Cover Image

Does Writing with Language Models Reduce Content Diversity?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Padmakumar, Vishakh, He, He
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Computers and Society Human-Computer Interaction Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers
by: Chakrabarty, Tuhin, et al.
Published: (2023)

SparkMe: Adaptive Semi-Structured Interviewing for Qualitative Insight Discovery
by: Anugraha, David, et al.
Published: (2026)

Offloading Score: Measuring AI Reliance Through Counterfactual Workflows
by: Padmakumar, Vishakh, et al.
Published: (2026)

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems
by: Liang, Weixin
Published: (2025)

The Moral Gap of Large Language Models
by: Skorski, Maciej, et al.
Published: (2025)

Watching the Watchers: A Comparative Fairness Audit of Cloud-based Content Moderation Services
by: Hartmann, David, et al.
Published: (2024)

Toward Cultural Interpretability: A Linguistic Anthropological Framework for Describing and Evaluating Large Language Models (LLMs)
by: Jones, Graham M., et al.
Published: (2024)

LLMs as Writing Assistants: Exploring Perspectives on Sense of Ownership and Reasoning
by: Wasi, Azmine Toushik, et al.
Published: (2024)

LiteraryTaste: A Preference Dataset for Creative Writing Personalization
by: Chung, John Joon Young, et al.
Published: (2025)

Humanizing LLMs: A Survey of Psychological Measurements with Tools, Datasets, and Human-Agent Applications
by: Dong, Wenhan, et al.
Published: (2025)

The "Colonial Impulse" of Natural Language Processing: An Audit of Bengali Sentiment Analysis Tools and Their Identity-based Biases
by: Das, Dipto, et al.
Published: (2024)

LLM-based Cognitive Models of Students with Misconceptions
by: Sonkar, Shashank, et al.
Published: (2024)

Asking For It: Question-Answering for Predicting Rule Infractions in Online Content Moderation
by: Samory, Mattia, et al.
Published: (2025)

Prediction-Powered Ranking of Large Language Models
by: Chatzi, Ivi, et al.
Published: (2024)

Implicit Personalization in Language Models: A Systematic Study
by: Jin, Zhijing, et al.
Published: (2024)

Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds
by: Abels, Axel, et al.
Published: (2025)

The Lock-in Hypothesis: Stagnation by Algorithm
by: Qiu, Tianyi Alex, et al.
Published: (2025)

Linear Representations of Political Perspective Emerge in Large Language Models
by: Kim, Junsol, et al.
Published: (2025)

Can Large Language Models Unlock Novel Scientific Research Ideas?
by: Kumar, Sandeep, et al.
Published: (2024)

Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Users
by: Karamolegkou, Antonia, et al.
Published: (2025)

LLM4PM: A case study on using Large Language Models for Process Modeling in Enterprise Organizations
by: Ziche, Clara, et al.
Published: (2024)

Attention to Non-Adopters
by: Zhou, Kaitlyn, et al.
Published: (2025)

Activation Steering via Generative Causal Mediation
by: Sankaranarayanan, Aruna, et al.
Published: (2026)

Large Language Models Can Infer Personality from Free-Form User Interactions
by: Peters, Heinrich, et al.
Published: (2024)

Modifying Large Language Model Post-Training for Diverse Creative Writing
by: Chung, John Joon Young, et al.
Published: (2025)

MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes
by: Chiu, Yu Ying, et al.
Published: (2025)

Story Ribbons: Reimagining Storyline Visualizations with Large Language Models
by: Yeh, Catherine, et al.
Published: (2025)

When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
by: Zheng, Mingqian, et al.
Published: (2023)

EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety
by: Qiu, Jiahao, et al.
Published: (2025)

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
by: Kıcıman, Emre, et al.
Published: (2023)

Prompting ChatGPT for Translation: A Comparative Analysis of Translation Brief and Persona Prompts
by: He, Sui
Published: (2024)

The Hidden Language of Harm: Examining the Role of Emojis in Harmful Online Communication and Content Moderation
by: Zhou, Yuhang, et al.
Published: (2025)

Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis
by: Li, Zongxia, et al.
Published: (2024)

Multidimensional Human Activity Recognition With Large Language Model: A Conceptual Framework
by: Hasan, Syed Mhamudul
Published: (2024)

Exposure to Content Written by Large Language Models Can Reduce Stigma Around Opioid Use Disorder in Online Communities
by: Mittal, Shravika, et al.
Published: (2025)

Exploring EFL Secondary Students' AI-generated Text Editing While Composition Writing
by: Woo, David James, et al.
Published: (2025)

Longitudinal Monitoring of LLM Content Moderation of Social Issues
by: Dai, Yunlang, et al.
Published: (2025)

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

Ethics and Technical Aspects of Generative AI Models in Digital Content Creation
by: Karagoz, Atahan
Published: (2024)

Identity-related Speech Suppression in Generative AI Content Moderation
by: Proebsting, Grace, et al.
Published: (2024)