Data scientist and communication researcher (mobile media use) at the Weizenbaum Institute, Berlin
Berlin
Joined November 2019
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🚨 Publication alert: Android log data are increasingly used in research, so @dougaparry and I have developed the first step-by-step tutorial on how to actually extract behavioral metrics from them. Read it now in Computational Communication Research: doi.org/10.5117/CCR2025.1.8.…
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.
Roland Toth 🦋 @tothrol.bsky.social retweeted
Want to collect TikTok data but need help figuring out where to start?
Look no further but here 👀:
methodslab.weizenbaum-instit…
@JWI_Berlin
Roland Toth 🦋 @tothrol.bsky.social retweeted
when you get a tough question after your talk but you have the perfect supplementary slide
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: methodslab.weizenbaum-instit…
It is worth a read for anyone working with such data 👩🏾💻!
🚨 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.
doi.org/10.31235/osf.io/k249…
Roland Toth 🦋 @tothrol.bsky.social retweeted
I'm European.
I recently visited the USA for the first time since 2018, hitting up Las Vegas and New York City.
What I witnessed left me stunned.
15 American oddities I still can't wrap my head around:
Roland Toth 🦋 @tothrol.bsky.social retweeted
Can’t make this up, my in-flight tv is already hacked on the way to defcon
Roland Toth 🦋 @tothrol.bsky.social retweeted
We can answer many questions with Android log data, but extracting useful metrics of *human* smartphone usage from the raw event log is not easy. Here, we present a primer (with code) on how to do this. Any and all feedback appreciated on this working paper!
🚨 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.
osf.io/preprints/psyarxiv/mf…
🚨 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.
osf.io/preprints/psyarxiv/mf…
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.