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".
Repository to reproduce "Cascade-based Echo Chamber Detection" accepted at CIKM2022
Mapping Echo Chambers In Large Networks
People Recommender Systems in Opinion Dynamics models
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.
Sample codes used in the study of echo-chambers in Mastodon 🌐
Master Thesis (e4 RCP) - Echo Chamber Detection in Social Media
Discretionary Exposure to Political Information
A 3D globe where your circle’s commits spark beams of light across the world.
Code developed for : Darenne, L. (2024). Propositions pour l'identification, la modélisation et la quantification des chambres d’écho : Expérimentation sur un corpus de commentaires YouTube. Master Thesis, Institut National des Langues et Civilisations Orientales.
TrueLens Pro is a 100% client-side web utility for cognitive bias assessment, source verification, and narrative spin deconstruction. Companion tool for "Why people only trust news that agrees with them?" at do-essential.net.
A prototype social media algorithm for a school project
Browserplugin zur Sensibilisierung vor Hass und Diskriminierung im Internet. Rein Client-Side, ohne Geschwindigkeitsverlust des Browsers oder klassische Zensur!
Network analysis experiment on echo-chamber relative to COVID-19 tweets.
multi agent model for simulating opinion polarization on social media
Investigating the possibilities of echo chambers in Retrieval Augmented Generation (RAG)
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