🚨 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.

RT @NC_Renic: Where I write my reviews

RT @weliodn: Want to collect TikTok data but need help figuring out where to start? Look no further but here 👀:

RT @Prokaryota: when you get a tough question after your talk but you have the perfect supplementary slide

RT @NC_Renic: Academic ironies

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: It is worth a read for anyone working with such data 👩🏾‍💻!

RT @MaxCRoser: Why numbers are sometimes better than words. What people think you say when you say “little chance,” “probably not,” or “…

RT @Hamptonism: Students at Stanford have built alphaXiv, an open discussion forum for arXiv papers. Think of it as 𝕏 for research. https:/…

@dougaparry @StellenboschUni @communicationVU @VUamsterdam Moving closer ❤️ congrats again 🙏🏻🙏🏻

RT @DJGould94: Me presenting my research

RT @oledoteth: I'm European. I recently visited the USA for the first time since 2018, hitting up Las Vegas and New York City. What I wit…

RT @Dr_Meming: When somebody cites my paper

@mqr_mobile @qinli0 @eliza_riggs12 @OhioStateComm @raziehprfsr @JoeBBayer Congrats 🙏🏻🙏🏻

RT @lauriewired: Can’t make this up, my in-flight tv is already hacked on the way to defcon

@Jingshi_Kang @dougaparry Thank you, I hope it serves you well!

@denis_mongin @dougaparry Appreciate it!

RT @dougaparry: We can answer many questions with Android log data, but extracting useful metrics of *human* smartphone usage from the raw…

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!