Jake M. Hofman
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
8
Active years
2009–2026
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CHI | Effects of Generative AI Errors on User Reliance Across Task Difficulty. | Jacy Reese Anthis, Hannah Cha, Solon Barocas, Alexandra Chouldechova, Jake M. Hofman |
| 2025 | ACL | ChatBench: From Static Benchmarks to Human-AI Evaluation. | Serina Chang, Ashton Anderson, Jake M. Hofman |
| 2025 | AIED | Math Education With Large Language Models: Peril or Promise? | Harsh Kumar, David M. Rothschild, Daniel G. Goldstein, Jake M. Hofman |
| 2025 | CHI | Effects of LLM-based Search on Decision Making: Speed, Accuracy, and Overreliance. | Sofia Eleni Spatharioti, David M. Rothschild, Daniel G. Goldstein, Jake M. Hofman |
| 2024 | CHI | Using Open Data to Automatically Generate Localized Analogies. | Sofia Eleni Spatharioti, Daniel G. Goldstein, Jake M. Hofman |
| 2022 | CHI | Putting scientific results in perspective: Improving the communication of standardized effect sizes. | Yea-Seul Kim, Jake M. Hofman, Daniel G. Goldstein |
| 2022 | CHI | Round Numbers Can Sharpen Cognition. | Huy Anh Nguyen, Jake M. Hofman, Daniel G. Goldstein |
| 2022 | CHI | Investigating Perceptual Biases in Icon Arrays. | Cindy Xiong, Ali Sarvghad, Daniel G. Goldstein, Jake M. Hofman, agatay Demiralp |
| 2021 | CHI | Manipulating and Measuring Model Interpretability. | Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake M. Hofman, Jennifer Wortman Vaughan, Hanna M. Wallach |
| 2021 | CHI | Datamations: Animated Explanations of Data Analysis Pipelines. | Xiaoying Pu, Sean Kross, Jake M. Hofman, Daniel G. Goldstein |
| 2020 | CHI | How Visualizing Inferential Uncertainty Can Mislead Readers About Treatment Effects in Scientific Results. | Jake M. Hofman, Daniel G. Goldstein, Jessica Hullman |
| 2020 | WWW | Expanding the Scope of Reproducibility Research Through Data Analysis Replications. | Jake M. Hofman, Daniel G. Goldstein, Siddhartha Sen, Forough Poursabzi-Sangdeh |
| 2018 | CHI | To Put That in Perspective: Generating Analogies that Make Numbers Easier to Understand. | Christopher Riederer, Jake M. Hofman, Daniel G. Goldstein |
| 2016 | CHI | Improving Comprehension of Numbers in the News. | Pablo Javier Barrio, Daniel G. Goldstein, Jake M. Hofman |
| 2016 | WWW | Exploring Limits to Prediction in Complex Social Systems. | Travis Martin, Jake M. Hofman, Amit Sharma, Ashton Anderson, Duncan J. Watts |
| 2015 | UAI | Scalable Recommendation with Hierarchical Poisson Factorization. | Prem Gopalan, Jake M. Hofman, David M. Blei |
| 2013 | WSDM | Sharding social networks. | Quang Duong, Sharad Goel, Jake M. Hofman, Sergei Vassilvitskii |
| 2012 | ICWSM | Who Does What on the Web: A Large-Scale Study of Browsing Behavior. | Sharad Goel, Jake M. Hofman, M. Irmak Sirer |
| 2011 | WWW | Who says what to whom on twitter. | Shaomei Wu, Jake M. Hofman, Winter A. Mason, Duncan J. Watts |
| 2011 | WSDM | Everyone's an influencer: quantifying influence on twitter. | Eytan Bakshy, Jake M. Hofman, Winter A. Mason, Duncan J. Watts |
| 2010 | WWW | Inferring relevant social networks from interpersonal communication. | Munmun De Choudhury, Winter A. Mason, Jake M. Hofman, Duncan J. Watts |
| 2009 | KDD | Characterizing individual communication patterns. | R. Dean Malmgren, Jake M. Hofman, Lus A. Nunes Amaral, Duncan J. Watts |