Zhou, Yanyan, Bryant Paul, Vincent Malic, and Jingyuan Yu.
Quality & Quantity (2019): 1-19.
Abstract
Free online sexually explicit materials have become the major way for pornography viewers to consume pornographic materials. Most previous content analytic studies have focused on aggression and degradation behaviors in sexually explicit materials. Fewer studies have focused on the prevalence of depictions of individual sexual behaviors, overlooking that pornographic materials not only show viewers individual sexual behaviors but also provide sexual scripts, which contain a series of co-occurring sexual behaviors. Using the network analysis method, the current study examined the co-occurrence patterns of a large number of sexual behaviors depicted in free online sexually explicit materials. The study has revealed the primary sexual script depicted in popular online sexually explicit materials and predicted the potential effects of such a script.
References
Alexa.: The top 500 sites on the web. (2019) Alexa Web site: https://www.alexa.com/topsites. Accessed 27 Mar 2019
Anthony, S.: Just how big are porn sites? ExtremeTech. (2012) Retrieved March 27, 2019 from http://www.extremetech.com/computing/123929-just-how-big-are-porn-sites
Bauserman, R.: Sexual aggression and pornography: a review of correlational research. Basic Appl. Soc. Psychol. 18(4), 405–427 (1996). https://doi.org/10.1207/s15324834basp1804_4 CrossRefGoogle Scholar
Borgatti, S.P., Everett, M.G.: Models of core/periphery structures. Soc. Netw. 21(4), 375–395 (2000). https://doi.org/10.1016/s0378-8733(99)00019-2 CrossRefGoogle Scholar
Bridges, A.J., Wosnitzer, R., Scharrer, E., Sun, C., Liberman, R.: Aggression and sexual behavior in best-selling pornography videos: a content analysis update. Violence Against Women 16(10), 1065–1085 (2010). https://doi.org/10.1177/1077801210382866 CrossRefGoogle Scholar
Brosius, H.B., Weaver III, J.B., Staab, J.F.: Exploring the social and sexual “reality” of contemporary pornography. J. Sex Res. 30(2), 161–170 (1993). https://doi.org/10.1080/00224499309551697 CrossRefGoogle Scholar
Brown, J.D., L’Engle, K.L.: X-rated sexual attitudes and behaviors associated aith US Eerly adolescents’ exposure to sexually explicit media. Commun. Res. 36(1), 129–151 (2009). https://doi.org/10.1177/0093650208326465 CrossRefGoogle Scholar
Bryant, J., Brown, D.: Uses of pornography. In: Bryant, Z.J. (ed.) Pornography: Research Advances and Policy Considerations, pp. 25–55. Lawrence Erlbaum, Hillsdale (1989)Google Scholar
Collins, A.M., Loftus, E.F.: A spreading-activation theory of semantic processing. Psychol. Rev. 82(6), 407 (1975)CrossRefGoogle Scholar
Cooper, A.: Sexuality and the internet: surfing into the new millennium. Cyber Psychol. Behav. 1(2), 187–193 (1998). https://doi.org/10.1037/e705222011-004 CrossRefGoogle Scholar
Demare, D., Briere, J., Lips, H.M.: Violent pornography and self reported likelihood of sexual aggression. J. Res. Pers. 22(2), 140–153 (1988). https://doi.org/10.1016/0092-6566(88)90011-6 CrossRefGoogle Scholar
Doran, K.: Industry size, measurement, and social costs. In: Eberstadt, M., Layden, M.A. (eds.) The Social Cost of Pornography: A Statement of Findings and Recommendations. Witherspoon Institute, Priceton (2010)Google Scholar
Frith, H., Kitzinger, C.: Reformulating sexual script theory: developing a discursive psychology of sexual negotiation. Theory Psychol. 11(2), 209–232 (2001). https://doi.org/10.1177/0959354301112004 CrossRefGoogle Scholar
Garcia, L.T.: Exposure to pornography and attitudes about women and rape: a correlational study. J. Sex Res. 21, 378–385 (1986). https://doi.org/10.1080/00224498609551316 CrossRefGoogle Scholar
Gorman, S., Monk-Turner, E., Fish, J.N.: Free adult Internet web sites: how prevalent are degrading acts? Gend. Issues 27(3–4), 131–145 (2010). https://doi.org/10.1007/s12147-010-9095-7 CrossRefGoogle Scholar
Hald, G.M.: Gender differences in pornography consumption among young heterosexual Danish adults. Arch. Sex. Behav. 35(5), 577–585 (2006). https://doi.org/10.1007/s10508-006-9064-0 CrossRefGoogle Scholar
Huang, L., Wang, G., Wang, Y., Blanzieri, E., Su, C.: Link clustering with extended link similarity and EQ evaluation division. PLoS ONE 8(6), e66005 (2013). https://doi.org/10.1371/journal.pone.0066005 CrossRefGoogle Scholar
Huesmann, L.R.: An information processing model for the development of aggression. Aggress. Behav. 14(1), 13–24 (1988). https://doi.org/10.1002/1098-2337(1988)14:1%3c13:aid-ab2480140104%3e3.0.co;2-j CrossRefGoogle Scholar
Huesmann, L.R., Miller, L.S.: Long-term effects of repeated exposure to media violence in childhood. Aggress. Behav. 1, 153–186 (1994). https://doi.org/10.1007/978-1-4757-9116-7_7 CrossRefGoogle Scholar
Klaassen, M.J., Peter, J.: Gender (in) equality in internet pornography: a content analysis of popular pornographic Internet videos. J. Sex Res. 52(7), 721–735 (2015). https://doi.org/10.1080/00224499.2014.976781 CrossRefGoogle Scholar
Krippendorff, K.: Content Analysis: An Introduction to Its Methodology. Sage Publiations, Los Angeles (2013)Google Scholar
Lo, V.H., Wei, R.: Third person effect, gender, and pornography on the internet. J. Broadcast. Electron. Media 46, 13–33 (2002). https://doi.org/10.1207/s15506878jobem4601_2 CrossRefGoogle Scholar
Lo, V.H., Wei, R.: Exposure to internet pornography and Taiwanese adolescents’ sexual attitudes and behavior. J. Broadcast. Electron. Media 49(2), 221–237 (2005). https://doi.org/10.1207/s15506878jobem4902_5 CrossRefGoogle Scholar
Malik, C., Wojdynski, B.W.: Boys earn, girls buy: depictions of materialism on US children’s branded-entertainment websites. J. Child. Media 8(4), 404–422 (2014). https://doi.org/10.1080/17482798.2013.852986 CrossRefGoogle Scholar
Mckee, A.: The objectification of women in mainstream pornographic videos in Australia. J. Sex Res. 42(4), 277–290 (2005). https://doi.org/10.1080/00224490509552283 CrossRefGoogle Scholar
Mooallem, J.: A disciplined business, New York Times (2007). Retrieved March 27, 2019 from http://www.nytimes.com/2007/04/29/magazine/29kink.t.html?pagewanted=all&_r=0
Newman, M.E.: Mathematics of networks. New Palgrave Encycl. Econ. (2008). https://doi.org/10.1057/978-1-349-95121-5_2565-1 Google Scholar
Olivier, S.: ” “Social network analysis.” Knowledge solutions. Springer, Singapore, pp. 39–43 (2017)Google Scholar
Opsahl, T.: Structure and evolution of weighted networks (Doctoral dissertation, Queen Mary, University of London) (2009). Retrieved March 27, 2019 from https://toreopsahl.files.wordpress.com/2009/05/thesis_print-version_withoutappc.pdf
Opsahl, T., Agneessens, F., Skvoretz, J.: Node centrality in weighted networks: generalizing degree and shortest paths. Soc. Netw. 32(3), 245–251 (2010). https://doi.org/10.1016/j.socnet.2010.03.006 CrossRefGoogle Scholar
Paranyushkin, D.: Visualization of text’s polysingularity using network analysis. Prototype Lett. 2(3), 256–278. Retrieved from: https://noduslabs.com/research/visualization-text-polysingularity-network-analysis/ (2011)
Potter, W.J., Levine-Donnerstein, D.: Rethinking validity and reliability in content analysis. J. Appl. Commun. Res. 27(3), 258–284 (1999). https://doi.org/10.1080/00909889909365539 CrossRefGoogle Scholar
Ropelato, J.: Internet pornography statistics (2006). Retrieved March 27, 2019 from http://www.ministryoftruth.me.uk/wp-content/uploads/2014/03/IFR2013.pdf
Similarweb.Xvideos.com Traffic Statistics. (2019). https://www.similarweb.com/website/xvideos.com. Accessed 27 Mar 2019
Štulhofer, A., Buško, V., Landripet, I.: Pornography, sexual socialization, and satisfaction among young men. Arch. Sex. Behav. 39(1), 168–178 (2010). https://doi.org/10.1007/s10508-008-9387-0 CrossRefGoogle Scholar
Sun, C., Bridges, A., Wosnitzer, R., Scharrer, E., Liberman, R.: A comparison of male and female directors in popular pornography: what happens when women are at the helm? Psychol. Women Q. 32(3), 312–325 (2008). https://doi.org/10.1111/j.1471-6402.2008.00439.x CrossRefGoogle Scholar
Vannier, S.A., Currie, A.B., O’Sullivan, L.F.: Schoolgirls and soccer moms: a content analysis of free “teen” and “MILF” online pornography. J. Sex Res. 51(3), 253–264 (2014). https://doi.org/10.1080/00224499.2013.829795 CrossRefGoogle Scholar
Vladeanu, M., Lewis, M., Ellis, H.: Associative priming in faces: semantic relatedness or simple co-occurrence? Memory Cognit. 34(5), 1091–1101 (2006). https://doi.org/10.3758/bf03193255 CrossRefGoogle Scholar
Wilson, B.J., Kunkel, D., Linz, D., Potter, J., Donnerstein, E., Smith, S.L., et al.: Violence in television programming overall: University of California, Santa Barbara study. In: Seawall, M. (ed.) National television violence study, vol. 2, pp. 3–204. Sage Publications, Thousand Oaks (1998)Google Scholar
Wright, P.J.: Mass media effects on youth sexual behavior assessing the claim for causality. Ann. Int. Commun. Assoc. 35(1), 343–385 (2011). https://doi.org/10.1080/23808985.2011.11679121 CrossRefGoogle Scholar
Wright, P.J.: US males and pornography, 1973–2010: consumption, predictors, correlates. J. Sex Res. 50(1), 60–71 (2013). https://doi.org/10.1080/00224499.2011.628132 CrossRefGoogle Scholar
Yang, N., Linz, D.: Movie ratings and the content of adult videos: the sex violence ratio. J. Commun. 40, 28–42 (1990). https://doi.org/10.1111/j.1460-2466.1990.tb02260.x CrossRefGoogle Scholar
Zhou, Y., Paul, B.: Lotus blossom or dragon lady: a content analysis of “Asian women” online pornography. Sex. Cult. 20(4), 1083–1100 (2016). https://doi.org/10.1007/s12119-016-9375-9 CrossRefGoogle Scholar
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