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Scaling requirements extraction to the crowd: Experiments with privacy policies

Travis D. Breaux, Florian Schaub
<span title="">2014</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/35k6qz2nqrfkziwp6ui5gszhbi" style="color: black;">2014 IEEE 22nd International Requirements Engineering Conference (RE)</a> </i> &nbsp;
The task consists of extracting descriptions of data collection, sharing and usage requirements from privacy policies.  ...  To begin to address this issue, we conducted three experiments to evaluate crowdsourcing a manual requirements extraction task to a larger number of untrained workers.  ...  Our results show that for a 1.5:1 cost reduction, we can use crowdsourcing to scale requirements extraction for privacy policies.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/re.2014.6912258">doi:10.1109/re.2014.6912258</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/re/BreauxS14.html">dblp:conf/re/BreauxS14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/j2h7l3bz2fbajmopapgqfsmirm">fatcat:j2h7l3bz2fbajmopapgqfsmirm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150314180018/http://www.cs.cmu.edu:80/~breaux/publications/tdbreaux-re14.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ba/a6/baa676818dcea5f892de53c1b7a408bf2a30ec63.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/re.2014.6912258"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Towards an information type lexicon for privacy policies

Jaspreet Bhatia, Travis D. Breaux
<span title="2015-08-25">2015</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/35k6qz2nqrfkziwp6ui5gszhbi" style="color: black;">2015 IEEE Eighth International Workshop on Requirements Engineering and Law (RELAW)</a> </i> &nbsp;
The lexicon was constructed from 3,850 annotations obtained from crowd workers analyzing 15 privacy policies. An entity extractor was designed to extract entities from these annotations.  ...  Privacy policies serve to inform consumers about a company's data practices, and to protect the company from legal risk due to undisclosed uses of consumer data.  ...  RESULTS OF SCALING REUSABLE LEXICON We now present the results from analyzing the 15 privacy policies, which are listed in Table III and covered three domains: news, shopping, and social networking.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/relaw.2015.7330207">doi:10.1109/relaw.2015.7330207</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/re/BhatiaB15.html">dblp:conf/re/BhatiaB15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lypalz6gvfhytiqmgv5iu3w4se">fatcat:lypalz6gvfhytiqmgv5iu3w4se</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20151007023653/http://www.cs.cmu.edu/~breaux/publications/jbhatia-relaw15.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a5/8c/a58c95b6c6c89c36b6ef4010601406e077987938.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/relaw.2015.7330207"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Opportunities for Understanding MS Mechanisms and Progression With MRI Using Large-Scale Data Sharing and Artificial Intelligence

Hugo Vrenken, Mark Jenkinson, Dzung Pham, Charles R G Guttmann, Deborah Pareto, Michel Paardekooper, Alexandra de Sitter, Maria A Rocca, Viktor Wottschel, M Jorge Cardoso, Frederik Barkhof, MAGNIMS Study Group
<span title="2021-10-04">2021</span> <i title="Ovid Technologies (Wolters Kluwer) - American Academy of Neurology"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dogs2nidlzdtxigbzvv6d2bbc4" style="color: black;">Neurology</a> </i> &nbsp;
This applies from image analysis (lesions, atrophy or functional network changes) to large multi-domain datasets (imaging, cognition, clinical disability, genetics, etc.).After reviewing data-sharing and  ...  Using detailed expert annotations, artificial intelligence algorithms can be trained on such MS-specific data.  ...  A third way to share research data is by using an infrastructure that allows researchers to analyze the data remotely. 53 Such "trusted data ecosystems" at their core are similar to a federated database  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1212/wnl.0000000000012884">doi:10.1212/wnl.0000000000012884</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34607924">pmid:34607924</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8610621/">pmcid:PMC8610621</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/omzknqfwobexrde7unps3vwjcy">fatcat:omzknqfwobexrde7unps3vwjcy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211123092442/https://n.neurology.org/content/neurology/97/21/989.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/44/f2/44f2b619fd7e957a07b5a06c6ff4934ba85e2bf7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1212/wnl.0000000000012884"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610621" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Compliance Generation for Privacy Documents under GDPR: A Roadmap for Implementing Automation and Machine Learning [article]

David Restrepo Amariles, Aurore Clément Troussel, Rajaa El Hamdani
<span title="2020-12-23">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
To comply with data protection laws, data processors must implement accountability measures to assess and document compliance in relation to both privacy documents and privacy practices.  ...  In this paper, we survey, on the one hand, current research on GDPR automation, and on the other hand, the operational challenges corporations face to comply with GDPR, and that may benefit from new forms  ...  Annotation methodologies The most recent research underlines the need for a combination of crowdsourcing, ML, and NLP to analyze privacy policies at a large scale.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2012.12718v1">arXiv:2012.12718v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vkrarme5kzapdhfu4g55oamvr4">fatcat:vkrarme5kzapdhfu4g55oamvr4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201228104049/https://arxiv.org/pdf/2012.12718v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0d/1e/0d1e9281676c32bbdf2acbe43ae1d2144913f105.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2012.12718v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Mining Privacy Goals from Privacy Policies Using Hybridized Task Recomposition

Jaspreet Bhatia, Travis D. Breaux, Florian Schaub
<span title="2016-05-24">2016</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7dwkv5m7lfbbpi6he2w2suk6b4" style="color: black;">ACM Transactions on Software Engineering and Methodology</a> </i> &nbsp;
To help stakeholders extract privacy goals from policies, we introduce a semi-automated framework that combines crowdworker annotations, natural language typed dependency parses and a reusable lexicon  ...  Privacy policies describe high-level goals for corporate data practices, and regulators require industries to make available conspicuous, accurate privacy policies to their customers.  ...  Methods exist that can be used to help regulators and developers analyze privacy policies.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2907942">doi:10.1145/2907942</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qdw3tplfk5d3hklnomsa6jpwey">fatcat:qdw3tplfk5d3hklnomsa6jpwey</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170428190821/http://www.cs.cmu.edu:80/~jbhatia/papers/jbhatia_TOSEM2016.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/46/62/46621e89036d957f7a14978a90c229aeb0eb0077.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2907942"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Crowdsourcing Annotations for Websites' Privacy Policies

Shomir Wilson, Florian Schaub, Rohan Ramanath, Norman Sadeh, Fei Liu, Noah A. Smith, Frederick Liu
<span title="">2016</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Proceedings of the 25th International Conference on World Wide Web - WWW &#39;16</a> </i> &nbsp;
In this paper, we assess the viability of crowdsourcing privacy policy annotations.  ...  Several recent efforts aim to crowdsource the interpretation of privacy policies and use the resulting annotations to build more effective user interfaces that provide users with salient policy summaries  ...  ANALYZING ANNOTATION QUALITY A major objective of our study was to determine to what extent it is possible to reliably crowdsource meaningful privacy policy annotations and more specifically for the annotation  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2872427.2883035">doi:10.1145/2872427.2883035</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/WilsonSRS0SL16.html">dblp:conf/www/WilsonSRS0SL16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hzpey3u5zzdw5pew4tl3dq3ic4">fatcat:hzpey3u5zzdw5pew4tl3dq3ic4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171106004603/https://homes.cs.washington.edu/~nasmith/papers/wilson+etal.www16.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/06/e7/06e7f7823ae4b946624dee0edfaa39639be263fb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2872427.2883035"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Analyzing Privacy Policies Using Contextual Integrity Annotations [article]

Yan Shvartzshnaider, Noah Apthorpe, Nick Feamster, Helen Nissenbaum
<span title="2018-09-06">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We then demonstrate that crowdsourcing can effectively produce CI annotations of privacy policies at scale.  ...  The resulting high precision annotations indicate that crowdsourcing could be used to produce a large corpus of annotated privacy policies for future research.  ...  We demonstrate that crowdsourcing can produce precise CI annotations of legalistic privacy policy excerpts for future CI annotation research at scale.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1809.02236v1">arXiv:1809.02236v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mqmbkljujjgo7lh3bszmo4ffri">fatcat:mqmbkljujjgo7lh3bszmo4ffri</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191018224826/https://arxiv.org/pdf/1809.02236v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f6/04/f60433c1e514bab1ac09f713765213a2199a7215.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1809.02236v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Disagreeable Privacy Policies: Mismatches between Meaning and Userss Understanding

Joel R. Reidenberg, Travis Breaux, Lorrie Faith Cranor, Brian French, Amanda Grannis, James Graves, Fei Liu, Aleecia McDonald, Thomas Norton, Rohan Ramanath, N. Cameron Russell, Norman Sadeh (+1 others)
<span title="">2014</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tol7woxlqjeg5bmzadeg6qrg3e" style="color: black;">Social Science Research Network</a> </i> &nbsp;
First, the common understandings of some attributes of described data practices mean that semi-automated extraction of meaning from website privacy policies may be able to assist typical users and improve  ...  these law and policy researchers with a set of privacy policies from companies in the e-commerce and news & entertainment industries.  ...  Crowdsourcing tasks were created in such a way that we obtained at least five annotations from different crowd workers per policy.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2139/ssrn.2418297">doi:10.2139/ssrn.2418297</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fqy2rooaprdz7dsfrqcacs6dlq">fatcat:fqy2rooaprdz7dsfrqcacs6dlq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200322130858/https://ir.lawnet.fordham.edu/cgi/viewcontent.cgi?article=1618&amp;context=faculty_scholarship" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9b/81/9b8178825da4c94f7fbc071f0e9f07d417e7a822.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2139/ssrn.2418297"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ssrn.com </button> </a>

A Large-Scale Evaluation of U.S. Financial Institutions' Standardized Privacy Notices

Lorrie Faith Cranor, Pedro Giovanni Leon, Blase Ur
<span title="2016-08-26">2016</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vrhm4tt2gndqpmhqnvrccflzrm" style="color: black;">ACM Transactions on the Web</a> </i> &nbsp;
From standards for machine-readable privacy policies, such as the Platform for Privacy Preferences (P3P) [4] , to recent attempts to have humans annotate websites' privacy policies and terms of service  ...  For instance, websites have been found to misuse machine-readable privacy disclosures [27], while attempts to have humans annotate privacy practices do not scale well.  ...  They used automated tools to analyze the data collection, use, and sharing practices encoded in each policy. [6] . Unfortunately, P3P has not been widely adopted [5] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2911988">doi:10.1145/2911988</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kulibudahfffpn5xhhrmf3tpse">fatcat:kulibudahfffpn5xhhrmf3tpse</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20161003151325/http://cups.cs.cmu.edu/bankprivacy/financialnotices-UnderReview.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/88/cf/88cf2cd63fda307dee3ffa4be00cd35d24be6bfd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2911988"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

The Creation and Analysis of a Website Privacy Policy Corpus

Shomir Wilson, Florian Schaub, Aswarth Abhilash Dara, Frederick Liu, Sushain Cherivirala, Pedro Giovanni Leon, Mads Schaarup Andersen, Sebastian Zimmeck, Kanthashree Mysore Sathyendra, N. Cameron Russell, Thomas B. Norton, Eduard Hovy (+2 others)
<span title="">2016</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5n6volmnonf5tn6xputi5f2t3e" style="color: black;">Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</a> </i> &nbsp;
One proposed alternative to the status quo is to automate or semi-automate the extraction of salient details from privacy policy text, using a combination of crowdsourcing, natural language processing,  ...  To remedy this problem, we introduce a corpus of 115 privacy policies (267K words) with manual annotations for 23K fine-grained data practices.  ...  The authors would like to acknowledge the law students at Fordham University and the University of Pittsburgh who worked as annotators to make this corpus possible.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/p16-1126">doi:10.18653/v1/p16-1126</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/acl/WilsonSDLCLAZSR16.html">dblp:conf/acl/WilsonSDLCLAZSR16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/enth4hq22rhx7ixcbvmnjn7cbe">fatcat:enth4hq22rhx7ixcbvmnjn7cbe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200726082609/https://www.aclweb.org/anthology/P16-1126.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e1/48/e14883353786ca0f38f743cc064b1dc4b2ff73bd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/p16-1126"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

"Call me sexist, but...": Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples [article]

Mattia Samory, Indira Sen, Julian Kohne, Fabian Floeck, Claudia Wagner
<span title="2021-06-02">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
From the scales, we derive a codebook for sexism in social media, which we use to annotate existing and novel datasets, surfacing their limitations in breadth and validity with respect to the construct  ...  Research has focused on automated methods to effectively detect sexism online. Although overt sexism seems easy to spot, its subtle forms and manifold expressions are not.  ...  Acknowledgments We are grateful to Anupama Aggarwal for her input on the research design and data collection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.12764v2">arXiv:2004.12764v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/g3sa3dopjrf4dp3xdbjdy2eecq">fatcat:g3sa3dopjrf4dp3xdbjdy2eecq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210611224606/https://arxiv.org/pdf/2004.12764v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3b/6a/3b6af7c3d83f35a1bf3e31239fe535234994251b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.12764v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

PrivOnto: A semantic framework for the analysis of privacy policies

Alessandro Oltramari, Dhivya Piraviperumal, Florian Schaub, Shomir Wilson, Sushain Cherivirala, Thomas B. Norton, N. Cameron Russell, Peter Story, Joel Reidenberg, Norman Sadeh, Mathieu d'Aquin, Sabrina Kirrane (+4 others)
<span title="2018-01-24">2018</span> <i title="IOS Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pcapks3huberdozbvfqowysuly" style="color: black;">Semantic Web Journal</a> </i> &nbsp;
researchers and regulators in the analysis of privacy policies at scale.  ...  PrivOnto has been used to analyze a corpus of over 23,000 annotated data practices, extracted from 115 privacy policies of US-based companies.  ...  The authors would like to acknowledge the entire Usable Privacy Policy Project team for its dedicated work; and especially thank Pedro Giovanni Leon, Mads Schaarup Andersen, and Aswarth Dara for their  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/sw-170283">doi:10.3233/sw-170283</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/s2xxw6i6g5ax7ittoltji63lji">fatcat:s2xxw6i6g5ax7ittoltji63lji</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190302231158/http://pdfs.semanticscholar.org/a3bc/4543d2e0423b93b59704e242a9eaff3de7da.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a3/bc/a3bc4543d2e0423b93b59704e242a9eaff3de7da.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/sw-170283"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Crowd Requirement Rating Technique (CrowdReRaT) Model for Crowd Sourcing

Adetunji Oluwatofunmi, Oyenuga Ebenezer, Otuneme Nzechukwu
<span title="2020-05-15">2020</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
This research work aims at developing a multi-level CrowdRE model known as the Crowd Requirement Rating Technique (CrowdReRaT) that enable annotation of requirements by different crowd members at various  ...  The power of a crowd is in its diversity of expertise and talents however, there is still the challenge of managing the crowd, analyzing, and annotating crowd requirements.  ...  CrowdRE is a term used to identify automated or semi-automated approaches to gather and analyze information from a crowd to derive valid user requirements [6] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2020920178">doi:10.5120/ijca2020920178</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sf2rpiw5hrdbfol2rumwmlhtl4">fatcat:sf2rpiw5hrdbfol2rumwmlhtl4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210813031224/https://www.ijcaonline.org/archives/volume176/number22/oluwatofunmi-2020-ijca-920178.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/de/61/de61497aa3450a941ba6cd01265a5997481ff577.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2020920178"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Smart Flood Resilience: Harnessing Community-Scale Big Data for Predictive Flood Risk Monitoring, Rapid Impact Assessment, and Situational Awareness [article]

Faxi Yuan, Chao Fan, Hamed Farahmand, Natalie Coleman, Amir Esmalian, Cheng-Chun Lee, Flavia I. Patrascu, Cheng Zhang, Shangjia Dong, Ali Mostafavi
<span title="2021-11-18">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The objective of this study is to propose and demonstrate a smart flood resilience framework that leverages heterogeneous community-scale big data and infrastructure sensor data to enhance predictive risk  ...  ; (2) automated rapid impact assessment; (3) predictive infrastructure failure prediction and monitoring; and (4) smart situational awareness capabilities.  ...  Acknowledgements The authors would like to acknowledge funding support from the National Science Foundation CRISP 2.0 Type 2 #1832662 and the X-Grant program (Presidential Excellence Fund) from Texas A  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2111.06461v2">arXiv:2111.06461v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2ugdb6geivdsjp5ypzkspvldey">fatcat:2ugdb6geivdsjp5ypzkspvldey</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211124181340/https://arxiv.org/pdf/2111.06461v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a7/55/a755c2e16c265c29d3f423cb176daec38b16171d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2111.06461v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

APPCorp: A Corpus for Android Privacy Policy Document Structure Analysis [article]

Shuang Liu and Renjie Guo and Baiyang Zhao and Tao Chen and Meishan Zhang
<span title="2020-05-14">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
It is thus important to be able to automatically analyze the document structures of privacy policies to assist user understanding.  ...  However, privacy policies are usually long and vague for end users to read and understand.  ...  Moreover, there is no existing corpus for analyzing the document structures of privacy policy at the paragraph level.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.06945v1">arXiv:2005.06945v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kbwbd467p5e7jkjj4p43wvxzde">fatcat:kbwbd467p5e7jkjj4p43wvxzde</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200528211929/https://arxiv.org/pdf/2005.06945v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/db/9b/db9b17b25a2db26c2be44f5a2c256db6f7e58345.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.06945v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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