Privacy in Mobile Ecosystems
Funded by NSF, this project evaluates users' mental model towards privacy and security in mobile ecosystems. The project includes three foci: fitness trackers, messaging apps, and personal digital assistants (on smartphone and on smart home device).
Focused on Amazon's Echo and Google's Home, I first use natural language processing to identify the appearance of privacy- and security-related consumer reviews, and then apply content analysis to investigate user's privacy concerns over these AI-enabled "always listening" home devices. The team further implements survey and focus group to investigate privacy and security concerns.
Health Disclosure/Privacy Online
This project aims to understand how people decide on sensitive health information disclosure and privacy management online, including social media, health forums, and mHealth apps.
NGO Twitter Network Influencers
With the goal to enhance NGO online presence using Twitter, this project seeks to identify 1) key influencers in the networks, and 2) engaging topics and message strategies among civil society organizations and their supporters.
Public Health Campaign &Social Media
This project seeks to evaluate the effectiveness of campaign messages transmitted via Facebook and other social media, as well as their resultant influence. I apply NLP, social network analysis and content analysis for data collection and analysis.
Focused on the online presence of individuals with HIV, this project explores the antecedents, strategies, and consequences of disclosing sensitive health information on Youtube.
Exploring Health Information Disclosure Decision On Social Network Site
Exploring Communication Strategies on Twitter to Enhance NGO Online Presence
Evaluatng Facebook Campaign Message Effect: A Mixed-Method Research
Exploring the Motivation, Strategy and Consequence of Sensitive Health Disclosure