David Stack Professor Lyn J. Freymiller, Ph.D. CAS 137H 6 November 2012 Fragmentation and Polarization of News Media Audiences and the Political Implications We are only thirty-five years removed from an era when just three television networks dominated their market, collectively broadcasting to over ninety percent of the American primetime viewership (Veronis qtd. in Webster 366). Since that time, the proliferation of cable television and the World Wide Web has presented consumers with a drastic increase in content choice. These technological advancements have altered both the size and diversity of the typical audience, developments referred to as audience fragmentation and polarization respectively. Though the exact degree to which these have occurred remains contentious, these changes in media consumption have extremely significant implications for the relationship between state and citizen, a vital connection with a custodianship traditionally held by the news media. Based on the literature on the subject, it is clear that both fragmentation and polarization have occurred to some extent and that this paradigm shift has the potential to fundamentally alter the mechanics of our republic by propagating inaccurate beliefs, furthering the ideological segregation of American society, harshening the “culture wars,” destroying the common forum that the old paradigm represented, and disrupting the main three political effects of that same regime, though full realization of these implications appears unlikely (Gentzkow and Shapiro 2; Webster 366; Blumler and Kavanagh 222). The fragmentation of the average American television audience has been widely observed and is relatively simple to show empirically. From 1985 to early 2003, the share of Stack 2 television viewing provided by the “big-three networks” dropped from 69.3% to 29%. During the same period, the percent of television households that subscribed to multichannel providers increased from 43% to 82%, and the average number of channels a television household had access to increased from 14 to 101 (Webster 368). The rapid spread of Internet access has increased consumer choice of news content in a similar way. Gentzkow and Shapiro’s data set of national news websites included 1,379 entries (6). Of course, like television the average web user regularly uses only a small fraction of the available content. Four news sites account for around fifty percent of page views, and the top twenty sites account for close to eighty percent (18). However, the “long-tail” of web audience distribution (a term that refers to the way the considerable number of news sites that garner relatively small amounts of page views appear on a bar graph) is even longer than that of TV. The introduction and proliferation of multichannel television and the World Wide Web have had the undeniable effect of shrinking the typical news audience. The more controversial question is the extent to which fragmentation has led to ideological segregation and its associated political effects. Audience polarization, a term that refers to the ideological self-segregation of mass media consumers, is a development that merits significant analysis because of its expected effects on our democratic system. Cass Sunstein articulates his (and many others’) fearful prediction for the future: Our communications market is rapidly moving [toward a situation where] people restrict themselves to their own points of view—liberals watching and reading mostly or only liberals; moderates, moderates; conservatives, conservatives; Neo-Nazis, Neo-Nazis… [This limits the] unplanned, unanticipated encounters [that are] central to democracy itself. (4, 8) Stack 3 But is Sunstein’s assertion accurate? If so, what are are its causes? Though they squabble over the magnitude, it seems the consensus among the research community is that audience polarization has occurred. Studies from as far back as 2004 confirm evidence of that ongoing shift. That year, the Pew Research Center for the People and the Press found that the share of Fox News viewers who self-reported as conservative and the share of CNN viewers who self-reported as liberal were both rapidly increasing. In that same paper, it was reported that “the public’s evaluations of media credibility also are more divided along ideological and partisan lines” (“News Audiences Increasingly Politicized” 1). Three years later, Pew published results showing that different television programs had audiences with distinctly different levels of political knowledge, a sign of educational (and thus, because of the dynamics of the American political landscape, to a large part ideological) self-segregation. Programs ranged from The Daily Show and The Colbert Report, the two shows tied for first place with 54% of the audience belonging to “the high knowledge group,” to network morning shows, with an average of only 34 percent belonging to that same group (“What Americans Know: 1989-2007” 13). This segmentation is indicative of “vertical Balkanization,” a process where the “communication patterns of elites and masses… increasingly diverge from each other,” as envisioned by Elihu Katz as far back 1996 (qtd. in Blumler and Kavanagh 224). Perhaps the most balanced and comprehensive effort to measure the extent of audience polarization came from Matthew Gentzkow and Jesse M. Shapiro, as reported in their paper entitled “Ideological Segregation Online and Offline.” As measured by the “isolation index,” which is calculated by determining the difference in exposure to conservative media between self-reported liberals and conservatives, Gentzkow and Shapiro found the following. Although news consumers with extremely high or low conservative exposure were found to be rare, it was established that the Stack 4 Internet’s estimated isolation index of 7.5 was higher than that of “broadcast television (1.8), magazines (2.9), cable television (3.3), and local newspapers (4.1)… [and] eliminating the Internet would reduce the ideological segregation of news and opinion consumption across all media from 4.9 to 3.8” (3). These results were qualified by reporting that new media consumption patterns were still considerably less ideologically segregated than (in ascending order of polarization) “actual networks formed through voluntary associations… work… neighborhoods… or family” (4). Thus, Internet news is one of the most polarized media, but to be presented in context it must be considered that is still considerably less segregated than the extensive and growing residential ideological segregation present in the United States, a phenomenon studied extensively by Bishop and Cushing in The Big Sort. Finally, although it’s been shown that the magnitude of polarization has so far been relatively limited, it should be noted that “the most extreme Internet sites are far more polarized than any source offline” (Gentzkow and Shapiro 15). Regardless of the degree to which the American people choose to consume it, the advent of the Internet has given them access to arguably the most polarized mass distributors of news in the nation’s history. Exactly what causes consumers to self-segregate is another question without a simple answer. Generally speaking, theorists agree that the dominant force creating news bias is the profit motive, which encourages firms to target their coverage to appeal to certain niches of the populace (Bernhardt, Krasa, and Polborn 1092; Mullainathan and Shleifer 1031). This is known as the demand-side explanation (to differentiate it from the weaker supply-side explanation). However, there isn’t a consensus on a single force driving consumers to prefer news biases that coincide with their own ideology. Many explanations do stem from conceptions of cognitive consistency. Summarizing years of research into the subject, Mullainathan and Shleifer state: Stack 5 The idea that people appreciate, find credible, enjoy, and remember stories consistent with their beliefs is standard in the communications literature… Research on memory suggests that people tend to remember information consistent with their beliefs better than that inconsistent with their beliefs… Research on information processing shows that people find data inconsistent with their beliefs to be less credible and update less as a result. (1032) Cognitive dissonance theory, introduced by Leon Festinger in 1957, dictates that the “existence of dissonance, being psychologically uncomfortable, will motivate a person to try to reduce dissonance and achieve consonance… When dissonance is present… the person will actively avoid situations and information that will increase the dissonance” (3). Cognitive dissonance is defined as the situation arising from when two beliefs or bits of knowledge held by the same person conflict with each other. Extensions of this theory include bias blind spot theory – which holds that people are “deluded about their own biases,” that is they irrationally assume they don’t exist – and the hostile media phenomenon, which is the observation that partisans from opposing sides viewing the same broadcast will both tend to feel that the report was biased against them (Stone 261). “In response to their perceptions of hostile bias in the mainstream media environment, partisans of both sides have begun to explore alternative sources of news” (Iyengar and Hahn 22). Finally, and perhaps most importantly, what are this paradigm shift’s implications for our political system? Research has indicated that for citizens to form “accurate beliefs… individuals must encounter information which will sometimes contradict their pre-existing views” (Gentzkow and Shapiro 2). One common fear articulated by many theorists is that news audiences will splinter into “many small, relatively exclusive communities of interest that never Stack 6 encounter dissident voices or different points of view” (Webster 366). The homogeneity of these “echo spheres” would amplify extreme points of view in accordance with the extensive research of social psychologists (Bishop and Cushing 6). Katz and others also consider these technological advancements as a threat to the symbolic common forum the old media provided, especially as tool for social integration (qtd. in Webster 366). Whereas previously liberals and conservatives consumed basically the same programming (even if they digested it differently), polarization has slowly eliminated this common diet. This paradigm shift has been additionally theorized as a disruption to the three main political effects of mass media: “agenda setting, the spiral of silence, and the cultivation hypothesis” (Blumler and Kavanagh 222). Old media tended to set a common political agenda for the nation. Now liberals can be extremely focused on one issue, say healthcare reform, while conservatives are obsessed with another, say the war in Afghanistan. This does not bode well for our deliberative democracy. Previously, those with extreme views felt marginalized by mass media, discouraging them from action. Now every extremist niche – be it Neo-Nazis, Communists, or Black Separatists – has a forum to not only consume targeted media but discuss it with like-minded individuals. With respect to the cultivation hypothesis, which views “mass media as a socializing agent” and declares that television gradually changes viewers’ beliefs as they start to see the reality depicted on TV as increasingly real, audience polarization is particularly troubling (Chandler). If conservatives and liberals start to believe in fundamentally different realities, we may encounter an intractable problem where debate centers on questions of conjecture and definition, thus making effective policymaking nearly impossible. To summarize, technological advancement has presented citizens with an unprecedented array of options in consuming news content. This increase in choice has made the typical news Stack audience smaller and less diverse ideologically. These changes have paradigm-shifting implications for the way our elected leaders connect with and are held accountable to their constituents. 7 Stack 8 Works Cited Bernhardt, D., S. Krasa, and M. Polborn. "Political Polarization and the Electoral Effects of Media Bias." Journal of Public Economics 92.5-6 (2008): 1092-1104. Print. Bishop, Bill, and Robert G. Cushing. The Big Sort: Why the Clustering of Like-Minded America Is Tearing Us Apart. Boston: Houghton Mifflin, 2008. Print. Blumler, Jay G. and Kavanagh, Dennis (1999): The Third Age of Political Communication: Influences and Features, Political Communication, 16:3, 209-230 Chandler, Daniel. "Cultivation Theory." Cultivation Theory. Aberystwyth University, 18 Sept. 1995. Web. <http://www.aber.ac.uk/media/Documents/short/cultiv.html>. Festinger, Leon. A Theory of Cognitive Dissonance. Stanford, CA: Stanford UP, 1962. Google Books. Web. <http://books.google.com/books?hl=en&lr=&id=voeQ8CASacC&oi=fnd&pg=PA1&dq=a+theory+of+cognitive+dissonance&ots=9w83TxqgtC &sig=Fq8wqfO0_u3oqpRV3TzXmg6kpfQ>. Gentzkow, Matthew Aaron and Shapiro, Jesse M., Ideological Segregation Online and Offline (April 13, 2010). Chicago Booth Initiative on Global Markets Working Paper No. 55. http://ssrn.com/abstract=1588920 Iyengar, Shanto, and Kyu S. Hahn. "Red Media, Blue Media: Evidence of Ideological Selectivity in Media Use." Journal of Communication 59.1 (2009): 19-39. Print. Mullainathan, Sendhil, and Andrei Shleifer. “The Market for News”, American Economic Review, Vol. 95, pp. 1031—1053, September 2005. Pew Research Center for the People and the Press. News Audiences Increasingly Politicized. Rep. Pew Research Center for the People and the Press, 8 June 2004. Web. <http://www.people-press.org/files/legacy-pdf/215.pdf>. Stack 9 Pew Research Center for the People and the Press. What Americans Know: 1989-2007. Rep. Pew Research Center for the People and the Press, 15 Apr. 2007. Web. <http://www.peoplepress.org/files/legacy-pdf/319.pdf>. Stone, Daniel F. "Ideological Media Bias." Journal of Economic Behavior & Organization 78.3 (2011): 256-271. Sunstein, Cass R. Republic.com. Princeton, NJ: Princeton UP, 2001. Print. Webster, J. G. (2005). Beneath the Veneer of Fragmentation: Television Audience Polarization in a Multi-Channel World. Journal of Communication. 55(2), 366-382. Reprinted in G. Doyle (Ed.). (2007). Economics of the Mass Media. Cheltenham, UK: Edward Elgar.