Soundarya Nurani Sundareswara

dblp:292/2098 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2023
0009-0005-8017-3853ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 3 · 1 first-author · 3 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021
YearPublicationVenuePosition
2023 Privacy Lost and Found: An Investigation at Scale of Web Privacy Policy Availability
abstract
Legal jurisdictions around the world require organisations to post privacy policies on their websites. However, in spite of laws such as GDPR and CCPA reinforcing this requirement, organisations sometimes do not comply, and a variety of semi-compliant failure modes exist. To investigate the landscape of web privacy policies, we crawl the privacy policies from 7 million organisation websites with the goal of identifying when policies are unavailable. We conduct a large-scale investigation of the availability of privacy policies and identify potential reasons for unavailability such as dead links, documents with empty content, documents that consist solely of placeholder text, and documents unavailable in the specific languages offered by their respective websites. We estimate the frequencies of these failure modes and the overall unavailability of privacy policies on the web and find that privacy policies URLs are only available in 34% of websites. Further, 1.37% of these URLs are broken links and 1.23% of the valid links lead to pages without a policy. Further, to enable investigation of privacy policies at scale, we use the capture-recapture technique to estimate the total number of English language privacy policies on the web and the distribution of these documents across top level domains and sectors of commerce. We estimate the lower bound on the number of English language privacy policies to be around 3 million. Finally, we release the CoLIPPs Corpus containing around 600k policies and their metadata consisting of policy URL, length, readability, sector of commerce, and policy crawl date.
Mukund Srinath, Soundarya Nurani Sundareswara, Pranav Venkit, C. Lee Giles, Shomir Wilson
DocEng2
2021 A large-scale exploration of terms of service documents on the web
abstract
Terms of service documents are a common feature of organizations' websites. Although there is no blanket requirement for organizations to provide these documents, their provision often serves essential legal purposes. Users of a website are expected to agree with the contents of a terms of service document, but users tend to ignore these documents as they are often lengthy and difficult to comprehend. As a step towards understanding the landscape of these documents at a large scale, we present a first-of-its-kind terms of service corpus containing 247,212 English language terms of service documents obtained from company websites sampled from Free Company Dataset. We examine the URLs and contents of the documents and find that some websites that purport to post terms of service actually do not provide them. We analyze reasons for unavailability and determine the overall availability of terms of service in a given set of website domains. We also identify that some websites provide an agreement that combines terms of service with a privacy policy, which is often an obligatory separate document. Using topic modeling, we analyze the themes in these combined documents by comparing them with themes found in separate terms of service and privacy policies. Results suggest that such single-page agreements miss some of the most prevalent topics available in typical privacy policies and terms of service documents and that many disproportionately cover privacy policy topics as compared to terms of service topics.
Soundarya Nurani Sundareswara, Mukund Srinath, Shomir Wilson, C. Lee Giles
DocEng1
2021 PrivaSeer: A Privacy Policy Search Engine
Mukund Srinath, Soundarya Nurani Sundareswara, C. Lee Giles, Shomir Wilson
ICWE2