How did parties campaign for the #EU2024 Parliament elections? Together with @wiebkedrews, @andreas_neumeie and @RiedlJasmin from @projekt_sparta, we published the EUDigiParty data set today including social media handles, website links etc. of 401 European parties. Link follows!

Confused about the upcoming US elections? 🇺🇸 Our experts are here to help! We have compiled interviews and media appearances from our faculty on the 2024 US elections. As the elections unfold, we will keep this page updated. 🔗 bit.ly/40stvAw

Missed our #dataaccess workshop w/ @GLOBSEC? Our report provides you with all you need to know: 👉 updates on the state of data access under the #DSA and EDMO's respective work @RebekahKTromble 👉 an overview of the variety of data currently collected by #VLOPs #VLOSEs @MattMotyl 👉 findings recommendations from surveying the EDMO Network on data access @lisaginsborg 👉 experiences, challenges opportunities w/ #APIs, incl: 🔹#TikTok: @philippdarius @andreas_neumeie 🔹#Youtube #Google: @kbontcheva 🔹#Meta: @gyron_bydton 📃 Full report: loom.ly/TV--cjE

An exciting job opportunity at the University of Manchester to work on the UKRI funded 'smart data' project DIGISURVOR. Linking DIGItal trace and SURVey data for Open Research jobs.manchester.ac.uk/Job/Jo…

Many fields—including psychology, sociology, communications, political science, and computer science— use computational methods to analyze text data. We find that the all versions of #GPT are capable of accurately detecting various psychological constructs in text across 12 languages, Using simple prompts and no additional training data. GPT thus overcomes the limitations present in existing text analysis methods. For instance, GPT (r = 0.59 to 0.77) performed much better than dictionaries (r = 0.20 to 0.30) at detecting psychological constructs. GPT is also effective in several lesser-spoken languages. pnas.org/doi/10.1073/pnas.23… Led by @steverathje2 & @DanMirea4 along with @sucholutsky @RajaMarjieh @CRobertson500