The British Journal of Criminology, 2021, 61, 1243–1260
DOI: 10.1093/bjc/azab035
Advance access publication 4 April 2021
Article
Sexual violence as a sexual script in
mainstream online pornography
*Fiona Vera-Gray, Durham University, Sociology Department, 32 Old Elvet, Durham DH1 3HN, UK;
Fiona.vera-gray@durham.ac.uk. Clare McGlynn, Durham University, Law School, Palatnie Centre, Durham
DH1 3LE, UK. Ibad Kureshi, Durham University, Institute for Advanced Research Computing, South
Road, Durham DH1 3LE, UK. Kate Butterby, Durham University, Sociology Department, 32 Old Elvet,
Durham DH1 3HN, UK.
This article examines the ways in which mainstream pornography positions sexual violence as a
normative sexual script by analysing the video titles found on the landing pages of the three most
popular pornography websites in the United Kingdom. The study draws on the largest research sample of online pornographic content to date and is unique in its focus on the content immediately
advertised to a new user. We found that one in eight titles shown to first-time users on the first page
of mainstream porn sites describe sexual activity that constitutes sexual violence. Our findings raise
serious questions about the extent of criminal material easily and freely available on mainstream
pornography websites and the efficacy of current regulatory mechanisms.
Key Words: pornography, sexual violence, sexual scripts, image-based sexual abuse, voyeurism, incest
IN TRODUCTION
Debates on pornography and its relationship to crime, sexual violence and social harm are
well rehearsed and seemingly irreconcilable. They have tended to focus on questions of causal
relationships (e.g. Strouse et al. 1994; Malamuth et al. 2012; Hald et al. 2013), seldom addressing either the actual practices of consumers (Attwood 2005) or the form and content of
mainstream pornography (Paasonen 2006). Recently, research has begun to engage with questions of whether and how sexual norms are influenced by pornographic content, drawing on
Gagnon and Simon’s (1973) theory of sexual scripts. Studies explicitly using this approach are
emerging, examining the influence of pornography on sexual scripts concerning, e.g., ‘hooking
up’ amongst young adults (Braithwaite et al. 2015); women’s agency and objectification (Sun
et al. 2016; Fritz and Paul 2017); physical aggression (Shor and Seida 2019; 2020) and the representation of Asian women (Zhou and Paul 2016).
This study contributes to the growing body of empirical research using sexual script theory to
examine pornography developing the evidence base specifically in relation to sexual violence, inclusive of coercive and criminal acts that may not involve physical aggression. We do this by ana© The Author(s) 2021. Published by Oxford University Press on behalf of the Centre for Crime and Justice Studies (ISTD).
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.
org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work
is properly cited.
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Fiona Vera-Gray, Clare McGlynn, Ibad Kureshi and
Kate Butterby*
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SE XUAL SCRIPTS AND PORNOGR APHY
Gagnon and Simon’s (1973) theory of sexual scripts originally drew from social learning theory to
challenge the dominance of biological explanations in sexuality studies, foregrounding instead the socially acquired character of sexual life. Later developed to reflect the insights of social constructivism
(Simon and Gagnon 2003), the theory can be broadly interpreted as conceptualizing how individuals develop their understandings of sexuality through resources in their social environment. These
resources include exposure to representations and institutions that, through stigmatizing and criminalizing some sexual behaviours while instructing and encouraging others, set out where the boundaries may lie between appropriate and inappropriate sexual conduct (Wiederman 2015). The understandings of sexuality developed in this way are then used to make sense of their own and others’
sexual behaviour, helping to construct ‘the sexual’ in the social environment itself.
This more reciprocal model of how we are influenced by, and in turn influence, the resources
we encounter in our social environment supports the move by cultural criminologists and feminist media theorists away from the traditional media effects model for understanding the relationship between representations of violence and realities (Boyle 2000; Atkinson and Rodgers
2016). Instead of arguing for a causal relationship between violent and aggressive crime and its
representation, cultural criminologists have outlined a nuanced model where social meanings
flow into and out of the media landscape, able to ‘reverberate, and bend back on themselves’
(Ferrell et al. 2015: 154). As with sexual script theory, this model challenges belief in a linear
process of information being taken in by the individual and then acted out in the social world.
However, it also challenges notions of pure fantasy divorced from any real world impact; rejecting a casual relationship is not the same as rejecting any relationship. Instead, cultural criminologists encourage the consideration of media representations of violence in terms of their potential to augment, attune, and/or alter our understandings and experience of the social world
(Hayward 2012; Atkinson and Rodgers 2016). This understanding allows for the role of agency
in how media is taken up by the individual at the same time as recognizing the ways in which it
forms part of the ‘cultural scaffolding’ (Gavey 2004) through which individuals’ expressions of
agency themselves are realized and made meaningful.
Drawing sexual script theory and insights from cultural criminology together in this way and
applying them to questions about sexual violence in pornography brings forward an understanding of pornography’s social function (Vera-Gray 2020). In contrast to an analysis interested in how
individuals take in messages from pornography, and/or act them out, we are provided a way of
talking about how sexuality and what counts as ‘sexual’ in our social environment mutually shapes
and is shaped by pornography. Despite this, research has yet to embrace such an opportunity.
Existing studies drawing on sexual script theory tend to maintain focus on direct behavioural
effects of the sexual scripts in pornography. Wright (2014), e.g. in one of the first uses of sex-
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lysing the titles appearing on the landing pages of the three most popular online pornography
websites in the United Kingdom across a 6-month period during 2017–18. Our innovative
methodology allowed us to collect a total data set of over 150,000 titles, making this the largest
study of online pornographic content to date. Our findings reveal that sexual violence in pornography is mainstream, comprising one in eight titles shown on the home pages of the United
Kingdom’s most popular sites. Furthermore, we have found that far from being represented as
aberrant, sexual practices involving coercion, deception, non-consent and criminal activity are
described in mainstream online pornography in ways that position them as permissible. Taken
together, we argue that our study provides clear evidence that sexual violence is a normative
sexual script in mainstream online pornography, with significant implications at a social level for
understandings of the difference between sexual pleasure and sexual harm.
Sexual violence as a sexual script in mainstream online pornography
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SE XUAL VIOLENCE AND PORNOGR APHY
Despite heated public and scholarly debate, there is surprisingly little research on the content
of mainstream online pornography. Studies exploring the associations between pornography
and sexual violence typically focused on behaviours rather than content, with exploration of the
connections between exposure to pornography and attitudes being more common than analyses of how pornographic content represents and/or reproduces sexual violence in itself (e.g.
McKenzie-Mohr and Zanna 1990; Strouse et al. 1994; Hald et al. 2010; 2013; Malamuth et al.
2012).
Where analyses do examine violence and aggression in pornographic content, Johnson and
Bridges (2018) suggest two consistent outcomes. First, when violence is found to be present, it
is almost always perpetrated by men against women (e.g. Mckee et al. 2008; Bridges et al. 2010).
Second, a common set of violent behaviours, such as choking, gagging, slapping and spanking, are hallmarks of so-called ‘gonzo’ pornography—i.e. the type of pornography most often
found on mainstream porn sites (e.g. Salmon and Diamond 2012; Vannier et al. 2014; Klaassen
and Peter 2014). Content analyses of both online and offline materials have also shown that
the focus is almost universally on the depiction of men’s sexual desires, even where women
were initiating sexual activity (Brosius et al. 1993; Bridges et al. 2010; Klaasen and Peter 2014;
DeKeseredy and Corsianos 2016; Zhou and Paul 2016; Fritz and Paul 2017).
Though drawing the research evidence together in this way provides a useful overview, it
can serve to minimize the significant impact of definitional differences. For example, though
analyses of online and offline material have often focused on core elements of violence against
women in heterosexual pornography, such as degradation, dominance and objectification
(Gossett and Byrne 2002; McKee 2005; Cusack and Waranius 2012; Salmon and Diamond
2012; Klaasen and Peter 2014), the lack of standardization across these measures makes it difficult to generalize their findings (Paasonen 2011). This is also a problem for studies like ours
that seek to analyse content in relation to depictions of physical violence and/or aggression (e.g.
Bridges et al. 2010; Shor and Seida 2020; Seida and Shor 2021). Here, studies must grapple with
what does, and does not, constitute violence, including whether intention and response should
bear any definitional weight (see further Klaasen and Peter 2014; McKee 2015).
Overall, this lack of standardization can go some way towards explaining the vast differences
in findings on violence and aggression in mainstream pornography. Offline samples can give figures from 2 per cent (McKee et al. 2008) to over 90 per cent (Bridges et al. 2010), with variation
replicated in online samples of Pornhub, which range from 12 per cent of content containing
aggression (Shor and Seida 2019; Shor and Seida 2020) to closer to 35 per cent (Office of Film
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ual script theory in relation to pornography, outlines how pornography users learn new sexual
scripts, prime learned scripts through repetitive exposure to homogeneous representations and
utilize sexual scripts with normative, appropriate and rewarding behaviours. Braithwaite et al.
(2015) similarly use sexual script theory to explore the connections between pornography consumption and ‘friends with benefits’, while Sun et al. (2016) use it to discuss the connections
between men’s pornography consumption and particular forms of men’s sexual practice. This
focus continues through the more recent literature with Marshall et al. (2018) exploring the use
of sexual script theory as the conceptual foundation for a relationship between pornography
use and sexually coercive behaviours. Where our current study differs is in using the opportunities provided by sexual script theory to examine pornography’s social function, not its impacts
necessarily on individual users but its contribution to broader social understandings about the
boundary between sex and sexual violence. This is a boundary that itself is contested particularly in the literature about pornographic content, which we now briefly review.
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METHODS
Data sampling
Within the aim of developing a new empirical basis for understanding the content advertised to
a first-time viewer of pornography in the United Kingdom, the study set out to address three key
research questions: 1) Is pornography that describes criminal acts of sexual violence being advertised to a first-time user of mainstream online pornography? 2) How common is the script of
sexual violence in the content advertised to a first-time user of mainstream online pornography?
3) How is the boundary between consensual and criminal sexual practices communicated to a
first-time user of mainstream online pornography?
To generate a sample able to answer these questions, the three most accessed pornographic
websites were identified through Alexa Internet, a web traffic analysis tool. At the time of data
collection, these were Pornhub.com, Xhamster.com and Xvideos.com. All sites gave written
consent to access the data. Ethical approval was given by [removed for peer review] and, due to
the nature of the data, a dedicated partition of one of the university servers was established to
hold the data for the duration of the project.
We were interested in what content the pornography websites themselves pushed to the landing page without any user intervention, thus replicating the content advertised to the new or
first-time user. We discovered the sites tracked and adapted to user actions to different degrees
from an exceedingly high level of customization (Pornhub and XHamster) to operating as a
relatively static site (XVideos). Accordingly, we developed a process across all three sites that
enabled us to collect the data without interacting with the site, as any interaction would notify
the site’s algorithms of our location and that we were the same user. This enabled us to limit
the capacity of the site to modify their content based on our behaviour, something we have not
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and Literature Classification 2019). Sampling is also implicated in the inconsistencies in the
evidence base. Offline pornography, e.g., is subject to different regulatory regimes (in different
countries) than online materials, meaning that the findings from one context cannot be easily
translated to the other. With the internet now the common route for pornography access (Hald
et al. 2013), studies are increasingly sampling directly from tube sites (e.g. Cusack and Waranius
2012; Klaasen and Peter 2014; Vannier et al. 2014; Shor and Seida 2020). However, even with
this approach, sample size remains an issue, with Zhou and Paul’s (2016) study getting closest to
accounting for the scale of online pornography with a sample of over 3,000 videos.
This study offers a way through some of these sampling and definitional issues. It draws on
the largest sample of online pornography collected for research to date, a sample that allows
us to ask broad questions about the content on offer through mainstream online pornography.
The use of the most widely used policy definition of sexual violence, that of the World Health
Organization (Krug et al. 2002), helps extend the current evidence base away from a focus on
physical aggression, moving us closer to the criteria used to distinguish sex from sexual violence
within the United Kingdom—namely consent, coercion and the criminal law. We do not use
intention or response to evaluate what counts as sexual violence, instead we centre analysis on
how the material is described in recognition that this is how the audience is invited to make
sense of the content, an approach we have only seen in the work of Eran Shor (e.g. Shor and
Golriz 2019; Shor 2019; Shor and Seida 2019). Finally, our study is unique as it does not sample content based on the practices of individual users, e.g. the most popularly accessed or highly
rated porn videos. Rather, it is based on the actions of the sites themselves, analysing the content which is advertised on the landing page to a first-time user. This, together with the frame of
sexual scripts, is where our work significantly advances the existing evidence base, helping us to
shift focus from individual users and effects onto the pornography platforms themselves.
Sexual violence as a sexual script in mainstream online pornography
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Data cleaning
The data was cleaned to remove titles that did not contain words and thus could not be analysed
through word frequency (e.g. ‘F.F.B_1006’). We also removed titles solely in a language other
than English due to the language abilities of the research team. We then manually cleaned the
data to exclude titles that did not give any content information. This included those that were
just uploader comments, with no description of content (such as ‘share my vid please:)’, and
those with only the name of the performer or studio. Where any descriptive adjective was used
for the performer (including limited adjectives such as hair colour) or for the content (even
where only acronyms such as JOI ‘Jerk Off Instruction’ or POV ‘Point of View’), titles were
retained. These exclusions were made on the basis that these titles did not provide any information to users about what/where/or who was or was not sexual and thus could not be accurately
described as presenting a sexual script. This means that after cleaning, while not all titles could
be accurately labelled as describing a sexual act, they did describe something which by virtue of
being on a porn site was situated as sexual and thus could be considered part of a sexual script.
This process left us with a final analysable data sample of 131,738 titles.
Data coding and analysis
Our analysis is grounded in the most commonly accepted policy definition of sexual violence,
namely that used by the World Health Organization (Krug et al. 2002).3 Guided by this definition, we focussed on four broad categories of sexual violence: sexual activity between family
members; aggression and assault; image-based sexual abuse and coercive and exploitative sexual activity. For each category, a series of keywords was generated through a three-stage pro-
1 The different size in data set per site relates to the difference in the amount of content shown on their individual landing pages.
2 We checked subsample representation from each website against that site’s overall representation to determine whether any
site was overrepresented in any particular area. On the whole, we found commonalities across all sites, with further details available on request.
3 ‘Any sexual act, attempt to obtain a sexual act, unwanted sexual comments or advances, or acts to traffic, or otherwise directed, against a person’s sexuality using coercion, by any person regardless of their relationship to the victim…. Coercion can
cover a whole spectrum of degrees of force. Apart from physical force, it may involve psychological intimidation, blackmail or
other threats …. It may also occur when the person aggressed is unable to give consent – for instance, while drunk, drugged,
asleep or mentally incapable of understanding the situation’ (Krug et al. 2002: 149).
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seen replicated in other methods of content capture for online pornography. We developed a
web-crawler and parser code, running on a provisioned virtual server, which also enabled us to
limit the amount of tracking required. The code worked to take a ‘snapshot’ of the landing page
for each site, including the gifs (broken down into their individual images) that appear to users,
their associated title and a unique video identifier, which enabled us to see whether a video appearing on the front page had previously appeared during the data collection period.
To avoid temporal interferences, we set an extended period of data collection (six months)
and ran the code every hour on the hour. Over this data collection period, a total of 72,326 sets
(comprising images, titles and html) were collected from XHamster; 40,401 from Pornhub and
38,858 from XVideos.1 The sets from the three sites were then combined to enable analysis
across the entire corpus and allow us to ask questions about mainstream pornography in general
rather than only of the specific sites.2 We removed duplicate video identifiers where the same
video from the same upload appeared more than once in the data (e.g. if the same video was
pushed to the front page more than once over the collection period). This process resulted in
a total data corpus of 151,546 unique sets. The titles from each set were then downloaded into
a spreadsheet for cleaning, together with their unique video identifier and their host website.
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Limitations
Due to the size of the data corpus, we cannot claim to have exhausted the possibilities for keywords that would return titles that fit our coding criteria. The frequency of misspellings and
grammatical errors in the titles also means that even where keywords were included, it is likely
that some relevant titles were not returned. Where possible, we attempted to account for this
by searching for parts of words or common misspellings (‘upskyrt’ for example). However, our
results can speak only to the keywords we used and, despite our diligence, these figures should
be taken as an undercount of relevant titles.
We are also only able to make claims about what is described, not what is actually depicted.
The decision to separate the titles from the images was taken to enable analysis across the entire
corpus, something that would not have been possible given its size, if we had attempted to also
conduct a content analysis of the images contained in each set.4 Though we are unable to make
claims here about the images that are shown to users, as Shor (2019) acknowledges, the titles
of online pornography videos play a principal role in identifying the story that is marketed to
them. Notably, this interpretative function of the labels/titles is also recognized by the porn
sites themselves, with Pornhub stating: ‘Before clicking a video, users want to know what they
can expect to see… Rather than stating “what” they will see, use the title to describe “how”
they will see it’ (Pornhub 2020a). It is thus the titles that we believe plays a key part in shaping
understandings about what is and is not sexual, not necessarily what the user actually sees but
how they are encouraged to make sense of it.
Finally, the unresolved debate in the literature about how to appropriately code physical violence was an ongoing discussion among the research team. We struggled both in how to approach the issue of BDSM pornography (see the discussion in our findings on physical aggression) and what to do with content that suggested violence, but fell outside of the coding frame
we had set.5 As such, we do not claim to have uncovered all descriptions of sexual violence in
4 In addition, even if analysing the images in each gif, we would not have been able to make claims about what was included in
the video as gifs are a snapshot of the full length video, designed to entice the viewer.
5 For example, we did not include objectifying language that has been conceptualized as psychological violence (Cusack and
Waranius 2012); nor did we include keywords to capture degrading and/or body punishing acts as these sat outside the WHO
definition, thus excluding titles such as: ‘Pissed on, fucked, and dripping with cum’ and ‘puking blood’.
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cess. We conducted a mapping exercise of associated terms for rape, coercion, incest, family
members, abuse, image-based sexual abuse and physical aggression and assault, followed by an
internet search for synonyms of the generated words. Finally, during data cleaning, any additional words that were routinely seen in the titles, and matched the search criteria, were added
as keywords and run against the entire corpus.
The keywords were then applied to the cleaned data corpus. This initial search returned all
titles containing each keyword, which were then manually coded for relevance to each category.
The process of coding for relevance involved two members of the research team reviewing the
titles returned by a keyword search and excluding those that, though containing the keyword,
were either not relevant to the category under consideration or clearly identified the material as
BDSM (bondage, domination, submission and masochism). All exclusions for relevance were
validated by a second coder before removal. Keyword tables throughout this article show both
the ‘initial count’ (IC), i.e. all titles from the cleaned data corpus that returned the keyword,
and the ‘final count’ (FC), i.e. the titles that were manually coded as relevant. To avoid double
counting the final figure, each category was calculated after duplicates were removed (i.e. where
titles included more than one keyword and thus were returned more than once). The relevant,
non-duplicate list of titles for each category was inputted in NVIVO for word frequency across
both individual categories and the combined list.
Sexual violence as a sexual script in mainstream online pornography
• 1249
the data. We are aware that our methods, combined with the often dichotomous nature of the
porn debates, may lead to claims about both overcounting and undercounting the extent of violence in our sample. Further research is urgently needed to understand the continuum of rape
supportive discourse in mainstream online pornography. Our results reveal the importance of
directing this research not just at the available content or the content most accessed by users,
but more firmly at that which is promoted to users by the pornography sites themselves.
In the discussion that follows, we provide uncensored examples of the titles in our data set in
order to ground our discussion in the realities of pornography. This follows the approach of feminist researchers on online harassment ( Jane 2014; Vera-Gray 2017). Our aim is to ensure our
discussion is rooted in the reality of the content, challenging the ‘tyranny of silence’ ( Jane 2014:
533) in public and policy discourse about what actually constitutes mainstream online pornography. This means that the following sections contain language that is uncommon in academic
articles and that some may find disturbing.
Overall findings
In total, we found 12 per cent (n = 15,839) of the total analysable sample (n = 131,738) of
titles described sexual activity that constitutes sexual violence. This equates to one in every eight
titles. The site spread was roughly equal to the representation of each site in the overall corpus.
Titles from Xhamster were found in 49.6 per cent of the content coded as sexual violence (7,862
titles) and comprised 47.7 per cent of the overall corpus. Titles from Pornhub comprised 20.7
per cent (3,278) of the titles coded as sexual violence and 26.7 per cent of the data corpus, while
XVideos’ titles comprised 29.7 per cent of the titles coded as sexual violence (4,699) and 25.6
per cent of the sample overall.
Word frequency showed that ‘teen’ was the most frequently occurring word in both the entire data corpus (n = 10,149, 7.7 per cent) and the sample coded as describing sexual violence
(n = 1,344, 8.5 per cent). ‘Teen’ is thus a more common way to describe pornography than any
description of a sex act or body part, and it appears to be slightly more common in content
describing sexual violence.
Sexual activity between family members
The most frequent form of sexual violence in the data was that relating to sexual activity between family members. This echoes New Zealand research, which found that nearly half of the pornographic videos examined featured step or other family sexual activity (Office of Film and Literature Classification
2019). Unlike the other categories, as well as giving the overall initial and final counts for each keyword, the family category was also coded to differentiate between a family relationship being used as
a descriptor (C1 in Table 1), e.g. ‘aunty grabs the nerdy boy’s virginity’, and titles that described sexual activity between family members (C2), such as ‘Daughter swallows Dads cum than gets fucks’. In
coding for relevance titles that sought to explicitly underscore that they were representations such as
‘brother and not sister’ and ‘Amateur Bathroom Dick Sucking not Sister and Brother’, were removed.
After also removing duplicates where the same title included more than one keyword, a total
of 8,421 titles contained family relationships being used as a descriptor (6.4 per cent of total data
set), with a further 5,785 (4.4 per cent of total analysable data set) explicitly describing sexual
activity between family members. We excluded the former (e.g. ‘Aunt Sue second anal video’) as
these cannot be accurately categorized as describing forms of sexual violence. Our focus here is
thus only on the latter, namely titles describing sexual activity between family members, such as
‘Brother Fucks Sister In The Ass Outdoors’ and ‘dad and daughter fucking- homemade’.
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FINDINGS
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Table 1. Keywords for sexual activity between family members6
IC/FC
C1/C2
Keyword
IC/FC
C1/C2
aunt –step
aunt +step
bro –step
bro +step
cousin –step
cousin +step
dad –step
dad +step
daughter –step
daughter +step
family
father –step
father +step
fauxcest
gran –step
gran +step
incest
mom –step
mom +step
404/384
19/19
1,826/925
653/653
92/92
6/6
1,470/1,407
584/584
1,360/1,357
644/644
730/713
219/215
144/144
22/22
2,670/2,579
24/21
2/1
4,195/4,055
1,138/1,138
219/165
4/15
30/895
116/537
4/88
3/3
758/649
137/447
274/1,083
140/504
56/657
49/166
16/128
2/20
2,288/291
4/17
0/1
2,072/1,983
471/667
mother –step
mother +step
mum –step
mum +step
nephew –step
nephew +step
niece –step
niece +step
parent –step
parent +step
sibling –step
sibling +step
sis –step
sis +step
son –step
son +step
uncle –step
uncle +step
1,147/1,102
97/1
150/113
1/0
76/76
8/8
32/32
2/2
134/87
10/10
16/15
33/33
2,094/1,581
1,057/1,055
3,119/1,810
441/441
94/94
4/4
458/644
30/66
76/37
0/0
6/70
0/8
10/22
0/2
48/39
3/7
0/15
0/33
422/1159
410/645
237/1,573
43/398
35/59
0/4
Table 1 shows that representations of step relationships were less common than blood relationships. This was replicated in word frequency analysis which found that the majority of titles
describing sexual activity between family members referred to members of the immediate family (mother, father, sister, son and daughter), such as ‘Brother fuck her sister in her sleep’, ‘When
Mom’s Mad, Dad Goes To His Daughter’ and ‘Daddy keeps fucking daughter till she likes it’,
rather than featuring extended relationships, such as grandparents, aunts or uncles. Word frequency analysis also found that mothers were overwhelmingly the family member most likely to
be shown as engaging in sex with other family members, in particular with their sons.
Physical aggression and sexual assault
The second most common category was that of physical aggression and sexual assault. Here we
use the term ‘physical aggression’ to make clear we have not included search terms directed at
uncovering verbal aggression (such as ‘dumb slut gets fucked’), though some such titles were
returned by the keywords used in both this and other categories (e.g. ‘stupid bitch tricked into
dick riding’).
This category is perhaps the most studied in the existing literature on violence in pornography, and is where the debates on how to define violence are most apparent. When coding for
relevance we excluded material that was advertised to viewers as consensual BDSM, a decision
6 Several keywords were removed after manual coding showed these to be overwhelmingly used to refer to non-family relationships (e.g. ‘milf ’ and ‘mama’). ‘Daddy’ was particularly difficult to code given its colloquial use: ‘quick rough sex before work
with daddy’ could be describing a family relationship, but it is more likely that the word ‘daddy’ is being used here as a descriptor
for a man who is in a dominant but not a family relationship with the other performer. Given this ambiguity, all uses of the term
‘daddy’ were coded as C1 (descriptions of a role), as those describing sexual activity between family members (C2) would be
found through other keywords, e.g. ‘Daddy fucks both stepdaughters’.
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Keyword
Sexual violence as a sexual script in mainstream online pornography
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Image-based sexual abuse
The third category analysed was titles describing ‘image-based sexual abuse’ (McGlynn and
Rackley 2017), namely all forms of the non-consensual creation and/or distribution of sexual
images including material commonly known as ‘revenge porn’ and ‘upskirting’, as well as voyeurism including hidden cameras and ‘spy cams’. As with other categories, we do not claim that
the titles are describing videos that were in reality made and/or distributed without the consent
of those featured, though this is likely the case for some (McGlynn et al. 2019). Rather, we
are interested in whether image-based sexual abuse is presented as a normative sexual script in
mainstream pornographic content.
Given that abusive image-based content hinges on its non-consensual nature, our keywords
focused on terms such as ‘hidden’, ‘spy’ and ‘leaked’, but excluded terms such as ‘ex’, ‘homemade’
and ‘filmed’ as these terms alone do not qualify the representation as being one of image-based
sexual abuse. This means that titles such as ‘His wife filmed and exposed’ were excluded. Though
there is a valid argument that the viewer is being invited to understand the content here through
an image-based sexual abuse script, the non-consent of ‘his wife’ is ambiguous. Similarly, we ex7 Research acknowledging abusive and non-consensual practices within the BDSM community has highlighted how a simple
equation of all BDSM practices with abuse, aggression and non-consent can contribute to a broader context where abuse within
the community is silenced (Barker 2013). However, less attention is paid to how the overlapping nature of sexual scripts based on
power inequalities, with scripts based on coercion and abuse, are also implicated in masking the extent of sexual violence within
both BDSM pornography and the BDSM community.
8 ‘Black’ was used in the titles in the sample as both an adjective for a person or body part, as well as part of a verb ‘blacked’ or
‘blackened’ referring to when a white performer (most often a woman) has their first sexual experience with a black performer.
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that means that we do not account for all descriptions of aggression and assault in the data. This
exclusion was made after lengthy discussion in recognition that the sexual script in BDSM content often differs from the ‘coercion’ criteria that underpins the WHO definition of sexual violence. It means that we excluded titles that were both explicitly located within a BDSM context
(e.g. ‘Adorable Teen pinish [sic] tied up and brutally fucked hard bdsm’), as well as implicitly
drawing on a BDSM frame through terms such as ‘slaves’, ‘subs’, ‘sissys’ and ‘masters’. However,
as is clear from these examples, there are overlaps between BDSM pornographic content and
content depicting aggression and assault. We thus believe further work is needed to complicate
both the conflation and the separation of BDSM content from that depicting aggression and
assault.7
Table 2 shows that after duplicates were removed, a total of 5,389 titles with unique video
identifiers were coded in this category, 4.1 per cent of the analysable data set. Our focus in this
category ranged from titles that described forms of sexual assault, such as ‘force’, ‘grope’ or ‘molest’; to those that described physical forms of violence such as ‘kick’, ‘punch’, and ‘slap’; as well
as those that described sexual acts using physically aggressive language such as ‘brutal’, ‘throat/
skullfucked’ and ‘pound’. It was the latter category that was the most frequent, capturing titles
such as: ‘Crying blonde bitch takes rough cunt drilling’; ‘Meth whore wife throat fucked and
pounded by dealer’; and ‘big huge white monster cock breaking open asian maid pussy’.
Alongside the frequency of ‘teen’ in this category (found in 11.8 per cent of titles, n = 634,
second only to ‘gets’, n = 933), word frequency analysis highlighted the commonality of descriptions of anal sex. When results for both the keywords ‘ass’ and ‘anal’ were combined, and
duplicates removed, a total of 1,017 of the titles coded as aggressive (18.9 per cent) referred to
anal sex, suggesting a connection between sexual scripts of physical aggression and assault in
mainstream online pornography, and descriptions of anal sex. Also notably the word ‘black’8
occurred in the top twenty most frequent words for this category but not others (4.0 per cent,
n = 214), suggesting another connection between scripts of physical aggression and sexual assault and racialised descriptions of black performers.
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Table 2. Keywords for physical aggression and sexual assault9
IC/FC
Physical aggression and assault
IC/FC
abus (+e; +ing)
ambush
annihilat (+e; +ion; +ating)
assault
attack
beat
break
brutal
cane
chain
chok (+e; +ing)
destroy
destruct
drill
face (+fuck)
flog
forc (+e; +ing)
gag
grop (+e; +ing)
hammer
harsh
hits/hitting
hurt
kick
kidnap
133/122
17/17
6/6
4/4
44/14
123/38
268/58
297/258
77/24
49/17
98/84
195/184
28/26
364/342
392/242
13/9
103/98
383/305
83/79
93/88
24/16
23/0
49/38
34/9
5/3
molest
pain
plough/plow
punch
rail
ram
rape
rough
ruin
skull (+fuck)
slam
slap
smash
spank
stab
struggl (+e; +ing)
pound
punish
tied
throat (+fuck)
torture
violat (+e; +ing; +ion)
violen (+t; +ce)
victim
whip
12/12
260/145
107/102
15/8
97/73
264/90
3/1
996/703
165/63
13/12
140/135
90/65
77/76
372/296
12/3
29/22
845/830
550/449
394/271
367/177
99/61
13/13
10/5
11/5
167/76
cluded titles that focused on someone being recorded by a partner or third party, unless the use
of qualifiers such as ‘secretly’ or ‘spy’ located such filming as non-consensual.
After coding, a total of 2,966 titles with unique video identifiers (2.2 per cent of the analysable
data set) constituted descriptions of image-based sexual abuse (Table 3). The findings demonstrate a predominant focus on voyeurism, both explicitly and through more implicit terms such
as hidden or ‘spy’ cameras and upskirting, with titles such as: ‘Beach Spy Changing Room Two
Girls’; ‘Pharmacy Store Bathroom Hidden cam’; and ‘Upskirted in the train’. This shows that the
sexual script of image-based sexual abuse on these mainstream porn websites centres largely on
the non-consensual creation, rather than distribution, of images. Word frequency analysis supports this, with ‘voyeur’ (21.7 per cent, n = 644) and ‘hidden’ (16.2 per cent, n = 480) the most
common terms in the subsample.
9 Note that ‘hits’ and ‘hitting’ returned no relevant results as they involved hitting ‘on’ someone or ‘greatest hits’. After some
discussion, the term ‘spank’ was included despite claims that its inclusion as a form of sexual violence may be overinclusive
(McKee et al. 2008). We decided to follow previous content analyses that included the term (e.g. Bridges et al. 2010 Klaasen and
Peter 2014). As with other keywords, where ‘spank’ was explicitly located within a BDSM context, the title was excluded. ‘Cane’
also shows a lower relevance count due to its high rate of inclusion in titles specifically describing BDSM content.
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Physical aggression and assault
Sexual violence as a sexual script in mainstream online pornography
• 1253
Table 3. Keywords for image-based sexual abuse
IC/FC
Keywords: IBSA
IC/FC
candid
caught (+cam / +tape / +film)
cctv
downblouse
expose
hack
hidden
leak
tricked nudes
peek
peep
phone
privat
record
revenge
74/74
98/91
2/2
33/33
389/345
35/27
547/494
111/96
2/2
25/24
74/66
165/18
317/249
139/117
112/3
saw
secret (+cam / +tape / +film / +watch /+record)
sex + tape
spied
spies
spy
stolen
unaware
undershort
unreleased
unsecured
unseen
up + shorts
upskirt (upskyrt; up+ skirt; up-sk)
voy
92/8
27/27
381/92
34/34
13/13
725/697
22/13
27/22
1/1
4/4
4/4
9/9
1/1
330/330
905/902
Coercion and exploitation
The final category analysed was sexual scripts using coercion and exploitation. This included
sexual activity that may be missed when focussing solely on aggression or physical assault yet
meets the WHO definition of sexual violence (Krug et al. 2002). We also included terms that
implied an inability to consent, such as being below the age of consent, using the keywords
‘very young’ and ‘schoolgirl’,10 though excluding more ambiguous terms such as just ‘young’
(n = 4,224) or ‘teen’ (n = 12,378).
Table 4 shows that a total of 2,698 titles with unique video identifiers were coded as describing
coercive and exploitative sexual activity (1.7 per cent of analysable data set). As with other
categories, a large list of keywords was used in order to capture the range of circumstances that
may describe sexual activity in coercive or exploitative circumstances. These were then filtered
for relevance. Keywords such as ‘cash’, e.g., were only included in the final count where they
described sex in exploitative circumstances such as ‘Chubby Spanish Teen Needs The Cash’.
Similarly, keywords such as ‘dislike’, ‘hate’, and ‘cry’ were coded as relevant only where they appeared in titles describing implicitly non-consensual sex, e.g.: ‘Dopefiend HATES CUM in her
mouth LOL’.
Word frequency analysis showed the particular commonality of youth descriptors in the material coded as coercive and exploitative. Though some of this could be expected given the keywords for this category, it is nevertheless concerning that the top three most common words
were all centred on highlighting the youth of performers: ‘schoolgirl’ (n = 475, 17.6 per cent),
‘girl’ (9.6 per cent, n = 259) and ‘teen’ (8.8 per cent, n = 237). This supports the findings of Shor
(2019) who found that when compared with adult performers, ‘teens’ were about five times
more likely than adults to be in videos featuring forceful anal penetration as well as more likely
to be in videos where the male performer ejaculated in their mouth or on their face.
10 In relevance coding, we excluded titles where it was explicit that this was a fantasy and/or that made it clear those involved
were over 18, such as: ‘Amateur Brunette Dressed Like A Naughty School Girl Fucked On Cam’ and ‘icecream truck finally 18
schoolgirl gets first big cock’.
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Keywords: IBSA
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Table 4. Keywords for coercion and exploitation
IC/FC
Coercion and exploitation
IC/FC
accident
advantage
blackmail / blackmale
bribing / bribe
captive
cash
chloroform
convince (+d +convincing)
cries / cry (+ing)
cruel
coerc (+ion; +d; +e)
debt
desperate
didn’t
dislike
distress
don’t / dont11
doesn’t / doesnt
drug (+ged, +ing)
drunk
exchange
exploit
fear
flash (+ing +er +es)
harass
49/36
35/32
139/134
26/15
11/7
179/153
4/4
59/56
94/67
29/23
5/5
25/20
163/133
26/11
9/5
19/15
186/16
70/13
5/3
72/61
34/12
149/148
6/4
626/234
9/9
hates
helpless
hypno (+sis; +tis/ze)
made to
manipulat (+e +ed)
merciless / mercy
money
oops (+ooops)
reluctant
scared
sleep
surpris (+e +ing)
school (+girl)
taken
trick
unaware
unexpect (+ed +ing)
unsupect (+ed +ing)
unwanted
woke
waking
will (+against)
used
very young
7/6
54/39
83/59
38/32
9/8
50/22
211/169
47/23
18/18
17/8
226/117
278/198
773/756
44/27
206/118
27/27
27/14
4/4
18/18
25/24
23/14
4/4
236/188
26/26
DISCUSSION
Our findings provide new and substantial evidence on the prevalence and nature of descriptions of sexual violence in mainstream online pornography, available on the landing page of the most popular pornography sites in the United Kingdom. In total across the data set, one in eight titles described sexual
activity that constitutes sexual violence. As our sample consists of the content advertised by sites prior
to consumer interaction it is unique in the current literature. The study, therefore, provides significant
new insights into the sexual scripts offered to first-time user, and our discussion centres on what these
insights mean in relation to the legal and social responsibilities of mainstream pornography sites, as well
as for academic debates on the relationship between representations and realities of violence.
Unlawful material and the myth of self-regulation
We have found that mainstream pornography websites are likely hosting material that is unlawful to distribute or download. It is not the case that criminal material is relegated to niche sites,
11 Though there was a particularly low relevance count for both ‘don’t’ and ‘doesn’t’, these terms were necessary to capture titles
that described coercive acts that would have been missed, such as ‘girl never learns, don’t send stuff ’ (implying non-consensual
distribution of images) or those that describe coercive or non-consensual acts such as ‘She said she doesn’t like anal.then gets
ANAL’.
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Coercion and exploitation
Sexual violence as a sexual script in mainstream online pornography
• 1255
12 While the definition of ‘extreme pornography’ includes bestiality material, which we found in our sample, e.g. ‘so horny she
fucked a horse’, we did not code it as sexual violence. The extent of unlawful material, therefore, is likely higher than reported here.
13 For example, XHamster’s terms proscribe any material that is ‘unlawful, threatening, abusive, harassing, tortuous, defamatory, libellous, invasive of another person’s privacy, hateful, or racially, ethnically or otherwise objectionable’ (XHamster 2020).
Pornhub’s (2020b) proscribe any content ‘depicting child pornography, rape, snuff, torture, death, violence or incest, racial slurs
or hate speech’ or any content that is ‘obscene, illegal, unlawful, defamatory, libellous, harassing, hateful, racially or ethnically
offensive, or encourages conduct that would be considered a criminal offense, give rise to civil liability, or is otherwise inappropriate’. Similar provisions from XVideos (2020) proscribes material that is ‘unlawful, threatening, harassing, hateful or encourages
conduct that would be considered a criminal offence, give rise to civil liability, violate any law, or is otherwise inappropriate’,
including that this covers material ‘depicting or implying rape, forced sexual acts, bestiality, death’, material depicting ‘violence
or abuse (actual harm to another living thing)’ and material that ‘depicts or promotes incest’. Note that the terms and conditions
discussed were in force at the time of data collection.
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hidden from all but a determined viewer, or only available on the dark web. It thus cannot be
assumed either by regulators, individual users or policy-makers, that the mainstream websites
are ‘safe’ sites, free from unlawful material. This challenges an assumption that there is clear
water between websites that share criminal pornographic material and those which do not. It is
untrue that the most popular pornography websites provide acceptable pornographic content
which should be freely and easily accessible to adults, and more awareness is needed for users to
ensure they are aware that such sites do not protect them from potentially committing criminal
offences.
Across the United Kingdom, e.g., it is a criminal offence to possess ‘extreme pornography’
which includes simulated images of non-consensual sexual penetration and life-threatening injury (McGlynn and Rackley 2009; Vera-Gray and McGlynn 2020).12 However we found on
the landing pages descriptions of forced sexual activity that may meet the criteria of extreme
pornography, titles such as ‘again and again forced’ and ‘Sleeping anal drunk drugged fuck toy
borracha drogada teen’. This material may also be deemed obscene and therefore its distribution
possibly subject to criminal sanction under the Obscene Publications Act 1959. It is also possible that some of the material analysed is evidence of real sexual assaults, as well as voyeurism
and non-consensual distribution of sexual image offences.
The prevalence of the word ‘teen’, as well as other terms indicating much younger performers,
also raises questions of criminal regulation. While many of the videos entitled ‘teen’ will involve
adult actors, it is also possible, due to their not inconsiderable number, that some may be under
the age of eighteen. This poses a challenge to the viewer as the possession of child sexual abuse
images constitutes a serious criminal offence. Further, while it may be argued that the term ‘teen’
can be used legitimately to refer to actors over eighteen and over the age of sexual consent, much
of the material still promotes a sexual script premised on underage participants or coercive circumstances, with the use of terms such as ‘pigtails’, ‘homework’ and ‘braces’ to suggest younger
teenagers and titles such as ‘Daddy, I Don’t Want to Go to School!’. Indeed, recent investigations
into material on Pornhub have located child sexual abuse material (Das 2019), with Pornhub
removing a significant proportion of their content in response to a threatened withdrawal of financial service providers from their site (Paul 2020).
This indicates that while there is little formal regulation of the material on mainstream pornography websites, potentially the websites themselves could control the material available.
However, our research shows that there is a large gulf between what the companies say they
prohibit and what is actually available. In reviewing the terms of each site, what is striking is
that they cover the depiction of acts such as incest, material implying acts of sexual violence and
any content that promotes or encourages criminal behaviours.13 The material prohibited is not,
therefore, limited to ‘real’ acts of sexual violence, but includes simulations. As a public statement
regarding the legitimate content on their sites, these terms suggest an almost blanket prohibition on any material depicting criminal or abusive behaviours, including sexual violence and
invasions of privacy. In light of this, it is particularly notable that we found so much material that
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contravenes these terms through simple keyword searches, a task that could be easily automated
if the sites wanted to proactively apply their terms.
Our study thus raises serious questions regarding the validity and veracity of these terms and
conditions and the willingness of pornography websites to self-regulate. Indeed, such questions
are now being raised in many countries which are reviewing the role and regulation of social
media and other internet companies, including pornography websites (Australian Government
2019; Department for Digital, Media, Culture and Sport 2020).
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Sexual norms and accountability
The significance of our findings goes beyond recommendations for regulation and onto
the need for active measures to combat mainstream pornography’s positioning of material
depicting sexual violence as normative and legitimate. This is where sexual script theory, together with the critique of the media effects model from cultural criminologists, enables our
findings to contribute to the broader conceptual discussion about the relationships between
porn, users, and society.
What sexual script theory helps to acknowledge is that while the law has both a substantive and
symbolic role in establishing the sexual norms of a society, individuals also develop their understandings of sexuality through resources in their social environment (Simon and Gagnon 2003).
These social resources include exposure to representations and institutions that, through stigmatizing and criminalizing some sexual behaviours, while instructing and encouraging others, set out
where the boundaries may lie between appropriate and inappropriate sexual conduct (Wiederman
2015). Mainstream online pornography is a key social institution for developing this kind of sexual
understanding. Drawing on the work of Yancey Martin (2004: 1257–8), institutions have a particular function of legitimating ‘the rightness and necessity of their arrangements, practices, and social
relations’. Given our findings, this directs our attention to the role of the mainstream porn sites in
producing and reproducing what Nicola Gavey (2004) calls the ‘cultural scaffolding of rape’, namely
the construction of cultural norms and practices that support rape or set up its preconditions. Such
a conceptualization moves us away from a focus on pornography’s individual function as sexual fantasy or release, towards recognizing what Vera-Gray (2020) sees as its social function; that is laying
out a hegemonic framework of sexual norms (Johnson and Bridges 2018).
For example, it was rare for descriptions of activity that constitute sexual violence to be explicitly labelled as such. Though there were some examples, such as ‘abuse in the cellar’ or ‘Teen
who’re used and abused part 2’, most of the titles describing violent and abusive sexual practices
were not identified in this way. The majority of the titles coded under family were describing
acts that would constitute what would commonly be understood as ‘incest’ (and depicting unlawful activity). However, the term ‘incest’ only returned one relevant result, and even then
only in a website address, not the video description itself: ‘Daughter Getting Fucked By Her
Dad-Latestincesttube.com’. ‘Rape’ too only returned one relevant result, and again this was in
the site address rather than the title itself: ‘Mother beat her pussy – www.rapedcams.com’. This
does not mean that there are no such examples in the data. Rather, rape is described without the
specific term being used, such as: ‘Boyfriend forced gf for sex’ and ‘She Woke Up Being Fucked’.
Similarly, we found few results labelled explicitly as a form of ‘revenge porn’ such as ‘Cheated GF
fucked on webcam in revenge porn’, but much material identified as ‘leaked’ or similar.
Instead of these acts of sexual violence being clearly labelled as such, it was much more common for descriptions of even the most serious sexual offences to be positioned as ordinary or
even humorous. It is here that the positioning of sexual violence as a normative sexual script
is most apparent. Examples such as ‘Police Takes Advantage of a Young Girl to Fuck her Ass’,
‘Surprise Anal, That was no accident!’, ‘unwanted painful anal’, and ‘Rhianna fucked while she’s
Sexual violence as a sexual script in mainstream online pornography
• 1257
CONCLUSION
Our study offers new and compelling evidence that the boundary between what is and is
not sexual violence is distorted by mainstream online pornography platforms. Using the largest sample of online pornographic content collected to date, we have found that one in eight
titles on the front page of mainstream pornography sites describe acts that would fall under the
most widely used policy definition of sexual violence. The frequency of pornography titled in
this way, given its prohibition in the site’s terms and conditions, is notable in itself. However,
our analysis moves beyond the primarily quantitative analysis that has dominated research on
pornographic content thus far. Instead, we suggest that analyses of sexual violence in pornographic content must contend not only with frequency but equally with context; that is with
how these representations are described and encountered in ways which position them as acceptable and accepted.
The titles we have reported on here are not found by users of their own volition beyond a
decision to access pornography. They are not displayed as a result of a user’s search terms or site
history, nor are they only accessed through niche sites specializing in violent pornography. They
are freely available on the landing pages of the most popular porn sites in the United Kingdom.
We contend that users of such sites would have a realistic expectation that none of the material
they access through such sites would depict criminal sexual acts, given the prohibitions set by
the sites themselves. Similarly, we found that depictions of practices that meet criminal standards of sexual violence, including rape, incest and so-called ‘revenge porn’, are labelled in ways
that not only minimize or remove their criminality but often mock or belittle the possibility
of harm. The significance of our findings thus lies in this context, a combination of how sexual
violence is described in mainstream pornography as well as how it is positioned and how it is
found. We argue that it is this broader context that situates the depictions and descriptions of
aggression, coercion and non-consent that we found, as normative heterosexual practice.
These findings are set within a conceptual framework that draws together work from critical criminology, feminist and sexual script theory to support a shift in research focus from
the effect on the individual towards an understanding of pornography’s social function. We
suggest that the harm of positioning sexual violence as a normative sexual script is not only
in whether or not this can directly affect individual sexual practices, behaviours or attitudes
about sex. When pornography is understood as a key social institution legitimizing sexual
norms, then this distortion between what counts as criminal, what counts as harmful and
what counts as sexual constitutes in itself a form of ‘cultural harm’ (McGlynn and Rackley
2009; Vera-Gray and McGlynn 2020). Our study thus raises urgent questions about the role
and extent of the criminal law, self-regulation and corporate accountability, as well as providing new conceptual and empirical backing for a shift in research towards examining the social
functions of pornography.
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asleep!!’ are all describing forms of sexual activity that meet the criteria for rape. None of these,
however, use words such as force or abuse that would help indicate such acts might be unlawful
or socially censured. Such acts are positioned as normative; that is socially acceptable forms of
sexual activity. Here, the importance of the above discussion detailing the clear disjuncture between the terms of the sites and their content comes to the fore. Not only are titles describing
sexual violence not labelled as such, but the clear prohibition on this kind of material given in
the sites terms, means that users are encouraged to believe that the content they encounter does
not describe, promote, or endorse unlawful activity. This disconnect actively warps the boundary between what counts as sex and what counts as sexual violence.
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ACKNOWLEDGE MEN TS
Researching pornography places considerable strain on researchers. Therefore, throughout this
lengthy project, we have drawn on the support and insights of many colleagues to help us see it
through. We would like to particularly thank Stephen Burrell, Fiona McKay and Jo Wilson for
their valuable research assistance at various stages of the project. We have also drawn on the
expertise of many others in developing the project, particularly Karen Boyle and Maria Garner.
We would also like to thank the anonymous reviewers for their useful comments on earlier versions of this article.
Fiona Vera-Gray also acknowledges the support of the Leverhulme Trust, which generously
provided funding for this work through an early career fellowship grant ECF-2015–428.
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FUNDING
Sexual violence as a sexual script in mainstream online pornography
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