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Understanding Threats to Crowdsourced Geographic Data Quality Through a Study of OpenStreetMap Contributor Bans
1 references·3 citing·17 second hop
Understanding Threats to Crowdsourced Geographic Data Quality Through a Study of OpenStreetMap Contributor Bans (2019)Understanding Threats to Crowdsourced Geo…Defacing the Map: Cartographic Vandalism in the Digital Commons (2014)Defacing the Map: Cartographi…Why we can read maps (2022)Why we can read mapsAttention-Based Vandalism Detection in OpenStreetMap (2022)Attention-Based Vandalism Det…OSMWatchman: Learning How to Detect Vandalized Contributions in OSM Using a Random Forest Classifier (2020)OSMWatchman: Learning How to …BROKEN WINDOWS: THE POLICE AND NEIGHBOURHOOD SAFETY (1982)Citizens as sensors: the world of volunteered geography (2007)How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)Conceptualising the geographic world: the dimensions of negotiation in crowdsourced cartography (2015)Using Latent Semantic Analysis to Identify Research Trends in OpenStreetMap (2017)Trustworthy maps (2020)Analyzing the Contributor Activity of a Volunteered Geographic Information Project — The Case of OpenStreetMap (2012)Assuring the quality of volunteered geographic information (2012)OpenStreetMap in GIScience (2015)Vandalism Detection in OpenStreetMap via User Embeddings (2021)Citizen science interactions with official geospatial information; Case studies from Mexico (2023)Characteristics of Heavily Edited Objects in OpenStreetMap (2012)Towards Automatic Vandalism Detection in OpenStreetMap (2012)OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing (2020)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Collaborative Governance in Theory and Practice (2007)Engagement, communication and context: the success of the human-map nexus (2023)
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References

  • 2014Defacing the Map: Cartographic Vandalism in the Digital Commons43 cited

Cited by

  • 2020OSMWatchman: Learning How to Detect Vandalized Contributions in OSM Using a Random Forest Classifier9 cited
  • 2022Why we can read maps9 cited
  • 2022Attention-Based Vandalism Detection in OpenStreetMap6 cited

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