A review of text style transfer using deep learning
Style is an integral component of a sentence indicated by the choice of words a person
makes. Different people have different ways of expressing themselves; however, they adjust …
makes. Different people have different ways of expressing themselves; however, they adjust …
[HTML][HTML] Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach
Abstract Analysis of subjective texts like offensive content or hate speech is a great
challenge, especially regarding annotation process. Most of current annotation procedures …
challenge, especially regarding annotation process. Most of current annotation procedures …
Impact of politically biased data on hate speech classification
One challenge that social media platforms are facing nowadays is hate speech. Hence,
automatic hate speech detection has been increasingly researched in recent years-in …
automatic hate speech detection has been increasingly researched in recent years-in …
Multi-contextual learning in disinformation research: A review of challenges, approaches, and opportunities
B Das - Online Social Networks and Media, 2023 - Elsevier
Though a fair amount of research is being done to address disinformation in online social
media, it has so far managed to stay ahead of the researchers' learning curves forcing the …
media, it has so far managed to stay ahead of the researchers' learning curves forcing the …
Understanding and interpreting the impact of user context in hate speech detection
As hate speech spreads on social media and online communities, research continues to
work on its automatic detection. Recently, recognition performance has been increasing …
work on its automatic detection. Recently, recognition performance has been increasing …
Offensive language identification in low-resourced code-mixed dravidian languages using pseudo-labeling
Social media has effectively become the prime hub of communication and digital marketing.
As these platforms enable the free manifestation of thoughts and facts in text, images and …
As these platforms enable the free manifestation of thoughts and facts in text, images and …
Automatic identification of harmful, aggressive, abusive, and offensive language on the web: A survey of technical biases informed by psychology literature
The automatic detection of conflictual languages (harmful, aggressive, abusive, and
offensive languages) is essential to provide a healthy conversation environment on the Web …
offensive languages) is essential to provide a healthy conversation environment on the Web …
[PDF][PDF] Benchmarking post-hoc interpretability approaches for transformer-based misogyny detection
Warning: This paper contains examples of language that some people may find offensive.
Transformer-based Natural Language Processing models have become the standard for …
Transformer-based Natural Language Processing models have become the standard for …
Multimodal deep learning with discriminant descriptors for offensive memes detection
A meme is a visual representation that illustrates a thought or concept. Memes are
spreading steadily among people in this era of rapidly expanding social media platforms …
spreading steadily among people in this era of rapidly expanding social media platforms …
JudithJeyafreeda@ LT-EDI-2023: Using GPT model for recognition of Homophobia/Transphobia detection from social media
JJ Andrew - Proceedings of the Third Workshop on Language …, 2023 - aclanthology.org
Homophobia and Transphobia is defined as hatred or discomfort towards Gay, Lesbian,
Transgender or Bisexual people. With the increase in social media, communication has …
Transgender or Bisexual people. With the increase in social media, communication has …