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[HTML][HTML] A systematic review of hate speech automatic detection using natural language processing
With the multiplication of social media platforms, which offer anonymity, easy access and
online community formation and online debate, the issue of hate speech detection and …
online community formation and online debate, the issue of hate speech detection and …
Resources and benchmark corpora for hate speech detection: a systematic review
Hate Speech in social media is a complex phenomenon, whose detection has recently
gained significant traction in the Natural Language Processing community, as attested by …
gained significant traction in the Natural Language Processing community, as attested by …
GPT is an effective tool for multilingual psychological text analysis
The social and behavioral sciences have been increasingly using automated text analysis to
measure psychological constructs in text. We explore whether GPT, the large-language …
measure psychological constructs in text. We explore whether GPT, the large-language …
Culturellm: Incorporating cultural differences into large language models
Large language models (LLMs) have been observed to exhibit bias towards certain cultures
due to the predominance of training data obtained from English corpora. Considering that …
due to the predominance of training data obtained from English corpora. Considering that …
SemEval-2022 task 5: Multimedia automatic misogyny identification
The paper describes the SemEval-2022 Task 5: Multimedia Automatic Misogyny
Identification (MAMI), which explores the detection of misogynous memes on the web by …
Identification (MAMI), which explores the detection of misogynous memes on the web by …
Kuisail at semeval-2020 task 12: Bert-cnn for offensive speech identification in social media
In this paper, we describe our approach to utilize pre-trained BERT models with
Convolutional Neural Networks for sub-task A of the Multilingual Offensive Language …
Convolutional Neural Networks for sub-task A of the Multilingual Offensive Language …
Directions in abusive language training data, a systematic review: Garbage in, garbage out
Data-driven and machine learning based approaches for detecting, categorising and
measuring abusive content such as hate speech and harassment have gained traction due …
measuring abusive content such as hate speech and harassment have gained traction due …
A literature survey on multimodal and multilingual automatic hate speech identification
Social media is a more common and powerful platform for communication to share views
about any topic or article, which consequently leads to unstructured toxic, and hateful …
about any topic or article, which consequently leads to unstructured toxic, and hateful …
Towards generalisable hate speech detection: a review on obstacles and solutions
Hate speech is one type of harmful online content which directly attacks or promotes hate
towards a group or an individual member based on their actual or perceived aspects of …
towards a group or an individual member based on their actual or perceived aspects of …
Overview of the shared task on hope speech detection for equality, diversity, and inclusion
Hope Speech detection is the task of classifying a sentence as hope speech or non-hope
speech given a corpus of sentences. Hope speech is any message or content that is …
speech given a corpus of sentences. Hope speech is any message or content that is …