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Uzman Görüşleri Bağlamında Haber Üretiminde Otomatikleşme: Robot Gazetecilik

Year 2017, Issue: 27, 79 - 108, 29.12.2017
https://doi.org/10.16878/gsuilet.373242

Abstract

İnternet teknolojilerindeki gelişmeler yalnızca haberlerin dağıtımı ve tüketimi üzerinde değil, üretim süreci üzerinde de etkili olmaktadır. İnternet gazeteciliğinin üretim faaliyetlerinde bilgisayar tarafından geliştirilen otomatik içeriklerle birlikte yeni bir evreye girilmiştir. Bu araştırmada robot gazetecilik, robo-gazetecilik, yazılım tarafından üretilen içerik, otomatik olarak üretilen içerik, algoritmik haber, bilgisayar tarafından yazılan haber ve otomatize haber gibi çeşitli adlarla anılan bu gazetecilik pratiklerinin kullanım alanları incelenmiştir. Araştırmanın ikinci bölümünde ise robot gazeteciliğin haber odalarında, gazetecilik sektöründe ve iletişim fakültelerinin eğitim içeriğinde ne tür değişiklik ve dönüşümlere neden olduğu, mevcut etik sorunlara yenilerini ekleyip eklemediği gibi sorulara aktör ağ kuramı bağlamında Türkiye’de gerçekleştirilen derinlemesine görüşmelerle yanıt aranmıştır. Çalışmada bilgisayar mühendisliği ve iletişim bilimleri disiplinlerindeki akademisyenlerin yanı sıra, yazılımcılar ve gazeteciler ile görüşülerek mevcut durum saptanmıştır. Görüşmelerle ayrıca, yeni habercilik türleri ile “cyborg gazetecilik” temelli yeni iş tanımları üzerinde durularak, gazetecilik eğitiminde otomatize haber ve doğrulama süreçlerine yönelik öneriler de geliştirilmiştir.

References

  • Adams, T. (28 Haziran 2015). And the Pulitzer goes to… a computer. The Guardian. Erişim 15 Mart 2017, https://www.theguardian.com/technology/2015/jun/28/computer-writing-journalism-artificial-intelligence
  • Alexander, P. M. ve Silvis, E. (2014). Towards extending actor-network theory with a graphical syntax for information systems research. Information Research, 19(2).
  • Anderson, C. W. (2013). Towards A Sociology of Computational and Algorithmic Journalism. New Media & Society, 15(7), 1005-1021.
  • Ballantyne, Neil (2015). Human Service Technology and the Theory of the Actor Network. Journal of Technology in Human Services. 33, 104–117.
  • Bangalore, S., Rambow, O., ve Whittaker, S. (2000). Evaluation Metrics for Generation, içinde Proceedings of the 1st International Conference on Natural Language Generation, 1–8.
  • Belz, A., ve Albert, G. (2008). Intrinsic vs. Extrinsic Evaluation Measures for Referring Expression Generation. içinde Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics, Columbus, OH.
  • Bunz, M. (2010). In the US, algorithms are already reporting the news. The Guardian. Erişim 15 Mart 2017, https://www.theguardian.com/media/pda/2010/mar/30/digital-media-algorithms-reporting-journalism
  • Carlson, M. (2014). The Robotic Reporter: Automated Journalism and the Redefinition of Labor, Compositional Forms, and Journalistic Authority. Digital Journalism. 3, 416-431.
  • Ciampaglia, G.L.; Shiralkar, P.; Rocha, L. M.; Bollen, J.; Menczer, F.; Flammini,
  • A. (2015). Computational fact checking from knowledge networks, Plos One, 10(10), 1-13.
  • Clerwall, C. (2014). Enter the Robot Journalist. Journalism Practice. 8(5), 519–531.
  • Creech, B., ve Mendelson, A.L. (2015). Imagining the Journalist of the Future: Technological Visions of Journalism Education and Newswork. Communication Review, 18(2), 142–165.
  • Dawson, R. (2010). The Rise of Robot Journalists. Erişim 30 Mart 2017, http://rossdawsonblog.com/weblog/archives/2010/04/the_rise_of_rob.html
  • Diakopoulos, N. ve Koliska, M. (2016). Algorithmic Transparency in the News Media. Digital Journalism, Published online: 27 Haziran 2016, 1-20.
  • Dörr, K. N. (2016). Mapping the Field of Algorithmic Journalism. Digital Journalism 4 (6), 700-722.

L’automatisation de la production des nouvelles dans le contexte des opinions des spécialistes : le journalisme robotisé

Year 2017, Issue: 27, 79 - 108, 29.12.2017
https://doi.org/10.16878/gsuilet.373242

Abstract

Les évolutions des technologies liées à l’internet n’influencent pas uniquement la diffusion et la consommation de l’information, mais aussi le processus de production. Les contenus automatiques réalisés par les ordinateurs dans le cadre des activités de production du journalisme internet, ont débuté une nouvelle ère. Dans le cadre de cette recherche, nous avons étudié les champs d’utilisation des pratiques journalistiques connues sous plusieurs appelations telles que le journalisme-robot, contenu produit par un programme, contenu produit automatiquement, information algorithmique, information produite par l’ordinateur ou encore information automatisée. Dans la partie empirique de l’étude, nous avons analysé les changements et les transformations qu’a engendré le journalisme-robot dans les salles de rédaction, dans le secteur du journalisme, mais aussi dans le contenu de l’enseignement des facultés de communication. Ensuite, nous avons tenté de comprendre si cela a créé de nouveaux problèmes étiques. Pour répondre à cette question, nous nous sommes appuyés sur les entretiens réalisés en Turquie en nous basant sur la théorie de l’acteur réseau. Dans cette étude, nous avons sollicité les universitaires en génie informatique et en communication, mais aussi lesprogrammeurs et les journalistes, afin de déterminer la situation actuelle. Par ailleurs, lors des entretiens, nous avons traité avec attention la question des nouvelles descriptions d’emplois issues des nouvaux genres de journalisme et du cyberjounalisme. Enfin, nous avons développé des propositions concernant l’information automatisée et les processus de vérification dans l’enseignement du journalisme.

References

  • Adams, T. (28 Haziran 2015). And the Pulitzer goes to… a computer. The Guardian. Erişim 15 Mart 2017, https://www.theguardian.com/technology/2015/jun/28/computer-writing-journalism-artificial-intelligence
  • Alexander, P. M. ve Silvis, E. (2014). Towards extending actor-network theory with a graphical syntax for information systems research. Information Research, 19(2).
  • Anderson, C. W. (2013). Towards A Sociology of Computational and Algorithmic Journalism. New Media & Society, 15(7), 1005-1021.
  • Ballantyne, Neil (2015). Human Service Technology and the Theory of the Actor Network. Journal of Technology in Human Services. 33, 104–117.
  • Bangalore, S., Rambow, O., ve Whittaker, S. (2000). Evaluation Metrics for Generation, içinde Proceedings of the 1st International Conference on Natural Language Generation, 1–8.
  • Belz, A., ve Albert, G. (2008). Intrinsic vs. Extrinsic Evaluation Measures for Referring Expression Generation. içinde Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics, Columbus, OH.
  • Bunz, M. (2010). In the US, algorithms are already reporting the news. The Guardian. Erişim 15 Mart 2017, https://www.theguardian.com/media/pda/2010/mar/30/digital-media-algorithms-reporting-journalism
  • Carlson, M. (2014). The Robotic Reporter: Automated Journalism and the Redefinition of Labor, Compositional Forms, and Journalistic Authority. Digital Journalism. 3, 416-431.
  • Ciampaglia, G.L.; Shiralkar, P.; Rocha, L. M.; Bollen, J.; Menczer, F.; Flammini,
  • A. (2015). Computational fact checking from knowledge networks, Plos One, 10(10), 1-13.
  • Clerwall, C. (2014). Enter the Robot Journalist. Journalism Practice. 8(5), 519–531.
  • Creech, B., ve Mendelson, A.L. (2015). Imagining the Journalist of the Future: Technological Visions of Journalism Education and Newswork. Communication Review, 18(2), 142–165.
  • Dawson, R. (2010). The Rise of Robot Journalists. Erişim 30 Mart 2017, http://rossdawsonblog.com/weblog/archives/2010/04/the_rise_of_rob.html
  • Diakopoulos, N. ve Koliska, M. (2016). Algorithmic Transparency in the News Media. Digital Journalism, Published online: 27 Haziran 2016, 1-20.
  • Dörr, K. N. (2016). Mapping the Field of Algorithmic Journalism. Digital Journalism 4 (6), 700-722.

Automation of News Production in the Context of the Opinions of the Experts: Robot Journalism

Year 2017, Issue: 27, 79 - 108, 29.12.2017
https://doi.org/10.16878/gsuilet.373242

Abstract

The developments in internet technologies not only affect the

distribution and consumption of the news but also convert the news

production process. The news production activities of internet journalism

have entered a new stage with automatically generated news contents.

Researchers dub the automation in news production in various names such as robot journalism, robo-journalism, software generated content, automatically generated content, algorithmic news, computerized news and automated news. The literature part of the present study focuses on the usage areas of the automated news production technologies. The new ethical problems related to this phenomenon, transformation in the newsrooms and modifications in the educational contents are discussed in the second section of the research with in-depth interviews conducted in Turkey in the context of actor network theory. The present situation of the automated news has been examined by the interviews with the software engineers, journalists, and academics from the disciplines of computer engineering and communication sciences. The interviews are fundamentally focused on the new journalistic job types and descriptions related to “cyborg journalism”. Some particular recommendations for  automated news reporting and verification processes are also considered in the context of journalism education.

References

  • Adams, T. (28 Haziran 2015). And the Pulitzer goes to… a computer. The Guardian. Erişim 15 Mart 2017, https://www.theguardian.com/technology/2015/jun/28/computer-writing-journalism-artificial-intelligence
  • Alexander, P. M. ve Silvis, E. (2014). Towards extending actor-network theory with a graphical syntax for information systems research. Information Research, 19(2).
  • Anderson, C. W. (2013). Towards A Sociology of Computational and Algorithmic Journalism. New Media & Society, 15(7), 1005-1021.
  • Ballantyne, Neil (2015). Human Service Technology and the Theory of the Actor Network. Journal of Technology in Human Services. 33, 104–117.
  • Bangalore, S., Rambow, O., ve Whittaker, S. (2000). Evaluation Metrics for Generation, içinde Proceedings of the 1st International Conference on Natural Language Generation, 1–8.
  • Belz, A., ve Albert, G. (2008). Intrinsic vs. Extrinsic Evaluation Measures for Referring Expression Generation. içinde Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics, Columbus, OH.
  • Bunz, M. (2010). In the US, algorithms are already reporting the news. The Guardian. Erişim 15 Mart 2017, https://www.theguardian.com/media/pda/2010/mar/30/digital-media-algorithms-reporting-journalism
  • Carlson, M. (2014). The Robotic Reporter: Automated Journalism and the Redefinition of Labor, Compositional Forms, and Journalistic Authority. Digital Journalism. 3, 416-431.
  • Ciampaglia, G.L.; Shiralkar, P.; Rocha, L. M.; Bollen, J.; Menczer, F.; Flammini,
  • A. (2015). Computational fact checking from knowledge networks, Plos One, 10(10), 1-13.
  • Clerwall, C. (2014). Enter the Robot Journalist. Journalism Practice. 8(5), 519–531.
  • Creech, B., ve Mendelson, A.L. (2015). Imagining the Journalist of the Future: Technological Visions of Journalism Education and Newswork. Communication Review, 18(2), 142–165.
  • Dawson, R. (2010). The Rise of Robot Journalists. Erişim 30 Mart 2017, http://rossdawsonblog.com/weblog/archives/2010/04/the_rise_of_rob.html
  • Diakopoulos, N. ve Koliska, M. (2016). Algorithmic Transparency in the News Media. Digital Journalism, Published online: 27 Haziran 2016, 1-20.
  • Dörr, K. N. (2016). Mapping the Field of Algorithmic Journalism. Digital Journalism 4 (6), 700-722.
There are 15 citations in total.

Details

Journal Section Articles
Authors

Bilge Narin

Publication Date December 29, 2017
Published in Issue Year 2017Issue: 27

Cite

APA Narin, B. (2017). Uzman Görüşleri Bağlamında Haber Üretiminde Otomatikleşme: Robot Gazetecilik. Galatasaray Üniversitesi İletişim Dergisi(27), 79-108. https://doi.org/10.16878/gsuilet.373242

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