Cover Image

Learning from Convenience Samples: A Case Study on Fine-Tuning LLMs for Survey Non-response in the German Longitudinal Election Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Holtdirk, Tobias, Assenmacher, Dennis, Bleier, Arnim, Wagner, Claudia
Format:	Preprint
Published:	2025
Subjects:	Computers and Society Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Facts are Harder Than Opinions -- A Multilingual, Comparative Analysis of LLM-Based Fact-Checking Reliability
by: Saju, Lorraine, et al.
Published: (2025)

Computational Reproducibility of R Code Supplements on OSF
by: Saju, Lorraine, et al.
Published: (2025)

German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM Studies
by: Rupprecht, Jens, et al.
Published: (2025)

You are a Bot! -- Studying the Development of Bot Accusations on Twitter
by: Assenmacher, Dennis, et al.
Published: (2023)

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

A Modular Taxonomy for Hate Speech Definitions and Its Impact on Zero-Shot LLM Classification Performance
by: Melis, Matteo, et al.
Published: (2025)

The Unseen Targets of Hate -- A Systematic Review of Hateful Communication Datasets
by: Yu, Zehui, et al.
Published: (2024)

Supervised Fine-Tuning LLMs to Behave as Pedagogical Agents in Programming Education
by: Ross, Emily, et al.
Published: (2025)

How Prevalent is Gender Bias in ChatGPT? -- Exploring German and English ChatGPT Responses
by: Urchs, Stefanie, et al.
Published: (2023)

Passing the Turing Test in Political Discourse: Fine-Tuning LLMs to Mimic Polarized Social Media Comments
by: Pazzaglia, ., et al.
Published: (2025)

Automating Computational Reproducibility in Social Science: Comparing Prompt-Based and Agent-Based Approaches
by: Shah, Syed Mehtab Hussain, et al.
Published: (2026)

Fair Play in the Newsroom: Actor-Based Filtering Gender Discrimination in Text Corpora
by: Urchs, Stefanie, et al.
Published: (2025)

LLMs for Low-Resource Dialect Translation Using Context-Aware Prompting: A Case Study on Sylheti
by: Prama, Tabia Tanzin, et al.
Published: (2025)

Measuring Fine-Grained Negotiation Tactics of Humans and LLMs in Diplomacy
by: Li, Wenkai, et al.
Published: (2025)

Personas with Attitudes: Controlling LLMs for Diverse Data Annotation
by: Fröhling, Leon, et al.
Published: (2024)

SafeCOMM: A Study on Safety Degradation in Fine-Tuned Telecom Large Language Models
by: Djuhera, Aladin, et al.
Published: (2025)

ElectionSim: Massive Population Election Simulation Powered by Large Language Model Driven Agents
by: Zhang, Xinnong, et al.
Published: (2024)

Are Social Sentiments Inherent in LLMs? An Empirical Study on Extraction of Inter-demographic Sentiments
by: Tanaka, Kunitomo, et al.
Published: (2024)

Prompt Refinement or Fine-tuning? Best Practices for using LLMs in Computational Social Science Tasks
by: Møller, Anders Giovanni, et al.
Published: (2024)

MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social Discussions
by: Preniqi, Vjosa, et al.
Published: (2024)

AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation
by: von der Heyde, Leah, et al.
Published: (2025)

Sexism Detection on a Data Diet
by: Bandyopadhyay, Rabiraj, et al.
Published: (2024)

Beyond the Explicit: A Bilingual Dataset for Dehumanization Detection in Social Media
by: Assenmacher, Dennis, et al.
Published: (2025)

Gender Bias Detection in Court Decisions: A Brazilian Case Study
by: Benatti, Raysa, et al.
Published: (2024)

Leveraging LLMs to Assess Tutor Moves in Real-Life Dialogues: A Feasibility Study
by: Thomas, Danielle R., et al.
Published: (2025)

Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective
by: Vladika, Juraj, et al.
Published: (2024)

Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study
by: Ma, Bolei, et al.
Published: (2024)

Sample Design Engineering: An Empirical Study of What Makes Good Downstream Fine-Tuning Samples for LLMs
by: Guo, Biyang, et al.
Published: (2024)

Measuring What Matters -- or What's Convenient?: Robustness of LLM-Based Scoring Systems to Construct-Irrelevant Factors
by: Walsh, Cole, et al.
Published: (2026)

Artificial Intelligence Driven Course Generation: A Case Study Using ChatGPT
by: Rouabhia, Djaber
Published: (2024)

How Gender Interacts with Political Values: A Case Study on Czech BERT Models
by: Ali, Adnan Al, et al.
Published: (2024)

Explore the Potential of LLMs in Misinformation Detection: An Empirical Study
by: Chen, Mengyang, et al.
Published: (2023)

Not Just Novelty: A Longitudinal Study on Utility and Customization of an AI Workflow
by: Long, Tao, et al.
Published: (2024)

Representation Learning to Study Temporal Dynamics in Tutorial Scaffolding
by: Borchers, Conrad, et al.
Published: (2026)

Generalization to Political Beliefs from Fine-Tuning on Sports Team Preferences
by: Terry, Owen
Published: (2026)

On the Credibility of Evaluating LLMs using Survey Questions
by: Libovický, Jindřich
Published: (2026)

Are Rationales Necessary and Sufficient? Tuning LLMs for Explainable Misinformation Detection
by: Wang, Bing, et al.
Published: (2026)

Narrowing the Gap: Supervised Fine-Tuning of Open-Source LLMs as a Viable Alternative to Proprietary Models for Pedagogical Tools
by: Solano, Lorenzo Lee, et al.
Published: (2025)

Towards Measuring and Modeling "Culture" in LLMs: A Survey
by: Adilazuarda, Muhammad Farid, et al.
Published: (2024)

Towards New Benchmark for AI Alignment & Sentiment Analysis in Socially Important Issues: A Comparative Study of Human and LLMs in the Context of AGI
by: Bojic, Ljubisa, et al.
Published: (2025)