Self-reported Demographics and Discourse Dynamics in a Persuasive Online Forum

This repository contains all the scripts and data used in the paper "Self-reported Demographics and Discourse Dynamics in a Persuasive Online Forum", (Falenska, Vecchi, & Lapesa, LREC-COLING 2024).

Data

• data/lrec2024_data.csv full data frame with all our features and annotations
• manual_annotations explicit gender annotations provided by human annotators

Code

• scripts/analyze/analyze_stats.ipynb frequency and topic analysis
• scripts/analyze/regression_analysis.Rmd all the regression analysis
• scripts/explicit/highlight-genders.sh heuristics for filtering and highlighting explicit gender mentioned.

References

When using any of the data provided in this repository, please cite the following papers:

• Agnieszka Falenska, Eva Maria Vecchi, and Gabriella Lapesa. 2024. Self-reported Demographics and Discourse Dynamics in a Persuasive Online Forum. In Proceedings of the International Language Resources and Evaluation (LREC-COLING-2024). Torino, Italy. 20-25 May 2024.
• Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, and Lillian Lee. 2016. Winning arguments: Interaction dynamics and persuasion strategies in good-faith online discussions. In Proceedings of the 25th International Conference on World Wide Web, WWW ’16, page 613– 624, Republic and Canton of Geneva, CHE.