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

• highreadme#1

  Reposition README H1 and opening paragraph to clarify 'awesome list' identity

  Why:

  CURRENT

  # 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 Models (LLMs) from a perspective of Social Science.

  COPY-PASTE FIX

  Copy

  # Awesome-LLM-in-Social-Science: A Curated List of Papers on LLMs in Social Science
  
  This repository is a curated collection of *awesome* papers that explore the intersection of Large Language Models (LLMs) and Social Science. We compile research that evaluates and aligns LLMs from a Social Science perspective, employs LLMs to facilitate research, and contributes surveys, perspectives, and datasets on these topics.

  OpenDoneDismiss
• mediumhomepage#2

  Add a homepage URL to the repository's About section

  Why:

  COPY-PASTE FIX

  Copy

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

  OpenDoneDismiss
• lowreadme#3

  Reorder README introduction to prioritize this repo's identity

  Why:

  CURRENT

  # 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 Models (LLMs) from a perspective of Social Science.

  COPY-PASTE FIX

  Copy

  # Awesome-LLM-in-Social-Science: A Curated List of Papers on LLMs in Social Science
  
  This repository is a curated collection of *awesome* papers that explore the intersection of Large Language Models (LLMs) and Social Science. We compile research that evaluates and aligns LLMs from a Social Science perspective, employs LLMs to facilitate research, and contributes surveys, perspectives, and datasets on these topics.
  
  > **🔗 Recommended Resource:**  
  > Check out Awesome-LLM-Psychometrics for a comprehensive collection of papers and resources on LLM psychometrics, including evaluation, validation, and enhancement.

  OpenDoneDismiss

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  How to evaluate large language models using social science methodologies?

  you: not recommended
  AI recommended (in order):

  1. Appen
  2. Scale AI
  3. Amazon Mechanical Turk
  4. Qualtrics
  5. SurveyMonkey
  6. Google Forms
  7. NVivo
  8. ATLAS.ti
  9. Dedoose
  10. PsychoPy
  11. OpenSesame
  12. R
  13. Python
  14. SciPy
  15. StatsModels
  16. Pandas
  17. SPSS
  18. Stata
  19. NetLogo
  20. Mesa

  AI recommended 20 alternatives but never named ValueByte-AI/Awesome-LLM-in-Social-Science. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  Where to find research on LLM applications in social psychology and economic modeling?

  you: not recommended
  AI recommended (in order):

  1. Google Scholar
  2. arXiv
  3. SSRN
  4. JSTOR
  5. ACM Digital Library
  6. IEEE Xplore
  7. Nature Human Behaviour
  8. Science
  9. PNAS
  10. Journal of Economic Perspectives
  11. Psychological Science

  AI recommended 11 alternatives but never named ValueByte-AI/Awesome-LLM-in-Social-Science. This is the gap to close.

  Show full AI answer

• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of ValueByte-AI/Awesome-LLM-in-Social-Science?

  pass
  ⚠AI did not name ValueByte-AI/Awesome-LLM-in-Social-Science — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts ValueByte-AI/Awesome-LLM-in-Social-Science in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named ValueByte-AI/Awesome-LLM-in-Social-Science explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo ValueByte-AI/Awesome-LLM-in-Social-Science solve, and who is the primary audience?

  pass
  ⚠AI did not name ValueByte-AI/Awesome-LLM-in-Social-Science — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?