1 citations · 2 across the 11 of their papers we have counts for
12 papers
CLUE: Uncovering Social Context for Pragmatic Understanding
Chengfei Wu, Zhaoqing Wu, Dan Goldwasser
Understanding a conversation requires connecting what is said to the speakers' relationships, expectations, and earlier exchanges. Prior work shows that supplying relevant context…
Towards Just-in-Time Adaptive Feedback: Enhancing Student Learning via Knowledge-Grounded LLM
Younghun Lee, Amir Bralin, Nobel Sanjay Rebello +1
Educational interventions are effective tools for enhancing student learning. While Large Language Models (LLMs) allow for generating adaptive feedback at scale, current studies la…
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…
LLM-Human Pipeline for Cultural Context Grounding of Conversations
Rajkumar Pujari, Dan Goldwasser
Conversations often adhere to well-understood social norms that vary across cultures. For example, while "addressing parents by name" is commonplace in the West, it is rare in most…
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…
Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Media
Nikhil Mehta, Dan Goldwasser
The large scale usage of social media, combined with its significant impact, has made it increasingly important to understand it. In particular, identifying user communities, can b…
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…
"We Demand Justice!": Towards Social Context Grounding of Political Texts
Rajkumar Pujari, Chengfei Wu, Dan Goldwasser
Social media discourse frequently consists of 'seemingly similar language used by opposing sides of the political spectrum', often translating to starkly contrasting perspectives.…
"A Tale of Two Movements": Identifying and Comparing Perspectives in #BlackLivesMatter and #BlueLivesMatter Movements-related Tweets using Weakly Supervised Graph-based Structured Prediction
Shamik Roy, Dan Goldwasser
Social media has become a major driver of social change, by facilitating the formation of online social movements. Automatically understanding the perspectives driving the movement…
Interactively Learning Social Media Representations Improves News Source Factuality Detection
Nikhil Mehta, Dan Goldwasser
The rise of social media has enabled the widespread propagation of fake news, text that is published with an intent to spread misinformation and sway beliefs. Rapidly detecting fak…
An Interactive Framework for Profiling News Media Sources
Nikhil Mehta, Dan Goldwasser
The recent rise of social media has led to the spread of large amounts of fake and biased news, content published with the intent to sway beliefs. While detecting and profiling the…