Socially responsible ai algorithms: Issues, purposes, and challenges

L Cheng, KR Varshney, H Liu - Journal of Artificial Intelligence Research, 2021 - jair.org
In the current era, people and society have grown increasingly reliant on artificial
intelligence (AI) technologies. AI has the potential to drive us towards a future in which all of …

Xbully: Cyberbullying detection within a multi-modal context

L Cheng, J Li, YN Silva, DL Hall, H Liu - … on web search and data mining, 2019 - dl.acm.org
Over the last decade, research has revealed the high prevalence of cyberbullying among
youth and raised serious concerns in society. Information on the social media platforms …

A systematic review on design-based nudges for adolescent online safety

Z Agha, NS Ali, J Park, PJ Wisniewski - International Journal of Child …, 2024 - Elsevier
Within the realm of digital spaces, much of the nudging research has focused on general
populations, which may not be applicable to nudges for adolescents, as minors are often …

Multilingual cyberbullying detection system

R Pawar, RR Raje - 2019 IEEE international conference on …, 2019 - ieeexplore.ieee.org
As the use of social media has evolved in recent times, so has the ability to cyberbully
victims using it. The last decade has witnessed a surge of cyberbullying-this bullying is not …

PI-bully: Personalized cyberbullying detection with peer influence

L Cheng, J Li, Y Silva, D Hall, H Liu - The 28th International Joint …, 2019 - par.nsf.gov
Cyberbullying has become one of the most pressing online risks for adolescents and has
raised serious concerns in society. Recent years have witnessed a surge in research aimed …

Detection of cyberbullying on social media using machine learning

V Jain, V Kumar, V Pal… - 2021 5th international …, 2021 - ieeexplore.ieee.org
Cyberbullying is a major problem encountered on internet that affects teenagers and also
adults. It has lead to mishappenings like suicide and depression. Regulation of content on …

Taxonomy of cyberbullying detection and prediction techniques in online social networks

M Vyawahare, M Chatterjee - … and Networks: Proceedings of GUCON 2019, 2020 - Springer
Online social networking sites have become very popular in this era due to easy
accessibility of Internet. This popularity leads to continuous availability of multiple users …

BullyBlocker: toward an interdisciplinary approach to identify cyberbullying

YN Silva, DL Hall, C Rich - Social Network Analysis and Mining, 2018 - Springer
Cyberbullying is the deliberate use of online digital media to communicate false,
embarrassing, or hostile information about another person. It is the most common online risk …

Cyberbullying detection: an ensemble learning approach

PK Roy, A Singh, AK Tripathy… - International Journal of …, 2022 - inderscienceonline.com
Online social networking platforms have become a common choice for people to
communicate with friends, relatives, or business partners. This allows sharing life …

A mobile-based system for preventing online abuse and cyberbullying

S Salawu, J Lumsden, Y He - International journal of bullying prevention, 2022 - Springer
A negative consequence of the proliferation of social media is the increase in online abuse.
Bullying, once restricted to the playground, has found a new home on social media. Online …