Engineering Consent

Petre, Caitlin

doi:10.1080/21670811.2018.1444998

Cited by 73 publications

(30 citation statements)

References 29 publications

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“…Implementing predictive analytics in daily news work in the newsroom may face the same kinds of cultural challenges as introducing real-time analytics, because traditional professional ethics of journalism carry a strong sense of public interest and identity of a gatekeeper, and even the most commercial newsrooms have non-commercial editorial preferences [11,64,79,80]. We will investigate also these issues in our further work.…”

Section: Discussionmentioning

confidence: 99%

“…In marketing, analytics and automation have developed earlier and further than in newsrooms, because the incentives to use all possible means to reach business goals have fostered that and cultural barriers to using these methods have not existed in marketing in the same extent as in the newsrooms. [64]In automated sales and delivery of digital advertising, called 'programmatic' advertising, the whole process from selling to publishing advertisements on a website is controlled by software [83,89]. The majority of digital advertising is now spent on search and social media platforms [26,62].In 2017, advertising connected with web search represented 20% of the world's advertising spending, and the share of Google of this was 85%.…”

Section: Introductionmentioning

confidence: 99%

“…There are lots of examples of recommendation systems employed in news services, including individual targeting [2,19,64]. The algorithms used in these systems are based either on content, user, social connections, or their combinations, called 'hybrid models' [69].…”

Section: Introductionmentioning

confidence: 99%

“…There are strong identity-based fears of losing the gatekeeping role of newsrooms they historically had. [20,21,49,64] The data-informed culture has challenged these traditional values of journalism and revealed a conflict between audience preferences and the preferences of the newsroom [89]. Cultural and technological changes are also confronted with other types of tensions, like fear of technology or divided between journalists and journalistic managers [9,10].…”

Section: Introductionmentioning

confidence: 99%

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Predicting the success of news

Jääskeläinen

Taimela²,

Heiskanen³

2020

Proceedings of the 23rd International Conference on Academic Mindtrek

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Traditional recommendation systems have limited possibilities to optimise business value in editorial decision making in news production, as they select the recommendations only from the content whose production has been decided editorially in the daily news process or content from existing content inventories. This paper explores an approach to use predictive analytics to make it possible to optimise story assignment and editing in daily editorial work based on selected business objectives already before publishing. In this case study exploration, we use the 'constructive approach' as a method to provide solutions to concrete business problems with a scientific approach. We contribute by experimenting a novel method combining elements from several scientific domains like strategic management and system dynamics. We conclude that with language analysis using recurrent neural networks, we were able to predict the success of a news story published on a digital channel in a way that fulfils the 'weak market test' criteria of the constructive approach. A company with whom the model was developed considered it valuable enough to decide to move it from exploration to be further developed and used in real news production.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Predicting the success of news

Jääskeläinen

Taimela²,

Heiskanen³

2020

Proceedings of the 23rd International Conference on Academic Mindtrek

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“…Analytics dashboards produced by companies like Google, Adobe, Omniture, and Chartbeat now populate many newsrooms and are key sites of prediction. Journalists’ relationships to such dashboards reveal newsroom expectations about which stories are expected to trend, which traffic predictions can be trusted, which patterns fail to materialize Petre (2015); Petre (2018), and how resistance against dashboard algorithmic predictions show journalists own understandings of audiences and their professional ethics (Christin, 2020).…”

Section: Dimensions Of Anticipatory News Infrastructuresmentioning

confidence: 99%

Anticipatory news infrastructures: Seeing journalism’s expectations of future publics in its sociotechnical systems

Ananny

Finn

2020

New Media & Society

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To understand news rhythms, scholars have primarily studied how the rituals and routines of news organizations align with the practices and expectations of audiences. The rhythms of today’s networked press, though, are set not only by journalists and consumers but also by largely invisible digital infrastructures: software, data, and technologies from outside newsrooms that are increasingly intertwined with journalistic work. Here, we argue that the rhythms of the contemporary, networked press live in the materials, practices, and values of hybrid, time-setting sociotechnical systems, a new concept we call anticipatory news infrastructure. We explicate this concept through a typology of sociotechnical dynamics, showing how the networked press is poised to sense events, structure journalistic work, predict and commodify traffic, architect audience relations, and categorize content. We argue that these infrastructures anticipate possible public life, thus creating anticipation publics through their largely invisible power to shape expectations of journalists and audiences alike.

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Analysing News Values in the Age of Analytics

Tandoc

Cheng

Maitra

2020

News Values From an Audience Perspective

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Engineering Consent

Cited by 73 publications

References 29 publications

Predicting the success of news

Predicting the success of news

Anticipatory news infrastructures: Seeing journalism’s expectations of future publics in its sociotechnical systems

Analysing News Values in the Age of Analytics

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