PRIVACY POLICY PROVISION PATTERNS AMONG THE TOP ONE HUNDRED NONPROFIT WEBSITES

Nonprofits in need of developing or refining their website privacy policies might benefit from reviewing the content of other nonprofits' privacy policies. They could do "one-stop-shopping by looking for the longest policies, highest website rankings, most recent policy years, or highest r...

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Bibliographic Details
Published in:International journal of business research and information technology 2023-09, Vol.10 (1), p.1-25
Main Authors: Stephens, Janet, Kaupins, Gundars
Format: Article
Language:English
Subjects:
Computational linguistics
Content analysis
Data integrity
Information technology
Keywords
Language processing
Liability (Law)
Literature reviews
Machine learning
Natural language interfaces
Nonprofit organizations
Privacy
Provisions
Rankings
Social networks
Software
Websites
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Summary:Nonprofits in need of developing or refining their website privacy policies might benefit from reviewing the content of other nonprofits' privacy policies. They could do "one-stop-shopping by looking for the longest policies, highest website rankings, most recent policy years, or highest reading grade level. These four characteristics might increase their chance of finding desirable provisions beyond only using keywords and key phrases. The use of only keywords or phrases might not be beneficial in some cases because illegal, awkwardly worded, and out-of-context phrases might be found. This study incorporated human and machine learning content analyses of 100 nonprofits' online privacy policies to find the association between 71 nonprofit privacy policy provisions and the four characteristics.
ISSN:2327-0845