Hate Me Not: Detecting Hate Inducing Memes in Code Switched Languages
The rise in the number of social media users has led to an increase in the hateful content posted online. In countries like India, where multiple languages are spoken, these abhorrent posts are from an unusual blend of code-switched languages. This hate speech is depicted with the help of images to...
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Zusammenfassung: | The rise in the number of social media users has led to an increase in the
hateful content posted online. In countries like India, where multiple
languages are spoken, these abhorrent posts are from an unusual blend of
code-switched languages. This hate speech is depicted with the help of images
to form "Memes" which create a long-lasting impact on the human mind. In this
paper, we take up the task of hate and offense detection from multimodal data,
i.e. images (Memes) that contain text in code-switched languages. We firstly
present a novel triply annotated Indian political Memes (IPM) dataset, which
comprises memes from various Indian political events that have taken place
post-independence and are classified into three distinct categories. We also
propose a binary-channelled CNN cum LSTM based model to process the images
using the CNN model and text using the LSTM model to get state-of-the-art
results for this task. |
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DOI: | 10.48550/arxiv.2204.11356 |