When machine learning meets privacy: A survey and outlook

B Liu, M Ding, S Shaham, W Rahayu… - ACM Computing …, 2021 - dl.acm.org
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 …

Transparency enhancing tools (TETs): an overview

M Janic, JP Wijbenga, T Veugen - 2013 Third Workshop on …, 2013 - ieeexplore.ieee.org
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 …

What matters to users? Factors that affect users' willingness to share information with online advertisers

PG Leon, B Ur, Y Wang, M Sleeper… - Proceedings of the …, 2013 - dl.acm.org
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 …

The unsung heroes of facebook groups moderation: A case study of moderation practices and tools

T Kuo, A Hernani, J Grossklags - Proceedings of the ACM on Human …, 2023 - dl.acm.org
Volunteer moderators have the power to shape society through their influence on online
discourse. However, the growing scale of online interactions increasingly presents …

Will users keep using mobile payment? It depends on trust and cognitive perspectives

LAM Nelloh, AS Santoso, MW Slamet - Procedia Computer Science, 2019 - Elsevier
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 …

Vistrust: a multidimensional framework and empirical study of trust in data visualizations

H Elhamdadi, A Stefkovics, J Beyer… - … on Visualization and …, 2023 - ieeexplore.ieee.org
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 …

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 …

[PDF][PDF] Trust in Information Visualization.

E Mayr, N Hynek, S Salisu, F Windhager - TrustVis@ EuroVis, 2019 - files.osf.io
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 …

From invisible to visible: Impacts of metadata in communicative data visualization

A Burns, C Lee, T On, C **ong, E Peck… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Leaving the context of visualizations invisible can have negative impacts on understanding
and transparency. While common wisdom suggests that recontextualizing visualizations with …

User perceptions of sharing, advertising, and tracking

F Chanchary, S Chiasson - Eleventh Symposium On Usable Privacy and …, 2015 - usenix.org
Extending earlier work, we conducted an online user study to investigate users'
understanding of online behavioral advertising (OBA) and tracking prevention tools (TPT) …