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Found 8 papers, 3 papers with code
Findings of the Shared Task on Troll Meme Classification in Tamil
On the other hand, this freedom of expression or free speech can be abused by its user or a troll to demean an individual or a group.
TrollsWithOpinion: A Dataset for Predicting Domain-specific Opinion Manipulation in Troll Memes
To enable this analysis, we enhanced an existing dataset by annotating the data with our defined classes, resulting in a dataset of 8, 881 IWT or multimodal memes in the English language (TrollsWithOpinion dataset).
DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Text
This paper describes the development of a multilingual, manually annotated dataset for three under-resourced Dravidian languages generated from social media comments.
NUIG at SemEval-2020 Task 12: Pseudo Labelling for Offensive Content Classification
This work is licensed under a Creative Commons Attribution 4. 0 International Licence.
A Sentiment Analysis Dataset for Code-Mixed Malayalam-English
However, very few resources are available for code-mixed data to create models specific for this data.
A Comparative Study of Different State-of-the-Art Hate Speech Detection Methods in Hindi-English Code-Mixed Data
Hate speech detection in social media communication has become one of the primary concerns to avoid conflicts and curb undesired activities.
Multimodal Meme Dataset (MultiOFF) for Identifying Offensive Content in Image and Text
Since there was no publicly available dataset for multimodal offensive meme content detection, we leveraged the memes related to the 2016 U. S. presidential election and created the MultiOFF multimodal meme dataset for offensive content detection dataset.
A Dataset for Troll Classification of TamilMemes
Social media are interactive platforms that facilitate the creation or sharing of information, ideas or other forms of expression among people.
