@monjalexander Here's the first time we observed this for things such as follower count or network centrality: https://t.co/LAbU6bb27A And here are details for device types: https://t.co/TmJj7evqGa
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@ptullochott Maybe data derived from @Facebook advertising data could at least help for some initial transfer learning, akin to using nightlight. See e.g. https://t.co/TmJj7evqGa. Happy to elaborate if relevant.
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RT @ingmarweber: Now out in @epj_ds “Mapping socioeconomic indicators using social media advertising data” https://t.co/TmJj7evqGa w/ @MFa…
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we show that audience estimates of how many Facebook users in a given location use particular device types, such as Android vs. iOS, or particular connection types, such as 2G vs. 4G, provide strong signals for modeling regional variation in Wealth Index h