cd /news/large-language-models/the-utility-of-llm-text-generation-i… · home topics large-language-models article
[ARTICLE · art-92014] src=aclanthology.org ↗ pub= topic=large-language-models verified=true sentiment=· neutral

The Utility of LLM Text Generation in Longitudinal Psychological Datasets

Researchers Jari Zegers and Bennett Kleinberg found limited evidence that large language model (LLM) text generation can predict psychological variables in longitudinal datasets, but observed topic differences between generated and ground-truth texts. In a study presented at the First Workshop on Integrating NLP and Psychology to Study Social Interactions (NLPSI) @ICWSM ’25 in Copenhagen, Denmark, in June 2025, they prompted an LLM with three waves of texts from a longitudinal panel dataset to generate a wave 4 text, then compared generated texts to ground truth using cosine similarity on embeddings. The study, published by the Association for the Advancement of Artificial Intelligence (AAAI) on pages 92–94, found no significant association between text similarity and psychological variables, leaving the explanation for text differences under investigation.

read1 min views1 publishedAug 5, 2026
The Utility of LLM Text Generation in Longitudinal Psychological Datasets
Image: Aclanthology (auto-discovered)
Abstract

As part of this ongoing work, we prompted an LLM with three waves of texts from a longitudinal panel dataset to generate a text for wave 4. We compared generated to ground truth texts using cosine similarity on embeddings and tested whether text similarity was associated with psychological variables. We found limited evidence for an association but do find differences in the topics used in generated versus ground-truth texts. An explanation for differences in text similarities remains the subject of ongoing investigation.- Anthology ID:

- 2025.nlpsi-1.10
- Volume:
[Proceedings of the First Workshop on Integrating NLP and Psychology to Study Social Interactions (NLPSI) @ICWSM ’25](/volumes/2025.nlpsi-1/)- Month:
[NLPSI](/venues/nlpsi/)|[WS](/venues/ws/)- SIG:
- Publisher:
  • Association for the Advancement of Artificial Intelligence (www.aaai.org)
- Note:
- Pages:
  • 92–94
- Language:
- URL:
[https://aclanthology.org/2025.nlpsi-1.10/](https://aclanthology.org/2025.nlpsi-1.10/)- DOI:
[10.36190/2025.39](https://doi.org/10.36190/2025.39)- Cite (ACL):
  • Jari Zegers and Bennett Kleinberg. 2025. The Utility of LLM Text Generation in Longitudinal Psychological Datasets. InProceedings of the First Workshop on Integrating NLP and Psychology to Study Social Interactions (NLPSI) @ICWSM ’25, pages 92–94, Copenhagen, Denmark. Association for the Advancement of Artificial Intelligence (www.aaai.org). - Cite (Informal):
[The Utility of LLM Text Generation in Longitudinal Psychological Datasets](https://aclanthology.org/2025.nlpsi-1.10/)(Zegers & Kleinberg, NLPSI 2025)- PDF:
[https://aclanthology.org/2025.nlpsi-1.10.pdf](https://aclanthology.org/2025.nlpsi-1.10.pdf)
── more in #large-language-models 4 stories · sorted by recency
── more on @jari zegers 3 stories trending now
sponsored brought to you by zahid.host 4,200+ EU-deployed projects
reading about agents? ship yours in a single git push.

Run your AI side-project on zahid.host

EU-based hosting, git-push deploys, automatic HTTPS, no cold starts. Free tier with a custom domain — perfect for shipping the agent you just read about.

$git push zahid main
Live at https://your-agent.zahid.host
Get free account → Pricing
from €0/mo · no card required
LIVE [news/the-utility-of-llm-t…] indexed:0 read:1min 2026-08-05 ·