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Demographic inference and corrections for non-representativeness when working with multilingual social media data
Dr. Fabian Flöck presents a new state of the art for inferring demographic attributes of social media profiles with deep learning in 32 languages. In a paper from last year he showed with colleague...
How web-scraping for Covid-19 data could inform policy
Diarmuid McDonnell discusses how social scientists can access real-time datasets on the Covid-19 outbreak, and how this data might be used to inform policy relating to the crisis.
Our Dataverse is back - What's new?
From February 17th to March 1st, our data repository at data.aussda.at. was not available. We used this time for improving our data repository and preparing it for the future. Learn more about the...
Interaction and Infection
Simulating non-pharmaceutical inventions against the spread of a viral disease from a social science perspective. The spreading of viruses depends not only on its biological properties or the avail...
It’s not easy to spot disinformation on Twitter
Here’s what we learned from 8 political ‘astroturfing’ campaigns. Dr. Sebastian Stier and his co-authors Franziska Keller, David Schoch, and JungHwan Yang examine so called “astroturfing” campaigns...
It’s Not Such ‘A Fair Way Off’ to Process Open Data: Facing Requirements on Open Access and the FAIR Data Principles.
Dr. Sebastian Netscher clarifies the difference between Open Data and FAIR Data, and explains why even access-restricted data can conform to FAIR principles. He recommends that researchers focus on...