Code and Data for paper: Cross-Partisan Discussions on YouTube: Conservatives Talk to Liberals but Liberals Don't Talk to Conservatives (ICWSM '21)
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Updated
Jun 16, 2021 - Python
Code and Data for paper: Cross-Partisan Discussions on YouTube: Conservatives Talk to Liberals but Liberals Don't Talk to Conservatives (ICWSM '21)
[WebConf 2020] Searching for polarization in signed graphs: a local spectral approach
An examination of political polarization on Twitter in the months leading up to the 2016 presidential election.
Analysing Political Polarisation using Natural Language Processing.
Empirical framework applied to parliament discourses and Twitter data, with a Discourse Polarization Index.
Análise de polarização política na Câmara dos Deputados a partir do padrão de votação dos deputados.
Devised a Python processing technique to extract information from IBM SPSS format and created a CSV based output for plug & play format of "Political Polarization" information from British Household Panel Survey (BHPS)
Quantifying Political Polarization Using Text Mining. Master's thesis at Nova School of Business and Economics. 5.6M Congressional speeches and tweets classified across five polarization domains by a four-model LLM ensemble.
Analysing political polarization using an ensemble of LLMs.
Cadre de modélisation sociophysique basé sur le modèle de Kuramoto. Analyse des transitions de phase collectives : modes culturelles, contagion du rire, groove musical et polarisation politique
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