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Discovering and Categorising Language Biases in Reddit

lightning_palm

December 31, 2021

5 upvotes

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Post Information

Title	Discovering and Categorising Language Biases in Reddit
Author	lightning_palm
Upvotes	5
Comments	1
Date	December 31, 2021 8:37 AM UTC (4 years ago)
Subreddit	Posted in /r/Male_Studies
Original Link	https://old.reddit.com/r/Male_Studies/comments/rspfib/discovering_and_categorising_language_biases_in/
Archive Link	https://theredarchive.com/r/Male_Studies/discovering-and-categorising-language-biases-in.1216074 https://theredarchive.com/post/1216074

Comments

[–]lightning_palm[S] 2 points3 points4 points 4 years ago* (0 children) | Copy Link

They measured more than just gender biases, but for gender bias they used data from r/TheRedPill and r/dating_advice. Unsurprisingly, they found a larger gender bias on r/TheRedPill. For a fairer comparison, someone should repeat this study for r/FemaleDatingStrategy.

Based on the distribution of biases (following the method in Section 3.1) [in r/dating_advice], we selected the top 200 most biased adjectives towards the ‘female’ and ’male’ target sets and clustered them using k-means (r = 0.15), leaving 30 clusters for each target set of words. The most biased clusters towards women, such as (okcupid, bumble), and (exotic), are not clearly negatively biased (though we might ask questions about the implied exoticism in the latter term). The biased clusters towards men look more conspicuous: (poor), (irresponsible, erratic, unreliable, impulsive) or (pathetic, stupid, pedantic, sanctimonious, gross, weak, nonsensical, foolish) are found among the most biased clusters. On top of that, (abusive), (narcissistic, misogynistic, egotistical, arrogant), and (miserable, depressed) are among the most sentiment negative clusters. These terms indicate a significant negative bias towards men, evaluating them in terms of unreliability, pettiness and self-importance.