[HTML][HTML] Session-based cyberbullying detection in social media: A survey
Cyberbullying is a pervasive problem in online social media, where a bully abuses a victim
through a social media session. By investigating cyberbullying perpetrated through social …
through a social media session. By investigating cyberbullying perpetrated through social …
Overview of the hasoc subtrack at fire 2021: Hate speech and offensive content identification in english and indo-aryan languages and conversational hate speech
The HASOC track is dedicated to the evaluation of technology for finding Offensive
Language and Hate Speech. HASOC is creating a multilingual data corpus mainly for …
Language and Hate Speech. HASOC is creating a multilingual data corpus mainly for …
A human-centered systematic literature review of the computational approaches for online sexual risk detection
In the era of big data and artificial intelligence, online risk detection has become a popular
research topic. From detecting online harassment to the sexual predation of youth, the state …
research topic. From detecting online harassment to the sexual predation of youth, the state …
Arabic offensive and hate speech detection using a cross-corpora multi-task learning model
As social media platforms offer a medium for opinion expression, social phenomena such as
hatred, offensive language, racism, and all forms of verbal violence have increased …
hatred, offensive language, racism, and all forms of verbal violence have increased …
Hate towards the political opponent: A Twitter corpus study of the 2020 US elections on the basis of offensive speech and stance detection
L Grimminger, R Klinger - arXiv preprint arXiv:2103.01664, 2021 - arxiv.org
The 2020 US Elections have been, more than ever before, characterized by social media
campaigns and mutual accusations. We investigate in this paper if this manifests also in …
campaigns and mutual accusations. We investigate in this paper if this manifests also in …
Towards comprehensive cyberbullying detection: A dataset incorporating aggressive texts, repetition, peerness, and intent to harm
The increasing usage of social media networks has raised concerns about the growing
frequency of cyberbullying incidents. The definition of cyberbullying lacks universal …
frequency of cyberbullying incidents. The definition of cyberbullying lacks universal …
When the timeline meets the pipeline: A survey on automated cyberbullying detection
Web 2.0 helped user-generated platforms to spread widely. Unfortunately, it also allowed for
cyberbullying to spread. Cyberbullying has negative effects that could lead to cases of …
cyberbullying to spread. Cyberbullying has negative effects that could lead to cases of …
Overview of the hasoc subtrack at fire 2021: Hate speech and offensive content identification in english and indo-aryan languages
The widespread of offensive content online such as hate speech poses a growing societal
problem. AI tools are necessary for supporting the moderation process at online platforms …
problem. AI tools are necessary for supporting the moderation process at online platforms …
Online dating as context to design sexual consent technology with women and lgbtq+ stakeholders
D Zytko, N Furlo - Proceedings of the 2023 CHI Conference on Human …, 2023 - dl.acm.org
This paper uses online dating as a context to explore futures for sexual consent technology:
systems that mediate how partners exchange consent in order to prevent nonconsensual …
systems that mediate how partners exchange consent in order to prevent nonconsensual …
[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 …
to the invention of digital technology. The latest advancements in communication technology …