Various smartphone apps and services are available which encourage users to report where and when they feel they are in an unsafe or threatening environment. This user generated content may be used to build datasets, which can show areas that are considered ‘bad,’ and to map out ‘safe’ routes through such neighbourhoods. Despite certain advantages, this data inherently carries the danger that streets or neighbourhoods become stigmatized and already existing prejudices might be reinforced. Such stigmas might also result in negative consequences for property values and businesses, causing irreversible damage to certain parts of a municipality. Overcoming such an “evidence-based stigma” — even if based on biased, unreviewed, outdated, or inaccurate data — becomes nearly impossible and raises the question how such data should be managed.

中文翻译：

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移动设备作为安全传感器的污名：GDPR 和众包“破窗”的未来

可以使用各种智能手机应用程序和服务，鼓励用户报告他们认为自己处于不安全或威胁环境中的地点和时间。该用户生成的内容可用于构建数据集，该数据集可以显示被视为“不良”的区域，并绘制通过此类社区的“安全”路线。尽管有某些优势，但这些数据固有地带有危险，即街道或社区被污名化，并且可能会强化已经存在的偏见。这种污名还可能对财产价值和企业造成负面影响，对市政当局的某些部分造成不可逆转的损害。克服这种“基于证据的污名”——即使基于有偏见、未经审查、过时或不准确的数据——几乎不可能，并提出了如何管理此类数据的问题。