Content-Type: text/html TV and Religion 2 Running head: TV and Religion Created in Whose Image? Examining Network TV's Treatment of Religion Scott H. Clarke 423 Communication Arts Bldg. Michigan State University East Lansing MI 48824-1212 (517) 432-5915 [log in to unmask] TV and Religion 2 Abstract 39 fictional network television programs were analyzed for content relating to religious characters. Results suggest that television characters' religiosity is not an important consideration for television producers as a whole. However, programs produced by Paxson Communications and Viacom; as well as those airing on the PAX network, have significantly more religious characters than average. This finding supports both gatekeeping theory and Paxson's stated goal of increasing the amount of spirituality on network TV. TV and Religion 2 Created in Whose Image? Examining Network TV's Treatment of Religion Research into commercial television's treatment of religion has been scant, despite repeated charges that Hollywood is biased against the religious . In fact, fewer than 15 published studies have treated religion as a content variable, and some of those only as part of a larger project . The remainder have been self-described "exploratory" studies of TV programming , advertising and music videos . Furthermore, all prior research has examined religious content from an audience effects perspective. Several scholars have called for research into the production of television content dealing with religion . Some have suggested applying the "gatekeeping" model to content creators to determine how their perceptions of religion and their audiences affect the programs they produce . To date, however, no such studies have been conducted. Neither has any comprehensive study of prime-time entertainment programming – the most widely viewed – been conducted since the 1990-1991 television season . At the time, only four broadcast networks existed. Today, seven networks program a regular schedule nationwide, one with a stated goal of increasing the amount of "spirituality" on television . Therefore, research replicating and expanding earlier findings is also needed. This study contributes to the existing literature, both by replicating and extending earlier findings and by studying religious television content from a structural perspective. Gatekeeping in Television Gatekeeping is a social theory originally developed to describe the process by which family members select the food they eat . Communication scholar David Manning White then borrowed the term to describe how an editor decides which news stories to print . Since that time, hundreds of studies on gatekeeping within news organizations have been conducted . Over time, the focus of such research has also broadened to include "elements of the process through which news items (for example) pass on their way from discovery to transmission [to an audience] ." Virts and Keeler first suggested applying the gatekeeping metaphor to the producers of fictional television content. They stated: "The importance of studying television gatekeepers is rooted in the hypothesis that the personal attitudes, beliefs, values and perceptions of relatively few key people have direct bearing on the nature of television programming. It might be hypothesized further, then, that television gatekeepers' perceptions of the significance of Judeo-Christian beliefs and practices in society generally, their own religious beliefs and practices, their own perceptions of Judeo-Christians and their beliefs and practices, and their perceptions of professional and audience expectations regarding the portrayal of religion greatly influence the ultimate portrayal of religion in their programming ." To date, however, this idea remains untested. This study will provide empirical data to address this research gap. Shoemaker argues that gatekeeping studies should be located within the larger organizational structures of the system in which content is produced, using the hierarchical model she developed with Reese . The latter model attempts to trace the various intra- and extra-organizational influences on mass mediated content. Taking the production team as our unit of analysis, then, an extra-organizational influence that should be considered is the network to which the program is sold . Relevant intra-organizational influences include the production studio, executive producers, (program) producers and individual writers . Each of these units has input into the content that writers produce. Furthermore, each has its own set of routinized practices, which "may act as surrogates or shortcuts for individual people's decisions ." Studies of Television's Religious Content Previous studies of religious themes on television have generally taken one of three forms: exploration of the types of content present across genres or over time , case studies of specific programs , or qualitative analyses of audience responses to religious content . While the paucity of research into religious content on television prevents much generalization, several findings have been replicated across studies. First, religion is practically absent from much of television. Head found that "content referring to religion" appeared in only 10% of his sample of 64 TV dramas in 1952 . Nearly 40 years later, the picture hadn't changed much: less than 6% of 1462 speaking characters appearing on one week of prime-time entertainment television in 1990 could be linked to a specific religious group . Similar data have been generated with respect to television advertising. A 1996 study of TV commercials found religious symbolism present in only 2% of the spots, several of which were actually repeats of the same advertisement . The one genre where religious themes are abundant is music videos, where religious symbolism was found in 38% of rock clips in 1992 and in 49% of rock and 64% of country music videos in 1995 . On the other hand, the context of the music videos' treatment of religion should be noted (see below). On the whole, then, religious characters, institutions and symbols have been found to be a rarity in commercial television programming. Furthermore, previous research indicates that when religion does appear, it is often presented as irrelevant to the plot with negative or ambiguous characters . In addition, religion tend to be church-centered, Catholic, and treated in stereotypical ways (e.g., clergy wearing traditional vestments, use of superficial clichés, religious rituals, etc.) . Religious symbolism in music videos has been found in combination with sexual imagery 18% of the time overall, and as much as 28% in the rock format . A third finding of previous studies is the regular and irreverent use of "religious" language. As much as 50% of expressions referring to God, heaven, and hell are used outside a religious context . Instead, such expressions are usually used to express shock, surprise or disbelief on the part of a character, or in the midst of "crisis" situations . On the other hand, some scholars have suggested that prime time's treatment of religion is mainly positive , but these assertions have been made in program-specific studies. Whether these cases are anomalies is unclear, given the limited amount of research overall. Missing from the above analyses is the role content producers play in developing what appears onscreen. Many cultural critics and religious leaders have gone so far as to accuse Hollywood producers of injecting their own apathy or hostility toward religion into their programs . This is an easy criticism, but empirical research has yet to address the issue directly. Research Questions and Hypotheses Having reviewed the extant research on the portrayals of religion on commercial television and the relevance of gatekeeping theory to the study of entertainment routines, the following research questions and hypotheses are advanced: RQ1: How does the percentage of religious characters on prime-time commercial television compare to real-world data? RQ2: How do prime-time religious characters' denominational affiliations compare to real-world data? These questions are based on previous findings that religious content and characters are virtually absent from commercial television programming . They are also informed by the findings of Rothman and his colleagues on the mismatch in religious backgrounds and beliefs between Hollywood elites and their audiences . Specifically, they will test whether this mismatch leads to content that is unrepresentative of the actual viewing public. H1: Because the PAX network was created with the stated goal of increasing the amount of religious content on television, it will feature more religious characters than do competing networks. H2: Programs produced by Paxson Communications will feature more religious characters than do competing studios' product. These hypotheses are based on gatekeeping theory, especially as presented by Virts and Keeler , on the intra-organizational influences on content . They will also test whether Paxson's claim of increasing the amount of "spirituality" on prime-time entertainment television has actually come to pass . H3: Religious characters will use "religious language" more reverently than do other characters. This hypothesis is based on previous research which indicates that most television characters that use religious language do so casually . These studies imply that religious characters tend to use religious language mainly in the context of performing a religious ritual, such as attending services or prayer. Furthermore, this hypothesis will test critics' claims that content producers' assumed apathy and/or hostility toward religion should lead to an increasingly casual use of religious language on television; especially by the supposedly religious . H4: Religious characters will be less central to programs' storylines than are other characters. This hypothesis is based on previous research which indicates that religious characters are generally portrayed as irrelevant to a program's plot . It is designed to test whether this relationship has changed with the addition of 3 broadcast networks and to determine the relative influence of PAX on the centrality of religious characters . Measurement. For all hypotheses and research questions, the unit of analysis was a speaking character. The number of religious characters per episode was measured at a ratio level. A religious character was defined as one clearly identified as such by storyline, clothing or work environment as religious (e.g., priest) or who identified themselves (or are identified by others) as such in the dialog. Other cues included religious activity (prayer, crossing oneself, Bible reading, etc.). For H3, religious language was defined as expressions referring to God, heaven, hell or religion in general; and was measured at a ratio level. Whenever the above expressions were used outside a religious context or in a casual manner, they were coded as "casual use ." If these expressions were used as a statement of genuine faith, they were coded as "religious" in context. For H4, religiosity was measured on a ratio scale, from "Not religious" to "devout." Characters were coded "not religious" only if they were identified as such by a program's dialog. A character was judged to be "nominally religious" if he/she made some statement of belief (or was identified as a believer by another character or by wearing religious jewelry or clothing), but engaged in no religious behavior. Those characters judged to be "devout" were identified in the same manner, but had to also engage in some kind of religious behavior. A character's centrality to the episode plot was determined by counting the number of program segments in which he/she appeared and dividing by the total number of segments. Those characters appearing in 50%-100% of the program segments were coded as "main" characters, those in 25%-49% were coded as "secondary" characters, and those in 1-24% of segments were coded as "background" characters. All other variables were measured at a nominal level. These included network, production studio, religious denomination and program type. Sample. The population of content for this study was all fictional television programs airing on ABC, CBS, FOX, NBC, PAX, UPN and the WB during their respective prime time programming periods. These networks were selected because they are available for free and over-the-air to a national audience. Therefore, they have a larger audience share than do even the largest cable networks. "Prime time" on ABC, CBS, NBC and PAX runs from 7-11 p.m. Eastern on Sundays and 8-11 p.m. Eastern on weekdays and Saturdays. FOX programs 7-10 p.m. Sundays and 8-10 p.m. the remainder of the week; UPN, 8-10 weekdays only; and the WB, 5-10 p.m. Sundays and 8-10 p.m. weekdays. PBS was eliminated from analysis because, as a programming service (not a network), it only supplies only one content stream (of many) that individual stations may air, making national comparisons of programming impractical. Sports, news magazines and other "reality" programs, movies and non-fiction specials were not included because their coding scheme would necessarily be different and therefore, not comparable to the one used for fictional shows. Also, "Diagnosis, Murder," which aired weeknights at 10 p.m., Mondays at 8 p.m. and Thursdays at 9 p.m. on PAX, was excluded from analysis. This exception was made because the program is not a PAX original production; rather, repeats from past CBS seasons. Therefore, if included, H1 and H2 could not be fairly tested, as PAX's original programming would be obscured by content originally produced for another network. Programs were recorded over a one-week period, from September 23-29, 2002. This period was chosen because September 23 was the official start of the 2002-2003 programming season and most of the content airing was original. It was also chosen to avoid a "sweeps" rating period, when network content tends to be atypical. This recording process yielded 78 programs with 62.5 total hours of content eligible for inclusion in the study. Due to the unequal number of programming hours across networks, a purposive sample was taken by network to make each one's content more representative. Nielsen ratings data for each program aired during the sample week was used to select the top 3 comedies and the top 3 dramas for each of the seven networks . Since PAX does not air any situation comedies, the final sample consisted of 18 comedies and 21 dramas. Each was rank ordered from first to third place by network and assigned to one of three independent coders. Each coder received one comedy and one drama per network, to preclude systematic bias against any particular network. The programs were also assigned to coders on a rotating basis from first- to third-ranked by network, to preclude systematic bias by program popularity. Data collection. Three independent coders received two training sessions, after which they coded 10% percent of the programs (2 comedies and 2 dramas) selected for analysis. A Scott's pi was calculated, demonstrating intercoder agreement ranging from .80-1.00. Therefore, the remainder of the programming was randomly divided among the coders for viewing. Findings This analysis of 39 episodes of prime-time commercial television identified a total of 548 speaking characters. How these characters compare to their real-world counterparts is the focus of the first two research questions. RQ1: How does the percentage of religious characters on prime-time commercial television compare to real-world data? Only 32 characters in the sample (5.8%) could be positively identified as religious, replicating Skill & Robinson's finding of 5.6%. The few religious characters were divided nearly evenly between the "nominally" religious (3.3%) and the "devout" (2.5%). Census data on reported attendance at religious services was used as a proxy for public religiosity. This makes sense, because this measure (like the television categorization scheme) is based on behavioral evidence of faith. Applying the categories developed for the prime time characters, respondents who attended services "weekly" were labeled "devout;" those who attended "less than weekly" were termed "nominally religious;" and those who reported "rarely to never" attending services were considered "non-religious." Table 1 compares the religiosity of prime time characters to the general public – revealing a striking difference (p < .05). Over two-thirds of the populace is "nominally religious" (24.0%) or "devout" (44.0%), a number nearly 12 times that evidence on television. Furthermore, even this measure is conservative, since survey respondents who attended services occasionally were considered "non-religious." Table 1: TV Characters' Religiosity vs. U.S. Census Data: Religiosity Television Characters N=548 U.S. Population N=281,421,908 Not Religious/Can't Tell* 94.2 32.0 Nominally Religious 3.3 24.0 Devout 2.5 44.0 Total: 100.0 100.0 p < .05 *Includes "Can't Tell" data for TV characters and "No Answer" data for Census figures. Source: United States Census Bureau (2001) RQ2: How do prime-time religious characters' denominational affiliations compare to real-world data? Just 29 characters in the television sample could be identified with any particular religious denomination, and two-thirds of those (19) could only be defined as "Protestant." Table 2, below, compares these statistics to real-world data. Only 3.5% of prime-time characters were identified as "Protestant," compared to 56% of the general public (p < .05). Interestingly, not a single character from the present sample could be identified as Catholic, a finding at odds with earlier studies . Table 2: TV Characters' Religious Denomination vs. U.S. Census Data: Religiosity Television Characters N=548 U.S. Population N=281,421,908 Not Religious/Can't Tell* 94.7 8.0 Protestant (all) 3.5 56.0 All Others 1.8 36.0 Total: 100.0 100.0 p < .05 *Includes "Can't Tell" data for TV characters and "No Answer" data for Census figures. Source: United States Census Bureau Hypothesis 1 tested how religious characters were distributed by network. H1: Because the PAX network was created with the stated goal of increasing the amount of religious content on television, it will feature more religious characters than do competing networks. Even with the small number of religious characters overall, the data presented in Tables 3 and 4, below, demonstrate convincingly that PAX has increased the presence of religious characters through its programs. Network data in Table 3 indicate that over a third of all religious characters in the sample appeared on PAX, even though the network accounts for only 8.4% of all characters in prime time. The WB also provided significantly more than its respective share of religious characters (21.9% religious vs. 13.5% of all characters), while UPN had no religious characters at all. The remaining four networks' percentage of religious characters is significantly less than their percentage of characters overall (p <.001). Therefore, Hypothesis 1 is supported by the data. Table 3: Type of Characters by Network: Network % Religious Characters N=32 % All Characters N=548 PAX 34.4 8.4 WB 21.9 13.5 NBC 15.6 21.5 CBS 12.5 16.2 ABC 9.4 15.5 FOX 6.3 12.0 UPN -- 12.8 Total: 100.0 100.0 ?2 = 35.93, df = 6, p < .001 As Table 4 indicates, 24 of the 39 programs analyzed (61.5%) featured no religious characters whatsoever. However, the three dramas selected for analysis from the PAX network (PAX airs no comedy programs) rank first, third and fifth overall in the percentage of religious characters within them (p <.001). Table 4: Type of Characters by Program: Program % Religious Characters N=32 % All Characters N=548 Body & Soul (PAX) 15.6 2.6 Frasier (NBC) 12.5 1.8 Doc (PAX) 12.5 3.3 7th Heaven (WB) 9.4 2.6 Reba (WB) 9.4 1.8 Everybody Loves Ray (CBS) 6.3 1.5 Just Cause (PAX) 6.3 2.6 My Wife & Kids (ABC) 6.3 2.9 CSI (CBS) 3.1 4.9 Firefly (FOX) 3.1 2.7 Gilmore Girls (WB) 3.1 2.9 JAG (CBS) 3.1 4.6 John Doe (FOX) 3.1 3.5 Law & Order: CI (NBC) 3.1 3.8 The Practice (ABC) 3.1 2.9 All Others -- 55.6 Total: 100.0 100.0 ?2 = 97.14, df = 38, p < .001 Hypothesis 2 tested how religious characters were distributed by production studio. H2: Programs produced by Paxson Communications will feature more religious characters than do competing studios' product. Table 5, below, is a comparison of production studios' output. Programs produced by Viacom (Paramount, Spelling, CBS Productions, and others) contained the highest percentage of religious characters (28.1%), followed by Paxson Communications (21.9%) and Fox (Regency, Twentieth Television, and others) (18.8%). However, it should be noted that Viacom programs contain 31.2% of all characters, 6 times as many as Paxson's and nearly twice as many as Fox's. Therefore, Paxson Communications does produce a greater percentage of religious characters overall than does any other studio, supporting Hypothesis 2. The remaining data further demonstrate that the number of religious characters vary significantly by production studio (p <.001). Table 5: Type of Characters by Studio: Studio % Religious Characters N=32 % All Characters N=548 Viacom 28.1 31.2 PAX 21.9 5.1 Fox 18.8 17.9 Pebblehut 12.5 3.3 AOL/Time-Warner 9.4 24.5 Disney 6.3 8.8 Universal 3.1 3.8 All Others -- 5.5 Total: 100.0 100.0 ?2 = 32.86, df = 9, p < .001 Hypothesis 3 tested whether the use of "religious language" varied by the religiosity of the character using it. H3: Religious characters will use "religious language" more reverently than do other characters. Table 6, below, presents data collected on the language habits of speaking characters. This analysis indicates that 80.8% of all characters don't use any religious language at all. Furthermore, 68.8% of religious characters used religious language to express genuine belief (p < .001). On the other hand, there was only a slight observed difference in the casual use of religious language overall (13.7%) and its use by religious characters (9.4%). Therefore, Hypotheses 3 is only partially supported by the data. Table 6: Type of Characters by Religious Language Use: Use of Religious Language % Religious Characters N=32 % All Characters N=548 Religious 68.8 5.5 None 21.9 80.8 Casual/Non-Religious 9.4 13.7 Total: 100.0 100.0 ?2 = 263.12, df = 2, p < .001 Hypothesis 4 tested the relative importance of religious characters in prime time entertainment programs, as evidenced by their centrality to the plot. H4: Religious characters will be less central to programs' storylines than are other characters. Analysis of individual characters' centrality to program plots indicates that, contrary to previous research, religious characters tended to have major roles. As Table 7, below, demonstrates, nearly half (48.4%) of all characters were main characters, but three-quarters (75.0%) of religious characters were main characters (p < .01). Furthermore, only 6.3% of religious characters were background characters, compared to 21.9% overall. Therefore, Hypothesis 4 was not supported by the data. Table 7: Type of Characters by Plot Centrality: Character Type % Religious Characters N=32 % All Characters N=548 Main 75.0 48.4 Secondary 18.8 29.7 Background 6.3 21.9 Total: 100.0 100.0 ?2 = 10.24, df = 2, p < .01 Discussion The general results of this study suggest that religious characters are not very important considerations in the production of prime-time television programming, replicating earlier findings . Further, the data presented here support gatekeeping theory , inasmuch as both the studio producing a program and the network that airs it were both significantly correlated with the number of religious characters appearing in that program. Data also indicate that PAX is meeting its goal of increasing the amount of spirituality on television , both in the programs it produces and in those the network airs. Finally, some data do not square with earlier findings: most religious characters were Protestant rather than Catholic, and were generally main characters versus background players. Perhaps this is due to the profound influence of PAX programming on the overall count of religious characters, or perhaps it signals a trend toward featuring religious characters more prominently . A limitation of the study is the low number of religious characters identified. Often, there were too few characters to generate reliable statistical analyses, requiring that some data be combined (and thus, obscured). A follow-up study – already in progress – should include all the programs currently airing in prime-time, not just the top 3 comedies and dramas by network. This would permit more rigorous statistical testing and improved generalizability of results. Future studies should also examine the role of individual producers and writers of prime time fiction, to determine how their role both shapes and is shaped by the structure and operation of the studio and network system of television production . Further research into this under-studied area should help clarify many of the issues raised by this project. TV and Religion 2 References