English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The enforcement of the GDPR led to the widespread adoption of consentnotices, colloquially known as cookie banners. Studies have shown that manywebsite operators do not comply with the law and track users prior to anyinteraction with the consent notice, or attempt to trick users into givingconsent through dark patterns. Previous research has relied on manually curatedfilter lists or automated detection methods limited to a subset of websites,making research on GDPR compliance of consent notices tedious or limited. Wepresent \emph{cookiescanner}, an automated scanning tool that detects andextracts consent notices via various methods and checks if they offer a declineoption or use color diversion. We evaluated cookiescanner on a random sample ofthe top 10,000 websites listed by Tranco. We found that manually curated filterlists have the highest precision but recall fewer consent notices than ourkeyword-based methods. Our BERT model achieves high precision for Englishnotices, which is in line with previous work, but suffers from low recall dueto insufficient candidate extraction. While the automated detection of declineoptions proved to be challenging due to the dynamic nature of many sites,detecting instances of different colors of the buttons was successful in mostcases. Besides systematically evaluating our various detection techniques, wehave manually annotated 1,000 websites to provide a ground-truth baseline,which has not existed previously. Furthermore, we release our code and theannotated dataset in the interest of reproducibility and repeatability.

Cookiescanner: An Automated Tool for Detecting and Evaluating GDPR Consent Notices on Websites