"It Is a Market Like Any Other": How Brazilian Software Practitioners Reason About Working in the Online Betting Industry [Supplementary materials]

This repository contains supplementary materials and analysis scripts for the study. Repository Structure . ├── search_filter/ │ ├── search_script.py │ └── filter_reddit_comments.py ├── content_analysis/ │ ├── content_analysis.R │ ├── co-occurrence_analysis.R │ ├── code_occurrences.csv │ ├── code_cooccurrences.csv │ └── code_cooccurrence_matrix.csv ├── reddit_coded_data.csv ├── Codebook.xlsx ├── Codebook.ods └── complete_survey.pdf Repository Contents File Description reddit_coded_data.csv Qualitatively coded Reddit data (135 records; semicolon-delimited). Codebook.xlsx / Codebook.ods Codebook with definitions, inclusion and exclusion criteria, and examples for 23 codes (C01–C23). complete_survey.pdf Complete survey instrument used in the study. search_script.py Extracts and filters posts from r/brdev and r/devbr from compressed Reddit .zst dumps. filter_reddit_comments.py Removes comments associated with excluded or out-of-scope posts. content_analysis.R Calculates code frequencies and distributions. co-occurrence_analysis.R Calculates pairwise code co-occurrences and generates a symmetric adjacency matrix. code_occurrences.csv Absolute frequency of each code in the analysis corpus. code_cooccurrences.csv Co-occurrence counts for distinct pairs of codes. code_cooccurrence_matrix.csv Symmetric matrix of code co-occurrences. Requirements Python 3 for the Reddit processing scripts. R and the packages required by the analysis scripts. Usage Run the Python scripts to process the Reddit data, then run the R scripts to calculate code frequencies and co-occurrences. Check each script for input paths and configuration before execution. Data Format CSV files use a semicolon (;) as the delimiter.