Publications
Chen, Bin, Lukito, Josephine, and Koo, Gyo Hyun. 2023. “Comparing the #StopTheSteal Movement across Multiple Platforms: Differentiating Discourse on Facebook, Twitter, and Parler.” Social Media + Society 9 (3) :20563051231196879 https://doi.org/10.1177/20563051231196879
Chen, Bin, Murthy, Dhiraj, Kim, Torie (Hyunsik), Kolluri, Nikhil, Won, Cheongeui, Venkatesh, Pranav, and Lukito, Josephine. 2022. “Beyond Racism: Examining interaction between racist speech and misinformation on Parler.”
Chen, Jifan, Kim, Grace, Sriram, Aniruddh, Durrett, Greg, and Choi, Eunsol. 2024. “Complex Claim Verification with Evidence Retrieved in the Wild.” :3569-3587 https://doi.org/10.18653/v1/2024.naacl-long.196
Chen, Jifan, Sriram, Aniruddh, Choi, Eunsol, and Durrett, Greg. 2022. “Generating Literal and Implied Subquestions to Fact-check Complex Claims.” :3495-3516 https://doi.org/10.18653/v1/2022.emnlp-main.229
Cheng, Myra, De-Arteaga, Maria, Mackey, Lester, and Kalai, Adam Tauman. 2023. “Social norm bias: residual harms of fairness-aware algorithms.” Data Mining and Knowledge Discovery https://doi.org/10.1007/s10618-022-00910-8
Das, Anubrata, Gupta, Chitrank, Kovatchev, Venelin, Lease, Matthew, and Li, Junyi Jessy. 2022. “ProtoTEx: Explaining Model Decisions with Prototype Tensors.” http://arxiv.org/abs/2204.05426
Das, Anubrata, Liu, Houjiang, Kovatchev, Venelin, and Lease, Matthew. 2022. “The Need for Human-centered Design in Fact-Checking Research.” https://utexas.app.box.com/v/das-ipmc2022
Das, Anubrata, Liu, Houjiang, Kovatchev, Venelin, and Lease, Matthew. 2023. “The state of human-centered NLP technology for fact-checking.” Information Processing & Management 60 (2) :103219 https://doi.org/10.1016/j.ipm.2022.103219
De-Arteaga, Maria, Jeanselme, Vincent, Dubrawski, Artur, and Chouldechova, Alexandra. 2025. “Leveraging Expert Consistency to Improve Algorithmic Decision Support.” Management Science :mnsc.2022.01576 https://doi.org/10.1287/mnsc.2022.01576
Deck, Luca, Schoeffer, Jakob, De-Arteaga, Maria, and Kühl, Niklas. 2024. “A Critical Survey on Fairness Benefits of Explainable AI.” :1579-1595 https://doi.org/10.1145/3630106.3658990
De‐Arteaga, Maria, Feuerriegel, Stefan, and Saar‐Tsechansky, Maytal. 2022. “Algorithmic fairness in business analytics: Directions for research and practice.” Production and Operations Management 31 (10) :3749-3770 https://doi.org/10.1111/poms.13839
Dhiraj, Murthy, Dasari, Tejna, Vinton, Kami, Lago Arroyo, Fernanda, Li, Catherine, and Clayton, Patricia. 2023. “Using Machine Learning, Social Media Images, and Journalists to Improve Disaster Resilience and Response.” SSRN Electronic Journal https://doi.org/10.2139/ssrn.4326541
Fazelpour, Sina and De-Arteaga, Maria. 2022. “Diversity in sociotechnical machine learning systems.” Big Data & Society 9 (1) :205395172210820 https://doi.org/10.1177/20539517221082027
Gao, Ruijiang, Saar-Tsechansky, Maytal, De-Arteaga, Maria, Han, Ligong, Sun, Wei, Lee, Min Kyung, and Lease, Matthew. 2023. “Learning Complementary Policies for Human-AI Teams.” https://doi.org/10.48550/ARXIV.2302.02944
Goodwin, Anastasia, Joseff, Katie, Riedl, Martin J., Lukito, Josephine, and Woolley, Samuel. “Political Relational Influencers: The Mobilization of Social Media Influencers in the Political Arena.” International Journal of Communication 17 https://ijoc.org/index.php/ijoc/article/view/18987
Govindarajan, Venkata Subrahmanyan, Atwell, Katherine, Sinno, Barea, Alikhani, Malihe, Beaver, David I., and Li, Junyi Jessy. 2023. “How people talk about each other: Modeling Generalized Intergroup Bias and Emotion.” :2496-2506 https://doi.org/10.18653/v1/2023.eacl-main.183
Govindarajan, Venkata Subrahmanyan, Beaver, David, Mahowald, Kyle, and Li, Junyi Jessy. 2023. “Counterfactual Probing for the Influence of Affect and Specificity on Intergroup Bias.” :12853-12862 https://doi.org/10.18653/v1/2023.findings-acl.813
Gupta, Soumyajit, Kovatchev, Venelin, Das, Anubrata, De-Arteaga, Maria, and Lease, Matthew. 2025. “Finding Pareto trade-offs in fair and accurate detection of toxic speech.” Information Research an international electronic journal 30 (iConf) :123-141 https://doi.org/10.47989/ir30iconf47572
Gupta, Soumyajit, Lee, Sooyong, De-Arteaga, Maria, and Lease, Matthew. 2023. “Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection.” :3689-3700 https://doi.org/10.1145/3543507.3583290
Hettiachchi, Danula, Holcombe-James, Indigo, Livingstone, Stephanie, De Silva, Anjalee, Lease, Matthew, Salim, Flora D., and Sanderson, Mark. 2023. “How Crowd Worker Factors Influence Subjective Annotations: A Study of Tagging Misogynistic Hate Speech in Tweets.” Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 11 (1) :38-50 https://doi.org/10.1609/hcomp.v11i1.27546
Holstein, Kenneth, De-Arteaga, Maria, Tumati, Lakshmi, and Cheng, Yanghuidi. 2023. “Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables.” Proceedings of the ACM on Human-Computer Interaction 7 (CSCW1) :1-20 https://doi.org/10.1145/3579628
Jeanselme, Vincent, De-Arteaga, Maria, Zhang, Zhe, Barrett, Jessica, and Tom, Brian. 2022. “Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness.” 193 :12-34 https://doi.org/10.48550/ARXIV.2208.06648
Jia, Chenyan, Boltz, Alexander, Zhang, Angie, Chen, Anqing, and Lee, Min Kyung. 2022. “Understanding Effects of Algorithmic vs. Community Label on Perceived Accuracy of Hyper-partisan Misinformation.” Proceedings of the ACM on Human-Computer Interaction 6 (CSCW2) :1-27 https://doi.org/10.1145/3555096
Joseph, Sebastian Antony, Chen, Lily, Trienes, Jan, Göke, Hannah Louisa, Coers, Monika, Xu, Wei, Wallace, Byron C., and Li, Junyi Jessy. 2024. “FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence.” http://arxiv.org/abs/2402.11456
Kambhatla, Gauri, Lease, Matthew, and Rajadesingan, Ashwin. 2024. “Promoting Constructive Deliberation: Reframing for Receptiveness.” :5110-5132 https://doi.org/10.18653/v1/2024.findings-emnlp.294
Kamoi, Ryo, Goyal, Tanya, and Durrett, Greg. 2023. “Shortcomings of Question Answering Based Factuality Frameworks for Error Localization.” https://doi.org/10.48550/ARXIV.2210.06748
Kamoi, Ryo, Goyal, Tanya, Rodriguez, Juan Diego, and Durrett, Greg. 2023. “WiCE: Real-World Entailment for Claims in Wikipedia.” http://arxiv.org/abs/2303.01432
Kolluri, Akaash, Murthy, Dhiraj, and Vinton, Kami. 2025. “Quantifying the spread of racist content on fringe social media: A case study of Parler.” Big Data & Society 12 (2) :20539517251321752 https://doi.org/10.1177/20539517251321752
Kolluri, Nikhil L. and Murthy, Dhiraj. 2021. “CoVerifi: A COVID-19 news verification system.” Online Social Networks and Media 22 :100123 https://doi.org/10.1016/j.osnem.2021.100123
Kolluri, Nikhil Leland, Liu, Yunong, and Murthy, Dhiraj. 2022. “COVID-19 Misinformation Detection: Machine Learned Solutions to the Infodemic (Preprint).” JMIR Infodemiology https://doi.org/10.2196/38756
Kovatchev, Venelin, Chatterjee, Trina, Govindarajan, Venkata S, Chen, Jifan, Choi, Eunsol, Chronis, Gabriella, Das, Anubrata, Erk, Katrin, Lease, Matthew, Li, Junyi Jessy, Wu, Yating, and Mahowald, Kyle. 2022. “longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks..” :41-52 https://doi.org/10.18653/v1/2022.dadc-1.5
Lee, Taeyoung and Koo, Gyo Hyun. 2022. “What Drives Belief in COVID-19 Conspiracy Theories? Examining the Role of Uncertainty, Negative Emotions, and Perceived Relevance and Threat.” Health Communication :1-11 https://doi.org/10.1080/10410236.2022.2134703
Li, Yunyi, De-Arteaga, Maria, and Saar-Tsechansky, Maytal. 2023. “Mitigating Label Bias via Decoupled Confident Learning.” http://arxiv.org/abs/2307.08945
Li, Yunyi, De-Arteaga, Maria, and Saar-Tsechansky, Maytal. 2022. “More Data Can Lead Us Astray: Active Data Acquisition in the Presence of Label Bias.” https://doi.org/10.48550/ARXIV.2207.07723
Liu, Houjiang, Das, Anubrata, Boltz, Alexander, Zhou, Didi, Pinaroc, Daisy, Lease, Matthew, and Lee, Min Kyung. 2024. “Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI.” Proceedings of the ACM on Human-Computer Interaction 8 (CSCW2) :1-44 https://doi.org/10.1145/3686962
Liu, Houjiang, Gwizdka, Jacek, and Lease, Matthew. 2025. “Exploring Multidimensional Checkworthiness: Designing AI-assisted Claim Prioritization for Human Fact-checkers.” https://doi.org/10.48550/ARXIV.2412.08185
Lukito, Josephine. 2024. “Global Misinformation & Disinformation Special Issue Introduction.” International Journal of Public Opinion Research 36 (3) :edae030 https://doi.org/10.1093/ijpor/edae030
Lukito, Josephine, Cui, Zhe, Hu, An, Lee, Taeyoung, and Ozawa, Joao Vicente Seno. 2022. “States vs. Social Movements: Protests and State Repression in Asia.” Media and Communication 10 (4) https://doi.org/10.17645/mac.v10i4.5623
Lukito, Josephine, Greenfield, Jason, Yang, Yunkang, Dahlke, Ross, Brown, Megan A., Lewis, Rebecca, and Chen, Bin. 2024. “Audio-as-Data Tools: Replicating Computational Data Processing.” Media and Communication 12 :7851 https://doi.org/10.17645/mac.7851
Lukito, Josephine, Gursky, Jacob, Foley, Jordan, Yang, Yunkang, Joseff, Katie, and Borah, Porsmita. 2023. ““No Reason[.] [I]t /Should/ Happen here”: Analyzing Flynn’s Retroactive Doublespeak During a QAnon Event.” Political Communication 40 (5) :576-595 https://doi.org/10.1080/10584609.2023.2185332
Lukito, Josephine, Lee, Taeyoung, Martin, Zelly, Glover, Katlyn, Hu, An, and Cui, Zhe. 2023. “Connective action in Myanmar: a mixed-method analysis of Spring Revolution.” Information, Communication & Society :1-19 https://doi.org/10.1080/1369118X.2023.2289973
Lukito, Josephine, Macdonald, Maggie, Chen, Bin, Brown, Megan A., Prochaska, Stephen, Yang, Yunkang, Greenfield, Jason, Suk, Jiyoun, Zhong, Wei, Dahlke, Ross, and Borah, Porismita. 2025. “Candidates Be Posting: Multi-Platform Strategies and Partisan Preferences in the 2022 U.S. Midterm Elections.” Social Media + Society 11 (2) :20563051251337541 https://doi.org/10.1177/20563051251337541
Murthy, Dhiraj. 2023. ““They’re Coming to Take over Our Country”: Researching Global Circuits of Racist Misinformation.” Social Science Research Council, MediaWell https://mediawell.ssrc.org/articles/theyre-coming-to-take-over-our-country-researching-global-circuits-of-racist-misinformation/
Neumann, Terrence, De-Arteaga, Maria, and Fazelpour, Sina. 2022. “Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms.” :1504-1515 https://doi.org/10.1145/3531146.3533205
Ozawa, Joao V. S., Lukito, Josephine, Lee, Taeyoung, Varma, Anita, and Alves, Rosental. 2023. “Attacks Against Journalists in Brazil: Catalyzing Effects and Resilience During Jair Bolsonaro’s Government.” The International Journal of Press/Politics :19401612231182618 https://doi.org/10.1177/19401612231182618
Pradhan, Vivek Krishna, Schaekermann, Mike, and Lease, Matthew. 2022. “In Search of Ambiguity: A Three-Stage Workflow Design to Clarify Annotation Guidelines for Crowd Workers.” Frontiers in Artificial Intelligence 5 :828187 https://doi.org/10.3389/frai.2022.828187
Rodarte, André K. and Lukito, Josephine. 2025. “Does Social Media Level the Political Field or Reinforce Existing Inequalities? Cartographies of the 2022 Brazilian Election.” Political Communication 42 (3) :382-404 https://doi.org/10.1080/10584609.2024.2439320
Rodarte, André K., Hyunsik Kim, Torie, and Lukito, Josephine. 2023. “Representing “The People”: What Can Social Media Images Reveal About Populist Propaganda in Brazil?.” Social Media + Society 9 (2) :20563051231177962 https://doi.org/10.1177/20563051231177962
Schoeffer, Jakob, De-Arteaga, Maria, and Elmer, Jonathan. 2025. “Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest.” https://doi.org/https://facctconference.org/static/docs/facct2025-206archivalpdfs/facct2025-final355-acmpaginated.pdf
Schoeffer, Jakob, De-Arteaga, Maria, and Kuehl, Niklas. 2022. “On the Relationship Between Explanations, Fairness Perceptions, and Decisions.” http://arxiv.org/abs/2204.13156
Schoeffer, Jakob, De-Arteaga, Maria, and Kühl, Niklas. 2024. “Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making.” :1-18 https://doi.org/10.1145/3613904.3642621
Shi, Li, Bhattacharya, Nilavra, Das, Anubrata, Lease, Matt, and Gwizdka, Jacek. 2022. “The Effects of Interactive AI Design on User Behavior: An Eye-tracking Study of Fact-checking COVID-19 Claims.” :315-320 https://doi.org/10.1145/3498366.3505786
Singh, Smriti, Caragea, Cornelia, and Li, Junyi Jessy. 2023. “Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion.” https://doi.org/10.48550/ARXIV.2311.09602
Sinno, Barea, Oviedo, Bernardo, Atwell, Katherine, Alikhani, Malihe, and Li, Junyi Jessy. 2022. “Political Ideology and Polarization: A Multi-dimensional Approach.” :231-243 https://doi.org/10.18653/v1/2022.naacl-main.17
Sosea, Tiberiu, Pham, Chau, Tekle, Alexander, Caragea, Cornelia, and Li, Junyi Jessy. 2022. “Emotion analysis and detection during COVID-19.” :6938-6947 https://doi.org/10.48550/ARXIV.2107.11020
Su, Yiheng, Li, Junyi Jessy, and Lease, Matthew. 2024. “Wrapper Boxes for Faithful Attribution of Model Predictions to Training Data.” :551-576 https://doi.org/10.18653/v1/2024.blackboxnlp-1.33
Tang, Liyan, Laban, Philippe, and Durrett, Greg. 2024. “MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents.” :8818-8847 https://doi.org/10.18653/v1/2024.emnlp-main.499
Trienes, Jan, Joseph, Sebastian, Schlötterer, Jörg, Seifert, Christin, Lo, Kyle, Xu, Wei, Wallace, Byron C., and Li, Junyi Jessy. 2024. “InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification.” http://arxiv.org/abs/2401.16475
Verma, Nitin, Fleischmann, Kenneth R., Zhou, Le, Xie, Bo, Lee, Min Kyung, Rich, Kate, Shiroma, Kristina, Jia, Chenyan, and Zimmerman, Tara. 2022. “Trust in <span style="font-variant:small-caps;">COVID</span> ‐19 public health information.” Journal of the Association for Information Science and Technology :asi.24712 https://doi.org/10.1002/asi.24712
Wu, Yating, Mangla, Ritika Rajesh, Dimakis, Alex, Durrett, Greg, and Li, Junyi Jessy. 2024. “Which questions should I answer? Salience Prediction of Inquisitive Questions.” :19969-19987 https://doi.org/10.18653/v1/2024.emnlp-main.1114
Zhang, Angie, Boltz, Alexander, Lynn, Jonathan, Wang, Chun-Wei, and Lee, Min Kyung. 2023. “Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data Probes.” :1-19 https://doi.org/10.1145/3544548.3581354
Zhang, Angie, Walker, Olympia, Nguyen, Kaci, Dai, Jiajun, Chen, Anqing, and Lee, Min Kyung. 2023. “Deliberating with AI: Improving Decision-Making for the Future through Participatory AI Design and Stakeholder Deliberation.” Proceedings of the ACM on Human-Computer Interaction 7 (CSCW1) :1-32 https://doi.org/10.1145/3579601
Zhang, Yini, Chen, Fan, and Lukito, Josephine. 2023. “Network Amplification of Politicized Information and Misinformation about COVID-19 by Conservative Media and Partisan Influencers on Twitter.” Political Communication 40 (1) :24-47 https://doi.org/10.1080/10584609.2022.2113844
Zhang, Yini, Lukito, Josephine, Suk, Jiyoun, and McGrady, Ryan. 2024. “Trump, Twitter, and Truth Social: how Trump used both mainstream and alt-tech social media to drive news media attention.” Journal of Information Technology & Politics :1-14 https://doi.org/10.1080/19331681.2024.2328156
Zimmerman, Tara, Shiroma, Kristina, Fleischmann, Kenneth R., Xie, Bo, Jia, Chenyan, Verma, Nitin, and Lee, Min Kyung. 2023. “Misinformation and COVID-19 vaccine hesitancy.” Vaccine 41 (1) :136-144 https://doi.org/10.1016/j.vaccine.2022.11.014