Down the rabbit hole: Detecting online extremism, radicalisation, and politicised hate speech
Social media is a modern person's digital voice to project and engage with new ideas and
mobilise communities—a power shared with extremists. Given the societal risks of unvetted …
mobilise communities—a power shared with extremists. Given the societal risks of unvetted …
A unified deep learning architecture for abuse detection
Hate speech, offensive language, sexism, racism, and other types of abusive behavior have
become a common phenomenon in many online social media platforms. In recent years …
become a common phenomenon in many online social media platforms. In recent years …
A review of automated detection methods for cyberbullying
As we see the cyberspace evolve we also see a directly proportional growth of the people
using the cyberspace for communication. As a result, the misuse of the cyberspace has …
using the cyberspace for communication. As a result, the misuse of the cyberspace has …
Analyzing zero-shot transfer scenarios across spanish variants for hate speech detection
G Castillo-López, A Riabi… - Tenth Workshop on NLP for …, 2023 - aclanthology.org
Hate speech detection in online platforms has been widely studied inthe past. Most of these
works were conducted in English and afew rich-resource languages. Recent approaches …
works were conducted in English and afew rich-resource languages. Recent approaches …
Hate speech detection in Twitter using hybrid embeddings and improved cuckoo search-based neural networks
FE Ayo, O Folorunso, FT Ibharalu… - International Journal of …, 2020 - emerald.com
Purpose Hate speech is an expression of intense hatred. Twitter has become a popular
analytical tool for the prediction and monitoring of abusive behaviors. Hate speech detection …
analytical tool for the prediction and monitoring of abusive behaviors. Hate speech detection …
Unravelling social media racial discriminations through a semi-supervised approach
The study investigated cyber-racism on social media during the recent Coronavirus
pandemic using a semi-supervised approach. Specifically, several machine learning models …
pandemic using a semi-supervised approach. Specifically, several machine learning models …
Examining protest as an intervention to reduce online prejudice: A case study of prejudice against immigrants
There has been a growing concern about online users using social media to incite prejudice
and hatred against other individuals or groups. While there has been research in developing …
and hatred against other individuals or groups. While there has been research in developing …
[PDF][PDF] Psychosocial Features for Hate Speech Detection in Code-switched Texts
This study examines the problem of hate speech identification in codeswitched text from
social media using a natural language processing approach. It explores different features in …
social media using a natural language processing approach. It explores different features in …
[图书][B] [X] splaining Gender, Race, Class, and Body: Metapragmatic Disputes of Linguistic Authority and Ideologies on Twitter, Reddit, and Tumblr
JC Bridges - 2019 - search.proquest.com
This study investigates the language of “citizen sociolinguists,” everyday users of social
network sites (SNS) who contribute to the discourses about language on Twitter, Reddit, and …
network sites (SNS) who contribute to the discourses about language on Twitter, Reddit, and …
[PDF][PDF] Psychosocial Features for Identifying Hate Speech in Social Media Text
This study uses natural language processing to identify hate speech in social media
codeswitched text. It trains nine models and tests their predictiveness in recognizing hate …
codeswitched text. It trains nine models and tests their predictiveness in recognizing hate …