@inproceedings{aa287912ff63455085314d4af048219d,
title = "Visualizing geo-demographic urban data",
abstract = "We present two interactive data visualizations of fine-grained demographic information for New York City, US, and Doha, Qatar, obtained using Facebook{\textquoteright}s Marketing API. The visualizations make innovative use of treemaps rather than typical checkboxes, to support informed filtering of data and visualization of both {\textquotedblleft}where are people of type X{\textquotedblright} and {\textquotedblleft}what type of people are in location Y{\textquotedblright}. The two interactive visualizations aim to both show-case a front-end for census-type information and to demonstrate the richness of Facebook{\textquoteright}s advertising data.",
keywords = "Demographics, Doha, Facebook, New York City, Online advertising, Visualization",
author = "Matheus Araujo and Micha{\"e}l Aupetit and Yelena Mejova and Ingmar Weber",
note = "Publisher Copyright: Copyright is held by the author/owner(s).; 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2018 Companion ; Conference date: 03-11-2018 Through 07-11-2018",
year = "2018",
month = oct,
day = "30",
doi = "10.1145/3272973.3273001",
language = "English",
series = "Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW",
publisher = "Association for Computing Machinery",
pages = "45--48",
booktitle = "CSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing",
address = "United States",
}