Censorship in Democracy

By Marcel Caesmann, Janis Goldzycher, Matteo Grigoletto, Lorenz Gschwent

Rating

1272
Battle Count: 168

Relevance

3/10
While not directly related to quantitative trading, the methodology for analyzing text data and measuring media slant could potentially be adapted for sentiment analysis in financial markets.

Implementation Complexity

7/10
The implementation involves complex data collection from social media APIs, text analysis, and causal inference techniques, requiring significant computational resources and expertise in natural language processing and econometrics.

Reproducibility

4/5
The paper provides detailed information on data collection, methodology, and analysis, enhancing reproducibility. However, access to the full Twitter dataset might be challenging for other researchers.

About this paper

Methodology: Difference-in-Differences. Problem types: Causal Inference, Natural Language Processing.

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