Social Data Collab

Social Data Collaboratory. Rigorous research where #socialscience and #datascience meet. Based at @NORCNews.

[NORC @NORCNews]

Learn how one @NSF #COVID19 RAPID grant recipient is leveraging @AmeriSpeak to explore what factors influence how traumatic events impact society.

[zeynep tufekci @zeynep]

Look at the catastrophe unfolding in NYC. It will soon be perhaps the worst hit place globally, and it's not a coincidence that it's the center of exactly that kind of "what about the flu/don't panic" pundit-world/media. Yes it's hard to hear but this is not just a Trump failure.

[Pew Research Journalism @pewjournalism]

Among those who rely mostly on __ for political news, % who are following news about the COVID-19 outbreak 𝘃𝗲𝗿𝘆 𝗰𝗹𝗼𝘀𝗲𝗹𝘆:

Cable TV - 65%
National TV - 59%
Print - 57%
News website - 54%
Radio - 44%
Local TV - 44%
Social media - 37% https://t.co/xV3QZQQ3mN

[Social Data Collab @SDCollab]

More important work from our SDC team by @Kimysangy @SherryEmery on how #Juul-related content grew exponentially on Twitter and spread across the entire country during the time when the brand was gaining market share

[Tobacco Control @TC_BMJ]

Juul-related content grew exponentially on Twitter while the brand was gaining market share. This social media buzz continued to increase even after FDA’s multiple interventions to curb promotions targeting minors https://t.co/4cyk87dCVw w @NORCNews @GeorgiaStateU researchers

[Sherry Emery @SherryEmery]

Fake data scientist don’t clean or manage the data...those steps are 90+% of the work we do ⁦@SDCollab⁩ https://t.co/u1uRtyu3gX

[Maarten van Smeden @MaartenvSmeden]

Can somebody build a good classifier that can distinguish between #COVID2019 experts and non-experts? Seems like the phrase "well, we actually don't really know that" is predictive of higher levels of expertise