[HTML][HTML] A systematic review of hate speech automatic detection using natural language processing
MS Jahan, M Oussalah - Neurocomputing, 2023 - Elsevier
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 …
A literature survey on multimodal and multilingual automatic hate speech identification
A Chhabra, DK Vishwakarma - Multimedia Systems, 2023 - Springer
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 …
Are they our brothers? analysis and detection of religious hate speech in the arabic twittersphere
Religious hate speech in the Arabic Twittersphere is a notable problem that requires
developing automated tools to detect messages that use inflammatory sectarian language to …
developing automated tools to detect messages that use inflammatory sectarian language to …
[PDF][PDF] Detection of hate speech in social networks: a survey on multilingual corpus
A Al-Hassan, H Al-Dossari - 6th international conference on …, 2019 - academia.edu
In social media platforms, hate speech can be a reason of “cyber conflict” which can affect
social life in both of individual-level and country-level. Hateful and antagonistic content …
social life in both of individual-level and country-level. Hateful and antagonistic content …
A new deep learning-based methodology for video deepfake detection using XGBoost
Currently, face-swapping deepfake techniques are widely spread, generating a significant
number of highly realistic fake videos that threaten the privacy of people and countries. Due …
number of highly realistic fake videos that threaten the privacy of people and countries. Due …
A survey of offensive language detection for the Arabic language
F Husain, O Uzuner - ACM Transactions on Asian and Low-Resource …, 2021 - dl.acm.org
The use of offensive language in user-generated content is a serious problem that needs to
be addressed with the latest technology. The field of Natural Language Processing (NLP) …
be addressed with the latest technology. The field of Natural Language Processing (NLP) …
Online extremism detection: A systematic literature review with emphasis on datasets, classification techniques, validation methods, and tools
M Gaikwad, S Ahirrao, S Phansalkar, K Kotecha - Ieee Access, 2021 - ieeexplore.ieee.org
Social media platforms are popular for expressing personal views, emotions and beliefs.
Social media platforms are influential for propagating extremist ideologies for group …
Social media platforms are influential for propagating extremist ideologies for group …
Toxic language in online incel communities
The internet-based incel subculture has evolved over the past decade on a number of
different platforms. The subculture is known to be toxic and has become associated with …
different platforms. The subculture is known to be toxic and has become associated with …
[PDF][PDF] Jumanji Extremism? How games and gamification could facilitate radicalization processes
L Schlegel - Journal for Deradicalization, 2020 - academia.edu
While the last years have seen increased engagement with gaming in relation to extremist
attacks, its potential role in facilitating radicalization has received less attention than other …
attacks, its potential role in facilitating radicalization has received less attention than other …
The need to refocus on the group as the site of radicalization
LGE Smith, L Blackwood… - … on Psychological Science, 2020 - journals.sagepub.com
The past decade has witnessed burgeoning efforts among governments to prevent people
from developing a commitment to violent extremism (conceived of as a process of …
from developing a commitment to violent extremism (conceived of as a process of …