Jevin West - RankMe

31 papers B 3Journal 19Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Industry Influence in High-Profile Social Media Research. CoRR Joseph Bak-Coleman, Jevin West, Cailin O'Connor, Carl T. Bergstrom
2026	—	`conf`	Seven Axioms on the Nature of Generative AI: Laying the Foundation for a Genuine Understanding of Machine Intelligence. HICSS Sandra Peter, Kai Riemer, Jevin West
2026	J	`jnl`	Temporal Narrative Monitoring in Dynamic Information Environments. CoRR David Farr, Stephen Prochaska, Jack Moody, Lynnette Hui Xian Ng, Iain Cruickshank, Kate Starbird, Jevin West
2025	J	`jnl`	Ensemble-Based Uncertainty Quantification for Reliable Large Language Model Classification in Social Data Applications. IEEE Access David Farr, Lynnette Hui Xian Ng, Iain J. Cruickshank, Nico Manzonelli, Nicholas Clark, Kate Starbird, Nathaniel D. Bastian, Jevin West
2025	J	`jnl`	Expert-in-the-Loop Systems with Cross-Domain and In-Domain Few-Shot Learning for Software Vulnerability Detection. CoRR David Farr, Kevin Talty, Alexandra Farr, John Stockdale, Iain Cruickshank, Jevin West
2025	—	`conf`	RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Linguistic Classifiers. COLING (Industry) David Farr, Nico Manzonelli, Iain Cruickshank, Jevin West
2025	J	`jnl`	Simulating Misinformation Vulnerabilities With Agent Personas. CoRR David Farr, Lynnette Hui Xian Ng, Stephen Prochaska, Iain J. Cruickshank, Jevin West
2025	J	`jnl`	The Risks of Industry Influence in Tech Research. CoRR Joseph Bak-Coleman, Cailin O'Connor, Carl T. Bergstrom, Jevin West
2024	J	`jnl`	Disagreement as a way to study misinformation and its effects. CoRR Damian Hodel, Jevin West
2024	B	`conf`	LLM Chain Ensembles for Scalable and Accurate Data Annotation. IEEE Big Data David Farr, Nico Manzonelli, Iain Cruickshank, Kate Starbird, Jevin West
2024	J	`jnl`	LLM Chain Ensembles for Scalable and Accurate Data Annotation. CoRR David Farr, Nico Manzonelli, Iain Cruickshank, Kate Starbird, Jevin West
2024	J	`jnl`	LLM Confidence Evaluation Measures in Zero-Shot CSS Classification. CoRR David Farr, Iain Cruickshank, Nico Manzonelli, Nicholas Clark, Kate Starbird, Jevin West
2024	J	`jnl`	RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Classifiers for Computational Social Science. CoRR David Farr, Nico Manzonelli, Iain Cruickshank, Jevin West
2023	J	`jnl`	Response: Emergent analogical reasoning in large language models. CoRR Damian Hodel, Jevin West
2021	J	`jnl`	Bridger: Toward Bursting Scientific Filter Bubbles and Boosting Innovation via Novel Author Discovery. CoRR Jason Portenoy, Marissa Radensky, Jevin West, Eric Horvitz, Daniel S. Weld, Tom Hope
2020	B	`conf`	Increasing Enrollment by Optimizing Scholarship Allocations Using Machine Learning and Genetic Algorithms. EDM Lovenoor S. Aulck, Dev Nambi, Jevin West
2020	—	`conf`	SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search. EMNLP (Demos) Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S. Weld, Marti A. Hearst, Jevin West
2020	J	`jnl`	SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search. CoRR Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S. Weld, Marti A. Hearst, Jevin West
2020	J	`jnl`	Social Media COVID-19 Misinformation Interventions Viewed Positively, But Have Limited Impact. CoRR Christine Geeng, Tiona Francisco, Jevin West, Franziska Roesner
2019	B	`conf`	Mining University Registrar Records to Predict First-Year Undergraduate Attrition. EDM Lovenoor S. Aulck, Dev Nambi, Nishant Velagapudi, Joshua Blumenstock, Jevin West
2019	—	`conf`	The Demography of the Peripatetic Researcher: Evidence on Highly Mobile Scholars from the Web of Science. SocInfo Samin Aref, Emilio Zagheni, Jevin West
2019	J	`jnl`	The demography of the peripatetic researcher: Evidence on highly mobile scholars from the Web of Science. CoRR Samin Aref, Emilio Zagheni, Jevin West
2018	—	`conf`	Chromatic Structure and Family Resemblance in Large Art Collections - Exemplary Quantification and Visualizations. DH Loan T. Tran, Kelly Park, Po-Shen Lee, Jevin West, Maximilian Schich
2018	J	`jnl`	Is together better? Examining scientific collaborations across multiple authors, institutions, and departments. CoRR Lovenoor S. Aulck, Kishore Vasan, Jevin West
2018	—	`conf`	JCDL 2018 Workshop Proposal - Image Collections: Creation, Organization, Access, and Use. JCDL Wei Lu, Jevin West, Brian C. O'Connor, Krystyna K. Matusiak, Qinghua Zhu, Jason Lu, Jiangping Chen
2018	J	`jnl`	Measuring scientific buzz. CoRR Kishore Vasan, Jevin West
2017	—	`conf`	Improved adaptation in exogenously and endogenously changing environments. ECAL Joshua R. Nahum, Jevin West, Benjamin M. Althouse, Luis Zaman, Charles Ofria, Benjamin Kerr
2017	J	`jnl`	Stem-ming the Tide: Predicting STEM attrition using student transcript data. CoRR Lovenoor S. Aulck, Rohan Aras, Lysia Li, Coulter L'Heureux, Peter Lu, Jevin West
2016	J	`jnl`	Predicting Student Dropout in Higher Education. CoRR Lovenoor S. Aulck, Nishant Velagapudi, Joshua Blumenstock, Jevin West
2014	—	`conf`	Curation and policy issues in collaborative research data management communities: Perspectives from key stakeholders. ASIST Michael Luesebrink, Hong Huang, Kristin Bogdan, Dorothea Salo, Charles Thomas, Jevin West, Lizabeth (Betsy) Wilson
2014	—	`conf`	Theory Identity: A Machine-Learning Approach. HICSS Kai R. Larsen, Dirk S. Hovorka, Jevin West, James R. Birt, James R. Pfaff, Trevor W. Chambers, Zebula R. Sampedro, Nick Zager, Bruce J. Vanstone