Jake M. Hofman

According to our database1, Jake M. Hofman authored at least 22 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


How good is good enough for COVID19 apps? The influence of benefits, accuracy, and privacy on willingness to adopt.
CoRR, 2020

Expanding the Scope of Reproducibility Research Through Data Analysis Replications.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

How Visualizing Inferential Uncertainty Can Mislead Readers About Treatment Effects in Scientific Results.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Manipulating and Measuring Model Interpretability.
CoRR, 2018

To Put That in Perspective: Generating Analogies that Make Numbers Easier to Understand.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

What's Happening and What Happened: Searching the Social Web.
Proceedings of the 2017 ACM on Web Science Conference, 2017

The Structural Virality of Online Diffusion.
Manag. Sci., 2016

Split-door criterion for causal identification: Automatic search for natural experiments.
CoRR, 2016

Exploring Limits to Prediction in Complex Social Systems.
Proceedings of the 25th International Conference on World Wide Web, 2016

Improving Comprehension of Numbers in the News.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Scalable Recommendation with Hierarchical Poisson Factorization.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Estimating the Causal Impact of Recommendation Systems from Observational Data.
Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015

A large-scale exploration of group viewing patterns.
Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Video, 2014

Scalable Recommendation with Poisson Factorization.
CoRR, 2013

Sharding social networks.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Who Does What on the Web: A Large-Scale Study of Browsing Behavior.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Who says what to whom on twitter.
Proceedings of the 20th International Conference on World Wide Web, 2011

Everyone's an influencer: quantifying influence on twitter.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Predicting consumer behavior with Web search.
Proc. Natl. Acad. Sci. USA, 2010

Graphical models for inferring single molecule dynamics.
BMC Bioinform., 2010

Inferring relevant social networks from interpersonal communication.
Proceedings of the 19th International Conference on World Wide Web, 2010

Characterizing individual communication patterns.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009