Adapting Media Self-Regulation to the Era of News Automation

Haapanen, Lauri

doi:10.1007/978-3-030-95073-6_6

Cited by 4 publications

(13 citation statements)

References 19 publications

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“…Personalisation may enable the augmentation of little noticed values in journalism. Like any modification of existing journalistic practices, personalisation of content may trigger a renewed awareness and consideration of the core values of journalism (Bastian et al, 2020;Haapanen, 2020). Researchers have long noted that journalists have considered the audience both as a "public" that should be provided with content that is somehow 'good' for it, while the commercialisation of news media has led to the notion of audience as consumers that is typically segmented based on demographic profiles (Ang, 1991;see Willig, 2010).…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, developing algorithms and models based on data requires technical expertise that journalists and other traditional newsroom workers rarely possess. As a result, software developers and other "technologists" have become part of the production of journalism, although their background training typically is not in the field (Haapanen, 2020).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Much of the enthusiasm in journalism research has focused on the utilisation of AI and algorithms in the automated creation of content (Carlson, 2015; Caswell and Dörr, 2018; Clerwall, 2014 ). Currently, however, such automation systems remain modest, and these technologies are more commonly used in the personalisation of news content (Bodó, 2019; Haapanen, 2020, 2022; Helberger, 2019; Rydenfelt, 2022; Thurman et al, 2019). The prospects of personalisation have also been met with some excitement.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Based on recent literature reviews of the ethical challenges of recommender systems and personalisation (Milano et al, 2020; Hermann, 2021), we discern and explore five areas of normative concern: autonomy, opacity, privacy, selective exposure and discrimination. We then study how these concerns are reflected on and addressed in articulations of the development of personalisation by representatives of Finnish journalistic media, where the ethical and societal implications of algorithmic technologies have attracted considerable attention (Haapanen, 2020, 2022; Rydenfelt, 2022). Our analysis indicates that personalisation challenges traditional notions of journalism, and points to ethical blindspots in the algorithmic technologies of personalisation.…”

Section: Introductionmentioning

confidence: 99%

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Personalisation in Journalism: Ethical insights and blindspots in Finnish legacy media

et al. 2022

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The algorithmic personalisation and recommendation of media content has resulted in considerable discussion on related ethical, epistemic and societal concerns. While technologies of personalisation are widely employed by social media platforms, they are currently also being instituted in journalistic media. The objective of this study is to explore how concerns about algorithms are articulated and addressed when technologies of personalisation meet with long-standing journalistic values, norms and publicist missions. It first distinguishes five normative concerns related to personalisation: autonomy, opacity, privacy, selective exposure and discrimination. It then traces the ways that these issues are navigated in the context of journalistic media in Finland where the implications of algorithmic media technologies have received considerable attention. The results indicate that personalisation challenges traditional notions of journalism, including those of choosing what is important and relevant and providing the same content to everyone. However, aspects of personalisation also have a long history within journalistic practices, and new technologies of personalisation are being adapted to accord with journalistic norms and aims. Based on these results, ethical blindspots concerning privacy and discrimination are also identified.

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Section: Discussionmentioning

confidence: 99%

Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Personalisation in Journalism: Ethical insights and blindspots in Finnish legacy media

et al. 2022

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“…The CMM has maintained strong ties to other Nordic media councils and become an active member in the Alliance of Independent Press Councils of Europe (CMM, 2021a). One example of increasing international cooperation is the EU-funded research project "Media Councils in the Digital Age" where the CMM has so far been responsible for a report on the impact of news automation on self-regulation and media councils' work (Haapanen, 2020).…”

Section: Communications Effortsmentioning

confidence: 99%

Finland: Prepared for Challenges Ahead

Väliverronen

2022

ReC

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Historically, journalistic self-regulation in Finland has evolved in three phases that are closely connected with developments in journalistic professionalism: early attempts until the late 1960s, institutionalization and solidification from the late 1960s to the mid-2000s, and the current phase of constant change. In the current phase, the self-regulatory institution – the Council for Mass Media (CMM) – was initially struggling to find its place in the changing mediascape. However, in the last ten years, it has been able to re-adjust itself and gain a relatively secure position in society. This position is likely to be increasingly challenged in the coming years by the many ongoing transformations of communications and journalism, but the CMM appears rather well placed to meet the future challenges.

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The datafication of digital journalism: A history of everlasting challenges between ethical issues and regulation

Porlezza

2023

Journalism

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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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Adapting Media Self-Regulation to the Era of News Automation

Cited by 4 publications

References 19 publications

Personalisation in Journalism: Ethical insights and blindspots in Finnish legacy media

Personalisation in Journalism: Ethical insights and blindspots in Finnish legacy media

Finland: Prepared for Challenges Ahead

The datafication of digital journalism: A history of everlasting challenges between ethical issues and regulation

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