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Open AccessJournal ArticleDOI

Defacing the Map: Cartographic Vandalism in the Digital Commons

Andrea Ballatore
- 18 Aug 2014 - 
- Vol. 51, Iss: 3, pp 214-224
TLDR
A typology of this kind of vandalism is outlined, including play, ideological, fantasy, artistic and industrial carto-vandalism, as well ascarto-spam, and two families of counter-strategies deployed in amateur mapping communities are discussed.
Abstract
This article addresses the emergent phenomenon of carto-vandalism, the intentional defacement of collaborative cartographic digital artefacts in the context of volunteered geographic information. Through a qualitative analysis of reported incidents in WikiMapia and OpenStreetMap, a typology of this kind of vandalism is outlined, including play, ideological, fantasy, artistic and industrial carto-vandalism, as well as carto-spam. Two families of counter-strategies deployed in amateur mapping communities are discussed. First, the contributors organize forms of policing, based on volunteered community involvement, patrolling the maps and reporting incidents. Second, the detection of carto-vandalism can be supported by automated tools, based either on explicit rules or on machine learning.

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Citations
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Mapping Perspectives for Environmental Planning

TL;DR: Techniques for using maps to understand how people think about environmental issues are explored and an alternative planning methodology is proposed, one that expands upon the straightforward participatory mapping approach demonstrated here to systematically relate intangible aspects of participants’ perspectives to geospatial data.
Journal ArticleDOI

Detecting inconsistent information in crowd-sourced street networks based on parallel carriageways identification and the rule of symmetry

TL;DR: In this paper, the authors proposed an approach that uses geographic rules to identify inconsistent information in street networks without relying on external sources, which can be used to assure the quality of crowd-sourced and authoritative mapping projects during their evolution.
Book ChapterDOI

An Efficient System for Human Detection Using PIR Sensor and Mobile Technology

TL;DR: The system presented in this chapter, based on human (and/or animal) detection using passive infrared radial (PIR) sensor and mobile technology, is a cost-effective security solution to those who cannot afford large investments in their personal and property safety.
Proceedings ArticleDOI

Attention-Based Vandalism Detection in OpenStreetMap

TL;DR: Ovid relies on a novel neural architecture that adopts a multi-head attention mechanism to summarize information indicating vandalism from OSM changesets effectively and introduces a set of original features that capture changeset, user, and edit information.

Exploring the Effects of Pokémon Go Vandalism on OpenStreetMap

TL;DR: Using Pokémon Go as an example, this study focuses on the nature and life-cycle of harmful edits with an emphasis on the OSM community's response and automatic detection of vandalism with rule-based methods.
References
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Journal ArticleDOI

Citizens as sensors: the world of volunteered geography

TL;DR: In recent months, there has been an explosion of interest in using the Web to create, assemble, and disseminate geographic information provided voluntarily by individuals as mentioned in this paper, and the role of the amateur in geographic observation has been discussed.
Journal ArticleDOI

The Online Disinhibition Effect

TL;DR: Six factors that interact with each other in creating this online disinhibition effect are explored: dissociative anonymity, invisibility, asynchronicity, solipsistic introjection, dissociable imagination, and minimization of authority.
Journal ArticleDOI

How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets:

TL;DR: Analysis of the quality of OpenStreetMap information focuses on London and England, since OSM started in London in August 2004 and therefore the study of these geographies provides the best understanding of the achievements and difficulties of VGI.
Proceedings ArticleDOI

Opinion spam and analysis

TL;DR: It is shown that opinion spam is quite different from Web spam and email spam, and thus requires different detection techniques, and therefore requires some novel techniques to detect them.
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