Code For "Bluesky Network Topology, Polarization, and Algorithmic Curation"

Data Preparation

1. Unzip DIDs.txt.gz which contains all the DIDs of users used in this analysis
2. Run the download script with:

python download_repos_multip.py --mode all

This will download all repositories for the DIDs and store them in the Data/DID_REPO/ folder.

3. Run Code/PythonScripts/data_processing.py to create the SQL database.

Main Analysis

Data Processing Notebooks

• 00_CreateMBFC.ipynb - Creates mapping of domains to political stances according to Media Bias Fact Check (MBFC)
• 01_CreateSQL.ipynb - Creates SQL database and exports upload scripts

Analysis Notebooks

• 02_ActivityOverTime.ipynb

  • Figure 1: Activity over Time
  • Table 5: Top Domains

• 03_TrainTransformer.ipynb

  • Trains model for stance detection on Israel/Palestine content

• 04_Stance.ipynb

  • Figure 9: Proportion of Posts by Stance over Time
  • Table 1: User Activity Distributions
  • Figures 2 & 3: Distribution of Interactions
  • Figures 8 & 10: Heatmap of Ideologies vs Neighborhood Ideology
  • Figure 7: Distribution of Domains by Ideology

• 05_TopologyOverTime.ipynb

  • Figures 4 & 5: Structural Measures over Time

• 06_Feeds.ipynb

  • Table 2: Top Feeds on Bluesky
  • Table 4: Distributions of Feeds
  • Figure 6: Distribution of Interactions with Feeds

• 07_TopicModel.ipynb

  • Table 3: Topic Model of Feeds