@inproceedings{barz2018putting,
    type = {inproceedings},
    key = {barz2018putting},
    title = {Putting User Reputation on the Map: Unsupervised Quality Control for Crowdsourced Historical Data},
    author = {Björn Barz and Thomas C. van Dijk and Bert Spaan and Joachim Denzler},
    booktitle = {2nd ACM SIGSPATIAL Workshop on Geospatial Humanities},
    year = {2018},
    address = {New York, NY, USA},
    pages = {3:1--3:6},
    publisher = {ACM},
    abstract = {In this paper we propose a novel method for quality assessment of crowdsourced data. It computes user reputation scores without requiring ground truth; instead, it is based on the consistency among users. In this pilot study, we perform some explorative data analysis on two real crowdsourcing projects by the New York Public Library: extracting building footprints as polygons from historical insurance atlases, and geolocating historical photographs. We show that the computed reputation scores are plausible and furthermore provide insight into user behavior.},
    articleno = {3},
    doi = {10.1145/3282933.3282937},
    isbn = {978-1-4503-6032-6},
    location = {Seattle, WA, USA},
    numpages = {6},
}