@olya-hakobyan.bsky.social
Postdoctoral researcher at Bielefeld University, Germany
Current focus: social interactions, messaging data, data donation.
Background: computational neuroscience, cognitive science and linguistics.
Current focus: social interactions, messaging data, data donation.
Background: computational neuroscience, cognitive science and linguistics.
🌍 Everything is open-access—the tool, the dataset (for researchers), the analysis code and the paper. Check it out: link.springer.com/article/10.3...
#psynomBRM #datadonation #digitaltraces
#psynomBRM #datadonation #digitaltraces
Development and evaluation of Dona, a privacy-preserving donation platform for messaging data from WhatsApp, Facebook, and Instagram - Behavior Research Methods
Social interactions are a fundamental aspect of human life, yet, their objective and naturalistic measurement remains challenging for scientific research. This challenge can be addressed using digital...
link.springer.com
April 25, 2025 at 8:40 PM
🌍 Everything is open-access—the tool, the dataset (for researchers), the analysis code and the paper. Check it out: link.springer.com/article/10.3...
#psynomBRM #datadonation #digitaltraces
#psynomBRM #datadonation #digitaltraces
Dona is suited for sensitive research, like understanding communication patterns in mental health research while fully protecting participant privacy. Participants benefit too by receiving personalized visualizations of their messaging habits.
April 25, 2025 at 8:40 PM
Dona is suited for sensitive research, like understanding communication patterns in mental health research while fully protecting participant privacy. Participants benefit too by receiving personalized visualizations of their messaging habits.
The participants received personalized visualizations about their messaging behavior and found them insightful. Most spotted major life events just by looking at simple graphs 📈 📊
April 25, 2025 at 8:40 PM
The participants received personalized visualizations about their messaging behavior and found them insightful. Most spotted major life events just by looking at simple graphs 📈 📊
But is such minimal data still meaningful for scientific research? Our paper shows how even meta-data can be helpful in identifying interaction patterns and temporal dynamics. And it's not just for our advanced analysis!
April 25, 2025 at 8:40 PM
But is such minimal data still meaningful for scientific research? Our paper shows how even meta-data can be helpful in identifying interaction patterns and temporal dynamics. And it's not just for our advanced analysis!