corradomonti/ideological-embeddings
Code and data for the CIKM2021 paper "Learning Ideological Embeddings From Information Cascades"
This project helps social scientists and data analysts understand the underlying ideological leanings within a network, like how people retweet on Twitter or share links on Reddit. By analyzing how information spreads through a network and the topics of that information, it reveals the ideological 'polarities' of individuals or groups. This allows researchers to map out and quantify hidden ideological dimensions.
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Use this if you need to measure and visualize the ideological positions of individuals or groups within a social network based on their information sharing behavior.
Not ideal if you're looking for a tool to analyze the content of messages or conversations directly, rather than the spread of topics through a network.
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Python
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Last pushed
Sep 08, 2021
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