Nir Grinberg
@grinbergnir
Assistant prof. @BenGurionU, dad^3, train+bike, tired/aspiring barista. Studying how information systems can better serve us using ML, NLP, Stats, CSS, HCI.
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ICYMI, our DomainDemo dataset, which describes how different demographic groups share domains on Twitter, is now available to download! 📄 Data descriptor: doi.org/10.1038/s41597… 📈 Interactive app to explore the data: domaindemo.info 💽 Dataset: doi.org/10.5281/zenodo…
Just out! We evaluate how well large-scale, nonprob, survey data do in estimating COVID infection rates. We find that these surveys do a remarkably good job at matching admin and wastewater data. jamanetwork.com/journals/jaman…
Among registered voters matched to Twitter, just 2k voters accounted for 80% of misinformation URLs on Twitter in the 2020 US Election; these "supersharers" are older, female, Republican, and less educated, finds Baribi-Bartov, @Briony_Swire & @grinbergnir doi.org/10.1126/scienc…
Very excited to finally share our preprint after three years in the making! With @rubenarslan @AnaSKozyreva @Briony_Swire @michael_geers_ @stefanmherzog and Ralph Hertwig @arc_mpib, we assessed the motives of very active users for posting content. (1/x) osf.io/preprints/psya…
Check out our new paper on what happened on then-Twitter in the aftermath of Jan 6! nature.com/articles/s4158…
“The average supersharer [of fake news] was 58 years old, 17 years older than the average user in the study, and almost 60% were women. They were also far more likely to be registered Republicans (64%) than Democrats (16%)” science.org/content/articl…
United States Trends
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