{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"1d3bd28e-c1ba-4af2-8580-60b32ef26053","title":"If...Then Algorithmic Power and Politics","author":null,"edition":null,"publisher":null,"year":null,"isbn":"2017054909","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"1d3bd28e-c1ba-4af2-8580-60b32ef26053","id":"1d3bd28e-c1ba-4af2-8580-60b32ef26053","uuid":"1d3bd28e-c1ba-4af2-8580-60b32ef26053","title":"If...Then Algorithmic Power and Politics","normalized_title":"ifthenalgorithmicpowerandpolitics","author":null,"edition":null,"publisher":null,"year":null,"isbn":"2017054909","isbns":["2017054909","9780190493042","9780190493059"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":211,"navigation_url":"https://workshop.closeclaw.top/ai/book/1d3bd28e-c1ba-4af2-8580-60b32ef26053","title_url":"https://workshop.closeclaw.top/ai/title/If...Then%20Algorithmic%20Power%20and%20Politics","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/1d3bd28e-c1ba-4af2-8580-60b32ef26053/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/1d3bd28e-c1ba-4af2-8580-60b32ef26053/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/1d3bd28e-c1ba-4af2-8580-60b32ef26053","page_url":"https://workshop.closeclaw.top/api/ai/books/1d3bd28e-c1ba-4af2-8580-60b32ef26053/page","search_url":"https://workshop.closeclaw.top/api/ai/books/1d3bd28e-c1ba-4af2-8580-60b32ef26053/search"},"page":{"printed_page":127,"pdf_page":137,"physical_index":137,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"06ccc1a03db37012a9306c51fca3d5cdb4d58845fa145921ec1b0775f1f8fb41"},"chapter":"IF...THEN","content":"THE ALGORITHMIC LANDSCAPE OF NORDIC NEWSROOM\n\nOn the basis of interviews with news media professionals in senior positions, in this chapter I provide an in-depth case study on the ways in which algorithms mater and how organizational actors are handling, making sense of, and diferently orienting themselves toward the algorithmic logics of the current media landscape. In the previous two chapters I considered how algorithms are productive of certain subjectivities and orientations. Here I extend these conversations, by looking in more detail at the ways in which algorithms afect core understandings of institutional practice and professional values. Within the news media organizations studied, algorithms are put to work in two main ways. On the one hand, algorithms are enlisted as part of the production of news—primarily, in terms of automating certain processes or otherwise making the workflow more eficient by helping journalists find, produce, and disseminate the news. On the other hand, algorithms are applied to find new and beter ways to connect audiences and readers to revenue—primarily, by means of personalization and recommendations. In the following sections, I go beyond considering algorithms to be problem-solving devices (as the standard definitions would have us), and analyze them as problem-creating devices, and point to the social and ethical dilemmas that emerge when news media use algorithms. Beyond simply solving or creating problems, algorithms also “problematize.” There are at least two aspects to this: On the one hand, algorithms are rendered problematic, that is, judgements are passed, moral domains carved out, and certain concerns allowed to circulate (Arribas-Ayllon & Walkerdine, 2008). On the other hand, algorithms can also be seen as problematization devices, working to question the accepted boundaries and definitions of journalism itself.\n\nThe Algorithmic Potential\n\nWhen people think of algorithms in journalism, it very often has to do with how they influence the final presentation of the news. Although it is important, this is only one of many ways in which algorithms are entrenched in journalism. For example, to list but a few of the ways in which algorithms are currently being used as part of the news media, algorithms are applied to find and research stories, verify sources, write and produce a story, and track the performance of articles after they have been published. They can also serve in A/B-testing headlines and the automatic production of news items by robots (Diakopoulos & Koliska, 2017; Lewis & Westlund, 2015; Linden, 2017). While it’s still early days with respect to algorithmic journalism, there seems to be a growing sense among news media professionals that algorithms have great potential and many areas of application. The interviews suggest that algorithms are deemed particularly useful in the production of news, both in the ways in in which they transform editorial workflows and the dissemination of news, by way of making sure the right content reaches the right persons. When algorithms are articulated as having potential, what is generally emphasized are the various possibilities and promises that they seem to entail. For many of the interviewees, algorithms promise to reduce the cost of production, make it more eficient, automate tedious and repetitive tasks, provide valuable insights into users and readers, help predict future preferences, help find links and correlations in the data, and present the news in new, personalized ways.\n\nProgramming the News\n\n127","previous_page":126,"next_page":128}