A browser extension that utilizes sentiment analysis to find and highlight constructive comments on various social media platforms that oppose the users worldview in order to encourage them to break out of the echo chambers the internet has allowed us to construct.
Computational Social Science Project: "Algorithmic Bias in Echo Chamber Formation".
People Recommender Systems in Opinion Dynamics models
Mapping Echo Chambers In Large Networks
Repository to reproduce "Cascade-based Echo Chamber Detection" accepted at CIKM2022
Companion repository for the paper "I Want to Break Free! Recommending Friends from Outside the Echo Chamber" accepted at RecSys 2021
Flask web application that facilitates intellectual conversation between users with different backgrounds with a KMeans cluster matching algorithm to help mitigate any bias seen in social media echo chambers.
A parallel algorithm to compute the Random Walk Controversy score of a network.
Network analysis experiment on echo-chamber relative to COVID-19 tweets.
Discretionary Exposure to Political Information
Master Thesis (e4 RCP) - Echo Chamber Detection in Social Media
Investigating the possibilities of echo chambers in Retrieval Augmented Generation (RAG)
Network analysis experiment on echo-chamber relative to COVID-19 tweets.
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