maor63/ec_reddit_casestudy

Echo Chamber - Reddit Case Study

This repository refers to the Journal Paper Toward a Standard Approach for Echo Chamber Detection: Reddit Case Study.
In this case study our purpose is to assess the existence of Pro-Trump and Anti-Trump echo chambers among three sociopolitical issues (i.e., Gun Control, Minorities Discrimination, Political Sphere). Our analysis covers the first two years and half of Donald Trump Presidency (January 2017 - July 2019).

Repository content

• src folder contains RedditHandler class that allows to extract and clean Reddit data (i.e., posts and/or comments), as well as to create user interactions networks from extracted data.
• Data Extraction folder contains code to extract post and comments data (i.e., ground truth, sociopolitical topics).
• Users ideology inference folder contains code to train/select/evaluate BERT and LSTM models.
• Network Creation & Community Detection folder contains code to define the users debate network as well as detect communities.
• img folder contains all the output figures.

Dataset

For each topic and each semester, in the data folder you can find a representative sample edgelist (from,to,weight) and nodelist (id,mean_score,leaning) used in the current paper.