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Cyberbullying detection for low-resource languages and dialects: Review of the state of the art
The struggle of social media platforms to moderate content in a timely manner, encourages
users to abuse such platforms to spread vulgar or abusive language, which, when …
users to abuse such platforms to spread vulgar or abusive language, which, when …
[HTML][HTML] BERT models for Arabic text classification: a systematic review
Bidirectional Encoder Representations from Transformers (BERT) has gained increasing
attention from researchers and practitioners as it has proven to be an invaluable technique …
attention from researchers and practitioners as it has proven to be an invaluable technique …
Advances in machine learning algorithms for hate speech detection in social media: a review
The aim of this paper is to review machine learning (ML) algorithms and techniques for hate
speech detection in social media (SM). Hate speech problem is normally model as a text …
speech detection in social media (SM). Hate speech problem is normally model as a text …
Racism detection by analyzing differential opinions through sentiment analysis of tweets using stacked ensemble gcr-nn model
With social media's dominating role in the socio-political landscape, several existing and
new forms of racism took place on social media. Racism has emerged on social media in …
new forms of racism took place on social media. Racism has emerged on social media in …
Abmm: Arabic bert-mini model for hate-speech detection on social media
Hate speech towards a group or an individual based on their perceived identity, such as
ethnicity, religion, or nationality, is widely and rapidly spreading on social media platforms …
ethnicity, religion, or nationality, is widely and rapidly spreading on social media platforms …
Artificial Intelligence‐Based Approach for Misogyny and Sarcasm Detection from Arabic Texts
Social media networking is a prominent topic in real life, particularly at the current moment.
The impact of comments has been investigated in several studies. Twitter, Facebook, and …
The impact of comments has been investigated in several studies. Twitter, Facebook, and …
Roman Urdu hate speech detection using transformer-based model for cyber security applications
Social media applications, such as Twitter and Facebook, allow users to communicate and
share their thoughts, status updates, opinions, photographs, and videos around the globe …
share their thoughts, status updates, opinions, photographs, and videos around the globe …
[HTML][HTML] Arabic toxic tweet classification: leveraging the arabert model
Social media platforms have become the primary means of communication and information
sharing, facilitating interactive exchanges among users. Unfortunately, these platforms also …
sharing, facilitating interactive exchanges among users. Unfortunately, these platforms also …
[HTML][HTML] Detection of hate speech in covid-19–related tweets in the arab region: Deep learning and topic modeling approach
Background The massive scale of social media platforms requires an automatic solution for
detecting hate speech. These automatic solutions will help reduce the need for manual …
detecting hate speech. These automatic solutions will help reduce the need for manual …
Hate speech detection using natural language processing: Applications and challenges
The internet has become a common platform for everyone to share their ideas and opinions.
The user has freedom to post whatever he/she likes in social networking and blogging sites …
The user has freedom to post whatever he/she likes in social networking and blogging sites …