@inproceedings{Barz18:Reputation, type = {inproceedings}, key = {Barz18:Reputation}, 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}, }