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Hate speech - Social Data Analysis

This research is motivated by a dual motivation: first, to bring out the contours of hate speech and define its distribution and effects with finer clarity; second, to draw on those understandings to be able to foster digital spaces that inculcate open and respectful discursive cultures, which are not marred by the negativity of hatred and bias. At the centre of this aspiration lies the hope to reveal and dissect the patterns of bias that constitute hate speech in the statements of different contexts, regions, and on different digital platforms. It will be important to underline, in light of this review, the characteristics of hate speech against women, viewed against the backdrop of regional specificities.

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What’s Utilised:

Algorithms

NLP Models

BERT Models

Coding Languages

Python

HTML

CSS

JavaScript

 
Softwares - Libraries

Tableau

Tensor Flow

Matplotlib

Scikit Learn

Vite

Pandas

Numpy

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