Paul Resnick

Paul Resnick

University of Michigan-Dearborn

H-index: 58

North America-United States

About Paul Resnick

Paul Resnick, With an exceptional h-index of 58 and a recent h-index of 35 (since 2020), a distinguished researcher at University of Michigan-Dearborn, specializes in the field of social computing, recommender systems, reputation systems, online communities.

His recent articles reflect a diverse array of research interests and contributions to the field:

Calibrate-Extrapolate: Rethinking Prevalence Estimation with Black Box Classifiers

AppealMod: Inducing Friction to Reduce Moderator Workload of Handling User Appeals

Spot Check Equivalence: an Interpretable Metric for Information Elicitation Mechanisms

How to Train Your YouTube Recommender

Searching for or reviewing evidence improves crowdworkers’ misinformation judgments and reduces partisan bias

Assessment of Discoverability Metrics for Harmful Content

Evaluating longitudinal relationships between parental monitoring and substance use in a multi-year, intensive longitudinal study of 670 adolescent twins

GuesSync!: An Online Casual Game To Reduce Affective Polarization

Paul Resnick Information

University

Position

___

Citations(all)

37446

Citations(since 2020)

8406

Cited By

32834

hIndex(all)

58

hIndex(since 2020)

35

i10Index(all)

110

i10Index(since 2020)

70

Email

University Profile Page

University of Michigan-Dearborn

Google Scholar

View Google Scholar Profile

Paul Resnick Skills & Research Interests

social computing

recommender systems

reputation systems

online communities

Top articles of Paul Resnick

Title

Journal

Author(s)

Publication Date

Calibrate-Extrapolate: Rethinking Prevalence Estimation with Black Box Classifiers

arXiv preprint arXiv:2401.09329

Siqi Wu

Paul Resnick

2024/1/17

AppealMod: Inducing Friction to Reduce Moderator Workload of Handling User Appeals

Proceedings of the ACM on Human-Computer Interaction

Shubham Atreja

Jane Im

Paul Resnick

Libby Hemphill

2024

Spot Check Equivalence: an Interpretable Metric for Information Elicitation Mechanisms

arXiv preprint arXiv:2402.13567

Shengwei Xu

Yichi Zhang

Paul Resnick

Grant Schoenebeck

2024/2/21

How to Train Your YouTube Recommender

arXiv preprint arXiv:2307.14551

Alexander Liu

Siqi Wu

Paul Resnick

2023/7/27

Searching for or reviewing evidence improves crowdworkers’ misinformation judgments and reduces partisan bias

Collective Intelligence

Paul Resnick

Aljohara Alfayez

Jane Im

Eric Gilbert

2023/5/26

Assessment of Discoverability Metrics for Harmful Content

Paul Resnick

Siqi Wu

James Park

2023/12/22

Evaluating longitudinal relationships between parental monitoring and substance use in a multi-year, intensive longitudinal study of 670 adolescent twins

Frontiers in psychiatry

Jordan D Alexander

Samantha M Freis

Stephanie M Zellers

Robin Corley

Amy Ledbetter

...

2023/5/12

GuesSync!: An Online Casual Game To Reduce Affective Polarization

Proceedings of the ACM on Human-Computer Interaction

Ashwin Rajadesingan

Daniel Choo

Jessica Zhang

Mia Inakage

Ceren Budak

...

2023/10/4

Remove, Reduce, Inform: What Actions do People Want Social Media Platforms to Take on Potentially Misleading Content?

Proceedings of the ACM on Human-Computer Interaction

Shubham Atreja

Libby Hemphill

Paul Resnick

2023/10/4

How We Define Harm Impacts Data Annotations: Explaining How Annotators Distinguish Hateful, Offensive, and Toxic Comments

arXiv preprint arXiv:2309.15827

Angela Schöpke-Gonzalez

Siqi Wu

Sagar Kumar

Paul J Resnick

Libby Hemphill

2023/9/12

SIG on Designing for Constructive Conflict

Amanda Baughan

Ashwin Rajadesingan

Alexis Hiniker

Paul Resnick

Amy Bruckman

2022/4/27

Semester-level spacing but not procrastination affected student exam performance

Iman YeckehZaare

Victoria Mulligan

Grace Ramstad

Paul Resnick

2022/3/21

'Walking Into a Fire Hoping You Don't Catch': Strategies and Designs to Facilitate Cross-Partisan Online Discussions

Proceedings of the ACM on Human-Computer Interaction

Ashwin Rajadesingan

Carolyn Duran

Paul Resnick

Ceren Budak

2021/10/18

Survey equivalence: A procedure for measuring classifier accuracy against human labels

arXiv preprint arXiv:2106.01254

Paul Resnick

Yuqing Kong

Grant Schoenebeck

Tim Weninger

2021/6/2

Political discussion is abundant in non-political subreddits (and less toxic)

Proceedings of the International AAAI Conference on Web and Social Media

Ashwin Rajadesingan

Ceren Budak

Paul Resnick

2021/5/22

Cross-Partisan Discussions on YouTube: Conservatives Talk to Liberals but Liberals Don't Talk to Conservatives

Proceedings of the International AAAI Conference on Web and Social Media

Siqi Wu

Paul Resnick

2021/5/22

The shape of educational inequality

Science Advances

Christopher L Quarles

Ceren Budak

Paul Resnick

2020/7/15

Feature-based explanations don't help people detect misclassifications of online toxicity

Proceedings of the international AAAI conference on web and social media

Samuel Carton

Qiaozhu Mei

Paul Resnick

2020/5/26

Quick, community-specific learning: How distinctive toxicity norms are maintained in political subreddits

Proceedings of the International AAAI Conference on Web and Social Media

Ashwin Rajadesingan

Paul Resnick

Ceren Budak

2020/5/26

Qmaps: Engaging students in voluntary question generation and linking

Iman Yeckehzaare

Tirdad Barghi

Paul Resnick

2020/4

See List of Professors in Paul Resnick University(University of Michigan-Dearborn)

Co-Authors

H-index: 117
Robert E. Kraut

Robert E. Kraut

Carnegie Mellon University

H-index: 108
Sara Kiesler

Sara Kiesler

Carnegie Mellon University

H-index: 82
Paul Dourish

Paul Dourish

University of California, Irvine

H-index: 66
Loren Terveen

Loren Terveen

University of Minnesota-Twin Cities

H-index: 60
Qiaozhu Mei

Qiaozhu Mei

University of Michigan

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