📰 Social Media Mining for Health Research and Applications Workshop and Shared Tasks 2024 — accepted papers

Social Media Mining for Health Research and Applications Workshop and Shared Tasks 2024 is the 2024 edition of the Social Media Mining for Health Research and Applications Workshop and Shared Tasks, held in Bangkok, Thailand, August 2024 (publisher: Association for Computational Linguistics). The ACL Anthology lists 40 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Bangkok, Thailand · 🗓 August 2024

All accepted papers (40)

The most cited first; 2 with our summary link to their page here, the others to the original.

1. 1024m at SMM4H 2024: Tasks 3, 5 & 6 - Self Reported Health Text Classification through Ensembles ↗Ram Kadiyala, M.V.P. Rao
2. 712forTask7 at \#SMM4H 2024 Task 7: Classifying Spanish Tweets Annotated by Humans versus Machines with BETO Models ↗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 ↗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 ↗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 tweetsLuís 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 ↗Manav Chaudhary, Harshit Gupta, Vasudeva Varma
7. CTYUN-AI@SMM4H-2024: Knowledge Extension Makes Expert Models ↗Yuming Fan, Dongming Yang, Lina Cao
8. CogAI@SMM4H 2024: Leveraging BERT-based Ensemble Models for Classifying Tweets on Developmental Disorders ↗Liza Dahiya, Rachit Bagga
9. DILAB at \#SMM4H 2024: Analyzing Social Anxiety Effects through Context-Aware Transfer Learning on Reddit Data ↗Sheikh Rahman, Azmine Toushik Wasi
10. DILAB at \#SMM4H 2024: RoBERTa Ensemble for Identifying Children's Medical Disorders in English Tweets ↗Azmine Toushik Wasi, Sheikh Rahman
11. Deloitte at \#SMM4H 2024: Can GPT-4 Detect COVID-19 Tweets Annotated by Itself? ↗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 ↗Giuliano Tortoreto, Seyed Mahed Mousavi
13. Enhancing Social Media Health Prediction Certainty by Integrating Large Language Models with Transformer Classifiers ↗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 ↗Falwah Alhamed, Julia Ive, Lucia Specia
15. FORCE: A Benchmark Dataset for Foodborne Disease Outbreak and Recall Event Extraction from News ↗Sudeshna Jana, Manjira Sinha, Tirthankar Dasgupta
16. Golden_Duck at \#SMM4H 2024: A Transformer-based Approach to Social Media Text Classification ↗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 ↗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 ↗Yuanzhi Ke, Zhangju Yin, Xinyun Wu et al.
19. HaleLab_NITK@SMM4H'24: Binary classification of English tweets reporting children's medical disordersRitik Mahajan, Sowmya S.our summary
20. IITRoorkee@SMM4H 2024 Cross-Platform Age Detection in Twitter and Reddit Using Transformer-Based Model ↗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 ↗Amelie Wuehrl, Lynn Greschner, Yarik Menchaca Resendiz et al.
22. KUL@SMM4H2024: Optimizing Text Classification with Quality-Assured Augmentation Strategies ↗Sumam Francis, Marie-Francine Moens
23. LHS712NV at \#SMM4H 2024 Task 4: Using BERT to classify Reddit posts on non-medical substance use ↗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 ↗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 ↗Dasun Athukoralage, Thushari Atapattu, Menasha Thilakaratne et al.

See all 40 papers in Social Media Mining for Health Research and Applications Workshop and Shared Tasks 2024 — accepted papers →

📄 Papers with our summary in our library (2)

The most cited first (OpenAlex citations plus our library's).

1. BIT@UA at #SMM4H 2024 Tasks 1 and 5: finding adverse drug events and children's medical disorders in English tweetsSocial Media Mining for Health Research and Applications Workshop and Shared TasksLuís Carlos Afonso, João Rafael Almeida, Rui Antunes, et al.2024 · 1 citation
2. HaleLab_NITK@SMM4H'24: Binary classification of English tweets reporting children's medical disordersSocial Media Mining for Health Research and Applications Workshop and Shared TasksRitik Mahajan, Sowmya S.2024 · 1 citation

🧭 Top topics

Topics of its works in our library, with the number of works on each.

English (2)

📚 Fields

💭Psychology (2)🧬Biochemistry, Genetics and Molecular Biology (1)🖥️Computer Science (1)💊Pharmacology, Toxicology and Pharmaceutics (1)

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓National Institute of Technology KarnatakaMangaluru · India1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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