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Detecting multilingual hate speech targeting immigrants and women on Twitter
Twitter has experienced a tremendous surge in popularity over recent years, establishing
itself as a prominent social media platform with a large user base. However, with this …
itself as a prominent social media platform with a large user base. However, with this …
Ethio-fake: Cutting-edge approaches to combat fake news in under-resourced languages using explainable ai
The proliferation of fake news has emerged as a significant threat to the integrity of
information dissemination, particularly on social media platforms. Misinformation can spread …
information dissemination, particularly on social media platforms. Misinformation can spread …
[PDF][PDF] Hope speech in social media texts using transformer
GY Bade, O Koleniskova, JL Oropeza… - Proceedings of the …, 2024 - ceur-ws.org
Abstract Systems to regulate and remove hateful, abusive, and offensive content from the
internet have been developed in the last several years. But occasionally, those in positions …
internet have been developed in the last several years. But occasionally, those in positions …
Social media hate and offensive speech detection using machine learning method
Even though the improper use of social media is increasing nowadays, there is also
technology that brings solutions. Here, improperness is posting hate and offensive speech …
technology that brings solutions. Here, improperness is posting hate and offensive speech …
Habesha@ dravidianlangtech 2024: Detecting fake news detection in dravidian languages using deep learning
This research tackles the issue of fake news by utilizing the RNN-LSTM deep learning
method with optimized hyperparameters identified through grid search. The model's …
method with optimized hyperparameters identified through grid search. The model's …
Semantic-Driven Topic Modeling Using Transformer-Based Embeddings and Clustering Algorithms
Topic modeling is a powerful technique to discover hidden topics and patterns within a
collection of documents without prior knowledge. Traditional topic modeling and clustering …
collection of documents without prior knowledge. Traditional topic modeling and clustering …
Ethio-fake: Cutting-edge approaches to combat fake news in under-resourced languages using explainable ai
The proliferation of fake news has emerged as a significant threat to the integrity of
information dissemination, particularly on social media platforms. Misinformation can spread …
information dissemination, particularly on social media platforms. Misinformation can spread …
Selam@ dravidianlangtech 2024: Identifying hate speech and offensive language
Social media has transformed into a powerful tool for sharing information while upholding
the principle of free expression. However, this open platform has given rise to significant …
the principle of free expression. However, this open platform has given rise to significant …
Odio-BERT: Evaluating domain task impact in hate speech detection
The rise of social media and micro-blogging platforms has led to concerns about hate
speech, its potential to incite violence, psychological trauma, extremist beliefs, and self …
speech, its potential to incite violence, psychological trauma, extremist beliefs, and self …
Social media fake news classification using machine learning algorithm
The rise of social media has facilitated easier communication, information sharing, and
current affairs updates. However, the prevalence of misleading and deceptive content …
current affairs updates. However, the prevalence of misleading and deceptive content …