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When machine learning meets privacy: A survey and outlook
The newly emerged machine learning (eg, deep learning) methods have become a strong
driving force to revolutionize a wide range of industries, such as smart healthcare, financial …
driving force to revolutionize a wide range of industries, such as smart healthcare, financial …
Transparency enhancing tools (TETs): an overview
As the amount of users' information collected and exchanged on the Internet is growing, so
are, consequently, the users' concerns that their privacy might be violated. Some studies …
are, consequently, the users' concerns that their privacy might be violated. Some studies …
What matters to users? Factors that affect users' willingness to share information with online advertisers
Much of the debate surrounding online behavioral advertising (OBA) has centered on how to
provide users with notice and choice. An important element left unexplored is how …
provide users with notice and choice. An important element left unexplored is how …
The unsung heroes of facebook groups moderation: A case study of moderation practices and tools
Volunteer moderators have the power to shape society through their influence on online
discourse. However, the growing scale of online interactions increasingly presents …
discourse. However, the growing scale of online interactions increasingly presents …
Will users keep using mobile payment? It depends on trust and cognitive perspectives
The rapid growth of mobile payment as the part of Financial Technology (FinTech) could
lead to empirical problems (eg hacker attacks, privacy violation, etc) that results low …
lead to empirical problems (eg hacker attacks, privacy violation, etc) that results low …
Vistrust: a multidimensional framework and empirical study of trust in data visualizations
Trust is an essential aspect of data visualization, as it plays a crucial role in the interpretation
and decision-making processes of users. While research in social sciences outlines the …
and decision-making processes of users. While research in social sciences outlines the …
A machine learning solution to assess privacy policy completeness: (short paper)
E Costante, Y Sun, M Petković… - Proceedings of the 2012 …, 2012 - dl.acm.org
A privacy policy is a legal document, used by websites to communicate how the personal
data that they collect will be managed. By accepting it, the user agrees to release his data …
data that they collect will be managed. By accepting it, the user agrees to release his data …
[PDF][PDF] Trust in Information Visualization.
Trust is an important factor that mediates whether a user will rely and build on the
information displayed in a visualization. Research in other fields shows that there are …
information displayed in a visualization. Research in other fields shows that there are …
From invisible to visible: Impacts of metadata in communicative data visualization
Leaving the context of visualizations invisible can have negative impacts on understanding
and transparency. While common wisdom suggests that recontextualizing visualizations with …
and transparency. While common wisdom suggests that recontextualizing visualizations with …
User perceptions of sharing, advertising, and tracking
Extending earlier work, we conducted an online user study to investigate users'
understanding of online behavioral advertising (OBA) and tracking prevention tools (TPT) …
understanding of online behavioral advertising (OBA) and tracking prevention tools (TPT) …