All one needs to know about metaverse: A complete survey on technological singularity, virtual ecosystem, and research agenda

LH Lee, T Braud, PY Zhou, L Wang… - … and trends® in …, 2024 - nowpublishers.com
Since the popularisation of the Internet in the 1990s, the cyberspace has kept evolving. We
have created various computer-mediated virtual environments, including social networks …

Social media usage and development of psychiatric disorders in childhood and adolescence: a review

I Cataldo, B Lepri, MJY Neoh, G Esposito - Frontiers in Psychiatry, 2021 - frontiersin.org
Social media platforms, such as Facebook, Twitter, and Instagram, are now part of almost
everyone's social life, especially for the newer generations. Children and teenagers grew up …

Towards future internet: The metaverse perspective for diverse industrial applications

P Bhattacharya, D Saraswat, D Savaliya, S Sanghavi… - Mathematics, 2023 - mdpi.com
The Metaverse allows the integration of physical and digital versions of users, processes,
and environments where entities communicate, transact, and socialize. With the shift …

A comparative analysis of machine learning techniques for cyberbullying detection on twitter

A Muneer, SM Fati - Future Internet, 2020 - mdpi.com
The advent of social media, particularly Twitter, raises many issues due to a
misunderstanding regarding the concept of freedom of speech. One of these issues is …

[HTML][HTML] Cyberbullying research—Alignment to sustainable development and impact of COVID-19: Bibliometrics and science mapping analysis

K Achuthan, VK Nair, R Kowalski… - Computers in Human …, 2023 - Elsevier
The explosive growth and online media usage have transformed the communication
landscape globally. Social media platforms have become a thriving ground for online …

A survey on multimodal disinformation detection

F Alam, S Cresci, T Chakraborty, F Silvestri… - arXiv preprint arXiv …, 2021 - arxiv.org
Recent years have witnessed the proliferation of offensive content online such as fake news,
propaganda, misinformation, and disinformation. While initially this was mostly about textual …

Why so toxic? measuring and triggering toxic behavior in open-domain chatbots

WM Si, M Backes, J Blackburn, E De Cristofaro… - Proceedings of the …, 2022 - dl.acm.org
Chatbots are used in many applications, eg, automated agents, smart home assistants,
interactive characters in online games, etc. Therefore, it is crucial to ensure they do not …

A multichannel deep learning framework for cyberbullying detection on social media

M Alotaibi, B Alotaibi, A Razaque - Electronics, 2021 - mdpi.com
Online social networks (OSNs) play an integral role in facilitating social interaction; however,
these social networks increase antisocial behavior, such as cyberbullying, hate speech, and …

Sosnet: A graph convolutional network approach to fine-grained cyberbullying detection

J Wang, K Fu, CT Lu - … Conference on Big Data (Big Data), 2020 - ieeexplore.ieee.org
Amidst the COVID-19 pandemic, cyberbullying has become an even more serious threat.
Our work aims to investigate the viability of an automatic multiclass cyberbullying detection …

A human-centered systematic literature review of cyberbullying detection algorithms

S Kim, A Razi, G Stringhini, PJ Wisniewski… - Proceedings of the …, 2021 - dl.acm.org
Cyberbullying is a growing problem across social media platforms, inflicting short and long-
lasting effects on victims. To mitigate this problem, research has looked into building …