| 2026 | EACL | BigTokDetect: A Clinically-Informed Vision-Language Modeling Framework for Detecting Pro-Bigorexia Videos on TikTok. | Minh Duc Chu, Kshitij Pawar, Zihao He, Roxanna Sharifi, Ross M. Sonnenblick, Magdalayna Curry, Laura D'Adamo, Lindsay E. Young, Stuart B. Murray, Kristina Lerman |
| 2026 | WWW | Emergence of Structural Disparities in the Web of Scientific Citations. | Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy, Kristina Lerman |
| 2026 | WSDM | Cyberpsychology: Emotion as the Hidden Driver of Social Behavior in Online Networks. | Kristina Lerman |
| 2025 | EMNLP | STEER-BENCH: A Benchmark for Evaluating the Steerability of Large Language Models. | Kai Chen, Zihao He, Taiwei Shi, Kristina Lerman |
| 2025 | EMNLP | Humans Hallucinate Too: Language Models Identify and Correct Subjective Annotation Errors With Label-in-a-Haystack Prompts. | Georgios Chochlakis, Peter Wu, Arjun Bedi, Marcus Ma, Kristina Lerman, Shrikanth Narayanan |
| 2025 | ICASSP | Larger Language Models Don't Care How You Think: Why Chain-of-Thought Prompting Fails in Subjective Tasks. | Georgios Chochlakis, Niyantha Maruthu Pandiyan, Kristina Lerman, Shrikanth Narayanan |
| 2025 | IJCNLP | Estimating Causal Effects of Text Interventions Leveraging LLMs. | Siyi Guo, Myrl G. Marmarelis, Fred Morstatter, Kristina Lerman |
| 2025 | ICWSM | Modeling Information Narrative Evolution on Telegram During the Russia-Ukraine War. | Patrick Grard, Svitlana Volkova, Louis Penafiel, Kristina Lerman, Tim Weninger |
| 2025 | ICWSM | Fear and Loathing on the Frontline: Decoding the Language of Othering by Russia-Ukraine War Bloggers. | Patrick Grard, Tim Weninger, Kristina Lerman |
| 2025 | ICWSM | The Peripatetic Hater: Predicting Movement Among Hate Subreddits. | Daniel Hickey, Daniel M. T. Fessler, Matheus Schmitz, Kristina Lerman, Keith Burghardt |
| 2025 | ICWSM | Polarized Online Discourse on Abortion: Frames and Hostile Expressions Among Liberals and Conservatives. | Ashwin Rao, Rong-Ching Chang, Qiankun Zhong, Kristina Lerman, Magdalena Wojcieszak |
| 2025 | NAACL | Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors. | Georgios Chochlakis, Alexandros Potamianos, Kristina Lerman, Shrikanth Narayanan |
| 2025 | NAACL | Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities. | Minh Duc Chu, Zihao He, Rebecca Dorn, Kristina Lerman |
| 2025 | WWW | In-Group Love, Out-Group Hate: A Framework to Measure Affective Polarization via Contentious Online Discussions. | Buddhika Nettasinghe, Ashwin Rao, Bohan Jiang, Allon G. Percus, Kristina Lerman |
| 2024 | ACII | The Strong Pull of Prior Knowledge in Large Language Models and Its Impact on Emotion Recognition. | Georgios Chochlakis, Alexandros Potamianos, Kristina Lerman, Shrikanth Narayanan |
| 2024 | ACL | Whose Emotions and Moral Sentiments do Language Models Reflect? | Zihao He, Siyi Guo, Ashwin Rao, Kristina Lerman |
| 2024 | CHI | Machine Learning Insights Into Eating Disorder Twitter Communities. | Hsien-Te Kao, Isabel Erickson, Minh Duc Chu, Zihao He, Kristina Lerman, Svitlana Volkova |
| 2024 | EACL | Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities. | Zihao He, Ashwin Rao, Siyi Guo, Negar Mokhberian, Kristina Lerman |
| 2024 | EMNLP | How Susceptible are Large Language Models to Ideological Manipulation? | Kai Chen, Zihao He, Jun Yan, Taiwei Shi, Kristina Lerman |
| 2024 | EMNLP | Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities. | Zihao He, Minh Duc Chu, Rebecca Dorn, Siyi Guo, Kristina Lerman |
| 2024 | ICWSM | Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts. | Keith Burghardt, Ashwin Rao, Georgios Chochlakis, Sabyasachee Baruah, Siyi Guo, Zihao He, Andrew Rojecki, Shrikanth Narayanan, Kristina Lerman |
| 2024 | ICWSM | IsamasRed: A Public Dataset Tracking Reddit Discussions on Israel-Hamas Conflict. | Kai Chen, Zihao He, Keith Burghardt, Jingxin Zhang, Kristina Lerman |
| 2024 | ICWSM | CPL-NoViD: Context-Aware Prompt-Based Learning for Norm Violation Detection in Online Communities. | Zihao He, Jonathan May, Kristina Lerman |
| 2024 | ICWSM | Discovering Collective Narratives Shifts in Online Discussions. | Wanying Zhao, Siyi Guo, Kristina Lerman, Yong-Yeol Ahn |
| 2024 | NAACL | Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks. | Negar Mokhberian, Myrl G. Marmarelis, Frederic R. Hopp, Valerio Basile, Fred Morstatter, Kristina Lerman |
| 2023 | EMNLP | ALCAP: Alignment-Augmented Music Captioner. | Zihao He, Weituo Hao, Wei Tsung Lu, Changyou Chen, Kristina Lerman, Xuchen Song |
| 2023 | ICASSP | Leveraging Label Correlations in a Multi-Label Setting: a Case Study in Emotion. | Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan |
| 2023 | ICASSP | Using Emotion Embeddings to Transfer Knowledge between Emotions, Languages, and Annotation Formats. | Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan |
| 2023 | ICWSM | #RoeOverturned: Twitter Dataset on the Abortion Rights Controversy. | Rong-Ching Chang, Ashwin Rao, Qiankun Zhong, Magdalena Wojcieszak, Kristina Lerman |
| 2023 | ICWSM | A Data Fusion Framework for Multi-Domain Morality Learning. | Siyi Guo, Negar Mokhberian, Kristina Lerman |
| 2022 | AIES | Learning Fairer Interventions. | Yuzi He, Keith Burghardt, Siyi Guo, Kristina Lerman |
| 2022 | ICWSM | Emotion Regulation and Dynamics of Moral Concerns During the Early COVID-19 Pandemic. | Siyi Guo, Keith Burghardt, Ashwin Rao, Kristina Lerman |
| 2022 | SIGIR | Assessing Scientific Research Papers with Knowledge Graphs. | Kexuan Sun, Zhiqiang Qiu, Abel Salinas, Yuzhong Huang, Dong-Ho Lee, Daniel Benjamin, Fred Morstatter, Xiang Ren, Kristina Lerman, Jay Pujara |
| 2021 | ACII | Mitigating the Bias of Heterogeneous Human Behavior in Affective Computing. | Shen Yan, Hsien-Te Kao, Kristina Lerman, Shrikanth Narayanan, Emilio Ferrara |
| 2021 | EMNLP | Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings. | Zihao He, Negar Mokhberian, Antnio Cmara, Andrs Abeliuk, Kristina Lerman |
| 2021 | EMNLP | Speaker Turn Modeling for Dialogue Act Classification. | Zihao He, Leili Tavabi, Kristina Lerman, Mohammad Soleymani |
| 2021 | FDG | Heterogeneous Effects of Software Patches in aMultiplayer Online Battle Arena Game. | Yuzi He, Christopher Tran, Julie Jiang, Keith Burghardt, Emilio Ferrara, Elena Zheleva, Kristina Lerman |
| 2021 | ICWSM | Mapping Moral Valence of Tweets Following The Killing of George Floyd. | J. Hunter Priniski, Negar Mokhberian, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman, Hongjing Lu, P. Jeffrey Brantingham |
| 2020 | AIES | A Geometric Solution to Fair Representations. | Yuzi He, Keith Burghardt, Kristina Lerman |
| 2020 | ICDM | Individualized Context-Aware Tensor Factorization for Online Games Predictions. | Julie Jiang, Kristina Lerman, Emilio Ferrara |
| 2020 | ICWSM | Can Badges Foster a More Welcoming Culture on Q&A Boards? | Tiago Santos, Keith Burghardt, Kristina Lerman, Denis Helic |
| 2020 | WWW | Graph Embedding with Personalized Context Distribution. | Di Huang, Zihao He, Yuzhong Huang, Kexuan Sun, Sami Abu-El-Haija, Bryan Perozzi, Kristina Lerman, Fred Morstatter, Aram Galstyan |
| 2020 | WWW | Challenges in Forecasting Malicious Events from Incomplete Data. | Nazgol Tavabi, Andrs Abeliuk, Negar Mokhberian, Jeremy Abramson, Kristina Lerman |
| 2019 | ICML | MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. | Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan |
| 2019 | ICWSM | Linguistic Cues to Deception: Identifying Political Trolls on Social Media. | Aseel Addawood, Adam Badawy, Kristina Lerman, Emilio Ferrara |
| 2019 | PAAMS | Massive Multi-agent Data-Driven Simulations of the GitHub Ecosystem. | Jim Blythe, John Bollenbacher, Di Huang, Pik-Mai Hui, Rachel Krohn, Diogo Pacheco, Goran Muric, Anna Sapienza, Alexey Tregubov, Yong-Yeol Ahn, Alessandro Flammini, Kristina Lerman, Filippo Menczer, Tim Weninger, Emilio Ferrara |
| 2019 | WWW | Who Falls for Online Political Manipulation? | Adam Badawy, Kristina Lerman, Emilio Ferrara |
| 2019 | WWW | Finding Prerequisite Relations using the Wikipedia Clickstream. | Mohsen Sayyadiharikandeh, Jonathan Gordon, Jos Luis Ambite, Kristina Lerman |
| 2019 | WWW | Characterizing Activity on the Deep and Dark Web. | Nazgol Tavabi, Nathan Bartley, Andrs Abeliuk, Sandeep Soni, Emilio Ferrara, Kristina Lerman |
| 2018 | AAAI | DarkEmbed: Exploit Prediction With Neural Language Models. | Nazgol Tavabi, Palash Goyal, Mohammed Almukaynizi, Paulo Shakarian, Kristina Lerman |
| 2018 | ICWSM | Using Simpson's Paradox to Discover Interesting Patterns in Behavioral Data. | Nazanin Alipourfard, Peter G. Fennell, Kristina Lerman |
| 2018 | ICWSM | Quantifying the Impact of Cognitive Biases in Question-Answering Systems. | Keith Burghardt, Tad Hogg, Kristina Lerman |
| 2018 | ICWSM | Modeling Evolution of Topics in Large-Scale Temporal Text Corpora. | Elaheh Momeni, Shanika Karunasekera, Palash Goyal, Kristina Lerman |
| 2018 | PSB | Democratizing data science through data science training. | John Darrell Van Horn, Lily Fierro, Jeana Kamdar, Jonathan Gordon, Crystal Stewart, Avnish Bhattrai, Sumiko Abe, Xiaoxiao Lei, Caroline O'Driscoll, Aakanchha Sinha, Priyambada Jain, Gully Burns, Kristina Lerman, Jos Luis Ambite |
| 2018 | WWW | Journalism, Misinformation and Fact Checking Chairs' Welcome & Organization. | Giovanni Luca Ciampaglia, Kristina Lerman, Panagiotis Metaxas |
| 2018 | WWW | Towards Quantifying Sampling Bias in Network Inference. | Lisette Espin Noboa, Claudia Wagner, Fariba Karimi, Kristina Lerman |
| 2018 | WWW | DISCOVER: Mining Online Chatter for Emerging Cyber Threats. | Anna Sapienza, Sindhu Kiranmai Ernala, Alessandro Bessi, Kristina Lerman, Emilio Ferrara |
| 2018 | WSDM | Can you Trust the Trend?: Discovering Simpson's Paradoxes in Social Data. | Nazanin Alipourfard, Peter G. Fennell, Kristina Lerman |
| 2017 | AMIA | The BD2K Training Coordinating Center's Data Science Education Platform. | Jos Luis Ambite, Lily T. Fierro, Florian Geigl, Jonathan Gordon, Gully A. P. C. Burns, Kristina Lerman, Jeana Kamdar, Crystal Stewart, Avnish Bhattrai, Xiaoyu Lei, Sumiko Abe, John D. Van Horn |
| 2017 | ICDM | Early Warnings of Cyber Threats in Online Discussions. | Anna Sapienza, Alessandro Bessi, Saranya Damodaran, Paulo Shakarian, Kristina Lerman, Emilio Ferrara |
| 2017 | IJCAI | Deep Context: A Neural Language Model for Large-scale Networked Documents. | Hao Wu, Kristina Lerman |
| 2017 | ICWSM | On Quitting: Performance and Practice in Online Game Play. | Tushar Agarwal, Keith Burghardt, Kristina Lerman |
| 2017 | ICWSM | Dynamics of Content Quality in Collaborative Knowledge Production. | Emilio Ferrara, Nazanin Alipourfard, Keith Burghardt, Chiranth Gopal, Kristina Lerman |
| 2017 | WWW | Taming the Unpredictability of Cultural Markets with Social Influence. | Andrs Abeliuk, Gerardo Berbeglia, Pascal Van Hentenryck, Tad Hogg, Kristina Lerman |
| 2017 | WWW | BD2K ERuDIte: the Educational Resource Discovery Index for Data Science. | Jos Luis Ambite, Lily Fierro, Florian Geigl, Jonathan Gordon, Gully A. P. C. Burns, Kristina Lerman, John D. Van Horn |
| 2017 | WWW | Analyzing Uber's Ride-sharing Economy. | Farshad Kooti, Mihajlo Grbovic, Luca Maria Aiello, Nemanja Djuric, Vladan Radosavljevic, Kristina Lerman |
| 2017 | WWW | Understanding Short-term Changes in Online Activity Sessions. | Farshad Kooti, Karthik Subbian, Winter A. Mason, Lada A. Adamic, Kristina Lerman |
| 2017 | WSDM | iPhone's Digital Marketplace: Characterizing the Big Spenders. | Farshad Kooti, Mihajlo Grbovic, Luca Maria Aiello, Eric Bax, Kristina Lerman |
| 2016 | HCOMP | Leveraging the Contributions of the Casual Majority to Identify Appealing Web Content. | Tad Hogg, Kristina Lerman |
| 2016 | ICWSM | Emotions, Demographics and Sociability in Twitter Interactions. | Kristina Lerman, Megha Arora, Luciano Gallegos, Ponnurangam Kumaraguru, David Garca |
| 2016 | WWW | Geography of Emotion: Where in a City are People Happier? | Luciano Gallegos, Kristina Lerman, Arthur Huang, David Garca |
| 2016 | WSDM | Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior. | Farshad Kooti, Kristina Lerman, Luca Maria Aiello, Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic |
| 2015 | ICWSM | User Effort and Network Structure Mediate Access to Information in Networks. | Jeon-Hyung Kang, Kristina Lerman |
| 2015 | MICCAI | Information-Theoretic Clustering of Neuroimaging Metrics Related to Cognitive Decline in the Elderly. | Madelaine Daianu, Greg Ver Steeg, Adam Mezher, Neda Jahanshad, Talia M. Nir, Xiaoran Yan, Gautam Prasad, Kristina Lerman, Aram Galstyan, Paul M. Thompson |
| 2015 | WWW | Evolution of Conversations in the Age of Email Overload. | Farshad Kooti, Luca Maria Aiello, Mihajlo Grbovic, Kristina Lerman, Amin Mantrach |
| 2014 | ICWSM | Network Weirdness: Exploring the Origins of Network Paradoxes. | Farshad Kooti, Nathan Oken Hodas, Kristina Lerman |
| 2014 | KDD | The interplay between dynamics and networks: centrality, communities, and cheeger inequality. | Rumi Ghosh, Shang-Hua Teng, Kristina Lerman, Xiaoran Yan |
| 2014 | SIGMOD | Tripartite graph clustering for dynamic sentiment analysis on social media. | Linhong Zhu, Aram Galstyan, James Cheng, Kristina Lerman |
| 2013 | AAAI | LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media. | Jeon-Hyung Kang, Kristina Lerman |
| 2013 | CIKM | Scalable mining of social data using stochastic gradient fisher scoring. | Jeon-Hyung Kang, Kristina Lerman |
| 2013 | HCOMP | Using Visibility to Control Collective Attention in Crowdsourcing. | Kristina Lerman, Tad Hogg |
| 2013 | ICDM | Identifying Transformative Scientific Research. | Yi-Hung Huang, Chun-Nan Hsu, Kristina Lerman |
| 2013 | ICWSM | Friendship Paradox Redux: Your Friends Are More Interesting Than You. | Nathan Oken Hodas, Farshad Kooti, Kristina Lerman |
| 2013 | KDD | Network flows and the link prediction problem. | Kanika Narang, Kristina Lerman, Ponnurangam Kumaraguru |
| 2012 | CIKM | A probabilistic approach to mining geospatial knowledge from social annotations. | Suradej Intagorn, Kristina Lerman |
| 2012 | WWW | Using proximity to predict activity in social networks. | Kristina Lerman, Suradej Intagorn, Jeon-Hyung Kang, Rumi Ghosh |
| 2011 | AAAI | Using Conditional Random Fields to Exploit Token Structure and Labels for Accurate Semantic Annotation. | Aman Goel, Craig A. Knoblock, Kristina Lerman |
| 2011 | ICDM | Time-Aware Ranking in Dynamic Citation Networks. | Rumi Ghosh, Tsung-Ting Kuo, Chun-Nan Hsu, Shou-De Lin, Kristina Lerman |
| 2011 | ICWSM | Social Mechanics: An Empirically Grounded Science of Social Media. | Kristina Lerman, Aram Galstyan, Greg Ver Steeg, Tad Hogg |
| 2011 | ICWSM | What Stops Social Epidemics? | Greg Ver Steeg, Rumi Ghosh, Kristina Lerman |
| 2011 | WWW | Pragmatic evaluation of folksonomies. | Denis Helic, Markus Strohmaier, Christoph Trattner, Markus Muhr, Kristina Lerman |
| 2011 | WSDM | A framework for quantitative analysis of cascades on networks. | Rumi Ghosh, Kristina Lerman |
| 2011 | WSDM | A probabilistic approach for learning folksonomies from structured data. | Anon Plangprasopchok, Kristina Lerman, Lise Getoor |
| 2010 | AAAI | Constructing Folksonomies by Integrating Structured Metadata with Relational Clustering. | Anon Plangprasopchok, Kristina Lerman, Lise Getoor |
| 2010 | AAAI | Integrating Structured Metadata with Relational Affinity Propagation. | Anon Plangprasopchok, Kristina Lerman, Lise Getoor |
| 2010 | ICWSM | Social Dynamics of Digg. | Tad Hogg, Kristina Lerman |
| 2010 | ICWSM | Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks. | Kristina Lerman, Rumi Ghosh |
| 2010 | KDD | Analyzing microblogs with affinity propagation. | Jeon-Hyung Kang, Kristina Lerman, Anon Plangprasopchok |
| 2010 | KDD | Growing a tree in the forest: constructing folksonomies by integrating structured metadata. | Anon Plangprasopchok, Kristina Lerman, Lise Getoor |
| 2010 | WWW | Using a model of social dynamics to predict popularity of news. | Kristina Lerman, Tad Hogg |
| 2010 | WWW | Constructing folksonomies by integrating structured metadata. | Anon Plangprasopchok, Kristina Lerman, Lise Getoor |
| 2009 | ICWSM | Leaders and Negotiators: An Influence-based Metric for Rank. | Rumi Ghosh, Kristina Lerman |
| 2009 | ICWSM | Stochastic Models of User-Contributory Web Sites. | Tad Hogg, Kristina Lerman |
| 2009 | WWW | Constructing folksonomies from user-specified relations on flickr. | Anon Plangprasopchok, Kristina Lerman |
| 2008 | ICDM | Exploiting Data Semantics to Discover, Extract, and Model Web Sources. | Jos Luis Ambite, Craig A. Knoblock, Kristina Lerman, Anon Plangprasopchok, Thomas A. Russ, Cenk Gazen, Steven Minton, Mark James Carman |
| 2008 | KDD | Community Detection Using a Measure of Global Influence. | Rumi Ghosh, Kristina Lerman |
| 2007 | ICWSM | Social Networks and Social Information Filtering on Digg. | Kristina Lerman |
| 2007 | ICWSM | Social Browsing on Flickr. | Kristina Lerman, Laurie Jones |
| 2007 | KDD | Dynamics of a Collaborative Rating System. | Kristina Lerman |
| 2006 | AAAI | Automatically Labeling the Inputs and Outputs of Web Services. | Kristina Lerman, Anon Plangprasopchok, Craig A. Knoblock |
| 2004 | SIGMOD | Using the Structure of Web Sites for Automatic Segmentation of Tables. | Kristina Lerman, Lise Getoor, Steven Minton, Craig A. Knoblock |
| 2003 | IROS | Macroscopic analysis of adaptive task allocation in robots. | Kristina Lerman, Aram Galstyan |
| 2001 | IAAI | Electric Elves: Applying Agent Technology to Support Human Organizations. | Hans Chalupsky, Yolanda Gil, Craig A. Knoblock, Kristina Lerman, Jean Oh, David V. Pynadath, Thomas A. Russ, Milind Tambe |
| 2000 | AAAI | Learning the Common Structure of Data. | Kristina Lerman, Steven Minton |