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 Dept. Computer Science University of Rochester Rochester, New York...
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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 Dept. Computer Science University of Rochester Rochester, New York {nhossain,thu}@cs.rochester.edu Ann Marie White Dept. Psychiatry University of Rochester School of Medicine & Dentistry Rochester, New York AnnMarie White@urmc.rochester.edu Jiebo Luo, Henry Kautz Dept. Computer Science University of Rochester Rochester, New York {jluo,kautz}@cs.rochester.edu Abstract 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 ac- tivities at times in the past or future, and self-reports made at the immediate time and place the activity occurs. Activities, such as alcohol consumption, may occur at different places and types of places, and it is important not only to detect the local r
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