Roland Toth
@tothrol.bsky.social
120 followers 200 following 62 posts
Data scientist and communication researcher (mobile media use) at the Weizenbaum Institute, Berlin
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tothrol.bsky.social
🚨 Publication alert (JQD:DM): @dougaparry.bsky.social , @mjemmer.bsky.social , and I investigated the daily times, gratifications, and locations of, and activities alongside smartphone and app use in Germany using a combination of surveys, MESM, logging, and data donations 📱. doi.org/10.51685/jqd...
From Screen Time to Daily Rhythms: A Mixed Methods Study of Smartphone Use Among German Adults | Journal of Quantitative Description: Digital Media
doi.org
tothrol.bsky.social
🚨 Publication alert (JQD:DM): @dougaparry.bsky.social , @mjemmer.bsky.social , and I investigated the daily times, gratifications, and locations of, and activities alongside smartphone and app use in Germany using a combination of surveys, MESM, logging, and data donations 📱. doi.org/10.51685/jqd...
From Screen Time to Daily Rhythms: A Mixed Methods Study of Smartphone Use Among German Adults | Journal of Quantitative Description: Digital Media
doi.org
Reposted by Roland Toth
tothrol.bsky.social
🚨 Wave 6 (2024) of the Weizenbaum Panel is now available in the Weizenbaum Panel Data Explorer. Check it out if you‘re interested in Germans‘ media use, political participation, civic norms, and more! panel.weizenbaum-institut.de/en/findings/...
tothrol.bsky.social
Better late than never
tothrol.bsky.social
Pure luck, I found snacks offered on a table next to a session I attended and snuck them in… like a chipmunk
tothrol.bsky.social
Actual footage of me eating a tiny snack instead of lunch in-between sessions at #ICA25
Reposted by Roland Toth
icamobile.bsky.social
Presenting new #ICA25 fellows, our very own Scott Campbell and Lynn Schofield Clark! Congratulations!
tothrol.bsky.social
No plans for 3pm yet at #ica25? Join us in our @icamobile.bsky.social session featuring great presentations and a discussion on mobile methods and their lack of standardization in research!

@rzhprfshr.bsky.social
Yifei Lu
@dscheykopp.bsky.social
@joebayer.bsky.social
icamobile.bsky.social
#ICA25 Denver is officially underway! 🎉

Mobile Comm kicks off tomorrow with sessions at 12PM & 3PM — don’t miss talks by @aliciagilbert.bsky.social, @annafreytag.bsky.social, @aliciaernst.bsky.social, @annastockmann.bsky.social, @dougaparry.bsky.social & more! 📱💬
Reposted by Roland Toth
icamobile.bsky.social
#ICA25 Denver is officially underway! 🎉

Mobile Comm kicks off tomorrow with sessions at 12PM & 3PM — don’t miss talks by @aliciagilbert.bsky.social, @annafreytag.bsky.social, @aliciaernst.bsky.social, @annastockmann.bsky.social, @dougaparry.bsky.social & more! 📱💬
tothrol.bsky.social
This paper is supposed to help researchers handle raw Android log data in a systematic manner and facilitate access to this rich source of information 🔑. Feel free to use and share it. Feedback is very welcome!
tothrol.bsky.social
The supp. material includes a working rendition in R code, an example data set with raw Android log data, and the data set that results from applying the code to it. There are also lists that helps identify background processes and app names 📋 - with a script to retrieve them.
tothrol.bsky.social
This primer first elaborates on the potential of and difficulties when handling raw Android log data 📊. Then, the process of extracting glances, sessions, and episodes of use is described in a hands-on guideline with pseudo-code to follow along 👩‍💻.
Reposted by Roland Toth
lukotto.bsky.social
🚀 The GESIS AppKit is live! 🚀

Three years ago we started the project of providing "an App" for Social Scientists @gesis.org . Today, it is much more than that. It is a management system for mobile, intensive-longitudinal studies. Interested?

✅ Register here: www.gesis.org/gesis-appkit...
www.gesis.org
tothrol.bsky.social
Congrats! And stay strong 😂
tothrol.bsky.social
Congrats and good luck!
tothrol.bsky.social
Check out this blog post on a preprint article providing a tutorial for extracting use metrics from raw Android log data, created by @dougaparry and myself: https://t.co/N6AMF53rgv

It is worth a read for anyone working with such data 👩🏾‍💻!
New preprint article: Extracting smartphone use from Android event log data
methodslab.weizenbaum-institut.de
tothrol.bsky.social
🚨 New preprint! @dougaparry, @mjemmer, and I investigated the times, gratifications, locations, and activities alongside smartphone and app use in Germany 📱. To do so, we used a combination of surveys, MESM, logging, and data donations.

https://doi.org/10.31235/osf.io/k249t
tothrol.bsky.social
This paper is supposed to help researchers handle raw Android log data in a systematic manner and facilitate access to this rich source of information 🔑. Feel free to use and share it. Feedback is very welcome!
tothrol.bsky.social
The supp. material includes a working rendition in R code, an example data set with raw Android log data, and the data set that results from applying the code to it. There are also lists that helps identify background processes and app names 📋 - with a script to retrieve them.
tothrol.bsky.social
This primer first elaborates on the potential of and difficulties when handling raw Android log data 📊. Then, the process of extracting glances, sessions, and episodes of use is described in a hands-on guideline with pseudo-code to follow along 👩‍💻.
tothrol.bsky.social
🚨 New preprint! Android log data are increasingly used in research, but the process of extracting behavioral metrics from them is usually trivialized - so @dougaparry and I have developed the first step-by-step tutorial on how to do that.

https://osf.io/preprints/psyarxiv/mfnu9