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title: "Social Media Mining for Health Research and Applications"
description: "All 40 papers of Social Media Mining for Health Research and Applications Workshop and Shared Tasks 2024, the most cited first; those with…"
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# Social Media Mining for Health Research and Applications Workshop and Shared Tasks 2024: all accepted papers

40 papers · the most cited first · [← Social Media Mining for Health Research and Applications Workshop and Shared Tasks 2024](https://md.research.elamur.ai/free/en/venues/smm4h/2024/)

1. **[1024m at SMM4H 2024: Tasks 3, 5 & 6 - Self Reported Health Text Classification through Ensembles ↗](https://aclanthology.org/2024.smm4h-1.20/)**Ram Kadiyala, M.V.P. Rao
2. **[712forTask7 at \#SMM4H 2024 Task 7: Classifying Spanish Tweets Annotated by Humans versus Machines with BETO Models ↗](https://aclanthology.org/2024.smm4h-1.35/)**Hafizh Yusuf, David Belmonte, Dalton Simancek et al.
3. **[AAST-NLP@\#SMM4H'24: Finetuning Language Models for Exact Age Classification and Effect of Outdoor Spaces on Social Anxiety ↗](https://aclanthology.org/2024.smm4h-1.25/)**Ahmed El-Sayed, Omar Nasr, Noha Tawfik
4. **[ADE Oracle at \#SMM4H 2024: A Two-Stage NLP System for Extracting and Normalizing Adverse Drug Events from Tweets ↗](https://aclanthology.org/2024.smm4h-1.27/)**Andrew Davis, Billy Dickson, Sandra Kübler
5. **[BIT@UA at \#SMM4H 2024 Tasks 1 and 5: finding adverse drug events and children's medical disorders in English tweets](https://md.research.elamur.ai/free/en/papers/afonso-2024-bit-ua-smm4h-2024-tasks/)**Luís Carlos Afonso, João Rafael Almeida, Rui Antunes et al.*our summary*
6. **[BrainStorm @ iREL at \#SMM4H 2024: Leveraging Translation and Topical Embeddings for Annotation Detection in Tweets ↗](https://aclanthology.org/2024.smm4h-1.28/)**Manav Chaudhary, Harshit Gupta, Vasudeva Varma
7. **[CTYUN-AI@SMM4H-2024: Knowledge Extension Makes Expert Models ↗](https://aclanthology.org/2024.smm4h-1.2/)**Yuming Fan, Dongming Yang, Lina Cao
8. **[CogAI@SMM4H 2024: Leveraging BERT-based Ensemble Models for Classifying Tweets on Developmental Disorders ↗](https://aclanthology.org/2024.smm4h-1.26/)**Liza Dahiya, Rachit Bagga
9. **[DILAB at \#SMM4H 2024: Analyzing Social Anxiety Effects through Context-Aware Transfer Learning on Reddit Data ↗](https://aclanthology.org/2024.smm4h-1.4/)**Sheikh Rahman, Azmine Toushik Wasi
10. **[DILAB at \#SMM4H 2024: RoBERTa Ensemble for Identifying Children's Medical Disorders in English Tweets ↗](https://aclanthology.org/2024.smm4h-1.3/)**Azmine Toushik Wasi, Sheikh Rahman
11. **[Deloitte at \#SMM4H 2024: Can GPT-4 Detect COVID-19 Tweets Annotated by Itself? ↗](https://aclanthology.org/2024.smm4h-1.18/)**Harika Abburi, Nirmala Pudota, Balaji Veeramani et al.
12. **[Dolomites@\#SMM4H 2024: Helping LLMs “Know The Drill” in Low-Resource Settings - A Study on Social Media Posts ↗](https://aclanthology.org/2024.smm4h-1.5/)**Giuliano Tortoreto, Seyed Mahed Mousavi
13. **[Enhancing Social Media Health Prediction Certainty by Integrating Large Language Models with Transformer Classifiers ↗](https://aclanthology.org/2024.smm4h-1.16/)**Sedigh Khademi, Christopher Palmer, Muhammad Javed et al.
14. **[Experimenting with Transformer-based and Large Language Models for Classifying Effects of Outdoor Spaces on Social Anxiety in Social Media Data ↗](https://aclanthology.org/2024.smm4h-1.21/)**Falwah Alhamed, Julia Ive, Lucia Specia
15. **[FORCE: A Benchmark Dataset for Foodborne Disease Outbreak and Recall Event Extraction from News ↗](https://aclanthology.org/2024.smm4h-1.38/)**Sudeshna Jana, Manjira Sinha, Tirthankar Dasgupta
16. **[Golden_Duck at \#SMM4H 2024: A Transformer-based Approach to Social Media Text Classification ↗](https://aclanthology.org/2024.smm4h-1.7/)**Md Ayon Mia, Mahshar Yahan, Hasan Murad et al.
17. **[HBUT at \#SMM4H 2024 Task1: Extraction and Normalization of Adverse Drug Events with a Large Language Model ↗](https://aclanthology.org/2024.smm4h-1.11/)**Yuanzhi Ke, Hanbo Jin, Xinyun Wu et al.
18. **[HBUT at \#SMM4H 2024 Task2: Cross-lingual Few-shot Medical Entity Extraction using a Large Language Model ↗](https://aclanthology.org/2024.smm4h-1.13/)**Yuanzhi Ke, Zhangju Yin, Xinyun Wu et al.
19. **[HaleLab_NITK@SMM4H'24: Binary classification of English tweets reporting children's medical disorders](https://md.research.elamur.ai/free/en/papers/mahajan-2024-halelab-nitk-smm4h-24-binary/)**Ritik Mahajan, Sowmya S.*our summary*
20. **[IITRoorkee@SMM4H 2024 Cross-Platform Age Detection in Twitter and Reddit Using Transformer-Based Model ↗](https://aclanthology.org/2024.smm4h-1.23/)**Thadavarthi Sankar, Dudekula Suraj, Mallamgari Reddy et al.
21. **[IMS_medicALY at \#SMM4H 2024: Detecting Impacts of Outdoor Spaces on Social Anxiety with Data Augmented Ensembling ↗](https://aclanthology.org/2024.smm4h-1.19/)**Amelie Wuehrl, Lynn Greschner, Yarik Menchaca Resendiz et al.
22. **[KUL@SMM4H2024: Optimizing Text Classification with Quality-Assured Augmentation Strategies ↗](https://aclanthology.org/2024.smm4h-1.33/)**Sumam Francis, Marie-Francine Moens
23. **[LHS712NV at \#SMM4H 2024 Task 4: Using BERT to classify Reddit posts on non-medical substance use ↗](https://aclanthology.org/2024.smm4h-1.34/)**Valeria Fraga, Neha Nair, Dalton Simancek et al.
24. **[LHS712_ADENotGood at \#SMM4H 2024 Task 1: Deep-LLMADEminer: A deep learning and LLM pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter ↗](https://aclanthology.org/2024.smm4h-1.30/)**Yifan Zheng, Jun Gong, Shushun Ren et al.
25. **[LT4SG@SMM4H'24: Tweets Classification for Digital Epidemiology of Childhood Health Outcomes Using Pre-Trained Language Models ↗](https://aclanthology.org/2024.smm4h-1.9/)**Dasun Athukoralage, Thushari Atapattu, Menasha Thilakaratne et al.
26. **[Overview of \#SMM4H 2024 – Task 2: Cross-Lingual Few-Shot Relation Extraction for Pharmacovigilance in French, German, and Japanese ↗](https://aclanthology.org/2024.smm4h-1.39/)**Lisa Raithel, Philippe Thomas, Bhuvanesh Verma et al.
27. **[Overview of the 9th Social Media Mining for Health Applications (\#SMM4H) Shared Tasks at ACL 2024 – Large Language Models and Generalizability for Social Media NLP ↗](https://aclanthology.org/2024.smm4h-1.40/)**Dongfang Xu, Guillermo Garcia, Lisa Raithel et al.
28. **[PCIC at SMM4H 2024: Enhancing Reddit Post Classification on Social Anxiety Using Transformer Models and Advanced Loss Functions ↗](https://aclanthology.org/2024.smm4h-1.14/)**Leon Hecht, Victor Pozos, Helena Gomez Adorno et al.
29. **[PolyuCBS at SMM4H 2024: LLM-based Medical Disorder and Adverse Drug Event Detection with Low-rank Adaptation ↗](https://aclanthology.org/2024.smm4h-1.17/)**Zhai Yu, Xiaoyi Bao, Emmanuele Chersoni et al.
30. **[RIGA at SMM4H-2024 Task 1: Enhancing ADE discovery with GPT-4 ↗](https://aclanthology.org/2024.smm4h-1.6/)**Eduards Mukans, Guntis Barzdins
31. **[SMM4H 2024: 5 Fold Cross Validation for Classification of tweets reporting children's disorders ↗](https://aclanthology.org/2024.smm4h-1.12/)**Lipika Dey, B Naik, Oppangi Poojita et al.
32. **[SMM4H'24 Task6 : Extracting Self-Reported Age with LLM and BERTweet: Fine-Grained Approaches for Social Media Text ↗](https://aclanthology.org/2024.smm4h-1.24/)**Jaskaran Singh, Jatin Bedi, Maninder Kaur
33. **[SRCB at \#SMM4H 2024: Making Full Use of LLM-based Data Augmentation in Adverse Drug Event Extraction and Normalization ↗](https://aclanthology.org/2024.smm4h-1.8/)**Hongyu Li, Yuming Zhang, Yongwei Zhang et al.
34. **[TLab at \#SMM4H 2024: Retrieval-Augmented Generation for ADE Extraction and Normalization ↗](https://aclanthology.org/2024.smm4h-1.36/)**Jacob Berkowitz, Apoorva Srinivasan, Jose Miguel Acitores Cortina et al.
35. **[Team Yseop at \#SMM4H 2024: Multilingual Pharmacovigilance Named Entity Recognition and Relation Extraction ↗](https://aclanthology.org/2024.smm4h-1.32/)**Anubhav Gupta
36. **[ThangDLU at \#SMM4H 2024: Encoder-decoder models for classifying text data on social disorders in children and adolescents ↗](https://aclanthology.org/2024.smm4h-1.1/)**Thang Ta, Abu Rahman, Lotfollah Najjar et al.
37. **[Transformers at \#SMM4H 2024: Identification of Tweets Reporting Children's Medical Disorders And Effects of Outdoor Spaces on Social Anxiety Symptoms on Reddit Using RoBERTa ↗](https://aclanthology.org/2024.smm4h-1.15/)**Kriti Singhal, Jatin Bedi
38. **[UKYNLP@SMM4H2024: Language Model Methods for Health Entity Tagging and Classification on Social Media (Tasks 4 & 5) ↗](https://aclanthology.org/2024.smm4h-1.29/)**Motasem Obeidat, Vinu Ekanayake, Md Sultan Al Nahian et al.
39. **[UTRad-NLP at \#SMM4H 2024: Why LLM-Generated Texts Fail to Improve Text Classification Models ↗](https://aclanthology.org/2024.smm4h-1.10/)**Yosuke Yamagishi, Yuta Nakamura
40. **[interrupt-driven@SMM4H'24: Relevance-weighted Sentiment Analysis of Reddit Posts ↗](https://aclanthology.org/2024.smm4h-1.22/)**Jessica Elliott, Roland Elliott
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