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Examining Gender and Power on Wikipedia Through Face and Politeness

arXiv 2408.02798 ↗First posted 5 Aug 2024cs.CL cs.AI cs.LGcited by 0

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Abstract (arXiv)

We propose a framework for analyzing discourse by combining two interdependent concepts from sociolinguistic theory: face acts and politeness. While politeness has robust existing tools and data, face acts are less resourced. We introduce a new corpus created by annotating Wikipedia talk pages with face acts and we use this to train a face act tagger. We then employ our framework to study how face and politeness interact with gender and power in discussions between Wikipedia editors. Among other findings, we observe that female Wikipedians are not only more polite, which is consistent with prior studies, but that this difference corresponds with significantly more language directed at humbling aspects of their own face. Interestingly, the distinction nearly vanishes once limiting to editors with administrative power.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 27 references that are in the map. First posted on arXiv 5 Aug 2024.

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References · 6

  1. 2023QLoRA: Efficient Finetuning of Quantized LLMscited by 3,355
  2. 2023A Rank Stabilization Scaling Factor for Fine-Tuning with LoRAcited by 231
  3. 2013A Computational Approach to Politeness with Application to Social Factorscited by 104
  4. 2020ConvoKit: A Toolkit for the Analysis of Conversationscited by 71
  5. 2020Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussionscited by 12
  6. 2017Dialog Structure Through the Lens of Gender, Gender Environment, and Powercited by 2

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