Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Ex-Twit: Explainable Twitter Mining on Health Data
Published in The 7th International Workshop on Natural Language Processing for Social Media (SocialNLP 2019) In conjunction with 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), 1900
Recommended citation: Tunazzina Islam. 7th International Workshop on Natural Language Processing for Social Media (SocialNLP 2019) @ IJCAI-2019
A Machine Learning Approach for Efficient Parallel Simulation of Beam Dynamics on GPUs
Published in ICPP 2017, 1900
Recommended citation: Kamesh Arumugam, Desh Ranjan, Mohammad Zubair, Balsa Terzic, Alexander Godunov, Tunazzina Islam. 46th International Conference on Parallel Processing (ICPP) 2017, pp. 462-471.
REXTAL: Regional Extension of Assemblies Using Linked-Reads
Published in ISBRA 2018, 1900
Recommended citation: Tunazzina Islam, Desh Ranjan, Eleanor Young, Ming Xiao, Mohammad Zubair, Harold Riethman. 14th International Symposium on Bioinformatics Research and Applications (ISBRA) 2018, pp.63-78.
Analysis of Subtelomeric REXTAL Assemblies Using QUAST
Published in , 1900
Recommended citation: Tunazzina Islam, Desh Ranjan, Mohammad Zubair, Eleanor Young, Ming Xiao, Harold Riethman. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2019.
Nanopore Guided Assembly of Segmental Duplications near Telomeres
Published in , 1900
Recommended citation: Eleni Adam, Tunazzina Islam, Desh Ranjan, Harold Riethman. 19th IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2019).
A Method for Characterization of β-strand Twist from a 3-Dimensional Image of a Protein
Published in ACM BCB 2017, 1900
Recommended citation: Tunazzina Islam, Michael Poteat, Jing He. Computational Structural Bioinformatics Workshop (CSBW) 2017 in conjunction with 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) 2017, pp. 650-654.
Quantification of Twist from the Central Lines of β-strands
Published in JCB 2018, 1900
Recommended citation: Tunazzina Islam, Michael Poteat, Jing He. Journal of Computational Biology (JCB) 2018, 25 (1): 114-120.
Yoga-Veganism: Correlation Mining of Twitter Health Data
Published in 8th KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM) @ KDD 2019, 1900
[arXiv] [PDF] [Paperlink] [Slide] [Visualization]
Recommended citation: Tunazzina Islam. In Proceedings of 8th KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM) @ KDD 2019
Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information
Published in 2020 IEEE International Conference on Big Data ([IEEE BigData 2020](https://bigdataieee.org/BigData2020/)), 1900
Recommended citation: Tunazzina Islam, Dan Goldwasser. 2020 IEEE International Conference on Big Data (IEEE BigData 2020)
Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging
Published in 6th AAAI/ACM Conference on AI, Ethics, and Society 2023 ([AIES-2023](https://www.aies-conference.com/2023/)), 1900
Abstract
Climate change is the defining issue of our time, and we are at a defining moment. Various interest groups, social movement organizations, and individuals engage in collective action on this issue on social media. In addition, issue advocacy campaigns on social media often arise in response to ongoing societal concerns, especially those faced by energy industries. Our goal in this paper is to analyze how those industries, their advocacy group, and climate advocacy group use social media to influence the narrative on climate change. In this work, we propose a minimally supervised model soup [57] approach combined with messaging themes to identify the stances of climate ads on Facebook. Finally, we release our stance dataset, model, and set of themes related to climate campaigns for future work on opinion mining and the automatic detection of climate change stances.
Recommended citation: Tunazzina Islam, Ruqi Zhang, Dan Goldwasser. 6th AAAI/ACM Conference on AI, Ethics, and Society 2023 (AIES-2023).
Interactively Uncovering Latent Arguments in Social Media Platforms: A Case Study on the Covid-19 Vaccine Debate
Published in Fourth Workshop on Data Science with Human in the Loop: Language Advances ([DaSH @EMNLP 2022](https://www.dashworkshops.org/emnlp-2022/program), 1900
Recommended citation: Maria Leonor Pacheco, Tunazzina Islam, Lyle Ungar, Ming Yin, Dan Goldwasser. Proceedings of the Fourth Workshop on Data Science with Human in the Loop: Language Advances.
Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision
Published in 2022 IEEE International Conference on Big Data ([IEEE BigData 2022](https://bigdataieee.org/BigData2022/)), 1900
[Paper link] [arXiv] [Slide] [Poster @NLP4PI 2022]
Recommended citation: Tunazzina Islam, Dan Goldwasser. 2022 IEEE International Conference on Big Data (IEEE BigData 2022).
Do You Do Yoga? Understanding Twitter Users’ Types and Motivations using Social and Textual Information
Published in 2021 IEEE 15th International Conference on Semantic Computing ([ICSC 2021](https://www.ieee-icsc.org/)), 1900
Recommended citation: Tunazzina Islam, Dan Goldwasser. 2021 IEEE 15th International Conference on Semantic Computing (ICSC 2021).
A Holistic Framework for Analyzing the COVID-19 Vaccine Debate
Published in Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ([NAACL 2022](https://2022.naacl.org/)), 1900
Recommended citation: Maria Leonor Pacheco*, Tunazzina Islam*, Monal Mahajan, Andrey Shor, Ming Yin, Lyle Ungar, Dan Goldwasser.Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2022), 5821–583.
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections
Published in Findings of the Association for Computational Linguistics: ACL 2023, 1900
Recommended citation: Maria Leonor Pacheco, Tunazzina Islam, Lyle Ungar, Ming Yin, Dan Goldwasser. Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023
Can LLMs Assist Annotators in Identifying Morality Frames? - Case Study on Vaccination Debate on Social Media
Published in 17th ACM Web Science Conference (WebSci 2025), 1900
Recommended citation: Tunazzina Islam, Dan Goldwasser. 17th ACM Web Science Conference (WebSci 2025).
Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation
Published in Preprint 2024, 1900
Recommended citation: Tunazzina Islam, Dan Goldwasser. Preprint 2024.
Discovering Latent Themes in Social Media Messaging: A Machine-in-the-Loop Approach Integrating LLMs
Published in 19th International AAAI Conference on Web and Social Media ([ICWSM-2025](https://www.icwsm.org/2025/index.html/)), 1900
Recommended citation: Tunazzina Islam, Dan Goldwasser. 19th International AAAI Conference on Web and Social Media (ICWSM 2025).
Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy
Published in Findings of 2025 Annual Conference of the Nations of the Americas Chapter of the ACL (NAACL 2025), 1900
Recommended citation: Tunazzina Islam, Dan Goldwasser. Findings of 2025 Annual Conference of the Nations of the Americas Chapter of the ACL (NAACL 2025).
Understanding Microtargeting Pattern on Social Media
Published in 30th AAAI/SIGAI Doctoral Consortium ([AAAI-25 Doctoral Consortium](https://aaai.org/conference/aaai/aaai-25/doctoral-consortium-call/)), 1900
🏆 Won the best poster award in 2025 AAAI/SIGAI Doctoral Consortium
Recommended citation: Tunazzina Islam. AAAI-25 Doctoral Consortium.
Weakly Supervised Learning for Analyzing Political Campaigns on Facebook
Published in 17th International AAAI Conference on Web and Social Media ([ICWSM-2023](https://www.icwsm.org/2023/index.html/)), 1900
Recommended citation: Tunazzina Islam, Shamik Roy, Dan Goldwasser. 17th International AAAI Conference on Web and Social Media (ICWSM 2023).
Understanding Vegan Discourse on Social Media by Leveraging LLMs
Published in Preprint 2025, 1900
Recommended citation: Tunazzina Islam, Dan Goldwasser. Preprint 2025.
Twitter User Representation Using Weakly Supervised Graph Embedding
Published in 16th International AAAI Conference on Web and Social Media ([ICWSM-2022](https://www.icwsm.org/2022/index.html/)), 1900
Recommended citation: Tunazzina Islam, Dan Goldwasser. 16th International AAAI Conference on Web and Social Media (ICWSM-2022), 16(1), 358-369.
Analysis of Twitter Users’ Lifestyle Choices using Joint Embedding Model
Published in 15th International AAAI Conference on Web and Social Media ([ICWSM-2021](https://www.icwsm.org/2021/index.html)), 1900
[Paper link] [arXiv] [Slide] [Research Highlight]
Recommended citation: Tunazzina Islam, Dan Goldwasser. 15th International AAAI Conference on Web and Social Media (ICWSM-2021), 15(1), 242-253.