Media disruption and the public interest

Syvertsen, Trine; Donders, Karen; Enli, Gunn; Raats, Tim

doi:10.2478/njms-2019-0002

Cited by 16 publications

(5 citation statements)

References 39 publications

(25 reference statements)

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“…Our findings indicate that such knowledge-based communicative roles are perceived as most suitably held by humans, suggesting that communicative AI employed for rule-based tasks in journalism would be met with comparatively more organizational optimism and be more suitable from a technical perspective. Syvertsen et al (2019) note how Nordic news organizations tend to use a "public value vocabulary" that reaffirms their civic responsibility in order to imply that the value of journalistic content extends beyond products. Our findings provide additional evidence of this.…”

Section: Discussionmentioning

confidence: 99%

“…The editor of news production systems at Reuters has shared a similar idea, noting how the goal of their experimentation with automated forms of journalism is "not to take anyone's job" but to identify ways in which humans and machines can collaborate in news production (Bilton 2018) The implications of the shift towards automation in the newsroom have awoken academic, societal, political, and commercial debates concerning the role of media organizations and the process of creating and distributing media content through traditionally human activities of creativity and expressions (Latzer et al 2014). The rapid digitalization and changed media landscape of the past two decades has introduced new challenges, including issues such as filter bubbles, fake news, fragmentation, and click-driven journalism (Syvertsen et al 2019). Novel questions surrounding the societal responsibility of news organizations are arising.…”

Section: Related Workmentioning

confidence: 99%

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Exploring Communicative AI: Reflections from a Swedish Newsroom

2021

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This article contributes to the emerging field of research on computational journalism with a practical illustration of an attempt to utilize Machine Learning to generate Search Engine Optimized headlines in a major Swedish newsroom. By using its technical results as a springboard for reflections among internal stakeholders, the experiment serves as a catalyzing innovation revealing deliberations on computational approaches in journalism in general and communicative Artificial Intelligence (AI) in specific. The study concludes with three ideas to support decision makers involved in evaluating potential use cases for communicative AI in journalism.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Exploring Communicative AI: Reflections from a Swedish Newsroom

2021

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“…In turning to previous research on principles embodied in PSM systems, we note both the powerful insights that can be derived from this research and its limitations with respect to the challenge of translating earlier normative concepts into contemporary digital platforms. Hence, although there is a literature concerned with how PSM organizations and older private media organizations are adapting to platformization and personalization (e.g., [8,21,45,89,96,97]), as well as papers by PSM-based researchers on these topics and specifically on recommender design (e.g., [7,36], attempts to adapt PSM's earlier normative principles to the platform present are less advanced. We stress that, in this study, we are not concerned with PSM organizations in themselves nor with their approaches to recommender systems (see, e.g., [52]).…”

Section: Four Propositions For Recommender Systemsmentioning

confidence: 99%

Commonality in Recommender Systems: Evaluating Recommender Systems to Enhance Cultural Citizenship

Ferraro¹,

Ferreira²,

Díaz³

et al. 2023

Preprint

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Recommender systems have become the dominant means of curating cultural content, significantly influencing the nature of individual cultural experience. While the majority of academic and industrial research on recommender systems optimizes for personalized user experience, this paradigm does not capture the ways that recommender systems impact cultural experience in the aggregate, across populations of users. Although existing novelty, diversity, and fairness studies probe how recommender systems relate to the broader social role of cultural content, they do not adequately center culture as a core concept and challenge. In this work, we introduce commonality as a new measure of recommender systems that reflects the degree to which recommendations familiarize a given user population with specified categories of cultural content. Our proposed commonality metric responds to a set of arguments developed through an interdisciplinary dialogue between researchers in computer science and the social sciences and humanities. With reference to principles underpinning public service media (PSM) systems in democratic societies, we identify universality of address and content diversity in the service of strengthening cultural citizenship as particularly relevant goals for recommender systems delivering cultural content. We develop commonality as a measure of recommender system alignment with the promotion of content toward a shared cultural experience across a population of users. We advocate for the involvement of human editors accountable to a larger value community as a fundamental part of defining categories in the service of cultural citizenship. As such, we ensure that commonality emphasizes a diverse shared experience. We empirically compare the performance of recommendation algorithms using commonality with existing utility, diversity, novelty, and fairness metrics using three different domains. Our results demonstrate that commonality captures a property of system behavior complementary to existing metrics and suggests the need for alternative, non-personalized interventions in recommender systems oriented to strengthening cultural citizenship across populations of users. Moreover, commonality demonstrates both consistent results under different editorial policies and robustness to missing labels and users. Alongside existing fairness and diversity metrics, commonality contributes to a growing body of scholarship developing 'public good' rationales for digital media and machine learning systems.

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“…The informants express a duty to balance the continuous stream of digital obligations and opportunities in their unfolding combination of professional and private lives. The analysis demonstrates how even professional stakeholders perceive no alternative to personal handling of digital media, underpinning the increased level of individual responsibilization brought on by continuous digital connection (Moe and Madsen, 2021; Pyysiäinen et al, 2017; Syvertsen et al, 2019; Syvertsen and Enli, 2020). The personal responsibility to ensure a sustainable balance in digital connectivity is equal, whether in personal or professional circumstances (Fast, 2021; Guyard and Kaun, 2018; Karlsen and Ytre-Arne, 2022; Karppi et al, 2021).…”

Section: Attention Ambivalence and Algorithmsmentioning

confidence: 99%

Attention, ambivalence and algorithms: Publishers in the era of ubiquitous connectivity and expanding platforms

Spjeldnæs

Karlsen

2023

Media, Culture & Society

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This article scrutinizes how digitalization influences fiction and non-fiction literature publishers in the era of ubiquitous digital connection. The analysis states how a lack of attention is triggering a sense of urgency for the future of literary reading. Further, the digital transition entails an overarching ambivalence. Key stakeholders in literary publishing are experiencing how media on platform-based streaming services is competing with traditional reading. They perceive a battle for time and question the future of reading. From the perspectives of Bourdieu’s theory, the article reveals how penetrating connectivity is leading to a change in the professional habitus. Continuous busyness and increased professional presence are triggering ambivalence between work-related duties and personal well-being. Moreover, the publishing stakeholders reveal an ambivalence in voicing future expectations. While worried about the future of reading, the professional habitus leans on a promising future for the industry.

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Media disruption and the public interest

Cited by 16 publications

References 39 publications

Exploring Communicative AI: Reflections from a Swedish Newsroom

Exploring Communicative AI: Reflections from a Swedish Newsroom

Commonality in Recommender Systems: Evaluating Recommender Systems to Enhance Cultural Citizenship

Attention, ambivalence and algorithms: Publishers in the era of ubiquitous connectivity and expanding platforms

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