About Me

mug-shotI'm a graduate student in the Department of Computer Science at Princeton University. I'm part of the Princeton HCI group, the Princeton Security & Privacy group, and a Graduate Student Fellow at the Center for Information Technology and Policy (CITP).

I am broadly interested in the privacy, transparency and accountability issues surrounding social computing systems. My research spans human-computer interaction and machine learning, and often intersects with policy.

At Princeton, I work with Marshini Chetty and Arvind Narayanan.


Discovering Smart Home Internet of Things Privacy Norms Using Contextual Integrity.

Noah Apthorpe, Yan Shvartzshnaider, Arunesh Mathur, Dillon Reisman, Nick Feamster

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp 2018)

An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest.

Arunesh Mathur, Arvind Narayanan, Marshini Chetty

IEEE Workshop on Technology and Consumer Protection (ConPro 2018)

Quantifying Users' Beliefs about Software Updates.

Arunesh Mathur, Nathan Malkin, Marian Harbach, Eyal Peer, Serge Egelman

Workshop on Usable Security (USEC 2018)

Talk slides

Impact of User Characteristics on Attitudes Towards Automatic Mobile Application Updates.

Arunesh Mathur, Marshini Chetty

Thirteenth USENIX Symposium on Usable Privacy and Security (SOUPS 2017)

Talk slides

Personalized Security Messaging: Nudges for Compliance with Browser Warnings.

Nathan Malkin, Arunesh Mathur, Serge Egelman, Marian Harbach

Proceedings of the European Workshop on Usable Security (EuroUSEC 2017)

A Human-Centered Approach to Improving the User Experience of Software Updates.

Arunesh Mathur

Master's Thesis, University of Maryland, College Park (2016)

"They Keep Coming Back Like Zombies": Improving Software Update Interfaces.

Arunesh Mathur, Josefine Engel, Sonam Sobti, Victoria Chang, Marshini Chetty

Twelfth Symposium on Usable Privacy and Security (SOUPS 2016)

Talk slides

A Mixed-Methods Study of Mobile Users' Data Usage Practices in South Africa.

Arunesh Mathur, Brent Schlotfeldt, Marshini Chetty

ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015)

Talk slides

An Empirical Study of License Violations in Open Source Projects.

Arunesh Mathur, Harshal Choudhary, Priyank Vashist, William Thies, Santhi Thilagam

35th Annual IEEE Software Engineering Workshop (SEW 2012)

Talk slides


PewDiePie and other vloggers fail to disclose adverts.

The Times

April 2, 2018

Researchers Find Social Media Influencers Are Not Disclosing Sponsorships.

Fox News

March 29, 2018

Sites And Paid Content.

Fox News

March 29, 2018

Princeton study finds very few affiliate marketers make required disclosures on YouTube and Pinterest.

News Today USA

March 28, 2018

90% of Affiliate Links on YouTube and Pinterest Are Not Disclosed.


March 28, 2018

Study discovers vast majority of affiliate marketing links are not disclosed.

Influencer Update

March 28, 2018

Study: Most YouTube influencers still don't disclose sponsored deals.


March 28, 2018

Princeton study finds very few affiliate marketers make required disclosures on YouTube and Pinterest.


March 28, 2018

YouTube and Pinterest Influencers Almost Never Disclose Marketing Relationships.


March 27, 2018

Millions of YouTube product reviews may flout advertising rules.

New Scientist

March 27, 2018

90 percent of affiliate ads on YouTube and Pinterest aren’t disclosed, says study.

The Verge

March 27, 2018

Kaun Banega Entrepreneur?.

DNA India

June 7, 2010

Enterprising Foursome.

The Times of India

June 6, 2010