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Averting and Countering Online Hatred.
Online social networks and microblogging websites have revolutionized communication, but have also seen an increase in online hate speech, which…
Effective detection is necessary because social media makes it possible for nasty information to spread across several modalities, including text,…
The identification of hate speech is an important issue, particularly on social media, where damaging information may spread rapidly. To…
The scientific study of hate speech from a computer science viewpoint has garnered prominence in recent years. Hate speech can…
Four distinct deep learning classifiers (CNN, BiLSTM, CNN-BiLSTM, and BiGRU) and three feature extraction methods (Keras word embedding, word2vec, and…
Browse and read from a list of the 260 most popular LinkedIn resources, including 10 audios and 14 videos, dealing…
Online hate speech is becoming a bigger problem, since hate crimes motivated by malevolent campaigns are on the rise in…
Social media hate speech is becoming a bigger problem that affects constructive dialogue. Effectively identifying and tracking hate speech is…
The potential of employing fine-tuned Large Language Models (LLMs) to produce counter-narratives (CNs) in order to counter hate speech (HS)…
The annotation bias in the underlying hate speech datasets used to train these models is known to cause bias against…
Hate speech propagates negativity and divisiveness online, undermining inclusivity. It is acknowledged that counterspeech can help lessen these negative effects.…
This article examines hate speech on the social media platform X directed at the Spanish meteorological governmental organization, AEMET. We…