activity
20182023
most citedDark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites

705 citations · 974 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CY2023

Targeted and Troublesome: Tracking and Advertising on Children's Websites

Zahra Moti, Asuman Senol, Hamid Bostani +4

On the modern web, trackers and advertisers frequently construct and monetize users' detailed behavioral profiles without consent. Despite various studies on web tracking mechanism…

cs.LG2021★ 8 cited

Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers

Kenny Peng, Arunesh Mathur, Arvind Narayanan

Machine learning datasets have elicited concerns about privacy, bias, and unethical applications, leading to the retraction of prominent datasets such as DukeMTMC, MS-Celeb-1M, and…

cs.HC2021★ 3 cited

What Makes a Dark Pattern... Dark? Design Attributes, Normative Considerations, and Measurement Methods

Arunesh Mathur, Jonathan Mayer, Mihir Kshirsagar

There is a rapidly growing literature on dark patterns, user interface designs -- typically related to shopping or privacy -- that researchers deem problematic. Recent work has bee…

cs.HC2020★ 25 cited

You, Me, and IoT: How Internet-Connected Consumer Devices Affect Interpersonal Relationships

Noah Apthorpe, Pardis Emami-Naeini, Arunesh Mathur +2

Internet-connected consumer devices have rapidly increased in popularity; however, relatively little is known about how these technologies are affecting interpersonal relationships…

cs.HC2019★ 705 cited

Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites

Arunesh Mathur, Gunes Acar, Michael J. Friedman +4

Dark patterns are user interface design choices that benefit an online service by coercing, steering, or deceiving users into making unintended and potentially harmful decisions. W…

cs.HC2018★ 76 cited

Endorsements on Social Media: An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest

Arunesh Mathur, Arvind Narayanan, Marshini Chetty

Online advertisements that masquerade as non-advertising content pose numerous risks to users. Such hidden advertisements appear on social media platforms when content creators or…

cs.CY2018★ 134 cited

Discovering Smart Home Internet of Things Privacy Norms Using Contextual Integrity

Noah Apthorpe, Yan Shvartzshnaider, Arunesh Mathur +2

The proliferation of Internet of Things (IoT) devices for consumer "smart" homes raises concerns about user privacy. We present a survey method based on the Contextual Integrity (C…

cs.CR2018★ 16 cited

Quantifying Users' Beliefs about Software Updates

Arunesh Mathur, Nathan Malkin, Marian Harbach +2

Software updates are critical to the performance, compatibility, and security of software systems. However, users do not always install updates, leaving their machines vulnerable t…

cs.SI2018★ 7 cited

An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest

Arunesh Mathur, Arvind Narayanan, Marshini Chetty

While disclosures relating to various forms of Internet advertising are well established and follow specific formats, endorsement marketing disclosures are often open-ended in natu…