21 citations · 86 across the 21 of their papers we have counts for
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Pareto-Guided Teacher Alignment for Fair Personalized Text Generation
Tunazzina Islam
Personalized persuasive text generation can improve relevance and engagement, but demographic conditioning may also introduce unequal framing across groups. We study fairness mitig…
Reasoning-Based Refinement of Unsupervised Text Clusters with LLMs
Tunazzina Islam
Unsupervised methods are widely used to induce latent semantic structure from large text collections, yet their outputs often contain incoherent, redundant, or poorly grounded clus…
Retrieval Improvements Do Not Guarantee Better Answers: A Study of RAG for AI Policy QA
Saahil Mathur, Ryan David Rittner, Vedant Ajit Thakur +2
Retrieval-augmented generation (RAG) systems are increasingly used to analyze complex policy documents, but achieving sufficient reliability for expert usage remains challenging in…
Who Gets Which Message? Auditing Demographic Bias in LLM-Generated Targeted Text
Tunazzina Islam
Large language models (LLMs) are increasingly capable of generating personalized, persuasive text at scale, raising new questions about bias and fairness in automated communication…
Paid Voices vs. Public Feeds: Interpretable Cross-Platform Theme-Based Analysis of Climate Discourse
Samantha Sudhoff, Pranav Perumal, Zhaoqing Wu +1
Climate discourse online shapes public understanding of climate change and informs political and policy debate, yet it unfolds across structurally different environments: paid adve…
Iterative Topic Taxonomy Induction with LLMs: A Case Study of Electoral Advertising
Alexander Brady, Tunazzina Islam
Social media platforms play a pivotal role in shaping political discourse, but the scale and rapid evolution of online content make systematic analysis difficult. We introduce an e…
Can LLMs Assist Annotators in Identifying Morality Frames? -- Case Study on Vaccination Debate on Social Media
Tunazzina Islam, Dan Goldwasser
Nowadays, social media is pivotal in shaping public discourse, especially on polarizing issues like vaccination, where diverse moral perspectives influence individual opinions. In…
Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation
Tunazzina Islam, Dan Goldwasser
Climate change communication on social media increasingly employs microtargeting strategies to effectively reach and influence specific demographic groups. This study presents a po…
Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy
Tunazzina Islam, Dan Goldwasser
The widespread use of social media has led to a surge in popularity for automated methods of analyzing public opinion. Supervised methods are adept at text categorization, yet the…
Discovering Latent Themes in Social Media Messaging: A Machine-in-the-Loop Approach Integrating LLMs
Tunazzina Islam, Dan Goldwasser
Grasping the themes of social media content is key to understanding the narratives that influence public opinion and behavior. The thematic analysis goes beyond traditional topic-l…
Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging
Tunazzina Islam, Ruqi Zhang, Dan Goldwasser
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 acti…
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections
Maria Leonor Pacheco, Tunazzina Islam, Lyle Ungar +2
Experts across diverse disciplines are often interested in making sense of large text collections. Traditionally, this challenge is approached either by noisy unsupervised techniqu…
Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision
Tunazzina Islam, Dan Goldwasser
In the age of social media, where billions of internet users share information and opinions, the negative impact of pandemics is not limited to the physical world. It provokes a su…
Weakly Supervised Learning for Analyzing Political Campaigns on Facebook
Tunazzina Islam, Shamik Roy, Dan Goldwasser
Social media platforms are currently the main channel for political messaging, allowing politicians to target specific demographics and adapt based on their reactions. However, mak…
A Holistic Framework for Analyzing the COVID-19 Vaccine Debate
Maria Leonor Pacheco, Tunazzina Islam, Monal Mahajan +4
The Covid-19 pandemic has led to infodemic of low quality information leading to poor health decisions. Combating the outcomes of this infodemic is not only a question of identifyi…
Twitter User Representation Using Weakly Supervised Graph Embedding
Tunazzina Islam, Dan Goldwasser
Social media platforms provide convenient means for users to participate in multiple online activities on various contents and create fast widespread interactions. However, this ra…
Analysis of Twitter Users' Lifestyle Choices using Joint Embedding Model
Tunazzina Islam, Dan Goldwasser
Multiview representation learning of data can help construct coherent and contextualized users' representations on social media. This paper suggests a joint embedding model, incorp…
Do You Do Yoga? Understanding Twitter Users' Types and Motivations using Social and Textual Information
Tunazzina Islam, Dan Goldwasser
Leveraging social media data to understand people's lifestyle choices is an exciting domain to explore but requires a multiview formulation of the data. In this paper, we propose a…
Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information
Tunazzina Islam, Dan Goldwasser
Although yoga is a multi-component practice to hone the body and mind and be known to reduce anxiety and depression, there is still a gap in understanding people's emotional state…
Ex-Twit: Explainable Twitter Mining on Health Data
Tunazzina Islam
Since most machine learning models provide no explanations for the predictions, their predictions are obscure for the human. The ability to explain a model's prediction has become…
Yoga-Veganism: Correlation Mining of Twitter Health Data
Tunazzina Islam
Nowadays social media is a huge platform of data. People usually share their interest, thoughts via discussions, tweets, status. It is not possible to go through all the data manua…