Cover Image

The AI Gap: How Socioeconomic Status Affects Language Technology Interactions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bassignana, Elisa, Curry, Amanda Cercas, Hovy, Dirk
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Do Large Language Models Adapt to Language Variation across Socioeconomic Status?
by: Bassignana, Elisa, et al.
Published: (2026)

Impoverished Language Technology: The Lack of (Social) Class in NLP
by: Curry, Amanda Cercas, et al.
Published: (2024)

Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directions
by: Plaza-del-Arco, Flor Miriam, et al.
Published: (2024)

Classist Tools: Social Class Correlates with Performance in NLP
by: Curry, Amanda Cercas, et al.
Published: (2024)

Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement
by: Abercrombie, Gavin, et al.
Published: (2023)

Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution
by: Plaza-del-Arco, Flor Miriam, et al.
Published: (2024)

Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Models
by: Plaza-del-Arco, Flor Miriam, et al.
Published: (2024)

Subjective $\textit{Isms}$? On the Danger of Conflating Hate and Offence in Abusive Language Detection
by: Curry, Amanda Cercas, et al.
Published: (2024)

The Call for Socially Aware Language Technologies
by: Yang, Diyi, et al.
Published: (2024)

The Language of Attachment: Modeling Attachment Dynamics in Psychotherapy
by: Bredgaard, Frederik, et al.
Published: (2025)

P1SCO: Social Dimensions from a Perspectivist Lens
by: Curry, Amanda Cercas, et al.
Published: (2026)

The Pluralistic Moral Gap: Understanding Judgment and Value Differences between Humans and Large Language Models
by: Russo, Giuseppe, et al.
Published: (2025)

Language Model Council: Democratically Benchmarking Foundation Models on Highly Subjective Tasks
by: Zhao, Justin, et al.
Published: (2024)

Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps
by: Attanasio, Giuseppe, et al.
Published: (2024)

Overreliance on AI in Information-seeking from Video Content
by: Møller, Anders Giovanni, et al.
Published: (2026)

Compromesso! Italian Many-Shot Jailbreaks Undermine the Safety of Large Language Models
by: Pernisi, Fabio, et al.
Published: (2024)

Conversations as a Source for Teaching Scientific Concepts at Different Education Levels
by: Rooein, Donya, et al.
Published: (2024)

Narratives at Conflict: Computational Analysis of News Framing in Multilingual Disinformation Campaigns
by: Sinelnik, Antonina, et al.
Published: (2024)

SnakModel: Lessons Learned from Training an Open Danish Large Language Model
by: Zhang, Mike, et al.
Published: (2024)

From Chatbots to Confidants: A Cross-Cultural Study of LLM Adoption for Emotional Support
by: Amat-Lefort, Natalia, et al.
Published: (2026)

When Dialects Collide: How Socioeconomic Mixing Affects Language Use
by: Louf, Thomas, et al.
Published: (2023)

Do Prompts Reshape Representations? An Empirical Study of Prompting Effects on Embeddings
by: Gonzalez-Gutierrez, Cesar, et al.
Published: (2025)

Wisdom of Instruction-Tuned Language Model Crowds. Exploring Model Label Variation
by: Plaza-del-Arco, Flor Miriam, et al.
Published: (2023)

SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety
by: Röttger, Paul, et al.
Published: (2024)

How to Encode Domain Information in Relation Classification
by: Bassignana, Elisa, et al.
Published: (2024)

DaKultur: Evaluating the Cultural Awareness of Language Models for Danish with Native Speakers
by: Müller-Eberstein, Max, et al.
Published: (2025)

Exploring Subjective Tasks in Farsi: A Survey Analysis and Evaluation of Language Models
by: Rooein, Donya, et al.
Published: (2025)

Biased Tales: Cultural and Topic Bias in Generating Children's Stories
by: Rooein, Donya, et al.
Published: (2025)

The Ecological Fallacy in Annotation: Modelling Human Label Variation goes beyond Sociodemographics
by: Orlikowski, Matthias, et al.
Published: (2023)

Beyond Flesch-Kincaid: Prompt-based Metrics Improve Difficulty Classification of Educational Texts
by: Rooein, Donya, et al.
Published: (2024)

Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?
by: Soni, Nikita, et al.
Published: (2024)

Diffusion Language Models Are Natively Length-Aware
by: Rossi, Vittorio, et al.
Published: (2026)

Think Like a Person Before Responding: A Multi-Faceted Evaluation of Persona-Guided LLMs for Countering Hate
by: Ngueajio, Mikel K., et al.
Published: (2025)

DADIT: A Dataset for Demographic Classification of Italian Twitter Users and a Comparison of Prediction Methods
by: Lupo, Lorenzo, et al.
Published: (2024)

How Does the Disclosure of AI Assistance Affect the Perceptions of Writing?
by: Li, Zhuoyan, et al.
Published: (2024)

Can Humans Identify Domains?
by: Barrett, Maria, et al.
Published: (2024)

No for Some, Yes for Others: Persona Prompts and Other Sources of False Refusal in Language Models
by: Plaza-del-Arco, Flor Miriam, et al.
Published: (2025)

Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance
by: de Araujo, Pedro Henrique Luz, et al.
Published: (2025)

XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models
by: Röttger, Paul, et al.
Published: (2023)

SimBench: Benchmarking the Ability of Large Language Models to Simulate Human Behaviors
by: Hu, Tiancheng, et al.
Published: (2025)