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20232026
most citedExamining Alignment of Large Language Models through Representative Heuristics: The Case of Political Stereotypes

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cs.DL2025

Revisiting gender bias research in bibliometrics: Standardizing methodological variability using Scholarly Data Analysis (SoDA) Cards

HaeJin Lee, Shubhanshu Mishra, Apratim Mishra +3

Gender biases in scholarly metrics remain a persistent concern, despite numerous bibliometric studies exploring their presence and absence across productivity, impact, acknowledgme…