The family context in cybervictimization: A systematic review and meta-analysis

R Lozano-Blasco, A Barreiro-Collazo… - … Violence, & Abuse, 2024 - journals.sagepub.com
The use of Information and Communication Technologies is clearly widespread among
adolescents from a young age. Although it poses a significant contribution at the academic …

Culturellm: Incorporating cultural differences into large language models

C Li, M Chen, J Wang, S Sitaram, X Xie - arXiv preprint arXiv:2402.10946, 2024 - arxiv.org
Large language models (LLMs) are reported to be partial to certain cultures owing to the
training data dominance from the English corpora. Since multilingual cultural data are often …

Hindi fake news detection using transformer ensembles

A Praseed, J Rodrigues, PS Thilagam - Engineering Applications of …, 2023 - Elsevier
In the past few decades, due to the growth of social networking sites such as Whatsapp and
Facebook, information distribution has been at a level never seen before. Knowing the …

Attention-enabled ensemble deep learning models and their validation for depression detection: A domain adoption paradigm

J Singh, N Singh, MM Fouda, L Saba, JS Suri - Diagnostics, 2023 - mdpi.com
Depression is increasingly prevalent, leading to higher suicide risk. Depression detection
and sentimental analysis of text inputs in cross-domain frameworks are challenging. Solo …

What is the real intention behind this question? dataset collection and intention classification

MS Mirzaei, K Meshgi, S Sekine - … of the 61st Annual Meeting of …, 2023 - aclanthology.org
Asking and answering questions are inseparable parts of human social life. The primary
purposes of asking questions are to gain knowledge or request help which has been the …

[PDF][PDF] Cyberbullying-related hate speech detection using shallow-to-deep learning

D Sultan, A Toktarova, A Zhumadillayeva… - … Materials & Continua, 2023 - cdn.techscience.cn
Communication in society had developed within cultural and geographical boundaries prior
to the invention of digital technology. The latest advancements in communication technology …

Bd-shs: A benchmark dataset for learning to detect online bangla hate speech in different social contexts

N Romim, M Ahmed, MS Islam, AS Sharma… - arXiv preprint arXiv …, 2022 - arxiv.org
Social media platforms and online streaming services have spawned a new breed of Hate
Speech (HS). Due to the massive amount of user-generated content on these sites, modern …

Hate speech detection in social networks using machine learning and deep learning methods

A Toktarova, D Syrlybay… - International …, 2023 - search.proquest.com
Hate speech on social media platforms like Twitter is a growing concern that poses
challenges to maintaining a healthy online environment and fostering constructive …

Bengali fake reviews: A benchmark dataset and detection system

GM Shahariar, MTR Shawon, FM Shah, MS Alam… - Neurocomputing, 2024 - Elsevier
The proliferation of fake reviews on various online platforms has created a major concern for
both consumers and businesses. Such reviews can deceive customers and cause damage …

FACapsnet: A fusion capsule network with congruent attention for cyberbullying detection

F Wu, B Gao, X Pan, Z Su, Y Ji, S Liu, Z Liu - Neurocomputing, 2023 - Elsevier
As an extension of bullying on social networks, cyberbullying has seriously affected the
security of the online social environment and infringed on mental health. Taking appropriate …