims. However, prevention has not been widely addressed. To bridge the gap, this paper aims to detect cyberbullying efficiently. This paper employs a standard machine learning method and natural language processing technique as a part of the detection process in decentralized Blockchain leveraged architecture. We provide a fog based architecture for cyberbullying detection, aiming at relieving the server's load by placing the detection and the prevention of cyberbullying processes at the fog layer. The proposal might offer a probable solution to save users, particularly adolescents from severe consequences of cyberbullying.


ASHA Leader ◽  
2015 ◽  
Vol 20 (7) ◽  
Author(s):  
Vicki Clarke
Keyword(s):  

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