R. Michael Alvarez

43 papers A* 1A 1Journal 27Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond the "Truth": Investigating Election Rumors on Truth Social During the 2024 Election. CoRR Etienne Casanova, R. Michael Alvarez
2026	J	`jnl`	Uncovering the Viral Nature of Toxicity in Competitive Online Video Games. IEEE Trans. Games Jacob Morrier, Amine Mahmassani, R. Michael Alvarez
2026	J	`jnl`	didunit: a unit-level multi-period differences-in-differences estimator in R. SoftwareX Ransi Clark, Jonathan N. Katz, R. Michael Alvarez
2025	J	`jnl`	Analyzing Political Text at Scale with Online Tensor LDA. CoRR Sara Kangaslahti, Danny Ebanks, Jean Kossaifi, Anqi Liu, R. Michael Alvarez, Animashree Anandkumar
2025	J	`jnl`	Bandit Algorithms for Efficient Toxicity Detection in Competitive Online Video Games. IEEE Access Jacob Morrier, Rafal Kocielnik, R. Michael Alvarez
2025	J	`jnl`	Context-Aware Toxicity Detection in Multiplayer Games: Integrating Domain-Adaptive Pretraining and Match Metadata. CoRR Adrien Schurger-Foy, Rafal Kocielnik, Caglar Gulcehre, R. Michael Alvarez
2025	A	`conf`	Off-policy Predictive Control with Causal Sensitivity Analysis. UAI Myrl G. Marmarelis, Ali Hasan, Kamyar Azizzadenesheli, R. Michael Alvarez, Anima Anandkumar
2025	J	`jnl`	Online Moderation in Competitive Action Games: How Intervention Affects Player Behaviors. Proc. ACM Hum. Comput. Interact. Rafal Kocielnik, Zhuofang Li, Mitchell Linegar, Deshawn Sambrano, Fereshteh Soltani, Min Kim, Nabiha Naqvie, Grant Cahill, Animashree Anandkumar, R. Michael Alvarez
2025	J	`jnl`	Prosocial Behavior Detection in Player Game Chat: From Aligning Human-AI Definitions to Efficient Annotation at Scale. CoRR Rafal Kocielnik, Min Kim, Penphob Boonyarungsrit, Fereshteh Soltani, Deshawn Sambrano, Animashree Anandkumar, R. Michael Alvarez
2025	J	`jnl`	Reinforcement Learning for Efficient Toxicity Detection in Competitive Online Video Games. CoRR Jacob Morrier, Rafal Kocielnik, R. Michael Alvarez
2025	J	`jnl`	Self-Anchored Attention Model for Sample-Efficient Classification of Prosocial Text Chat. CoRR Zhuofang Li, Rafal Kocielnik, Fereshteh Soltani, Penphob Boonyarungsrit, Animashree Anandkumar, R. Michael Alvarez
2025	J	`jnl`	The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs. CoRR Pengrui Han, Rafal Kocielnik, Peiyang Song, Ramit Debnath, Dean Mobbs, Anima Anandkumar, R. Michael Alvarez
2024	J	`jnl`	Challenges in moderating disruptive player behavior in online competitive action games. Frontiers Comput. Sci. Rafal Kocielnik, Zhuofang Li, Claudia Kann, Deshawn Sambrano, Jacob Morrier, Mitchell Linegar, Carly Taylor, Min Kim, Nabiha Naqvie, Feri Soltani, Arman Dehpanah, Grant Cahill, Animashree Anandkumar, R. Michael Alvarez
2024	J	`jnl`	Deciphering public attention to geoengineering and climate issues using machine learning and dynamic analysis. CoRR Ramit Debnath, Pengyu Zhang, Tianzhu Qin, R. Michael Alvarez, Shaun D. Fitzgerald
2024	J	`jnl`	Evaluating the Quality of Answers in Political Q&A Sessions with Large Language Models. CoRR R. Michael Alvarez, Jacob Morrier
2024	J	`jnl`	Online Moderation in Competitive Action Games: How Intervention Affects Player Behaviors. CoRR Zhuofang Li, Rafal Kocielnik, Mitchell Linegar, Deshawn Sambrano, Fereshteh Soltani, Min Kim, Nabiha Naqvie, Grant Cahill, Animashree Anandkumar, R. Michael Alvarez
2024	J	`jnl`	Physics-based deep learning reveals rising heating demand heightens air pollution in Norwegian cities. CoRR Cong Cao, Ramit Debnath, R. Michael Alvarez
2024	J	`jnl`	Uncovering the Effect of Toxicity on Player Engagement and its Propagation in Competitive Online Video Games. CoRR Jacob Morrier, Amine Mahmassani, R. Michael Alvarez
2024	J	`jnl`	Uncovering the Viral Nature of Toxicity in Competitive Online Video Games. CoRR Jacob Morrier, Amine Mahmassani, R. Michael Alvarez
2023	J	`jnl`	AutoBiasTest: Controllable Sentence Generation for Automated and Open-Ended Social Bias Testing in Language Models. CoRR Rafal Kocielnik, Shrimai Prabhumoye, Vivian Zhang, R. Michael Alvarez, Anima Anandkumar
2023	—	`conf`	The Effect of Misinformation Intervention: Evidence from Trump's Tweets and the 2020 Election. MISDOOM Zhuofang Li, Jian Cao, Nicholas Adams-Cohen, R. Michael Alvarez
2022	—	`conf`	Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions. TL4NLP Rafal Kocielnik, Sara Kangaslahti, Shrimai Prabhumoye, Meena Hari, R. Michael Alvarez, Anima Anandkumar
2022	J	`jnl`	Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions. CoRR Rafal Kocielnik, Sara Kangaslahti, Shrimai Prabhumoye, Meena Hari, R. Michael Alvarez, Anima Anandkumar
2022	J	`jnl`	Fuzzy Forests For Feature Selection in High-Dimensional Survey Data: An Application to the 2020 U.S. Presidential Election. CoRR Sreemanti Dey, R. Michael Alvarez
2021	A*	`conf`	Dynamic Social Media Monitoring for Fast-Evolving Online Discussions. KDD Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar
2021	J	`jnl`	Dynamic Social Media Monitoring for Fast-Evolving Online Discussions. CoRR Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar
2020	J	`jnl`	FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated Features. CoRR Yuancheng Xu, Athanasse Zafirov, R. Michael Alvarez, Dan Kojis, Min Tan, Christina M. Ramirez
2020	J	`jnl`	Reliable and Efficient Long-Term Twitter Monitoring. CoRR Jian Cao, Nicholas Adams-Cohen, R. Michael Alvarez
2019	J	`jnl`	Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates. CoRR Anqi Liu, Maya Srikanth, Nicholas Adams-Cohen, R. Michael Alvarez, Anima Anandkumar
2016	—	`book`	Computational Social Science: Discovery and Prediction R. Michael Alvarez
2016	—	`ch.`	Introduction. Computational Social Science R. Michael Alvarez
2016	J	`jnl`	The diffusion of internet voting. Usage patterns of internet voting in Estonia between 2005 and 2015. Gov. Inf. Q. Kristjan Vassil, Mihkel Solvak, Priit Vinkel, Alexander H. Trechsel, R. Michael Alvarez
2016	—	`ch.`	Using Machine Learning Algorithms to Detect Election Fraud. Computational Social Science Inés Levin, Julia Pomares, R. Michael Alvarez
2014	—	`conf`	Do Voters and Poll Workers Differ in their Attitudes Toward E-voting? Evidence from the First E-election in Salta, Argentina. EVT/WOTE Julia Pomares, Inés Levin, R. Michael Alvarez
2014	—	`conf`	From piloting to roll-out: voting experience and trust in the first full e-election in Argentina. EVOTE Julia Pomares, Inés Levin, R. Michael Alvarez, Guillermo Lopez Mirau, Teresa Ovejero
2011	J	`jnl`	Verifiable Elections and the Public (Dagstuhl Seminar 11281). Dagstuhl Reports R. Michael Alvarez, Josh Benaloh, Alon Rosen, Peter Y. A. Ryan
2010	—	`book`	New Faces, New Voices - The Hispanic Electorate in America. Marisa A. Abrajano, R. Michael Alvarez
2010	—	`conf`	Voting Technology and the Election Experience: The 2009 Gubernatorial Races in New Jersey and Virginia. Electronic Voting Charles Stewart III, R. Michael Alvarez, Thad E. Hall
2009	—	`conf`	Assessing Voters' Attitudes towards Electronic Voting in Latin America: Evidence from Colombia's 2007 E-Voting Pilot. VoteID R. Michael Alvarez, Gabriel Katz, Ricardo Llamosa, Hugo E. Martinez
2009	—	`conf`	Detecting Voter Fraud in an Electronic Voting Context: An Analysis of the Unlimited Reelection Vote in Venezuela. EVT/WOTE Inés Levin, Gabe Cohn, Peter C. Ordeshook, R. Michael Alvarez
2008	—	`conf`	Assessing the Impact of E-Voting Technologies on Electoral Outcomes: An Analysis of Buenos Aires' 2005 Congressional Election. Electronic Voting Gabriel Katz, R. Michael Alvarez, Ernesto Calvo, Marcelo Escolar, Julia Pomares
2008	—	`book`	Electronic elections - the perils and promises of digital democracy. R. Michael Alvarez, Thad E. Hall
2004	—	`book`	Point, Click, and Vote - The Future of Internet Voting. R. Michael Alvarez, Thad E. Hall