Code To Reproduce the Analysis of "Bluesky Network Topology, Polarization, and Algorithmic Curation"

Code To Reproduce the Analysis of "Bluesky Network Topology, Polarization, and Algorithmic Curation" Data Preparation 1. Unzip DIDs.txt.gz which contains all 4,754,059 valid user DIDs used in this analysis 2. Run the download script with: python download_repos_multip.py --mode all This wil...

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Bibliographische Detailangaben
Hauptverfasser: Quelle, Dorian, Bovet, Alexandre
Format: Dataset
Sprache:eng
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Zusammenfassung:Code To Reproduce the Analysis of "Bluesky Network Topology, Polarization, and Algorithmic Curation" Data Preparation 1. Unzip DIDs.txt.gz which contains all 4,754,059 valid user DIDs 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
DOI:10.7910/dvn/ngqkds