Summary of Examining Gender and Power on Wikipedia Through Face and Politeness, by Adil Soubki et al.
Examining Gender and Power on Wikipedia Through Face and Politeness
by Adil Soubki, Shyne Choi, Owen Rambow
First submitted to arxiv on: 5 Aug 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a framework for analyzing discourse by combining two sociolinguistic concepts: face acts and politeness. The authors introduce a new corpus created by annotating Wikipedia talk pages with face acts and train a face act tagger using this data. They then study how face and politeness interact with gender and power in discussions between Wikipedia editors, observing that female Wikipedians are more polite and use language to humble themselves. However, this difference disappears when considering editors with administrative power. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how people talk online by combining two ideas: “face” and being polite. The researchers create a special collection of text data from Wikipedia talk pages and use it to train a tool that can identify different types of language used in these discussions. They find out that female editors on Wikipedia are more likely to be nice and respectful, but they also use certain words or phrases to make themselves seem less important. This difference goes away when looking at editors who have special power. |
Keywords
» Artificial intelligence » Discourse
