mlsanityData to 7 Oct 2026

Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language

arXiv 2403.00994 ↗First posted 1 Mar 2024cs.HC cs.AI cs.CLcited by 6

On the map: LLM reasoning → Clinical and biomedical applications

Abstract (arXiv)

We introduce a multi-step reasoning framework using prompt-based LLMs to examine the relationship between social media language patterns and trends in national health outcomes. Grounded in fuzzy-trace theory, which emphasizes the importance of gists of causal coherence in effective health communication, we introduce Role-Based Incremental Coaching (RBIC), a prompt-based LLM framework, to identify gists at-scale. Using RBIC, we systematically extract gists from subreddit discussions opposing COVID-19 health measures (Study 1). We then track how these gists evolve across key events (Study 2) and assess their influence on online engagement (Study 3). Finally, we investigate how the volume of gists is associated with national health trends like vaccine uptake and hospitalizations (Study 4). Our work is the first to empirically link social media linguistic patterns to real-world public health trends, highlighting the potential of prompt-based LLMs in identifying critical online discussion patterns that can form the basis of public health communication strategies.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Placed in Clinical and biomedical applications, one of 17 directions in LLM reasoning. Builds on 18 of its 126 references that are in the map. First posted on arXiv 1 Mar 2024.

Builds on

18 of 126 references.

References · 18

  1. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  2. 2022Scaling Instruction-Finetuned Language Modelscited by 2,997
  3. 2023ChatGPT Outperforms Crowd-Workers for Text-Annotation Taskscited by 849
  4. 2022ProgPrompt: Generating Situated Robot Task Plans using Large Language Modelscited by 598
  5. 2021AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Promptscited by 265
  6. 2022CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilitiescited by 245
  7. 2016Diachronic Word Embeddings Reveal Statistical Laws of Semantic Changecited by 219
  8. 2021Generated Knowledge Prompting for Commonsense Reasoningcited by 213
  9. 2020Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Taskscited by 136
  10. 2022PromptChainer: Chaining Large Language Model Prompts through Visual Programmingcited by 134
  11. 2023Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledgecited by 32
  12. 2021A Survey on Extraction of Causal Relations from Natural Language Textcited by 25
6 more
  1. 2020Causal BERT : Language models for causality detection between events expressed in textcited by 22
  2. 2021PopBlends: Strategies for Conceptual Blending with Large Language Modelscited by 22
  3. 2021Detecting Community Sensitive Norm Violations in Online Conversationscited by 18
  4. 2022Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discoursecited by 3
  5. 2022The Problem of Semantic Shift in Longitudinal Monitoring of Social Media: A Case Study on Mental Health During the COVID-19 Pandemiccited by 3
  6. 2023Same Words, Different Meanings: Semantic Polarization in Broadcast Media Language Forecasts Polarization on Social Media Discoursecited by 2

Built on by

Cited by year

Citing papers per year: 2025: 6.

6 papers.

  1. 2025Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Reviewcited by 16
  2. 2025How Managers Perceive AI-Assisted Conversational Training for Workplace Communicationcited by 5
  3. 2025A Multi-Level Benchmark for Causal Language Understanding in Social Media Discoursecited by 3
  4. 2025Patients Speak, AI Listens: LLM-based Analysis of Online Reviews Uncovers Key Drivers for Urgent Care Satisfactioncited by 1
  5. 2025Large-Scale Analysis of Online Questions Related to Opioid Use Disorder on Redditcited by 1
  6. 2025Unpacking Generative AI in Education: Computational Modeling of Teacher and Student Perspectives in Social Media Discoursecited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2023Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
  2. 2023Towards Interpretable Mental Health Analysis with Large Language Models
  3. 2024Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study
  4. 2025Cognitive-Mental-LLM: Evaluating Reasoning in Large Language Models for Mental Health Prediction via Online Text
  5. 2026DreamerNLplus: Interpretable Modeling of Mental Health Dynamics from Social Media Timelines using Hybrid Rule-Based and RAG Methods
  6. 2025RephQA: Evaluating Readability of Large Language Models in Public Health Question Answering
  7. 2025Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media
  8. 2025ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data