Gender Representation and Bias in Indian Civil Service Mock Interviews
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Abstract (arXiv)
This paper makes three key contributions. First, via a substantial corpus of 51,278 interview questions sourced from 888 YouTube videos of mock interviews of Indian civil service candidates, we demonstrate stark gender bias in the broad nature of questions asked to male and female candidates. Second, our experiments with large language models show a strong presence of gender bias in explanations provided by the LLMs on the gender inference task. Finally, we present a novel dataset of 51,278 interview questions that can inform future social science studies.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 11 of its 40 references that are in the map. First posted on arXiv 18 Sep 2024.
Builds on
11 of 40 references.
References · 11
- 2023Mistral 7Bcited by 3,164
- 2016Enriching Word Vectors with Subword Informationcited by 1,583
- 2016Semantics derived automatically from language corpora contain human-like biasescited by 901
- 2020Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillationcited by 593
- 2019Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Themcited by 268
- 2017Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypescited by 253
- 2021Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologiescited by 128
- 2023ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource Languagescited by 34
- 2020Analyzing Gender Bias within Narrative Tropescited by 7
- 2023Are Explainability Tools Gender Biased? A Case Study on Face Presentation Attack Detectioncited by 6
- 2023Disentangling Societal Inequality from Model Biases: Gender Inequality in Divorce Court Proceedingscited by 3
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Citing papers per year: 2025: 1; 2026: 1.
2 papers.