Results 231 to 240 of about 884,547 (279)

The Best of Times at the Worst of Times: How Adults Respond to a Brief Intervention (RETURN) to Increase Planned Dental Visiting

open access: yesCommunity Dentistry and Oral Epidemiology, EarlyView.
ABSTRACT Although acute health crises can disrupt routines and open a window for behaviour change, these teachable moments are rarely harnessed by intervention designs. The RETURN intervention (comprising a dental nurse‐led conversation, short peer videos and booklets supporting knowledge, skills and action‐planning) aimed to change planned dental ...
R. V. Harris   +5 more
wiley   +1 more source

‘Talk to Us, Not About Us’: Children's Understandings and Experiences of Participation in Australian Family Law

open access: yesChild &Family Social Work, EarlyView.
ABSTRACT A hive of recent policy and legislative activity in Australian family law has emphasized the importance of children's right to participate in decision‐making following parental separation. Yet a powerful tension persists between supporting children's right to participation and protecting children from parental conflict.
Georgina Dimopoulos   +3 more
wiley   +1 more source

Hate Speech or Hate Shot?

2023
Nowadays, the Muslim community is one of the most discriminated groups in Europe. Anti-Islam hate speeches circulate online and offline especially through the intense use social media, fake news, bots, and click-baiting practices. However even if Muslim discriminatory practices have been gaining more media relevance in the recent years, anti-Muslim ...
openaire   +2 more sources

STATE ToxiCN: A Benchmark for Span-level Target-Aware Toxicity Extraction in Chinese Hate Speech Detection

Annual Meeting of the Association for Computational Linguistics
The proliferation of hate speech has caused significant harm to society. The intensity and directionality of hate are closely tied to the target and argument it is associated with.
Zewen Bai   +7 more
semanticscholar   +1 more source

HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns

USENIX Security Symposium
Large Language Models (LLMs) have raised increasing concerns about their misuse in generating hate speech. Among all the efforts to address this issue, hate speech detectors play a crucial role.
Xinyue Shen   +5 more
semanticscholar   +1 more source

An Annotated Corpus of Arabic Tweets for Hate Speech Analysis

Recent Advances in Natural Language Processing
Identifying hate speech content in the Arabic language is challenging due to the rich quality of dialectal variations. This study introduces a multilabel hate speech dataset in the Arabic language. We have collected 10000 Arabic tweets and annotated each
W. Zaghouani, Md. Rafiul Biswas
semanticscholar   +1 more source

Hate Speech

2021
Abstract This chapter highlights hate speech, which is abusive speech that targets members of certain groups—typically minority groups—including racial groups, ethnic groups, religious groups, and groups defined on the basis of sexual orientation.
openaire   +2 more sources

Hate Speech Detection Research in South Asian Languages: A Survey of Tasks, Datasets and Methods

ACM Trans. Asian Low Resour. Lang. Inf. Process.
Social media has over the years emerged as a powerful platform for communicating and sharing views, thoughts, and opinions. However, at the same time it is being abused by certain individuals to spread hate against individuals, communities, religions ...
Deepawali Sharma   +3 more
semanticscholar   +1 more source

AfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African Languages

North American Chapter of the Association for Computational Linguistics
Hate speech and abusive language are global phenomena that need socio-cultural background knowledge to be understood, identified, and moderated. However, in many regions of the Global South, there have been several documented occurrences of (1) absence ...
Shamsuddeen Hassan Muhammad   +26 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy