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Record W4307261652 · doi:10.34778/5q

Safer Sex Practices (Portrayals of Sexuality in Pornography)

2022· article· en· W4307261652 on OpenAlexaboutno aff
Nicola Döring, D.J. Miller

Bibliographic record

VenueDOCA - Database of Variables for Content Analysis · 2022
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsHuman sexualitySAFERPornographySafer sexGender studiesSociologyPsychologySocial psychologyComputer securityComputer scienceMedicinePsychoanalysisVirology

Abstract

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Pornography is a fictional media genre that depicts sexual fantasies and explicitly presents naked bodies and sexual activities for the purpose of sexual arousal (Williams, 1989; McKee et al., 2020). Regarding media ethics and media effects, pornography has traditionally been viewed as highly problematic. Pornographic material has been accused of portraying sexuality in unhealthy, morally questionable and often sexist ways, thereby harming performers, audiences, and society at large. In the age of the Internet, pornography has become more diverse, accessible, and widespread than ever (Döring, 2009; Miller et al., 2020). Consequently, the depiction of sexuality in pornography is the focus of a growing number of content analyses of both mass media (e.g., erotic and pornographic novels and movies) and social media (e.g., erotic and pornographic stories, photos and videos shared via online platforms). Typically, pornography’s portrayals of sexuality are examined by measuring the prevalence and frequency of sexual practices or relational dynamics and related gender roles via quantitative content analysis (for research reviews see Carrotte et al., 2020; Miller & McBain, 2022). This entry focuses on the representation of safer sex practices as one of eight important dimensions of the portrayals of sexuality in pornography. Field of application/theoretical foundation: In the field of pornographic media content research, different theories are used, mainly 1) general media effects theories, 2) sexual media effects theories, 3) gender role, feminist and queer theories, 4) sexual fantasy and desire theories, and different 5) mold theories versus mirror theories. The DOCA entry “Conceptual Overview (Portrayals of Sexuality in Pornography)” introduces all these theories and explains their application to pornography. The respective theories are applicable to the analysis of the depiction of safer sex practices as one dimension of the portrayals of sexuality in pornography. References/combination with other methods of data collection: Manual quantitative content analyses of pornographic material can be combined with qualitative (e.g., Keft-Kennedy, 2008) as well as computational (e.g., Seehuus et al., 2019) content analyses. Furthermore, content analyses can be complemented with qualitative interviews and quantitative surveys to investigate perceptions and evaluations of the portrayals of sexuality in pornography among pornography’s creators and performers (e.g., West, 2019) and audiences (e.g., Cowan & Dunn, 1994; Hardy et al., 2022; Paasoonen, 2021; Shor, 2022). Additionally, experimental studies are helpful to measure directly how different dimensions of pornographic portrayals of sexuality are perceived and evaluated by recipients, and if and how these portrayals can affect audiences’ sexuality-related thoughts, feelings, and behaviors (e.g., Kohut & Fisher, 2013; Miller et al., 2019). Example studies for manual quantitative content analyses: A common research hypothesis states that pornography displays sexuality – and even high-risk sex acts, such as penetrative sex – predominately without condoms. To test such hypotheses and code pornographic material accordingly, it is necessary to clarify the concept of “safer sex” and use valid and reliable measures for different types of safer sex practices. It is important to note that safer sex practices could be assessed at the sexual encounter level (e.g., Is a condom used during the sexual encounter?) or at the level of specific sexual acts (e.g., Is a condom used during anal sex?). It is also possible that a scene depicts a condom being used, but only for the purpose of it being removed (e.g., to highlight the unrestricted nature of the sex being shown or as part of an impregnation roleplay). Given that such scenarios would depict condom use while simultaneously presenting sex with a condom as being less pleasurable, researchers may need to consider these contextual factors when developing their coding schemes. In gay male pornography “barebacking” (deliberately forgoing condom use during anal sex) is its own sub-genre (Tollini, 2019), thus there is a possibility for indirect coding based on meta-information about whether material sits within this sub-genre. Coding Material Measure Operationalization (excerpt) Reliability Source Safer Sex Practices: Condom use during penetrative sex with a penis provides a high degree of protection against pregnancies and several types of STIs (Sexually Transmitted Infections) including HIV (Human Immunodeficiency Virus). While condom use is recommended for private sexual encounters (and demanded by some legislatures for porn performers), condoms can increase pain, risk of injury and risk of STI/HIV transmission among performers (particularly those engaging in receptive penetrative practices) because professional performances are typically much longer and more demanding than the average private sexual encounters. For this reason, some porn performers have challenged the idea that legal obligations for condom use on set effectively protect them (Shachner, 2015). Alternative protection measures are often preferred by professional performers (e.g., long acting contraception methods, regular STI/HIV testing, HIV-Pre-Exposure Prophylaxis). The availability of HIV-Pre-Exposure Prophylaxis has resulted in a trend toward condomless anal sex (“barebacking”) in gay male pornography (Tollini, 2019). Apart from issues of performer health protection, safer sex practices in pornography are also regarded as relevant in terms of modelling behaviors for audiences. N=50 scenes from 50 best-selling heterosexual adult films (1 scene per film) and N=50 scenes from 50 bestselling male homosexual films (1 scene per film) Condom use - Condom use during penile-oral contact (type of condom use) Penile-oral contact is shown and a condom is used at least some of the time during this act. Binary coding (1: yes; 2: no). Cohen’s Kappa across all four variables: .78 Grudzen et al. (2009) - Condom use during penile-vaginal contact (type of condom use) Penile-vaginal contact is shown and a condom is used at least some of the time during this act. Binary coding (1: yes; 2: no). - Condom use during penile-anal contact (type of condom use) Penile-anal contact is shown and a condom is used at least some of the time during this act. Binary coding (1: yes; 2: no). - Condom use during anal-to-oral penile insertion Anal-to-oral penile insertion (penile-oral insertion immediately following penile-anal insertion) is shown and a condom is used at least some of the time during this act. Binary coding (1: yes; 2: no). Apart from condom use, further safer sex practices can be measured (e.g., visible use of lube to prevent pain or injuries during penetrative sex; observable communication between characters about sexual health status, STI testing, or use of contraception). References Carrotte, E. R., Davis, A. C., & Lim, M. S. (2020). Sexual behaviors and violence in pornography: Systematic review and narrative synthesis of video content analyses. Journal of Medical Internet Research, 22(5), Article e16702. https://doi.org/10.2196/16702 Cowan, G., & Dunn, K. F. (1994). What themes in pornography lead to perceptions of the degradation of women? Journal of Sex Research, 31(1), 11–21. https://doi.org/10.1080/00224499409551726 Döring, N. (2009). The Internet’s impact on sexuality: A critical review of 15 years of research. Computers in Human Behavior, 25(5), 1089–1101. https://doi.org/10.1016/j.chb.2009.04.003 Grudzen, C. R., Elliott, M. N., Kerndt, P. R., Schuster, M. A., Brook, R. H., & Gelberg, L. (2009). Condom use and high-risk sexual acts in adult films: A comparison of heterosexual and homosexual films. American Journal of Public Health, 99(S1), S152-156. https://doi.org/10.2105/AJPH.2007.127035 Hardy, J., Kukkonen, T., & Milhausen, R. (2022). Examining sexually explicit material use in adults over the age of 65 years. The Canadian Journal of Human Sexuality, 31(1), 117–129. https://doi.org/10.3138/cjhs.2021-0047 Keft-Kennedy, V. (2008). Fantasising masculinity in Buffyverse slash fiction: Sexuality, violence, and the vampire. Nordic Journal of English Studies, 7(1), 49–80. Kohut, T., & Fisher, W. A. (2013). The impact of brief exposure to sexually explicit video clips on partnered female clitoral self-stimulation, orgasm and sexual satisfaction. The Canadian Journal of Human Sexuality, 22(1), 40–50. https://doi.org/10.3138/cjhs.935 McKee, A., Byron, P., Litsou, K., & Ingham, R. (2020). An interdisciplinary definition of pornography: Results from a global Delphi panel. Archives of Sexual Behavior, 49(3), 1085–1091. https://doi.org/10.1007/s10508-019-01554-4 Miller, D. J., & McBain, K. A. (2022). The content of contemporary, mainstream pornography: A literature review of content analytic studies. American Journal of Sexuality Education, 17(2), 219–256. https://doi.org/10.1080/15546128.2021.2019648 Miller, D. J., McBain, K. A., & Raggatt, P. T. F. (2019). An experimental investigation into pornography’s effect on men’s perceptions of the likelihood of women engaging in porn-like sex. Psychology of Popular Media Culture, 8(4), 365–375. https://doi.org/10.1037/ppm0000202 Miller, D. J., Raggatt, P. T. F., & McBain, K. (2020). A literature review of studies into the prevalence and frequency of men’s pornography use. American Journal of Sexuality Education, 15(4), 502–529. https://doi.org/10.1080/15546128.2020.1831676 Paasonen, S. (2021). “We watch porn for the fucking, not for romantic tiptoeing”: Extremity, fantasy and women’s porn use. Porn Studies, 1–14. https://doi.org/10.1080/23268743.2021.1956366 Shachner, J. (2015). Unwrapped: How the Los Angeles County Safer Sex in the Adult Film Industry Act's condom mandate hurts performers &

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.473
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.129
GPT teacher head0.389
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes1
Has abstractyes

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Same venueDOCA - Database of Variables for Content AnalysisSame topicSexuality, Behavior, and TechnologyFrench-language works237,207