Papers with privacy policies
Breaking Down Walls of Text: How Can NLP Benefit Consumer Privacy? (2021.acl-long)
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| Challenge: | Privacy policies are long and complex documents that are difficult for users to read and comprehend. |
| Approach: | They propose language technologies to help users reclaim control over their privacy . they highlight many remaining opportunities to develop more precise or nuanced language technologies . |
| Outcome: | The proposed language technologies can address the privacy information gap . they can be more precise or nuanced in the way they use the text of privacy policies. |
Automatic Detection of Vague Words and Sentences in Privacy Policies (D18-1)
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| Challenge: | a recent study has raised concerns over privacy policies' opaqueness . lack of clarity in privacy policies can lead to undesired ads and privacy breaches . |
| Approach: | They propose to analyze the semantics of vague words and sentences and use them to identify vague content in privacy policies. |
| Outcome: | The proposed methods are effective and provide suggestions for improving privacy policies. |
A Fine-grained Chinese Software Privacy Policy Dataset for Sequence Labeling and Regulation Compliant Identification (2022.emnlp-main)
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| Challenge: | Existing datasets that ignore law requirements are limited to English. |
| Approach: | They construct a Chinese privacy policy dataset that can be used to analyze software privacy policies. |
| Outcome: | The proposed dataset includes 483 Chinese Android privacy policies, over 11K sentences, and 52K fine-grained annotations. |