Sign up to save your podcasts
Or
Share Do Results Generalize for Privacy and Security Surveys
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Do Results Generalize for Privacy and Security Surveys
Today, Jenny Tang, a Ph.D. student of societal computing at Carnegie Mellon University discusses her work on the generalization of privacy and security surveys on platforms such as Amazon MTurk and Prolific. Jenny shared the drawbacks of using such online platforms, the discrepancies observed about the samples drawn, and key insights from her results.
View all episodes
By Kyle Polich
4.4
468468 ratings
Today, Jenny Tang, a Ph.D. student of societal computing at Carnegie Mellon University discusses her work on the generalization of privacy and security surveys on platforms such as Amazon MTurk and Prolific. Jenny shared the drawbacks of using such online platforms, the discrepancies observed about the samples drawn, and key insights from her results.
More shows like Data Skeptic
View all
Talk Python To Me
586 Listeners
Software Engineering Daily
629 Listeners
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
434 Listeners
Super Data Science: ML & AI Podcast with Jon Krohn
296 Listeners
Python Bytes
213 Listeners
NVIDIA AI Podcast
324 Listeners
Data Engineering Podcast
140 Listeners
AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion
143 Listeners
DataFramed
269 Listeners
Practical AI
190 Listeners
The Real Python Podcast
136 Listeners
Last Week in AI
282 Listeners
Machine Learning Street Talk (MLST)
87 Listeners
This Day in AI Podcast
190 Listeners
Latent Space: The AI Engineer Podcast
63 Listeners