Supplementary Material for "Gender Discrimination in Competitive Online Games – Perceptions, Rumination, and Moderation"

This repository contains supplementary material for the exdended version of the paper "How do Players perceive Gender Discrimination? On the Differences of Harassment in Online Games". The provided files include survey structures, result data, and pattern recognition files used in the research.

Repository Contents

1. Survey Structures

• survey_structure/s1_export.pdf: The structure of the first survey, including questions and response options.

• survey_structure/s2_general_export.pdf: The structure of the second survey.

• survey_structure/s2_valorant_export.pdf: The structure of the second survey, customized for VALORANT.

2. Survey Results

• results/results-s1_15012025.csv: Results of the first survey.
• results/results_s2_general_16022025.csv: Results of the second survey.
• results/results_s2_valorant_16022025.csv: Results of the second survey, customized for the r/VALORANT subreddit.
• results/results_s2_cs2_16022025.csv: Results of the second survey, from the r/CS2 subreddit.

3. Pattern Recognition Files

• pattern_recognition_s1.ipynb, pattern_recognition_s2.ipynb: Files used for detecting patterns in responses for exclusion from the analysis.

4. Pattern Recognition Files

• coding_procedure.xlsx: Document including all quotes submitted in S1 and the coding procedure.

5. Goal-Question-Metric (GQM)

Metrics used in the evaluation of the surveys:

• M1) Difference in severity rating for eight types of gender discrimination and real examples between gender groups
• M2) Difference in guessed realness of actual examples of gender discrimination between gender groups
• M3) Comparison of perceived severity of gender discrimination and rumination between genders
• M4) Comparison of rumination and guessed realness of actual examples of gender discrimination between genders
• M5) Comparison of rumination between genders with respect to discouragement to play COMGs, participation in game communities, and gamer identity
• M6) Comparison of the use of moderation tools and perceived severity of types and examples of gender discrimination
• M7) Comparison of perceived severity and changes information of discriminated players to hide their gender