Point, Click, and Vote - The Future of Internet Voting. - R. Michael Alvarez; Thad E. Hall (Brookings Institution Press, 2004)

Electronic elections - the perils and promises of digital democracy. - R. Michael Alvarez; Thad E. Hall (Princeton University Press, 2008)

Assessing the Impact of E-Voting Technologies on Electoral Outcomes: An Analysis of Buenos Aires' 2005 Congressional Election. - Gabriel Katz; R. Michael Alvarez; Ernesto Calvo; Marcelo Escolar; Julia Pomares (Electronic Voting, 2008)

Detecting Voter Fraud in an Electronic Voting Context: An Analysis of the Unlimited Reelection Vote in Venezuela. - Inés Levin; Gabe Cohn; Peter C. Ordeshook; R. Michael Alvarez (EVT/WOTE, 2009)

Assessing Voters' Attitudes towards Electronic Voting in Latin America: Evidence from Colombia's 2007 E-Voting Pilot. - R. Michael Alvarez; Gabriel Katz; Ricardo Llamosa; Hugo E. Martinez (VoteID, 2009)

New Faces, New Voices - The Hispanic Electorate in America. - Marisa A. Abrajano; R. Michael Alvarez (Princeton University Press, 2010)

Voting Technology and the Election Experience: The 2009 Gubernatorial Races in New Jersey and Virginia. - Charles Stewart III; R. Michael Alvarez; Thad E. Hall (Electronic Voting, 2010)

Verifiable Elections and the Public (Dagstuhl Seminar 11281). - R. Michael Alvarez; Josh Benaloh; Alon Rosen; Peter Y. A. Ryan (Dagstuhl Reports, 2011)

From piloting to roll-out: voting experience and trust in the first full e-election in Argentina. - Julia Pomares; Inés Levin; R. Michael Alvarez; Guillermo Lopez Mirau; Teresa Ovejero (EVOTE, 2014)

Do Voters and Poll Workers Differ in their Attitudes Toward E-voting? Evidence from the First E-election in Salta, Argentina. - Julia Pomares; Inés Levin; R. Michael Alvarez (EVT/WOTE, 2014)

Introduction. - R. Michael Alvarez (Computational Social Science, 2016)

Using Machine Learning Algorithms to Detect Election Fraud. - Inés Levin; Julia Pomares; R. Michael Alvarez (Computational Social Science, 2016)

The diffusion of internet voting. Usage patterns of internet voting in Estonia between 2005 and 2015. - Kristjan Vassil; Mihkel Solvak; Priit Vinkel; Alexander H. Trechsel; R. Michael Alvarez (Gov. Inf. Q., 2016)

Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates. - Anqi Liu; Maya Srikanth; Nicholas Adams-Cohen; R. Michael Alvarez; Anima Anandkumar (CoRR, 2019)

Reliable and Efficient Long-Term Twitter Monitoring. - Jian Cao; Nicholas Adams-Cohen; R. Michael Alvarez (CoRR, 2020)

FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated Features. - Yuancheng Xu; Athanasse Zafirov; R. Michael Alvarez; Dan Kojis; Min Tan; Christina M. Ramirez (CoRR, 2020)

Dynamic Social Media Monitoring for Fast-Evolving Online Discussions. - Maya Srikanth; Anqi Liu; Nicholas Adams-Cohen; Jian Cao; R. Michael Alvarez; Anima Anandkumar (KDD, 2021)

Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions. - Rafal Kocielnik; Sara Kangaslahti; Shrimai Prabhumoye; Meena Hari; R. Michael Alvarez; Anima Anandkumar (TL4NLP, 2022)

Fuzzy Forests For Feature Selection in High-Dimensional Survey Data: An Application to the 2020 U.S. Presidential Election. - Sreemanti Dey; R. Michael Alvarez (CoRR, 2022)

The Effect of Misinformation Intervention: Evidence from Trump's Tweets and the 2020 Election. - Zhuofang Li; Jian Cao; Nicholas Adams-Cohen; R. Michael Alvarez (MISDOOM, 2023)

AutoBiasTest: Controllable Sentence Generation for Automated and Open-Ended Social Bias Testing in Language Models. - Rafal Kocielnik; Shrimai Prabhumoye; Vivian Zhang; R. Michael Alvarez; Anima Anandkumar (CoRR, 2023)

Evaluating the Quality of Answers in Political Q&A Sessions with Large Language Models. - R. Michael Alvarez; Jacob Morrier (CoRR, 2024)

Physics-based deep learning reveals rising heating demand heightens air pollution in Norwegian cities. - Cong Cao; Ramit Debnath; R. Michael Alvarez (CoRR, 2024)

Deciphering public attention to geoengineering and climate issues using machine learning and dynamic analysis. - Ramit Debnath; Pengyu Zhang; Tianzhu Qin; R. Michael Alvarez; Shaun D. Fitzgerald (CoRR, 2024)

Uncovering the Effect of Toxicity on Player Engagement and its Propagation in Competitive Online Video Games. - Jacob Morrier; Amine Mahmassani; R. Michael Alvarez (CoRR, 2024)

Uncovering the Viral Nature of Toxicity in Competitive Online Video Games. - Jacob Morrier; Amine Mahmassani; R. Michael Alvarez (CoRR, 2024)

Online Moderation in Competitive Action Games: How Intervention Affects Player Behaviors. - Zhuofang Li; Rafal Kocielnik; Mitchell Linegar; Deshawn Sambrano; Fereshteh Soltani; Min Kim; Nabiha Naqvie; Grant Cahill; Animashree Anandkumar; R. Michael Alvarez (CoRR, 2024)

Challenges in moderating disruptive player behavior in online competitive action games. - Rafal Kocielnik; Zhuofang Li; Claudia Kann; Deshawn Sambrano; Jacob Morrier; Mitchell Linegar; Carly Taylor; Min Kim; Nabiha Naqvie; Feri Soltani; Arman Dehpanah; Grant Cahill; et al. (Frontiers Comput. Sci., 2024)

Off-policy Predictive Control with Causal Sensitivity Analysis. - Myrl G. Marmarelis; Ali Hasan; Kamyar Azizzadenesheli; R. Michael Alvarez; Anima Anandkumar (UAI, 2025)

Bandit Algorithms for Efficient Toxicity Detection in Competitive Online Video Games. - Jacob Morrier; Rafal Kocielnik; R. Michael Alvarez (IEEE Access, 2025)

Reinforcement Learning for Efficient Toxicity Detection in Competitive Online Video Games. - Jacob Morrier; Rafal Kocielnik; R. Michael Alvarez (CoRR, 2025)

Context-Aware Toxicity Detection in Multiplayer Games: Integrating Domain-Adaptive Pretraining and Match Metadata. - Adrien Schurger-Foy; Rafal Kocielnik; Caglar Gulcehre; R. Michael Alvarez (CoRR, 2025)

Self-Anchored Attention Model for Sample-Efficient Classification of Prosocial Text Chat. - Zhuofang Li; Rafal Kocielnik; Fereshteh Soltani; Penphob Boonyarungsrit; Animashree Anandkumar; R. Michael Alvarez (CoRR, 2025)

Prosocial Behavior Detection in Player Game Chat: From Aligning Human-AI Definitions to Efficient Annotation at Scale. - Rafal Kocielnik; Min Kim; Penphob Boonyarungsrit; Fereshteh Soltani; Deshawn Sambrano; Animashree Anandkumar; R. Michael Alvarez (CoRR, 2025)