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olya-hakobyan.bsky.social

@olya-hakobyan.bsky.social
7 followers 12 following 6 posts

Postdoctoral researcher at Bielefeld University, Germany Current focus: social interactions, messaging data, data donation. Background: computational neuroscience, cognitive science and linguistics.

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olya-hakobyan.bsky.social @olya-hakobyan.bsky.social · 03/09/2025
A big thank you to @psychonomicsociety.bsky.social for featuring our paper and to Alyssa Asmar for clearly highlighting the key aspects of our work! Check out how sharing your WhatsApp chats can help research without exposing a single message! featuredcontent.psychonomic.org/donate-your-...
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Reposted by @olya-hakobyan.bsky.social
Psychonomic Society @psychonomicsociety.bsky.social · 02/09/2025
💬 Donate your messages for science—without sharing the content. Dona collects only metadata, protecting privacy while enabling research. New post by Alyssa Asmar on #psynomBRM paper by Hakobyan @olya-hakobyan.bsky.social and co @drimalla.bsky.social buff.ly/rubawuB
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olya-hakobyan.bsky.social @olya-hakobyan.bsky.social · 25/04/2025
🌍 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
link.springer.com
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...
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olya-hakobyan.bsky.social @olya-hakobyan.bsky.social · 25/04/2025
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.
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olya-hakobyan.bsky.social @olya-hakobyan.bsky.social · 25/04/2025
The participants received personalized visualizations about their messaging behavior and found them insightful. Most spotted major life events just by looking at simple graphs 📈 📊
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olya-hakobyan.bsky.social @olya-hakobyan.bsky.social · 25/04/2025
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!
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olya-hakobyan.bsky.social @olya-hakobyan.bsky.social · 25/04/2025
What if your chat history could help research (without sharing a word)? Our paper in Behavior Research Methods #psynomBRM shows how! On our data donation platform, people can donate de-identified chat data from WhatsApp, Facebook, and Instagram! No content, no private details: just numbers!
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