References
Anderson, C. (2006). The long tail: Why the future of business is selling less of more. Hyperion. Bärtl, M. (2018). YouTube channels, uploads and views: A statistical analysis of the past 10 years. Convergence, 24(1), 16-32. Berger, J., & Milkman, K. L. (2012). What makes online content viral? Journal of Marketing Research, 49(2), 192-205. Borghol, Y., Ardon, S., Carlsson, N., Eager, D., & Mahanti, A. (2012). The untold story of the clones: Content-agnostic factors that impact YouTube video popularity. In Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 1186-1194). Association for Computing Machinery. Burgess, J., & Green, J. (2018). YouTube: Online video and participatory culture (2nd ed.). Polity Press. Chen, C. P. (2016). Forming digital self and parasocial relationships on YouTube. Journal of Consumer Culture, 16(1), 232-254. Covington, P., Adams, J., & Sargin, E. (2016). Deep neural networks for YouTube recommendations. In Proceedings of the 10th ACM Conference on Recommender Systems (pp. 191-198). Association for Computing Machinery. Cunningham, S., & Craig, D. (2019). Social media entertainment: The new intersection of Hollywood and Silicon Valley. New York University Press. Cunningham, S., Craig, D., & Silver, J. (2016). YouTube, multichannel networks and the accelerated evolution of the new screen ecology. Convergence, 22(4), 376-391. Davenport, T. H., & Beck, J. C. (2001). The attention economy: Understanding the new currency of business. Harvard Business School Press. Figueiredo, F., Benevenuto, F., & Almeida, J. M. (2011). The tube over time: Characterizing popularity growth of YouTube videos. In Proceedings of the Fourth ACM International Conference on Web Search and Data Mining (pp. 745-754). Association for Computing Machinery. Horton, D., & Wohl, R. R. (1956). Mass communication and para-social interaction: Observations on intimacy at a distance. Psychiatry, 19(3), 215-229. Katz, E., Blumler, J. G., & Gurevitch, M. (1973). Uses and gratifications research. Public Opinion Quarterly, 37(4), 509-523. Keller, K. L. (1993). Conceptualizing, measuring, and managing customer-based brand equity. Journal of Marketing, 57(1), 1-22. Khan, M. L. (2017). Social media engagement: What motivates user participation and consumption on YouTube? Computers in Human Behavior, 66, 236-247. Kim, J. (2012). The institutionalization of YouTube: From user-generated content to professionally generated content. Media, Culture & Society, 34(1), 53-67. Lange, P. G. (2007). Publicly private and privately public: Social networking on YouTube. Journal of Computer-Mediated Communication, 13(1), 361-380. Li, H., & Kannan, P. K. (2014). Attributing conversions in a multichannel online marketing environment: An empirical model and a field experiment. Journal of Marketing Research, 51(1), 40-56. Munger, K., & Phillips, J. (2022). Right-wing YouTube: A supply and demand perspective. The International Journal of Press/Politics, 27(1), 186-219. E-ISSN 2545-529x Napoli, P. M. (2011). Audience evolution: New technologies and the transformation of media audiences. Columbia University Press. Pauwels, K., Ambler, T., Clark, B. H., LaPointe, P., Reibstein, D., Skiera, B., Wierenga, B., & Wiesel, T. (2009). Dashboards as a service: Why, what, how, and what research is needed? Journal of Service Research, 12(2), 175-189. Postigo, H. (2016). The socio-technical architecture of digital labor: Converting play into YouTube money. New Media & Society, 18(2), 332-349. Rieder, B., Matamoros-Fernández, A., & Coromina, Ò. (2018). From ranking algorithms to ranking cultures: Investigating the modulation of visibility in YouTube search results. Convergence, 24(1), 50-68. Shao, X., & Li, L. (2011). Data-driven multi-touch attribution models. In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 258-264). Association for Computing Machinery. Smith, A. N., Fischer, E., & Yongjian, C. (2012). How does brand-related user-generated content differ across YouTube, Facebook, and Twitter? Journal of Interactive Marketing, 26(2), 102-113. Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333-339. Sundar, S. S., & Limperos, A. M. (2013). Uses and grats 2.0: New gratifications for new media. Journal of Broadcasting & Electronic Media, 57(4), 504-525. Szabo, G., & Huberman, B. A. (2010). Predicting the popularity of online content. Communications of the ACM, 53(8), 80-88. Torraco, R. J. (2005). Writing integrative literature reviews: Guidelines and examples. Human Resource Development Review, 4(3), 356-367. vidiq. (2023). How often to post on YouTube? An analysis of more than five million channels. Retrieved from https://vidiq.com Webster, J. G. (2014). The marketplace of attention: How audiences take shape in a digital age. MIT Press. Wedel, M., & Kamakura, W. A. (2000). Market segmentation: Conceptual and methodological foundations (2nd ed.). Kluwer Academic Publishers. Welbourne, D. J., & Grant, W. J. (2016). Science communication on YouTube: Factors that affect channel and video popularity. Public Understanding of Science, 25(6), 706-718.
