Data scientist and communication researcher (mobile media use) at the Weizenbaum Institute, Berlin
Joined November 2019
- Tweets 175
- Following 205
- Followers 242
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17 Photos and videos
Pinned Tweet
23 May 2025
🚨 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.…
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23 May 2025
🚨 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.…
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23 May 2025
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.
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23 May 2025
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!
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26 Feb 2025
🦋 I've moved to Bluesky - follow me there!
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Roland Toth 🦋 @tothrol.bsky.social retweeted
6 Jan 2025
Where I write my reviews
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Roland Toth 🦋 @tothrol.bsky.social retweeted
13 Nov 2024
Want to collect TikTok data but need help figuring out where to start?
Look no further but here 👀:
methodslab.weizenbaum-instit…
@JWI_Berlin
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Roland Toth 🦋 @tothrol.bsky.social retweeted
31 Oct 2024
when you get a tough question after your talk but you have the perfect supplementary slide
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Roland Toth 🦋 @tothrol.bsky.social retweeted
17 Oct 2024
Academic ironies
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1 Oct 2024
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 👩🏾💻!
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Roland Toth 🦋 @tothrol.bsky.social retweeted
9 Sep 2024
Why numbers are sometimes better than words.
What people think you say when you say “little chance,” “probably not,” or “highly likely.”
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Roland Toth 🦋 @tothrol.bsky.social retweeted
7 Sep 2024
Students at Stanford have built alphaXiv, an open discussion forum for arXiv papers. Think of it as 𝕏 for research.
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5 Sep 2024
🚨 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…
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Roland Toth 🦋 @tothrol.bsky.social retweeted
29 Aug 2024
Me presenting my research
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Roland Toth 🦋 @tothrol.bsky.social retweeted
20 Aug 2024
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:
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Roland Toth 🦋 @tothrol.bsky.social retweeted
18 Aug 2024
When somebody cites my paper
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Roland Toth 🦋 @tothrol.bsky.social retweeted
8 Aug 2024
Can’t make this up, my in-flight tv is already hacked on the way to defcon
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Roland Toth 🦋 @tothrol.bsky.social retweeted
5 Aug 2024
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!
5 Aug 2024
🚨 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…
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5 Aug 2024
🚨 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…
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5 Aug 2024
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.
1
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5 Aug 2024
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!
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