most citedInferring Fine-grained Details on User Activities and Home Location from Social Media: Detecting Drinking-While-Tweeting Patterns in Communities

20 citations · 20 across the 2 of their papers we have counts for

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cs.AI2016★ 20 cited

Inferring Fine-grained Details on User Activities and Home Location from Social Media: Detecting Drinking-While-Tweeting Patterns in Communities

Nabil Hossain, Tianran Hu, Roghayeh Feizi +3

Nearly all previous work on geo-locating latent states and activities from social media confounds general discussions about activities, self-reports of users participating in those…