Search for: "Arunesh Mathur"
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9 Jul 2019, 7:09 am
by Michael Swart, Arunesh Mathur, and Marshini Chetty Ever watched a video on YouTube and wondered if the YouTuber was paid for endorsing a product? [read post]
11 May 2018, 5:12 am
By Arunesh Mathur, Arvind Narayanan and Marshini Chetty In a recent paper, we analyzed affiliate marketing on YouTube and Pinterest. [read post]
10 Jul 2018, 8:45 am
by Noah Apthorpe, Yan Shvartzshnaider, Arunesh Mathur, Nick Feamster Privacy concerns surrounding disruptive technologies such as the Internet of Things (and, in particular, connected smart home devices) have been prevalent in public discourse, with privacy violations from these devices occurring frequently. [read post]
26 Mar 2018, 3:22 am
By Arunesh Mathur, Arvind Narayanan and Marshini Chetty YouTube has millions of videos similar in spirit to this one: The video reviews Blue Apron—an online grocery service—describing how it is efficient and cheaper than buying groceries at the store. [read post]
21 Oct 2020, 10:11 am
This post describes ongoing research by Kenny Peng, Arunesh Mathur, and Arvind Narayanan. [read post]
18 Sep 2019, 12:21 pm
By Hooman Mohajeri Moghaddam, Gunes Acar, Ben Burgess, Arunesh Mathur, Danny Y. [read post]
27 May 2022, 9:01 pm
Websites frequently use dark patterns, Arunesh Mathur of Princeton University and his coauthors assert in an article in the Proceedings of the ACM on Human Computer Interaction. [read post]
15 Jan 2020, 10:30 am
Felten, Arunesh Mathur, Arvind Narayanan, Victor Ongkowijaya, Matthew J. [read post]
3 May 2021, 8:55 am
Although many of the panelists used terms like “manipulative tactics” or “deceptive practices” to describe dark patterns, one of the most comprehensive definitions came from Arunesh Mathur, a Postdoctoral Research Fellow at Princeton University, who described six attributes that make up dark patterns: Deceptive — Induces false beliefs. [read post]
12 Apr 2022, 8:40 am
My comments on the panel were based on a recent study by researchers Kenny Peng, Arunesh Mathur, and me (NeurIPS ‘21) on the potential harms of AI. [read post]
