Publications

Evaluating Text-to-Image Platforms’ Content Moderation During the 2024 US Presidential Election

Greene, Kevin T., Sean T. Norton, and Jacob N. Shapiro. "Evaluating Text-to-Image Platforms’ Content Moderation During the 2024 US Presidential Election." Journal of Quantitative Description: Digital Media.

Assessing Free Expression in Generative AI Tools

Greene, Kevin T. and Jacob N. Shapiro. "Assessing Free Expression in Generative AI Tools." That Violates My Polices: AI Laws, Chatbots, and the Future of Free Speech.

Fact-Checks Focus on Famous Politicians, not Partisans

Greene, Kevin T., Nilima Pisharody, Faelynn Carroll and Jacob N. Shapiro. "Fact-Checks Focus on Famous Politicians, not Partisans." PNAS Nexus.

Changes in YouTube’s Content Moderation Policy Had Little Detectable Impact on Election Denial Content

Pisharody, Nilima, Sean Norton, Kevin T. Greene and Jacob N. Shapiro. "Changes in YouTube’s Content Moderation Policy Had Little Detectable Impact on Election Denial Content." AAAI Conference on Web and Social Media (ICWSM) (2025).

Current Engagement with Unreliable Sites from Web Search Driven by Navigational Search

Greene, Kevin T., Nilima Pisharody, Lucas Meyer, Mayana Pereira, Rahul Dodhia, Juan Lavista Ferres, and Jacob N. Shapiro. "Current Engagement with Unreliable Sites from Web Search Driven by Navigational Search." Science Advances (2024).

An Evaluation of Online Information Acquisition in US News Deserts

Greene, Kevin T. Nilima Pisharody, Alonso Guevara. Nathan Evans and Jacob N. Shapiro. "An evaluation of online information acquisition in US news deserts." Scientific Reports 14, (2024): 27780.

Using Website Referrals to Identify Unreliable Content Rabbit Holes

Greene, Kevin T., Mayana Pereira, Nilima Pisharody, Rahul Dodhia, Juan Lavista Ferres, and Jacob N. Shapiro. "Using website referrals to identify unreliable content rabbit holes." Behaviour & Information Technology (2024): 1-10.

Partisan Differences in the Sharing of Low-Quality News Sources by US Political Elites

Greene, Kevin T. "Partisan Differences in the Sharing of Low-Quality News Sources by US Political Elites." Political Communication 41.3 (2024): 373-392.

Introducing ViNSAR: Dyadic Data on Violent Non-State Actor Rivalry

Conrad, J., Greene, K. T., & Phillips, B. J. (2023). Introducing ViNSAR: Dyadic Data on Violent Non-state Actor Rivalry. Journal of Conflict Resolution.

Measuring the Monetization of Online Discourse with Application to Pro- and Anti-Vaccine Communities

Broniatowski, David A., Kevin T. Greene, Nilima Pisharody, Daniel J. Rogers, and Jacob N. Shapiro. "Measuring the monetization strategies of websites with application to pro-and anti-vaccine communities." Scientific reports 13, no. 1 (2023): 15964.

Where is Conflict Research? Western Bias in the Literature on Armed Violence

Phillips, Brian, Kevin Greene. 2022. "Where is Conflict Research? Western Bias in the Literature on Armed Violence." International Studies Review. 24(3).

Linking Terrorist Network Structure to Lethality

Chen, Youdinghuan, Chongyang Gao, Daveed Gartenstein-Ross, Kevin T. Greene, Karin Kalif, Sarit Kraus, Francesco Parisi, Chiara Pulice, Anja Subasic, and V. S. Subrahmanian. "Linking Terrorist Network Structure to Lethality: Algorithms and Analysis of Al Qaeda and ISIS." IEEE Transactions on Computational Social Systems 10, no. 5 (2022): 2814-2826.

Ethnicity, Power, and Militant Group Rivalry

Conrad, Justin, Kevin T. Greene, Brian J. Phillips, and Samantha Daly. "Competition from Within: Ethnicity, Power, and Militant Group Rivalry." Defence and Peace Economics 32, no. 6 (2021): 757-772.

Using Impression Data to Improve Models of Online Social Influence

Liu, Rui, Kevin T. Greene, Ruibo Liu, Mihovil Mandic, Benjamin A. Valentino, Soroush Vosoughi, and V. S. Subrahmanian. "Using impression data to improve models of online social influence." Scientific reports 11, no. 1 (2021): 16613.

Human Rights are (Increasingly) Plural: Learning the Changing Taxonomy of Human Rights From Large-scale Text Reveals Information Effects

Park, Baekkwan, Kevin Greene, Michael Colaresi. 2020. "Human Rights are (Increasingly) Plural: Learning the Changing Taxonomy of Human Rights From Large-scale Text Reveals Information Effects." American Political Science Review. 1(1).

Once More, With Feeling: Using Sentiment Analysis to Improve Models of Relationships Between Non-State Actors

Greene, Kevin, Caleb Lucas. 2020. "Once More, With Feeling: Using Sentiment Analysis to Improve Models of Relationships Between Non-State Actors." International Interactions. 1(1).

How to Teach Machines to Read Human Rights Reports and Identify Judgments at Scale

Park, Baekkwan, Kevin Greene, Michael Colaresi. 2020. "How to Teach Machines to Read Human Rights Reports and Identify Judgments at Scale." Journal of Human Rights. 1(1).

Machine Learning Human Rights and Wrongs: How the Successes and Failures of Supervised Learning Algorithms Can Inform the Debate About Information Effects

Greene, Kevin, Baekkwan Park, Michael Colaresi. 2019. "Machine Learning Human Rights and Wrongs: How the Successes and Failures of Supervised Learning Algorithms Can Inform the Debate About Information Effects." Political Analysis. 1(1).

Rebel Natural Resource Exploitation and Conflict Duration

Conrad, Justin, Kevin Greene, James Igoe Walsh, Beth Elise Whitaker. 2019. "Rebel Natural Resource Exploitation and Conflict Duration." The Journal of Conflict Resolution. 1(1).

Beyond a Bag of Words: Using PULSAR to Extract Judgments on Specific Human Rights at Scale

Park, Baekkwan, Michael Colaresi, Kevin Greene. 2018. "Beyond a Bag of Words: Using PULSAR to Extract Judgments on Specific Human Rights at Scale." Peace Economics, Peace Science and Public Policy. 1(1).

Competition, Differentiation and the Severity of Terrorist Attacks

Conrad, Justin, Kevin Greene. 2015. "Competition, Differentiation and the Severity of Terrorist Attacks." The Journal of Politics. 1(1).