“Did you know that David Beckham speaks nine languages?”: AI-supported production process for enhanced personalization of audio-visual content

References

• Badii, A., A. Khan, A. Adetoye, and D. Fuschi. 2008. “Personalised Digital Media Adaptation and Delivery to Mobile Devices.” In Proceedings Third International Workshop on Mobile and Networking Technologies for Social Applications, Monterrey, Mexico.
   Google Scholar
• Bailer, W., and P. Schallauer. 2008. “Metadata in the Audiovisual Media Production Process.” In Multimedia Semantics — The Role of Metadata. Studies in Computational Intelligence. Vol. 101, 65–84, edited by M. Granitzer, M. Lux and M. Spaniol. Berlin, Heidelberg: Springer. doi:10.1007/978-3-540-77473-0_4.
   Google Scholar
• Bardakci, Ahmet, and Jeryl Whitelock. 2003. “Mass-Customisation in Marketing: The Consumer Perspective.” Journal of Consumer Marketing 20 (5): 463–479. doi:10.1108/07363760310489689.
   Google Scholar
• Bertoncelli, T., Mayer, O., and Lynass, M. 2016. Creativity, learning techniques and TRIZ. Procedia CIRP 39: 191–196. doi:10.1016/j.procir.2016.01.187.
   Google Scholar
• Bodó, B. 2019. “Selling News to Audiences – A Qualitative Inquiry into the Emerging Logics of Algorithmic News Personalization in European Quality News Media.” Digital Journalism 7 (8): 1054–1075. doi:10.1080/21670811.2019.1624185.
   Web of Science ®Google Scholar
• Borusiak, B.,. B. Pierański, R. Romanowski, and S. Strykowski. 2015. “Automatyzacja personalizacji reklamy internetowej.” Marketing i Rynek 3: 36–43.
   Google Scholar
• Botega, L. F., and J. C. Silva. 2015. “Knowledge-Based System for Categorization and Selection of Creativity Support Techniques.” International Journal of Knowledge Engineering and Management 4: 10.
   Google Scholar
• Botega, L. F., J. C. Silva, and G. R. Murphy. 2018. “Usability Study on the Interface of an Artificial Intelligence System for Creativity Support.” Human Factors in Design 7 (13): 41–60. doi:10.5965/2316796307132018041.
   Google Scholar
• Brusilovsky, P., A. Kobsa, and W. Nejdl. 2007. The Adaptive Web: Methods and Strategies of Web Personalization. Berlin: Springer.
   Google Scholar
• Busch, O. 2016. The Programmatic Advertising Principle. Heidelberg: Springer. doi:10.1007/978-3-319-25023-6_1.
   Google Scholar
• Chen, G., P. Xie, J. Dong, and T. Wang. 2019. “Understanding Programmatic Creative: The Role of AI.” Journal of Advertising 48 (4): 347–355. doi:10.1080/00913367.2019.1654421.
   Web of Science ®Google Scholar
• Diakopoulos, N. 2019. “Towards a Design Orientation on Algorithms and Automation in News Production.” Digital Journalism 7 (8): 1180–1184. doi:10.1080/21670811.2019.1682938.
   Web of Science ®Google Scholar
• Dorai, C. 2001. “Bridging the Semantic Gap in Content Management Systems: Computational Media Aesthetics.” In Proceedings of Cosign 2001, 91–99. Amsterdam, Netherlands.
   Google Scholar
• Dorussen, H., H. Lenz, and S. Blavoukos. 2005. “Assessing the Reliability and Validity of Expert Interviews.” European Union Politics 6 (3): 315–337. doi:10.1177/1465116505054835.
   Web of Science ®Google Scholar
• Fuschi, D. L., and A. Badii. 2013. “Media Production Process Management Support: The Challenges Faced by Decision Makers.” In Proceedings of the European, Mediterranean and Middle Eastern Conference on Information Systems, edited by A. Ghoneim, S. AlShawi, and M. Ali, 1–8. Windsor, UK.
   Google Scholar
• Gans, H. J. 1979. Deciding What’s News: A Study of CBS Evening News, NBC Nightly News, Newsweek, and Time. New York: Pantheon Books.
   Google Scholar
• Ghiassi, M., D. Lio, and B. Moon. 2015. “Pre-Production Forecasting of Movie Revenues with a Dynamic Artificial Neural Network.” Expert Systems with Applications 42 (6): 3176–3193. doi:10.1016/j.eswa.2014.11.022.
   Web of Science ®Google Scholar
• Ghose, A., A. Goldfarb, and S. P. Han. 2013. “How is the Mobile Internet Different? Search Costs and Local Activities.” Information Systems Research 24 (3): 613–631. doi:10.1287/isre.1120.0453.
   Web of Science ®Google Scholar
• Giarratano, J. C., and G. Riley. 2005. Expert Systems: Principles and Programming. Boston: Thomson Course Technology.
   Google Scholar
• Gitlin, T. 1980. The Whole World is Watching: Mass Media in the Making and Unmaking of the New Left. Berkeley: University of California Press.
   Google Scholar
• Glaser, B. G., and A. L. Strauss. 1967. The Discovery of Grounded Theory. Strategies for Qualitative Research. Chicago, IL: Aldine.
   Google Scholar
• Gross, L. S., J. C. Foust, and T. D. Burrows. 2005. Video Production Discipline and Techniques. 9th ed. New York: McGraw Hill.
   Google Scholar
• Hart, C. 1995. “Mass Customization: Conceptual Underpinnings, Opportunities and Limits.” International Journal of Service Industry Management 6 (2): 36–45. doi:10.1108/09564239510084932.
   Google Scholar
• Hansen, Mark, Roca-Sales, Meritxell, Keegan, Jon & King, George. 2017. Artificial Intelligence: Practice and Implications for Journalism. doi:10.13140/RG.2.2.17735.39849.
   Google Scholar
• Hesmondhalgh, D. 2010. “Media Industry Studies, Media Production Studies.” In Media and Society, edited by J. Curran, 3–23. New York: Bloomsbury Publishing.
   Google Scholar
• Huang, J. 2015. “A Study on Programmatic Buying in the Era of Big Data.” News Research 4: 58–60.
   Google Scholar
• International Data Corporation. 2020. Worldwide Artificial Intelligence Spending Guide. https://www.idc.com/tracker/showproductinfo.jsp?containerId=IDC_P33198
   Google Scholar
• Jarek, K., and G. Mazurek. 2019. “Marketing and Artificial Intelligence.” Central European Business Review 8 (2): 46–55. doi:10.18267/j.cebr.213.
   Google Scholar
• Jordanous, A. 2016. “Four PPPPerspectives on Computational Creativity in Theory and in Practice.” Connection Science 28 (2): 194–123. doi:10.1080/09540091.2016.1151860.
   Web of Science ®Google Scholar
• Kress, G. (2003). Literacy in the new media age. Routledge.
   Google Scholar
• Le Thi, Hoai An, Hoai Minh Le, and Tao Pham Dinh. 2015. “Feature Selection in Machine Learning: An Exact Penalty Approach Using a Difference of Convex Function Algorithm.” Machine Learning 101 (1–3): 163–186. doi:10.1007/s10994-014-5455-y.
   Web of Science ®Google Scholar
• Liebold, R., and R. Trinczek. 2009. “Experteninterview.” In Handbuch Methoden Der Organisationsforschung: Quantitative Und Qualitative Methoden, edited by S. Kühl, P. Strodtholz, and A. Taffertshofer, 33–56. Wiesbaden: VS Verlag für Sozialwissenschaften.
   Google Scholar
• Myers, M. D. 1997. “Qualitative Research in Information Systems.” MIS Quarterly 21 (2): 241–242. doi:10.2307/249422.
   Web of Science ®Google Scholar
• Napoli, P. M. 2011. Audience Evolution: New Technologies and the Transformation of Media Audiences. New York: Colombia University Press.
   Google Scholar
• New European Media. 2018. AI in the Media and Creative Industries. https://nem-initiative.org/wp-content/uploads/2018/10/nem-positionpaper-aiinceativeindustry.pdf
   Google Scholar
• Patel, V. L., and T. G. Kannampallil. 2015. “Cognitive Informatics in Biomedicine and Healthcare.” Journal of Biomedical Informatics 53: 3–14. doi:10.1016/j.jbi.2014.12.007.
   PubMed Web of Science ®Google Scholar
• Qin, X., and Z. Jiang. 2019. “The Impact of AI on the Advertising Process: The Chinese Experience.” Journal of Advertising 48 (4): 338–346. doi:10.1080/00913367.2019.1652122.
   Web of Science ®Google Scholar
• Rich, E., and K. Knight. 2004. Artificial Intelligence. New York: Tata McGraw.
   Google Scholar
• Riedl, M. 2016. “Computational Narrative Intelligence: A Human-Centered Goal for Artificial Intelligence.” In CHI 2016 Human Centred Machine Learning Workshop, Atlanta: Georgia Institute of Technology.
   Google Scholar
• Rodon, J., and J. Pastor-Collado. 2007. “Applying Grounded Theory to Study the Implementation of an Inter-Organizational Information System.” The Electronic Journal of Business Research Methods Volume 5: 71–82.
   Google Scholar
• Silva, J. C. 1999. “Concurrent Engineering Perspective of Maintenance Aspects through an Expert System Prototype.” In AAAI’s Spring Symposium Series. Vol. 4.
   Google Scholar
• Smith, J., D. Joshi, B. Huet, W. Hsu, and J. Cota. 2017. “Harnessing A.I. for Augmenting Creativity: Application to Movie Trailer Creation.” In Proceedings of the 25th ACM International Conference on Multimedia, 1799–1808. Mountain View, CA. doi:10.1145/3123266.3127906.
   Google Scholar
• Strauss, A., and J. M. Corbin. 1990. Basics of Qualitative Research: Grounded Theory Procedures and Techniques. Newbury Park, CA: Sage Publications.
   Google Scholar
• Stray, J. 2019. “Making Artificial Intelligence Work for Investigative Journalism.” Digital Journalism 7 (8): 1076–1097. doi:10.1080/21670811.2019.1630289.
   Web of Science ®Google Scholar
• Tarka, P. 2013. “Media Społecznościowe a Metody Personalizacji i Rekomendacji Treści Reklamowych i Oferty Produktowej.” Marketing i Rynek 6: 24–28.
   Google Scholar
• Van Rijsselberge, D., M. Verwaest, E. Mannens, and R. Van de Walle. 2010. “How Metadata Enables Enriched File-Based Production Workflows.” SMPTE Motion Imaging Journal 119 (4): 27–38. doi:10.5594/J11380.
   Google Scholar
• Zapata-Rivera, D., and I. Katz. 2014. “Keeping Your Audience in Mind: Applying Audience Analysis to the Design of Interactive Score Reports.” Assessment in Education Principles Policy and Practice 21: 442–463. doi:10.1080/0969594X.2014.936357.
   Google Scholar
• Žnidaršič, J., and E. Jereb. 2011. “Innovations and Lifelong Learning in Sustainable Organization.” Organizacija 44 (6): 185–194. doi:10.2478/v10051-011-0020-y.
   Google Scholar