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Usable Privacy

Join our mailing list! The Usable Privacy Policy research project. Develops methods and techniques to semi-automatically analyze privacy policies with crowdsourcing, natural language processing and machine learning. Explore some of the project’s data and analysis results on this website by seeing different types of data practices highlighted in privacy policies of different websites. The results currently presented on this site were obtained using annotations crowdsourced from law students.

http://explore.usableprivacy.org/

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Usable Privacy | explore.usableprivacy.org Reviews
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Join our mailing list! The Usable Privacy Policy research project. Develops methods and techniques to semi-automatically analyze privacy policies with crowdsourcing, natural language processing and machine learning. Explore some of the project’s data and analysis results on this website by seeing different types of data practices highlighted in privacy policies of different websites. The results currently presented on this site were obtained using annotations crowdsourced from law students.
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Usable Privacy | explore.usableprivacy.org Reviews

https://explore.usableprivacy.org

Join our mailing list! The Usable Privacy Policy research project. Develops methods and techniques to semi-automatically analyze privacy policies with crowdsourcing, natural language processing and machine learning. Explore some of the project’s data and analysis results on this website by seeing different types of data practices highlighted in privacy policies of different websites. The results currently presented on this site were obtained using annotations crowdsourced from law students.

INTERNAL PAGES

explore.usableprivacy.org explore.usableprivacy.org
1

Usable Privacy | About

https://explore.usableprivacy.org/about

Search for a website. The Usable Privacy Policy Project. This NSF Frontier project. Brings together researchers from Carnegie Mellon University. The Center on Law and Information Policy. And the Center for Internet Society. The project builds on recent advances in natural language processing, privacy preference modeling, crowdsourcing, formal methods, and privacy interfaces to overcome this situation. It combines fundamental research with the development of scalable technologies to:. If you have question...

2

Usable Privacy | Coffee Review

https://explore.usableprivacy.org/coffeereview.com

Search for a website. Click a category to filter practice statements. Device identifier (e.g. IP, MAC) (10). User online activity (6). Personal information (generic) (1). Collect on website (39). Tracking on other websites (1). Receive from unnamed third-party (1). Browser/device privacy controls (5). No practice statements fit your filtering criteria. Personal information (generic) (9). User online activity (1). Unnamed third party (7). First party shares data (18). First party shares data (1). The Coff...

3

Usable Privacy | Daily Finance

https://explore.usableprivacy.org/dailyfinance.com

Search for a website. Click a category to filter practice statements. User online activity (12). Device identifier (e.g. IP, MAC) (8). Social media data (1). Receive from unnamed third-party (13). Collect on website (9). Receive from named third-party (7). Tracking on other websites (6). Collect from user on other websites (4). Collect in mobile app (1). No practice statements fit your filtering criteria. User online activity (9). Personal information (generic) (4). Unnamed third party (30). How are user...

4

Usable Privacy | Disney

https://explore.usableprivacy.org/disney.com

Search for a website. Click a category to filter practice statements. Personal information (generic) (34). Device identifier (e.g. IP, MAC) (15). User online activity (7). Social media data (3). Collect on website (43). Collect in mobile app (24). Collect from user on other websites (9). Receive from unnamed third-party (8). Collect on mobile website (3). Tracking on other websites (2). Receive from other parts of company/affiliates (2). Third-party privacy controls (6). First-party privacy controls (3).

5

Usable Privacy | Browse Categories

https://explore.usableprivacy.org/browse/category

Search for a website. Kids and Teens 46. Privacy policy from Aug 11, 2014 with 102 practice statements. Privacy policy from May 1, 2014 with 204 practice statements. Privacy policy with 29 practice statements. Privacy policy from Sep 25, 2014 with 125 practice statements. Privacy policy with 13 practice statements. Privacy policy from Jun 19, 2015 with 222 practice statements. Privacy policy from May 28, 2015 with 68 practice statements. Privacy policy from Jan 1, 2015 with 187 practice statements. Priva...

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normsadeh.com normsadeh.com

Norman Sadeh: Recent News (Short Selection)

http://www.normsadeh.com/recent-news

Recent News (Short Selection). Chairwoman Edith Ramirez mentions our Personalized Privacy Assistant project. In her keynote address at the Technology Policy Institute Aspen Forum. August 2016: Recent coverage in Ed Tech article. Focusing on security and privacy in IoT. July 2016: Our Personalized Privacy Assistant. Is featured on CMU. 8217;s home page. And also in Tech Crunch. June 2016: Our Usable Privacy Policy Project’s. On our Explore.UsablePrivacy.Org. May 2016: Three articles. Ashwini Rao, Florian ...

blog.tomayac.com blog.tomayac.com

blog.tomayac.com » Blog von Thomas Steiner » homoblogiens

http://blog.tomayac.com/index.php

A Look Inside the Think Tank. World Wide Web Conference (WWW2016): Trip Report. Friday, April 22, 2016, 00:47:35. And categorized as Work. Written by Thomas Steiner. Last week, I attended the 25. International World Wide Web Conference ( WWW2016. That took place from April 11 to 15, 2016 in Montréal, Canada. The main proceedings. And the companion proceedings. Are both available online. Google was one of the gold sponsors and Google Director of Research Peter Norvig. Delivered one of the main keynotes.

usableprivacy.org usableprivacy.org

Usable Privacy Policy Project

https://www.usableprivacy.org//activities

OPP-115 Corpus of Annotated Privacy Policies. Our ACL'16 paper provides further details on the corpus and the annotation process. Download the OPP-115 corpus. S Wilson, F. Schaub, A.A. Dara, F. Liu, S.K. Cherivirala, P.G. Leon, M.S. Andersen, S. Zimmeck, K.M. Sathyendra, N.C. Russell, T.B. Norton, E. Hovy, J. Reidenberg, and N. Sadeh. The creation and analysis of a website privacy policy corpus. AAAI Fall Symposium on Privacy and Language Technologies. UPPP Newsletter (June 2016). Florian Schaub co-organ...

usableprivacy.org usableprivacy.org

Usable Privacy Policy Project

https://www.usableprivacy.org/activities

OPP-115 Corpus of Annotated Privacy Policies. Our ACL'16 paper provides further details on the corpus and the annotation process. Download the OPP-115 corpus. S Wilson, F. Schaub, A.A. Dara, F. Liu, S.K. Cherivirala, P.G. Leon, M.S. Andersen, S. Zimmeck, K.M. Sathyendra, N.C. Russell, T.B. Norton, E. Hovy, J. Reidenberg, and N. Sadeh. The creation and analysis of a website privacy policy corpus. AAAI Fall Symposium on Privacy and Language Technologies. UPPP Newsletter (June 2016). Florian Schaub co-organ...

normsadeh.org normsadeh.org

Norman Sadeh: Recent News (Short Selection)

http://www.normsadeh.org/recent-news

Recent News (Short Selection). Chairwoman Edith Ramirez mentions our Personalized Privacy Assistant project. In her keynote address at the Technology Policy Institute Aspen Forum. August 2016: Recent coverage in Ed Tech article. Focusing on security and privacy in IoT. July 2016: Our Personalized Privacy Assistant. Is featured on CMU. 8217;s home page. And also in Tech Crunch. June 2016: Our Usable Privacy Policy Project’s. On our Explore.UsablePrivacy.Org. May 2016: Three articles. Ashwini Rao, Florian ...

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explore.usableprivacy.org explore.usableprivacy.org

Usable Privacy

Join our mailing list! The Usable Privacy Policy research project. Develops methods and techniques to semi-automatically analyze privacy policies with crowdsourcing, natural language processing and machine learning. Explore some of the project’s data and analysis results on this website by seeing different types of data practices highlighted in privacy policies of different websites. The results currently presented on this site were obtained using annotations crowdsourced from law students.

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