There's No Such Thing as the Perfect Map: Quantifying Bias in Spatial Crowd-sourcing Datasets

By Giovanni Quattrone, Licia Capra, Pasquale De Meo. 2015

71 citations recorded by the source corpus.

Subfields: Communication, Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

1. Alexandra Olteanu
2. Fernando Diaz
3. Carlos Castillo
4. Emre Kıcıman
5. Isaac L. Johnson
6. Brent J. Hecht
7. Muhammad Imran
8. Gabriella Kazai

In Information Systems

1. Isaac L. Johnson
2. Fernando Diaz
3. Alexandra Olteanu
4. Carlos Castillo
5. Brent J. Hecht
6. Emre Kıcıman
7. Hamed Zamani
8. Jimmy J. Lin

Citations in the corpus

• Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, background): “, 2011), and may explain biases observed in geo-spatial social datasets such as OpenStreetMap (Quattrone et al., 2015).”
• Structural Causes of Bias in Crowd-derived Geographic Information : Towards a Holistic Understanding (2015, background): “For instance, additional possible structural biases include national culture factors (c.f. Quattrone et al. (2015)) and those related to distance (c.f. Hecht and Gergle (2010)).”