Cover Image

Quantifying Gender Biases Towards Politicians on Reddit

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Marjanovic, Sara, Stańczak, Karolina, Augenstein, Isabelle
Format:	Preprint
Published:	2021
Subjects:	Computation and Language Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Causal Influence of Grammatical Gender on Distributional Semantics
by: Stańczak, Karolina, et al.
Published: (2023)

Invisible Women in Digital Diplomacy: A Multidimensional Framework for Online Gender Bias Against Women Ambassadors Worldwide
by: Golovchenko, Yevgeniy, et al.
Published: (2023)

A Multilingual Perspective on Probing Gender Bias
by: Stańczak, Karolina
Published: (2024)

Social Bias Probing: Fairness Benchmarking for Language Models
by: Manerba, Marta Marchiori, et al.
Published: (2023)

Investigating the Impact of Model Instability on Explanations and Uncertainty
by: Marjanović, Sara Vera, et al.
Published: (2024)

A Latent-Variable Model for Intrinsic Probing
by: Stańczak, Karolina, et al.
Published: (2022)

Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions
by: Kaffee, Lucie-Aimée, et al.
Published: (2023)

Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
by: Arakelyan, Erik, et al.
Published: (2024)

GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations
by: Wilming, Rick, et al.
Published: (2024)

The Silicon Ceiling: Auditing GPT's Race and Gender Biases in Hiring
by: Armstrong, Lena, et al.
Published: (2024)

Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
by: Girrbach, Leander, et al.
Published: (2024)

Modeling Public Perceptions of Science in Media
by: Pei, Jiaxin, et al.
Published: (2025)

Multi-Modal Framing Analysis of News
by: Arora, Arnav, et al.
Published: (2025)

People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
by: Sen, Indira, et al.
Published: (2023)

Value Drifts: Tracing Value Alignment During LLM Post-Training
by: Bhatia, Mehar, et al.
Published: (2025)

Politicians vs ChatGPT. A study of presuppositions in French and Italian political communication
by: Garassino, Davide, et al.
Published: (2024)

Polarization and Morality: Lexical Analysis of Abortion Discourse on Reddit
by: Stanier, Tessa, et al.
Published: (2024)

Revealing Fine-Grained Values and Opinions in Large Language Models
by: Wright, Dustin, et al.
Published: (2024)

The Moral Foundations Reddit Corpus
by: Trager, Jackson, et al.
Published: (2022)

Exploring Gender Biases in Language Patterns of Human-Conversational Agent Conversations
by: Liu, Weizi
Published: (2024)

Can Grammarly and ChatGPT accelerate language change? AI-powered technologies and their impact on the English language: wordiness vs. conciseness
by: Rudnicka, Karolina
Published: (2025)

The "negative end" of change in grammar: terminology, concepts and causes
by: Rudnicka, Karolina
Published: (2025)

"In order that" -- a data driven study of symptoms and causes of obsolescence
by: Rudnicka, Karolina
Published: (2025)

The Gray Area: Characterizing Moderator Disagreement on Reddit
by: Alipour, Shayan, et al.
Published: (2026)

Computational Phenomenology of Temporal Experience in Autism: Quantifying the Emotional and Narrative Characteristics of Lived Unpredictability
by: Dudzic, Kacper, et al.
Published: (2026)

Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora
by: Derner, Erik, et al.
Published: (2024)

Understanding the Interplay between LLMs' Utilisation of Parametric and Contextual Knowledge: A keynote at ECIR 2025
by: Augenstein, Isabelle
Published: (2026)

Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit
by: La Cava, Lucio, et al.
Published: (2025)

Structure and dynamics of growing networks of Reddit threads
by: Goglia, Diletta, et al.
Published: (2024)

Gender and Positional Biases in LLM-Based Hiring Decisions: Evidence from Comparative CV/Résumé Evaluations
by: Rozado, David
Published: (2025)

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories
by: Raffini, Daniel, et al.
Published: (2025)

Lost in Transcription: Identifying and Quantifying the Accuracy Biases of Automatic Speech Recognition Systems Against Disfluent Speech
by: Mujtaba, Dena, et al.
Published: (2024)

Are Models Biased on Text without Gender-related Language?
by: Belém, Catarina G, et al.
Published: (2024)

The Biased Samaritan: LLM biases in Perceived Kindness
by: Fagan, Jack H, et al.
Published: (2025)

Analyzing Toxicity in Deep Conversations: A Reddit Case Study
by: Shankaran, Vigneshwaran, et al.
Published: (2024)

Aggregating Soft Labels from Crowd Annotations Improves Uncertainty Estimation Under Distribution Shift
by: Wright, Dustin, et al.
Published: (2022)

Toward Automated Detection of Biased Social Signals from the Content of Clinical Conversations
by: Chen, Feng, et al.
Published: (2024)

Generative Language Models Exhibit Social Identity Biases
by: Hu, Tiancheng, et al.
Published: (2023)

LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education
by: Weissburg, Iain, et al.
Published: (2024)

QueerBench: Quantifying Discrimination in Language Models Toward Queer Identities
by: Sosto, Mae, et al.
Published: (2024)