Hate speech detection: A comprehensive review of recent works
There has been surge in the usage of Internet as well as social media platforms which has
led to rise in online hate speech targeted on individual or group. In the recent years, hate …
led to rise in online hate speech targeted on individual or group. In the recent years, hate …
A deep learning-based framework for offensive text detection in unstructured data for heterogeneous social media
Social media such as Facebook, Instagram, and Twitter are powerful and essential platforms
where people express and share their ideas, knowledge, talents, and abilities with others …
where people express and share their ideas, knowledge, talents, and abilities with others …
MemeTector: Enforcing deep focus for meme detection
Image memes and specifically their widely known variation image macros are a special new
media type that combines text with images and are used in social media to playfully or subtly …
media type that combines text with images and are used in social media to playfully or subtly …
An Inter-modal Attention Framework for Multimodal Offense Detection
In recent years, posting offensive content on social media platforms has increased, and
memes play a vital role in continuing this trend. Memes usually come in multimodal forms …
memes play a vital role in continuing this trend. Memes usually come in multimodal forms …
Puer at SemEval-2024 Task 4: Fine-tuning Pre-trained Language Models for Meme Persuasion Technique Detection
J Dao, Z Li, Y Su, W Gong - … of the 18th International Workshop on …, 2024 - aclanthology.org
The paper summarizes our research on multilingual detection of persuasion techniques in
memes for the SemEval-2024 Task 4. Our work focused on English-Subtask 1, implemented …
memes for the SemEval-2024 Task 4. Our work focused on English-Subtask 1, implemented …