The Persistence of the Popular in Mobile News Consumption

References

• Anderson, C. 2006. The Long Tail: Why the Future of Business Is Selling Less of More. 1st ed. New York, NY: Hyperion.
   Google Scholar
• Asch, S. 1951. “Effects of Group Pressure Upon the Modification and Distortion of Judgment.” Journal of Social Psychology 12: 433–465.
   Google Scholar
• Banikarim, S. 2018. “R.I.P. Pivot to Video (2017–2017).” Accessed 21 October 2018. http://www.niemanlab.org/2017/12/r-i-p-pivot-to-video-2017-2017/.
   Google Scholar
• Braun, J. A., and J. L. Eklund. 2019. “Fake News, Real Money: Ad Tech Platforms, Profit-Driven Hoaxes, and the Business of Journalism” Digital Journalism 7 (1): 1–21. doi: 10.1080/21670811.2018.1556314.
   Web of Science ®Google Scholar
• Bucher, T. 2017. “The Algorithmic Imaginary: Exploring the Ordinary Affects of Facebook Algorithms.” Information, Communication & Society 20 (1): 30–44.
   Web of Science ®Google Scholar
• Bulik, M. 2016. “Which Headlines Attract Most Readers?” The New York Times. https://www.nytimes.com/2016/06/13/insider/which-headlines-attract-most-readers.html.
   Google Scholar
• Carlson, M. 2017. “Facebook in the News.” Digital Journalism 6: 4–20.
   Web of Science ®Google Scholar
• Costera Meijer, I., and T. Groot Kormelink. 2015. “Checking, Sharing, Clicking and Linking: Changing Patterns of News Use Between 2004 and 2014.” Digital Journalism 3: 664–679.
   Web of Science ®Google Scholar
• Dunaway, J., K. Searles, M. Sui, and N. Paul. 2018. “News Attention in a Mobile Era.” Journal of Computer-Mediated Communication 23: 107–124.
   Web of Science ®Google Scholar
• Elberse, A. 2013. Blockbusters: Hit-Making, Risk-Taking, and the Big Business of Entertainment. Block-Busters : Hit-Making, Risk-Taking, and the Big Business of Entertainment CN - Stacks 338.47302 E37b. 1st ed. New York, NY: Henry Holt and Company.
   Google Scholar
• Eliot, K. 2018. “Is Augmented Reality the News Media’s New Frontier?” Accessed 21 October 2018. https://alumni.berkeley.edu/california-magazine/just-in/2018-09-18/augmented-reality-news-medias-new-frontier.
   Google Scholar
• Fedeli, S., and K. E. Matsa. 2018. “Use of Mobile Devices for News Continues to Grow, Outpacing Desktops and Laptops. Pew Research Center.” http://www.pewresearch.org/fact-tank/2018/07/17/use-of-mobile-devices-for-news-continues-to-grow-outpacing-desktops-and-laptops/.
   Google Scholar
• Gentzkow, M., and J. M. Shapiro. 2011. “Ideological Segregation Online and Offline.” Quarterly Journal of Economics 126: 1799–1839.
   Web of Science ®Google Scholar
• Groot Kormelink, T., and I. Costera Meijer. 2014. “Tailor-Made News: Meeting the Demands of News Users on Mobile and Social Media.” Journalism Studies 15: 632–641.
   Web of Science ®Google Scholar
• Guess, A., B. Nyhan, B. Lyons, and J. Reifler. 2018. Avoiding the Echo Chambers About Echo Chambers.
   Google Scholar
• Hindman, M. S. 2009. The Myth of Digital Democracy. Princeton, NJ: Princeton University Press.
   Google Scholar
• Hindman, M. S. 2018. The Internet Trap: How the Digital Economy Builds Monopolies and Undermines Democracy. Princeton, NJ: Princeton University Press.
   Google Scholar
• Knobloch-Westerwick, S., N. Sharma, D. L. Hansen, and S. Alter. 2005. “Impact of Popularity Indications on Readers’ Selective Exposure to Online News.” Journal of Broadcasting & Electronic Media 49: 296–313.
   Web of Science ®Google Scholar
• Lawrence, R. G., D. Radcliffe, and T. R. Schmidt. 2017. “Practicing Engagement.” Journalism Practice 1–21.
   Google Scholar
• Martin, J. A. 2015. “Mobile News Use and Participation in Elections: A Bridge for the Democratic Divide?” Mobile Media & Communication 3: 230–249.
   Web of Science ®Google Scholar
• Molla, R. 2018. People Consumed More Media than Ever Last Year — But Growth Is Slowing.
   Google Scholar
• Molyneux, L. 2018. “Mobile News Consumption: A Habit of Snacking.” Digital Journalism 6: 634–650.
   Web of Science ®Google Scholar
• Mutz, D. C., and L. Young. 2011. “Communication and Public Opinion.” Public Opinion Quarterly 75: 1018–1044.
   Web of Science ®Google Scholar
• Napoli, P. M. 2014. “Automated Media: An Institutional Theory Perspective on Algorithmic Media Production and Consumption.” Communication Theory 24: 340–360.
   Web of Science ®Google Scholar
• Napoli, P. M. 2016. “Requiem for the Long Tail: Towards a Political Economy of Content Aggregation and Fragmentation.” International Journal of Media and Cultural Politics 12: 341–356.
   Web of Science ®Google Scholar
• Nelson, J. L. 2018. “The Elusive Engagement Metric.” Digital Journalism 6(4): 528–544. doi: 10.1080/21670811.2018.1445000.
   Web of Science ®Google Scholar
• Nelson, J. L., and R. F. Lei. 2018. “The Effect of Digital Platforms on News Audience Behavior.” Digital Journalism 6: 619–633.
   Web of Science ®Google Scholar
• Nelson, J. L., and H. Taneja. 2018. “The Small, Disloyal Fake News Audience: The Role of Audience Availability in Fake News Consumption.” New Media & Society 20: 3720–3737.
   Web of Science ®Google Scholar
• Nelson, J. L., and J. G. Webster. 2016. “Audience Currencies in the Age of Big Data.” JMM International Journal on Media Management.
   Google Scholar
• Nelson, J. L., and J. G. Webster. 2017. “The Myth of Partisan Selective Exposure: A Portrait of the Online Political News Audience.” Social Media + Society 3: 2056305117729314.
   Web of Science ®Google Scholar
• Newman, N., R. Fletcher, A. Kalogeropoulos, D. A. Levy, and R. K. Nielsen. 2018. “Reuters Institute Digital News Report 2018.” http://media.digitalnewsreport.org/wp-content/uploads/2018/06/digital-news-report-2018.pdf?x89475.
   Google Scholar
• Nielsen, R. K. 2015. Local Journalism: The Decline of Newspapers and the Rise of Digital Media. London, UK: Tauris Academic Studies.
   Google Scholar
• O’Connor, A. J. 2013. “The Power of Popularity: An Empirical Study of the Relationship Between Social Media Fan Counts and Brand Company Stock Prices.” Social Science Computer Review 31: 229–235.
   Web of Science ®Google Scholar
• O’Reilly, L. 2013. “The 30 Biggest Media Companies in the World.” Accessed 23 October 2018. https://www.businessinsider.com/the-30-biggest-media-owners-in-the-world-2016-5.
   Google Scholar
• Pariser, E. 2011. The Filter Bubble : What the Internet is Hiding from you CN - Stacks ZA4237 .P37 2011 CN - Stacks 004.678 P232fStacks 004.678 P232f. New York, NY: Penguin Press.
   Google Scholar
• Prior, M. 2009. “The Immensely Inflated News Audience: Assessing Bias in Self-Reported News Exposure.” Public Opinion Quarterly 73: 130–143.
   Web of Science ®Google Scholar
• Rosenstein, A. W., and A. E. Grant. 1997. “Reconceptualizing the Role of Habit: A New Model of Television Audience Activity.” Journal of Broadcasting & Electronic Media 41: 324–344.
   Web of Science ®Google Scholar
• Salganik, M. J., P. S. Dodds, and D. J. Watts. 2006. “Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market.” Science (New York, N.Y.) 311: 854.
   PubMed Web of Science ®Google Scholar
• Schmitz Weiss, A. 2015. “Place-Based Knowledge in the Twenty-First Century.” Digital Journalism 3: 116–131.
   Web of Science ®Google Scholar
• Shirky, C. 2008. Here Comes Everybody: The Power of Organisation Without Organisations. London, UK: Allen Lane.
   Google Scholar
• Siles, I., and P. J. Boczkowski. 2012. Making Sense of the Newspaper Crisis: A Critical Assessment of Existing Research and an Agenda for Future Work. London, England: New Media & Society.
   Google Scholar
• Stroud, N. J. 2011. Niche News : The Politics of News Choice. EBSCOhost, ed. New York, NY: Oxford University Press.
   Google Scholar
• Taneja, H. 2016. “Using Commercial Audience Measurement Data in Academic Research.” Communication Methods and Measures 10: 176.
   Web of Science ®Google Scholar
• Taneja, H. 2017. “Mapping an Audience-Centric World Wide Web: A Departure from Hyperlink Analysis.” New Media & Society 19: 1331–1348.
   Web of Science ®Google Scholar
• Taneja, H., J. G. Webster, E. C. Malthouse, and T. B. Ksiazek. 2012. “Media Consumption Across Platforms: Identifying User-Defined Repertoires.” New Media & Society 14: 951–968.
   Web of Science ®Google Scholar
• Taneja, H., A. X. Wu, and S.Edgerly. 2017. “Rethinking the Generational Gap in Online News Use: An Infrastructural Perspective.” New Media & Society 20: 1792–1812.
   Web of Science ®Google Scholar
• Thurman, N., J.Moeller, N. Helberger, and D. Trilling. 2018. “My Friends, Editors, Algorithms, and I.” Digital Journalism 1–23.
   Web of Science ®Google Scholar
• Tran, K. 2018. “Mobile Media Consumption has Surged Since 2011.” Accessed 12 October 2018. https://www.businessinsider.com/mobile-media-surging-since-2011-2018-5.
   Google Scholar
• Van Damme, K., C. Courtois, K. Verbrugge, and L. De Marez. 2015. “What’s APPening to News? A Mixed-Method Audience-Centred Study on Mobile News Consumption.” Mobile Media & Communication 3: 196–213.
   Web of Science ®Google Scholar
• Wang, S. 2017. BuzzFeed’s Strategy for Getting Content to Do Well on All Platforms? Adaptation and a Lot of A/B Testing.
   Google Scholar
• Webster, J. G. 2014. The Marketplace of Attention. Cambridge, MA: MIT Press.
   Google Scholar
• Webster, J. G., and T. B. Ksiazek. 2012. “The Dynamics of Audience Fragmentation: Public Attention in an Age of Digital Media.” Journal of Communication 62: 39–56.
   Web of Science ®Google Scholar
• Westlund, O. 2013. “MOBILE NEWS.” Digital Journalism 1 (1): 6–26.
   Web of Science ®Google Scholar
• Westlund, O., and M. A. Färdigh. 2015. “Accessing the News in an Age of Mobile Media: Tracing Displacing and Complementary Effects of Mobile News on Newspapers and Online News.” Mobile Media & Communication 3 (1): 53–74.
   Web of Science ®Google Scholar
• Wolf, C., and A. Schnauber. 2015. “News Consumption in the Mobile Era.” Digital Journalism 3: 759–776.
   Web of Science ®Google Scholar
• Yang, J. 2015. “Effects of Popularity-Based News Recommendations (“Most-Viewed”) on Users’ Exposure to Online News.” Media Psychology 19: 1–29.
   Web of Science ®Google Scholar