Measuring Scalar Constructs in Social Science with LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Licht, Hauke, Sarkar, Rupak, Wu, Patrick Y., Goel, Pranav, Stoehr, Niklas, Ash, Elliott, Hoyle, Alexander Miserlis
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

Natural Language Decompositions of Implicit Content Enable Better Text Representations
by: Hoyle, Alexander, et al.
Published: (2023)

Computational emotion analysis with multimodal LLMs: Current evidence on an emerging methodological opportunity
by: Licht, Hauke
Published: (2025)

How Persuasive is Your Context?
by: Nguyen, Tu, et al.
Published: (2025)

The Medium Is Not the Message: Deconfounding Document Embeddings via Linear Concept Erasure
by: Fan, Yu, et al.
Published: (2025)

Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback
by: Lerner, Emilia Agis, et al.
Published: (2024)

World Models for Math Story Problems
by: Opedal, Andreas, et al.
Published: (2023)

Can Reasoning Help Large Language Models Capture Human Annotator Disagreement?
by: Ni, Jingwei, et al.
Published: (2025)

Read the Paper, Write the Code: Agentic Reproduction of Social-Science Results
by: Kohler, Benjamin, et al.
Published: (2026)

Modeling Motivated Reasoning in Law: Evaluating Strategic Role Conditioning in LLM Summarization
by: Cho, Eunjung, et al.
Published: (2025)

Localizing Paragraph Memorization in Language Models
by: Stoehr, Niklas, et al.
Published: (2024)

Agentic Insight Generation in VSM Simulations
by: Selak, Micha, et al.
Published: (2026)

LePaRD: A Large-Scale Dataset of Judges Citing Precedents
by: Mahari, Robert, et al.
Published: (2023)

Unsupervised Contrast-Consistent Ranking with Language Models
by: Stoehr, Niklas, et al.
Published: (2023)

Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification
by: Xiong, Chenfei, et al.
Published: (2025)

Context versus Prior Knowledge in Language Models
by: Du, Kevin, et al.
Published: (2024)

Aligning Large Language Models with Diverse Political Viewpoints
by: Stammbach, Dominik, et al.
Published: (2024)

Translating Legalese: Enhancing Public Understanding of Court Opinions with Legal Summarizers
by: Ash, Elliott, et al.
Published: (2023)

Where Do People Tell Stories Online? Story Detection Across Online Communities
by: Antoniak, Maria, et al.
Published: (2023)

Activation Scaling for Steering and Interpreting Language Models
by: Stoehr, Niklas, et al.
Published: (2024)

Codebook LLMs: Evaluating LLMs as Measurement Tools for Political Science Concepts
by: Halterman, Andrew, et al.
Published: (2024)

ELEPHANT: Measuring and understanding social sycophancy in LLMs
by: Cheng, Myra, et al.
Published: (2025)

A SMART Mnemonic Sounds like "Glue Tonic": Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick
by: Balepur, Nishant, et al.
Published: (2024)

Variational Best-of-N Alignment
by: Amini, Afra, et al.
Published: (2024)

Media Slant is Contagious
by: Widmer, Philine, et al.
Published: (2022)

Large Language Models Can Be a Viable Substitute for Expert Political Surveys When a Shock Disrupts Traditional Measurement Approaches
by: Wu, Patrick Y.
Published: (2025)

ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering
by: Hoyle, Alexander, et al.
Published: (2025)

Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering
by: Schimanski, Tobias, et al.
Published: (2024)

Controllable Context Sensitivity and the Knob Behind It
by: Minder, Julian, et al.
Published: (2024)

Fake News Detection After LLM Laundering: Measurement and Explanation
by: Das, Rupak Kumar, et al.
Published: (2025)

Understanding Common Ground Misalignment in Goal-Oriented Dialog: A Case-Study with Ubuntu Chat Logs
by: Sarkar, Rupak, et al.
Published: (2025)

TopicGPT: A Prompt-based Topic Modeling Framework
by: Pham, Chau Minh, et al.
Published: (2023)

Position: Enough of Scaling LLMs! Lets Focus on Downscaling
by: Goel, Yash, et al.
Published: (2025)

CUTE: Measuring LLMs' Understanding of Their Tokens
by: Edman, Lukas, et al.
Published: (2024)

Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations?
by: Huang, Yue, et al.
Published: (2024)

SemEval-2017 Task 4: Sentiment Analysis in Twitter using BERT
by: Das, Rupak Kumar, et al.
Published: (2024)

AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators
by: Ni, Jingwei, et al.
Published: (2024)

RoboPhD: Self-Improving Text-to-SQL Through Autonomous Agent Evolution
by: Borthwick, Andrew, et al.
Published: (2026)

LLM-Measure: Generating Valid, Consistent, and Reproducible Text-Based Measures for Social Science Research
by: Yang, Yi, et al.
Published: (2024)

Toward Responsible and Epistemically Grounded Multilingual LLMs for Computational Social Science and Humanities
by: Zaghouani, Wajdi
Published: (2026)

Safer Reasoning Traces: Measuring and Mitigating Chain-of-Thought Leakage in LLMs
by: Ahrend, Patrick, et al.
Published: (2026)