数字新闻的数据化:道德问题与监管之间永恒挑战的历史

Colin Porlezza
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摘要

数据几乎渗透到社会的各个领域,新闻业也不例外,因为数据已经成为构建和感知现实的基石。这一贡献旨在将数字新闻的数据化过程历史化,以及欧洲媒体(自我)监管机构在三个方面处理算法新闻中数据使用的道德问题的方式:问责制、透明度和隐私。本文表明,不能孤立地观察和分析新闻数据化的过程,因为数据驱动的社会转型过程与新闻中发生的事情之间存在双重反身性。然而,迄今为止,欧洲几乎所有的新闻委员会都忽视了算法或新闻自动化等数据驱动的现象。因此,如果自我监管机构不进行监管,其他机构就会进行监管,这就有可能导致新闻机构被迫根据主要不是针对新闻业的监管框架做出决策。
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The datafication of digital journalism: A history of everlasting challenges between ethical issues and regulation
Data permeates nearly all spheres of society, and journalism is no exception to this since data has become a cornerstone of reality construction and perception. This contribution sets out to historicize the datafication processes in digital journalism and the way in which European institutions of media (self-)regulation have dealt with ethical issues regarding the use of data in algorithmic journalism in three areas: accountability, transparency, and privacy. The article shows that the process of datafication in journalism cannot be observed and analyzed in isolation, given that there is a double reflexivity between data-driven societal transformation processes and what happens in journalism. However, almost all press councils in Europe have so far ignored data-driven phenomena like algorithms or news automation. As a consequence, if self-regulators do not regulate, other institutions will, with the risk of news organizations being forced to make decisions on the grounds of regulatory frameworks that are not primarily intended for journalism.
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