I create an archive of the page with the Wayback Machine (there's a browser extension) from the Internet Archive and then use that URL when needed. So far seems to have worked

Ok, interesting - a good start!

Tons of ML work in there, which is to be expected... It would be fairly straightforward to filter this set to 'social science'/non-ML papers

Yes, I'm sure.

But that will be the case for meta-funded research.

It should be possible to identify papers authored by researchers listing Meta/Facebook as their affiliation though?

Around 30 mins in you list papers published by Meta-affiliated researchers. I'm curious if there is any systematic collection and classification of this work?

m-Path too manual.m-path.io/knowledge-ba... though it is less flexible it seems.

As far as I know this can be done in Avicenna

learn.avicennaresearch.com/how-to/activ...

For sure, I tend to follow a write-long first, cut-down later approach.

Let's not get started on the SharePoint-OneDrive-Exchange-Office365 frankenstack!

Great talk, @aanixel.bsky.social! I'm curious if there is a preprint available for your paper under review in Scientific Reports?

Ah, that's a pity! Another victim of the API-calypse.

Ok, so with DDPs we can then still get access to listening history but this cannot be augmented with other track characteristics.

Thanks! Yes, I was thinking it might be possible to do an ESM study and then get Ps to provide their listening history as a DDP at the end (some logistics to manage this of course). Then use the API to augment the track info.

Yes, I prescribed the MMT paper in my media entertainment class actually!

For me the data go back 8 years with 120k+ listens. The file is 7MB

@felix-dietrich.de, @aliciaernst.bsky.social if I recall correctly you used the Spotify API?

Do you have any experience with participants uploading data requested from Spotify (especially re. timing of the download)?

Out of interest, this was what the data look like for each track listened to.

With the Spotify API more info on the track can be pulled to augment the listening history data.

This preprint was just posted to PsyArXiv and, while it does more than reporting a dataset, it is essentially describing and reporting a dataset.

osf.io/preprints/ps...