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Awesome-LLM-in-Social-Science

ValueByte-AI/Awesome-LLM-in-Social-Science

Awesome papers involving LLMs in Social Science

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

51views this month

648 stars53 forksLast push Sep 7, 2026 MIT

Decision brief

Curate research papers on LLM applications in social science, covering topics like alignment, economics, policy, psychology, and more.

Good fit when

  • Need to explore academic insights into LLM impacts on specific social areas
  • Interested in detailed case studies on ethics and social policies regarding AI

Avoid when

  • Looking for a hands-on coding or practical implementation guide of LLMs
  • In need of real-time data analysis tools for immediate social science research outcomes

Observed Jul 12, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Active (12d since push)
As of Sep 20, 2026
Provenance
Not a fork · Organization account
As of Sep 20, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/ValueByte-AI/Awesome-LLM-in-Social-Science

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A collection of research papers focusing on the application and implications of large language models (LLMs) within the domain of social science. The repository explores various topics, including alignment, economics, policy, psychology, and more.

Capability facts

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README

Awesome LLM in Social Science 🔗 Recommended Resource: Check out Awesome LLM Psychometrics for a comprehensive collection of papers and resources on LLM psychometrics, including evaluation, validation, and enhancement. Below we compile awesome papers that evaluate Large Language...

For agents

This page has a .md twin and JSON over the API.

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