A Meta-Analysis of Pornography Consumption and Actual Acts of Sexual Aggression in General Population Studies

Abstract

Whether pornography consumption is a reliable correlate of sexually aggressive behavior continues to be debated. Meta-analyses of experimental studies have found effects on aggressive behavior and attitudes. That pornography consumption correlates with aggressive attitudes in naturalistic studies has also been found. Yet, no meta-analysis has addressed the question motivating this body of work: Is pornography consumption correlated with committing actual acts of sexual aggression? 22 studies from 7 different countries were analyzed. Consumption was associated with sexual aggression in the United States and internationally, among males and females, and in cross-sectional and longitudinal studies. Associations were stronger for verbal than physical sexual aggression, although both were significant. The general pattern of results suggested that violent content may be an exacerbating factor.

Full text

Journal of Communication ISSN 0021-9916
ORIGINAL ARTICLE
A Meta-Analysis of Pornography
Consumption and Actual Acts of Sexual
Aggression in General Population Studies
Paul J. Wright1, Robert S. Tokunaga2, & Ashley Kraus1
1 The Media School, Indiana University, Bloomington, IN 47405, USA
2 Department of Communicology, University of Hawaii at Manoa, Honolulu, HI 98816, USA
Whether pornography consumption is a reliable correlate of sexually aggressive behav-
ior continues to be debated. Meta-analyses of experimental studies have found eects
on aggressive behavior and attitudes. at pornography consumption correlates with
aggressive attitudes in naturalistic studies has also been found. Yet, no meta-analysis
has addressed the question motivating this body of work: Is pornography consumption
correlated with committing actual acts of sexual aggression? 22 studies from 7 dierent
countries were analyzed. Consumption was associated with sexual aggression in the
United States and internationally, among males and females, and in cross-sectional and
longitudinal studies. Associations were stronger for verbal than physical sexual aggression,
although both were signicant. e general pattern of results suggested that violent content
may be an exacerbating factor.
Keywords: Violence, Aggression, Pornography, Sexually Explicit Media, Meta-Analysis.
doi:10.1111/jcom.12201
Whether the consumption of pornography is associated with sexual aggression risk
has been the subject of decades of scholarly inquiry and multiple government investi-
gations. Rationales for why consuming pornography should, and should not, increase
the likelihood of sexual aggression have been put forward by numerous researchers.
Scholars who maintain that pornography is a risk factor point to theories of classi-
cal conditioning, operant learning, behavioral modeling, sexual scripting, construct
activation, and gendered power (see D’Abreu & Krahe, 2014; Kingston, Malamuth,
Fedoro, & Marshall, 2009; Seto et al., 2010). Scholars who maintain that pornog-
raphy reduces sexual aggression risk or that any eect is inconsequential argue for
masturbatory catharsis, that pornography must be violent to aect aggression and vio-
lent pornography is extremely rare, or that countervailing prosocial inuences dwarf
Corresponding author: Paul J. Wright; e-mail: paulwrig@indiana.edu
Journal of Communication 66 (2016) 183– 205 © 2015 International Communication Association 183

Pornography and Sexual Aggression P. J. Wright et al.
any possible aggression-promoting messages that appear in pornography (see Dia-
mond, Joziova, & Weiss, 2011; Ferguson & Hartley, 2009; Fisher & Grenier, 1994).
eformersetoftheorieswouldleadtothehypothesisthatpeoplewhoconsume
pornography are more likely to behave in sexually aggressive ways than people who do
not consume pornography or who less frequently consume pornography. e latter
set of assertions would lead to the hypothesis that people who consume pornography
areeitherlesslikelytobehaveinsexuallyaggressivewaysorareindistinguishable
in terms of sexual aggression from people who do not consume pornography or
who less frequently consume pornography. To better understand which hypothesis
provides a better match to the accumulated research ndings, this article reports a
meta-analysis of studies correlating direct measures of pornography consumption
with direct measures of sexual aggression in general population studies. Follow-
ing Hald, Malamuth, and Yuen’s (2010) recent meta-analysis of aggression-related
attitudes, pornography is dened as media featuring nudity and explicit sexual acts
designed to arouse the consumer.
Previous meta-analyses
One tactic for investigating whether pornography impacts sexual aggression is to
compare individuals who have and have not been charged with sexual oending. In a
meta-analysis of eight studies, Seto and Lalumiere (2010) found that male adolescent
sex oenders reported more exposure to sex or pornography than male adolescent
nonsex oenders. Allen, D’Alessio, and Emmers-Sommer’s (1999) meta-analysis
included adult sex oenders and assessed both the use of and arousal to pornography.
Sexoendersscoredslightlyhigherthannonoendersacross13studiesthatassessed
some indicator of use. A larger dierence was found across the 32 studies that
assessed sexual arousal, with sex oenders showing more arousal to pornography
than nonoenders.
While sex oender studies are suggestive, they assume that individuals who
have not been charged with a sexual oense are sexually nonaggressive. Because
most sexual assaults go unreported and a minority of reported sexual assaults lead
to arrests, equating a lack of formal charges with a lack of sexual aggressiveness is
problematic (Planty, Langton, Krebs, Berzofsky, & Smiley-McDonald, 2013; Rape
Abuse Incest National Network (RAINN), 2015). Sex oender studies also conate
charges with actual oenses. For these reasons, Malamuth, Addison, and Koss (2000)
argued that studies on pornography and sexually aggressive behavior in general
population samples would be an important contribution to the literature, but noted
that as of their writing, no meta-analysis had been conducted because of a paucity
of studies.
General population studies that have been meta-analyzed involve (a) the eects
of experimental exposure to pornography on nonsexual aggression and attitudes
supportive of violence (ASV) and (b) naturalistic (i.e., self-selected) pornography
consumption and ASV. Allen, D’Alessio, and Brezgel (1995a) meta-analyzed 33
experiments and found that pornography exposure increased nonsexual aggression.
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P. J. Wright et al. Pornography and Sexual Aggression
Nonsexual aggression was operationalized as intentional physical, material, or
psychological aggression (e.g., the administration of electric shocks). Allen, Emmers,
Gebhardt, and Giery (1995b) meta-analyzed 16 experiments and found that pornog-
raphy exposure increased ASV. Hald et al. (2010) meta-analyzed nine survey studies
and found that naturalistic pornography consumption was associated with higher
levels of ASV. Examples of ASV include acceptance of interpersonal violence, rape
myth acceptance, and sexual harassment proclivities. Important both for experimen-
talists interested in further tests of the eects of pornography and for policy makers
interested in the potential remedial role of media literacy eorts is a meta-analysis
by Allen, D’Alessio, Emmers, and Gebhardt (1996) on educational briengs. is
meta-analysis of 10 experimental studies suggested that educational preexposure
brieng and postexposure debrieng materials informing participants about the
ctional nature of pornography and the harms of sexual aggression may mitigate its
adverse attitudinal eects.
Current meta-analysis
Despite years of research and social concern about pornography and sexually aggres-
sive behavior, arguably the most important meta-analysis has yet to be conducted.
Prior meta-analyses have shown that pornography consumption is associated with
higher levels of nonsexual aggressive behavior and ASV, but nonsexual aggression in
thelaboratorycannotbedirectlyequatedtoreal-lifeactsofsexualaggressionandatti-
tudes do not always predict behavior. Accordingly, the rst research question of the
present meta-analysis asks whether pornography consumption is positively correlated
with actual acts of sexual aggression (RQ1).
Potential moderators
e association between pornography consumption and sexual aggressive behavior
may not be uniform across samples and methods (Hald et al., 2010; Mundorf, Allen,
D’Alessio, & Emmers-Sommer, 2007). e exploration of moderating variables in a
meta-analysis is limited by the characteristics of the located studies. e studies found
for the present meta-analysis did allow, however, for the exploration of several poten-
tial moderators suggested by relevant literatures.
Biological sex
Because aggression in pornography is generally directed toward women (Bridges,
Wosnitzer, Scharrer, Sun, & Liberman, 2010), it might be expected that pornography
would more strongly predict the sexually aggressive behavior of males than females.
However, women have been found to aggress against other women in pornography
(Sun, Bridges, Wosnitzer, Scharrer, & Liberman, 2008) and females’ social learning
of aggression is not limited to same-sex models (Bandura, Ross, & Ross, 1961). is
meta-analysis’ second research question asks whether pornography consumption is
dierentially associated with sexually aggressive behavior among males and females
(RQ2).
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Pornography and Sexual Aggression P. J. Wright et al.
Age
Conventional theorizing would suggest that the eect of pornography on sexual
aggression would be stronger for adolescents than adults due to adolescents’ lack of
sexual experience and less developed critical thinking and forethought capacities.
But adults may also be aected for a number of reasons, including the possession of
more gendered beliefs about sex and a longer history of exposure (Peter & Valken-
burg, 2011; Wright & Tokunaga, 2015a). is meta-analysis’ third research question
asks whether pornography consumption is dierentially associated with sexually
aggressive behavior among adolescents and adults (RQ3).
National/International
It has long been suggested that the eect of pornography on sexual aggression is dif-
ferent outside of the United States (Malamuth & Billings, 1986), where most studies
have been conducted. However, many recent studies of pornography consumption
and other sexual behaviors in the United States and internationally have shown more
similarity than dierence (Wright, Bae, & Funk, 2013). is meta-analysis’ fourth
research question asks whether pornography consumption is dierentially associated
with sexually aggressive behavior in national and international studies (RQ4).
Pre-/post-Internet
Pornography is increasingly accessed online. Factors such as easier access to more
violent content, anonymity, and increased control over content selection may enhance
the eects of online pornography (Dines, 2010; Fisher & Barak, 2001; Shim & Paul,
2014). However, pornography had been suggested as a risk factor in sexual aggres-
sion and violent pornography was available well before the advent of the Internet
(Donnerstein & Hallam, 1978; U.S. Attorney General, 1986). is meta-analysis’
h research question asks whether pornography consumption is dierentially
associated with sexually aggressive behavior in pre-Internet and post-Internet
studies (RQ5).
Type of pornography
If facilitating eects of pornography on sexual aggression depend on overt displays
of force or coercion, then violent pornography consumption should correlate with
sexual aggressiveness while nonviolent pornography consumption should not (Allen
et al., 1995b). Translated methodologically, measures assessing naturalistic expo-
sure to violent pornography will correlate with sexual aggression while measures
assessing naturalistic exposure to nonviolent pornography will be unrelated to sexual
aggression.
e violent/nonviolent binary may be awed, however. An infrequently
investigated— but oen discussed —third category is nonviolent but objectifying
and degrading pornography (Kingston et al., 2009; Seto et al., 2010). Not explic-
itly violent, but nevertheless dehumanizing, depictions may also aect aggressive
attitudes and disinhibit aggressive behaviors (Wright & Tokunaga, 2015b). In their
meta-analyses, Allen and colleagues found that experiments in which investigators
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P. J. Wright et al. Pornography and Sexual Aggression
classied content as “nonviolent” did not result in a statistically weaker aggressive
response (Allen et al., 1995a, p. 271) or, across all experiments, a statistically weaker
increase in ASV (although content labeled “violent” produced a stronger eect than
content labeled “nonviolent” within studies that included both conditions; Allen
et al., 1995b, p. 19). If, in naturalistic studies, individuals who consume objectifying
and degrading pornography record their exposure in relation to questions about their
nonviolent pornography viewing, these studies may still nd signicant associations.
Accordingly, this meta-analysis’ sixth research question asks if there is a dierence
in correlational strength between indices of violent pornography consumption and
sexual aggression and indices of nonviolent pornography consumption and sexual
aggression (RQ6).
Most measures of pornography consumption in naturalistic studies do not ask
aboutexposuretovarioustypesofcontent,suchasnonviolent,nonviolentbutdegrad-
ing, violent, and so forth, however. Instead, participants are simply asked about their
frequency of consumption of content featuring nudity and explicit sex. ese gen-
eral, content nonspecic measures oer an opportunity to probe another important
question. Recent studies suggest that the majority of popular pornography has themes
of aggression, degradation, or objectication (Bridges et al., 2010; Dines, 2010; Sun
et al., 2008). If these studies are accurate and the pornography consumed by most
individuals features one or more of these themes, then content nonspecic measures
andmeasuresofviolentconsumptionshouldbothcorrelatewithsexualaggression.
However,ifthesestudiesareinaccurateandthepornographyconsumedbymostindi-
viduals is devoid of aggression, degradation, or objectication, then content nonspe-
cic measures of pornography consumption should be unrelated to sexual aggression.
is meta-analysis’ seventh research question asks if there is a dierence in corre-
lational strength between indices of violent pornography consumption and sexual
aggression and indices of general, content nonspecic pornography consumption and
sexual aggression (RQ7).
Type of sexual aggression
Sexual aggression can take many forms. Two of the more researched types of sex-
ual aggression are physical and verbal (Centers for Disease Control and Prevention
(CDCP), 2014). Physical sexual aggression refers to the use or threat of physical force
to obtain sex. Examples of physical force provided by the CDCP include “pinning
the victim’s arms, using one’s body weight to prevent movement or escape, use of a
weaponorthreatsofuse,andassaultingthevictim”(p.11).Verbalsexualaggression
refers to verbally coercive but not physically threatening communication to obtain
sex, and sexual harassment. Examples of verbal coercion and harassment provided by
the CDCP include “being worn down by someone who repeatedly asked for sex or
showed they were unhappy; feeling pressured by being lied to, or being told promises
that were untrue; having someone threaten to end a relationship or spread rumors;
sending unwanted sexually explicit photographs; creating a sexually hostile climate,
in person or through the use of technology” (p. 12).
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Pornography and Sexual Aggression P. J. Wright et al.
Given that the unethicality of and penalties for physical sexual aggression are more
apparent than for verbal sexual aggression, physical sexual aggression may be more
dicult to disinhibit. Indeed, physical sexual aggression is rarer than verbal sexual
aggression (Boeringer, 1994; Kennair & Bendixen, 2012). It is important to see if
pornography consumption is correlated with both types of aggression and if these
correlations dier in magnitude. is meta-analysis’ eighth research question asks
whether pornography consumption is dierentially associated with physical sexual
aggression and verbal sexual aggression (RQ8).
Cross-sectional/longitudinal data
Cross-sectional data are those gathered on a single occasion. ey allow for assess-
ment of covariation, but not the temporal sequencing of associations. Longitudinal
data are those gathered on two or more occasions. Longitudinal data allow for
the assessment of both covariation and time-ordering. Because causality is more
strongly suggested by prospective than concurrent associations (Malamuth et al.,
2000), it is important to see if pornography consumption is associated with sexually
aggressive behavior in both cross-sectional and longitudinal data. Additionally,
as motives and opportunities for aggressive behavior may take time to arise or
appear (Huesmann, 1998), it is important to test if there are dierences in the
magnitude of pornography– sexual aggression correlations in cross-sectional and
longitudinal studies. is meta-analysis’ ninth research question asks whether
pornographyconsumptionisdierentiallyassociatedwithsexuallyaggressive
behavior in cross-sectional and longitudinal data (RQ9).
Report type
It is important to compare unpublished and published reports for two reasons. First,
published reports may be of higher quality, having been vetted by anonymous peer
reviewers (Neuman, Davidson, Joo, Park, & Williams, 2008). Second, unpublished
reports may be more likely to report null correlations, if journal editors prefer to
publish signicant ndings (Rothstein & Bushman, 2012). is meta-analysis’ tenth
research question asks whether pornography is dierentially associated with sexually
aggressive behavior in published and unpublished reports (RQ10).
Method
Literature search
e literature search was conducted as part of an ongoing eort to archive and
review studies on media and sexual socialization. e search for the current study
was continued until the end of 2014. Electronic database (e.g., Academic Search
Premier, All Academic, Cinahl Complete, Communication & Mass Media Com-
plete,ERIC,GoogleScholar,JSTOR,Medline,ProQuest,PsycINFO,PubMed,and
Sociological Abstracts) and ancestral (e.g., Bauserman, 1996; Flood, 2009; Hald,
Seaman, & Linz, 2014; Kingston et al., 2009; Linz & Malamuth, 1993; Seto, Maric, &
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P. J. Wright et al. Pornography and Sexual Aggression
Barbaree, 2001) searches were used to locate published and unpublished scientic
reports. Searches were conducted by the study’s authors. Aer this compilation eort,
eight leading media and aggression scholars were contacted and asked to identify
omissions.
Criteria for inclusion in the meta-analysis were threefold. First, the study had to
sample from a general population. Sex oender/clinical studies were not included (see
Allen et al., 1999; Seto & Lalumiere, 2010). Second, the study had to measure pornog-
raphyconsumption.Pornographywasdenedassexuallyexplicitmediaintendedto
arouse the consumer (Hald et al., 2010; Seto et al., 2001). Studies that measured expo-
sure to sexually nonexplicit content in mainstream media only were not included.
ird, the study had to assess sexually aggressive behavior. Studies that assessed sex-
ually aggressive beliefs and attitudes only were not included (see Allen et al., 1995b;
Hald et al., 2010). Authors were contacted directly when the search criteria were met
but data necessary to extract an eect size (e.g., zero-order correlations) were not
described in the report (Chang et al., 2014; Gorman, 2014; ompson, Koss, Kingree,
Goree, & Rice, 2010; Williams, Cooper, Howell, Yuille, & Paulhus, 2009; Ybarra,
Mitchell, Hamburger, Diener-West, & Leaf, 2011). Authors were able to provide the
needed information in all but one instance (Harries, 2011). Studies that did not mea-
sure pornography consumption and sexual aggression directly, but instead measured
indirect indicators of pornography exposure (e.g., reductions in legal restrictions to
access) and indirect indicators of sexual aggression (e.g., crime reports) were not
included, as they are not able to inform the question of whether the people consum-
ing the pornography are the ones who are or who are not committing the sexually
aggressive acts.
Studies meeting these criteria are overviewed in Table 1. Twenty-two studies from
21 reports were identied (Seto et al., 2010, reported on two studies, one conducted
in Sweden, the other in Norway).
Moderator coding
Biological sex
Fieenreportseithersampledmalesonlyorreporteddatafromtheirmalesam-
ple only. Six reports sampled and reported on both males and females. One paper
reported on females only.
Age
Five studies’ sample descriptions suggested that all or the majority of their participants
were adolescents (teenagers aged 17 and younger). Seventeen studies’ sample descrip-
tions suggested that all or the majority of their participants were adults (individuals
aged 18 and older).
National/International
Fourteen studies were conducted in the United States and eight studies were con-
ducted internationally.
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Pornography and Sexual Aggression P. J. Wright et al.
Table 1 Overview of Studies in Meta-Analysis
Study
Age of
Sample
Sex of
Sample
Design of
Study
Report
Typ e
Country
of Study
Boeringer (1994) Adult Male Cross-sectional Article United States
Bonino et al. (2006) Adolescent Male and female Cross-sectional Article Italy
Bouard (2010) Adult Male Cross-sectional Article United States
Brown and L’Engle
(2009)
Adolescent Male and female Longitudinal Article United States
Carr and VanDeusen
(2004)
Adult Male Cross-sectional Article United States
Chang et al. (2014) Adolescent Male and female Longitudinal Article Taiwan
Crossman (1994) Adult Male Cross-sectional esis United States
D’Abreu and Krahe
(2014)
Adult Male Longitudinal Article Brazil
Demare et al. (1993) Adult Male Cross-sectional Article United States
Gorman (2014) Adult Male and female Cross-sectional esis United States
Hardit (2013) Adult Male Cross-sectional esis United States
Kennair and Bendixen
(2012)
Adolescent Male and female Cross-sectional Article Norway
Kjellgren et al. (2011) Adult Female Cross-sectional Article Norway and
Sweden
Malamuth et al. (2000) Adult Male Cross-sectional Article United States
Peeks (2006) Adult Male Cross-sectional esis United States
Seto et al. (2010) Adult Male Cross-sectional Article Sweden
Seto et al. (2010) Adult Male Cross-sectional Article Norway
Simons et al. (2012) Adult Male Cross-sectional Article United States
ompson et al. (2010) Adult Male Longitudinal Article United States
Vega and Malamuth
(2007)
Adult Male Cross-sectional Article United States
Williams et al. (2009) Adult Male Cross-sectional Article Canada
Ybarra et al. (2011) Adolescent Male and female Longitudinal Article United States
Pre-/post-Internet
Few studies demarcated pornography found online and oine. As historians have
identied 1995 as an important turning point for popular Internet use (Campbell,
2015; Dominick, Messere, & Sherman, 2008), it was noted if a study was published
in/before or aer 1995. ree studies were published in 1995 or before. In one
instance, Malamuth et al. (2000) published their study aer 1995 but gathered their
data in the 1980s, so this study was included in studies conducted in/before 1995.
us, four studies were identied as “pre” Internet and eighteen as “post” Internet.
Type of pornography
Measures of pornography consumption were classied as violent, nonviolent, and
general. Following prior meta-analyses (Hald et al., 2010; Mundorf et al., 2007), vio-
lent pornography was dened as content depicting sex without consent, with coercive
acts, or with aggressive behavior. As an example of nonconsensual content, Boeringer
(1994, p. 293) asked about men’s exposure to depictions where “force is used and there
is an explicit lack of consent.” As an example of coercive content, Peeks (2006, p. 93)
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P. J. Wright et al. Pornography and Sexual Aggression
asked about men’s exposure to depictions of women “receiving negative treatment”
or being “drunk or on drugs.” As an example of aggressive content, Seto et al. (2010,
p. 222) asked whether men and Kjellgren, Priebe, Svedin, Mossige, and Langstrom
(2011, p. 3357) asked whether women had “ever watched violent pornography.” Eight
studies included measures of violent pornography consumption.
Nonviolent pornography was dened as content depicting consensual sex, without
coercive acts, and without aggressive behavior. Only two studies included measures
that approximated this denition. Demare, Lips, and Briere (1993) asked about men’s
exposure to depictions of “mutually consenting sex” (p. 289) and classied arma-
tive responses as nonviolent pornography exposure. Ybarra et al. (2011, p. 5) asked
about boys’ and girls’ exposure to depictions of individuals being “physically hurt by
another person while they were doing something sexual.” Ybarra et al. classied boys
and girls who indicated consuming pornography, but not being exposed to any depic-
tions featuring violence, as nonviolent pornography consumers.
Fourteen studies included only a general, content nonspecic measure of pornog-
raphy consumption. As one illustration, Simons, Simons, Lei, and Sutton (2012,
p. 384) asked men how oen during the past year they had “viewed an X-rated
movie or visited an X-rated website on the Internet.” As another illustration, Bonino,
Ciairano, Rabaglietti, and Cattelino (2006, p. 272) asked boys and girls how frequently
they had “read or seen pornographic magazines or comics in the last six months and
had watched pornographic lms or videos in the last six months.” While some of
these measures identied particular delivery mechanisms (e.g., website, movie, and
magazine), none of them identied the type of content being delivered (e.g., violent
and nonviolent).
Type of sexual aggression
Following the CDCP (2014), physical sexual aggression was dened as the use or
threat of physical force to obtain sex, and verbal sexual aggression was dened as ver-
ballycoercivebutnotphysicallythreateningcommunicationtoobtainsex,andsexual
harassment. Six studies assessed physical sexual aggression. Kennair and Bendixen
(2012, p. 483), for example, measured boys and girls’ “use of explicit physical force” to
obtain sex. As another example, Crossman (1994, p. 67) assessed if men had “tried to
obtain sexual intercourse through threatening to use physical force” or had “obtained
sexual acts, such as oral or anal intercourse, through using threats or physical force.”
Six studies assessed verbal sexual aggression. As one illustration, Demare et al. (1993,
p. 289) assessed whether men had engaged in verbally coercive tactics with women
such as “threatening to end your relationship” or “pressuring her with continual argu-
ment.” As another illustration, Chang et al. (2014, p. 4) assessed harassing behaviors
amongboysandgirlssuchas“askedsomeonetodosomethingsexualonlinewhen
they did not want to.”
Cross-sectional/longitudinal data
Seventeen studies were cross-sectional and ve were longitudinal.
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Pornography and Sexual Aggression P. J. Wright et al.
Report type
Four reports were unpublished theses and 18 were published journal articles.
Eect size extraction and correction for measurement error
Reports were examined for their eect size estimates. In many instances, the rcor-
relation between pornography use and sexual aggression was reported; however, in
some cases, the correlation had to be estimated through unadjusted odds ratios and
chi-square values. In reports where a 2 ×2contingencytablewaspresented,thelog
odds ratio was rst transformed into Cohen’s dandthenintor.
e eect sizes were corrected for measurement error, which attenuates the maxi-
mum theoretical eect size (Schmidt & Hunter, 2015). Because attenuation can some-
times occur disproportionately across classes of reports, it is particularly important
when testing for moderators to correct for measurement error. e scale reliabil-
ity reported in each study was used in the correction equation for measurement.
e Spearman–Brown formula was used to estimate a case’s reliability when one
was not reported. e single-item alphas used to estimate the reliability were as fol-
lows: pornography consumption (αsingle-item =.42, Mitem =4) and sexual aggression
(αsingle-item =.27, Mitem =6).
Results
Analytic approach
e corrected correlations were summarized using a random-eects model
meta-analysis. Random-eects procedures are based on the assumption that
variation in the true eects exists beyond variation due to sampling error alone
(Anker, Reinhart, & Feeley, 2010; Borenstein, Hedges, Higgins, & Rothstein, 2009;
Hedges & Vevea, 1998). e eect sizes of the relationship between pornography
consumption and sexual aggression are presumed to be normally distributed, and in
accounting for this variation, generalizations can be made beyond the set of studies
included in this meta-analysis (Hedges & Vevea, 1998). To test the potential moder-
ators, mixed-eects model subgroup analyses were conducted. In the mixed-eects
model, a random-eects model is used to estimate the eects within subgroups but a
xed-eect model is used to estimate the variance between subgroups.
Research Question 1: overall association
Eect sizes for 22 cases were extracted from the 21 reports identied in the literature
search (see Table 2). e total number of participants evaluated in the meta-analysis
was 20,820 (males =13,234, females =7,586), with an average of 947 (Mdn =479)
per case. Across the cases, the sample-weighted mean eect size of the association
between pornography use and sexual aggression was positive and signicant, r=.28,
SE =0.01, 95% CI [.24, .32], p<.001, random-eects variance (v)=.007. Accord-
ingly, consumption of pornography was associated with an increased likelihood of
committingactualactsofsexualaggression.
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P. J. Wright et al. Pornography and Sexual Aggression
Table 2 Raw and Corrected Eect Sizes for Studies in Meta-Analysis (N=20,820)
Study NRaw Overall rCorrected Overall
Boeringer (1994) 477 .268 .390
Bonino et al. (2006) 779 .233 .463
Bouard (2010) 325 .180 .201
Brown and L’Engle (2009) 967 .190 .277
Carr and VanDeusen (2004) 99 .300 .382
Chang et al. (2014) 2,268 .135 .218
Crossman (1994) 480 .218 .260
D’Abreu and Krahe (2014) 120 .200 .254
Demare et al. (1993) 383 .153 .283
Gorman (2014) 415 .078 .115
Hardit (2013) 177 .120 .191
Kennair and Bendixen (2012) 1,123 .185 .261
Kjellgren et al. (2011) 4,212 .221 .221
Malamuth et al. (2000) 2,652 .170 .203
Peeks (2006) 154 .230 .291
Seto et al. (2010, Sweden) 1,978 .325 .325
Seto et al. (2010, Norway) 1,971 .304 .304
Simons et al. (2012) 308 .170 .235
ompson et al. (2010) 644 .110 .136
Vega and Malamuth (2007) 102 .480 .655
Williams et al. (2009) 88 .090 .095
Ybarra et al. (2011) 1,098 .384 .427
Research Question 2: biological sex
Research Question 2 asked whether biological sex moderates the association between
pornography consumption and sexual aggression. e mixed-eects model subgroup
analysis did not indicate a moderating eect of biological sex, Qbet(1) =0.24, Zdi =
0.49, p=.62. e average correlation for the 21 cases sampling males (r=.29, 95%
CI [.24, .33], p<.001) did not signicantly dier from the average correlation for the
seven cases that sampled females (r=.26, 95% CI [.18, .34], p<.001).
Research Question 3: age
e question of whether the correlations between pornography consumption and sex-
ual aggression changed as a function of age groups was asked in Research Question
3. e cases were categorized into a group that used adolescent samples and a group
that sampled adults. e results of the subgroup analysis demonstrated that the asso-
ciation between pornography consumption and sexual aggression was not moderated
by age group, Qbet(1) =2.11, Zdi =1.45, p=.15. e mean correlation for the cases
that sampled adolescents (r=.33, 95% CI [.25, .40], p<.001, k=5) did not dier
from the cases that sampled adults (r=.26, 95% CI [.21, .31], p<.001, k=17).
Journal of Communication 66 (2016) 183– 205 © 2015 International Communication Association 193

Pornography and Sexual Aggression P. J. Wright et al.
Research Question 4: national/international
Research Question 4 asked whether a dierence in the average correlations between
pornography consumption and sexual aggression exists between studies conducted
in the United States and those conducted internationally. e international studies (r
=.28, 95% CI [.21, .34], p<.001, k=8) yielded almost the identical mean eect size
as studies conducted in the United States (r=.28, 95% CI [.22, .34], p<.001, k=
14). Accordingly, whether the study was conducted nationally or internationally did
not aect the relationship between pornography consumption and sexual aggression,
Qbet(1) =0.001, Zdi =0.03, p=.97.
Research Question 5: pre-/post-internet
Study year was tested as a possible moderator in Research Question 5. e cases were
grouped into one of two categories: reports released in or before 1995 and reports
made available in or aer 1996. is categorization makes it possible to probe whether
the association between pornography consumption and sexual aggression diered
prior to and aer the adoption of the Internet on a mass scale. e results of the
subgroup analysis demonstrated that year was not a signicant moderator, Qbet (1) =
0.001, Zdi =0.03, p=.97. e average correlation of the four studies conducted prior
to 1995 (r=.28, 95% CI [.17, .37], p<.001) was similar in magnitude to the average
correlation of the 18 studies conducted aer 1996 (r=.28, 95% CI [.23, .33], p<.001).
Research Question 6: nonviolent/violent pornography
e content of the pornography consumed was tested as a moderator of associations
between pornography consumption and sexual aggression in Research Question 6.
Correlations with nonviolent pornography consumption were compared to correla-
tions with violent pornography consumption. Although violent pornography con-
sumption (r=.37, 95% CI [.28, .45], p<.001, k=8) produced a stronger association
on average than nonviolent pornography consumption (r=.27, 95% CI [.07, .45], p=
.008, k=2), the moderation was nonsignicant, Qbet(1) =0.91, Zdi =0.95, p=.34.
Research Question 7: general assessment/violent assessment
Whether indices that assess exposure to violent pornography specically yield
stronger associations than indices that evaluate pornography consumption more
generally was asked in Research Question 7. In the eight cases that measured vio-
lent pornography consumption (r=.37, 95% CI [.28, .45], p<.001), a stronger
sample-weighted mean correlation was reported in comparison to the 14 cases that
measured general pornography consumption (r=.26, 95% CI [.19, .34], p<.001).
is dierence was marginally signicant in the mixed-eects model subgroup
analysis, Qbet (1) =3.34, Zdi =1.83, p=.07.
Research Question 8: type of sexual aggression
Casesthatmeasuredverbalorphysicalsexualaggressionwereidentied.iscat-
egorization was performed to test whether associations between pornography con-
sumption and sexual aggression diered depending on if the aggression was verbal or
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P. J. Wright et al. Pornography and Sexual Aggression
physical in Research Question 8. Pornography consumption was associated with both
verbal (r=.30, 95% CI [.24, .36], p<.001, k=6) and physical (r=.20, 95% CI [.13,
.26], p<.001, k=6) sexual aggression, but the association was signicantly larger for
verbal sexual aggression, Qbet(1) =5.49, Zdi =2.34, p=.02.
Research Question 9: cross-sectional/longitudinal data
Studies that employed a cross-sectional design were compared to studies that used
a longitudinal design in Research Question 9. e design of the study was not a
signicant moderator of the association between pornography consumption and
sexual aggression across the 22 cases, Qbet(1) =0.05, Zdi =0.22, p=.83. e average
cross-sectional correlation (i.e., the correlation of pornography consumption and
sexual aggression at the same data collection: r=.28, 95% CI [.23, .33], p<.001, k
=17)wasnearlyequivalentindirectionandmagnitudetotheaverageprospective
correlation (i.e., the correlation of pornography consumption at an earlier data
collection with sexual aggression at a later data collection: r=.27, 95% CI [.18, .36],
p<.001, k=5).
Research Question 10: report type
e potential moderating eect of report type was tested in Research Question 10.
e cases were categorized into published and unpublished reports. No dierence was
detected by the moderator analysis, Qbet(1) =1.44, Zdi =1.20, p=.23. e average
correlation of published reports (r=.29, 95% CI [.24, .33], p<.001, k=18) did not
dier from the average correlation of unpublished reports (r=.21, 95% CI [.10, .33],
p<.001, k=4).
Discussion
e meta-analysis reported in this article investigated associations between natural-
istic pornography consumption and actual acts of sexual aggression in 22 general
population studies. e results are reviewed and contextualized in the remainder of
the study. Directions for future research are also considered.
Overall association
Associations between pornography consumption and sexual aggression in the general
population can be examined at the aggregate or individual level. Using secondary
statistical indices, the former technique correlates an indirect metric of consumption,
such as the number of pornographic movies available during a particular time
period, with an indirect assessment of sexual aggression, such as government data
on rape during the same time period. Using experimental and survey methods,
the latter technique correlates attributes of individuals’ sexual aggression which
are measured directly with those individuals’ actual patterns of pornography con-
sumption. Because aggregate methods cannot inform the key question of whether
those who consume more pornography dier in their sexually aggressive behavior
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Pornography and Sexual Aggression P. J. Wright et al.
from those who consume less pornography and have to rely on group-level data to
conjecture about individual-level behavior, the vast majority of pornography and
sexual aggression research has been conducted at the individual level (Kingston
& Malamuth, 2011; Malamuth & Pitpitan, 2007). Individual-level data should be
privileged over aggregate-level data when they are available (MacInnis & Hodson,
2015). Accordingly, the results of the present meta-analysis are situated within the
individual-level, general population literature.
Noting continued disagreement about pornography consumption and sexual
aggression, Allen et al. (1995a, 1995b) meta-analyzed experimental studies on
pornography exposure, nonsexual aggression, and ASV. Pornography exposure
was found to have a consistent eect on nonsexual aggression and ASV, resolving
the debate about the reliability of experimental studies (Fisher & Grenier, 1994;
Malamuth et al., 2000). e debate about the validity of pornography experiments
in general, however, remained. Fisher and Grenier, for example, questioned the
information value of experiments, in addition to their consistency. ey argued that
experiments suer from limitations such as subject awareness, selective attrition, and
lack of ecological validity. ey called for “naturalistic studies of the development of
sexually violent behavior” (p. 37). Later, Fisher and Barak (2001, p. 317) noted the
need for “research concerning eects of exposure to sexually explicit materials on
those who choose to consume them.” e only design capable of assessing eects
is the experimental design, and random assignment to conditions is necessary for
a study to be an experiment. Without random assignment, any group dierences
postexposure may be due to self-selection dynamics and preexisting attitudes and
behaviors. Additionally, ethical considerations preclude attempts at sexual aggression
inducement. In sum, experiments cannot make the requested contributions. ey
can only be made by correlational investigations, such as survey studies.
Hald et al.’s (2010) meta-analysis of naturalistic pornography consumption and
ASV was directly related to these calls. is meta-analysis found that higher levels
of pornography consumption were associated with stronger ASV. Fisher, Kohut,
Gioacchino, and Fedoro (2013) were not swayed by these results, however, and
emphasized that sexually aggressive behavior is the chief cause for concern.
e general population studies in the present meta-analysis assessed both
self-selected pornography consumption and actual acts of sexual aggression, aligning
with the requests of prior evaluative commentaries. Although previous meta-analyses
have had far smaller total sample sizes than the present synthesis’ 20,000 plus total
(N=2,040 in Allen et al., 1995a; N=4,268 in Allen et al., 1995b; N=2,309 in Hald
et al., 2010), results were consistent with these earlier summaries in that pornography
consumption was correlated with heightened sexual aggression risk. It is worth
noting that the magnitude of both the overall corrected (r=.28) and uncorrected
(r=.22) associations in the present meta-analysis, which focused on actual acts
of sexual aggression, were larger than the overall association sizes found in prior
syntheses that included a surrogate for sexual aggression risk (r=.13 in Allen et al.,
1995a; r=.10 in Allen et al., 1995b; r=.18 in Hald et al., 2010). It should also be
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P. J. Wright et al. Pornography and Sexual Aggression
noted that the uncorrected correlations for verbal (r=.23, 95% CI [.18, .28], p<
.001) and physical (r=.16, 95% CI [.10, .21], p<.001) sexual aggression were also
signicant.
Association contingencies
Oftheninemoderationtests,sevenwerenull,onewasmarginal,andonewas
signicant. is general lack of moderation is consistent with past meta-analytic
research on pornography and nonsexual aggressive behavior (Allen et al., 1995a)
and media consumption and aggression more generally (Anderson et al., 2010). Yet,
it is suggested that this homogeny of results be viewed tentatively, as Hald et al.’s
(2010) meta-analysis on naturalistic pornography consumption and ASV suggested
thelikelypresenceofmoderatingfactorsandseveralmoderationcomparisonsinthe
present study were based on limited cases or measures. Additional research is needed
before any rm conclusions can be drawn about moderating factors. Given that all
22 studies yielded a positive overall correlation, though, it appears likely that any
dierences found in future research will be more in degree than kind.
Consistent with Allen et al.’s (1995a) meta-analysis of laboratory aggression, bio-
logical sex was not a signicant moderator. Pornography consumption was associ-
ated with an increased likelihood of sexually aggressive behavior for females as well
as males. As men’s arousal to pornography is stronger than women’s (Allen et al.,
2007), this nding aligns with the nding of Mundorf et al. (2007) that arousal to
pornography is not a reliable predictor of its eects on aggression. Rather, pornog-
raphy consumption may aect females’ aggressive behavior due to the observation
of aggressive female models or to identication with male aggressors. Future stud-
ies should test whether pornography consumption is more strongly associated with
females’ verbal sexual aggression than physical sexual aggression (Crick & Grotpeter,
1995) and if pornography consumption more strongly predicts females’ same-sex sex-
ual aggression (e.g., insults and harassment) than males’ same-sex sexual aggression
(Sun et al., 2008). Research is also needed on shis in women’s negative psycholog-
ical reactions to pornography with repeated exposures. Brief exposure studies have
found that women respond more negatively to pornography than men (Allen et al.,
2007) and negative reactions would appear to inhibit the likelihood of a modeling
eect. Pornographic scripts may become normalized with repeated exposures, how-
ever, decreasing negative reactions and increasing the likelihood of script application
(Wright, 2011; Zillmann & Bryant, 1982, 1986).
Age was not a moderating factor. Pornography consumption was associated with
an equivalent likelihood of sexual aggression among adults and adolescents. Adults’
sexually aggressive scripts may be inuenced by pornography due to repeated expo-
sures and the possession of scripts congruent with pornography’s presentation of gen-
dered power. It is important to note, though, that most of the adult samples were
of college students or college-aged students. Because perpetrators of sexual aggres-
sion are generally acquainted with their targets and targets of sexual aggression are
predominantly adolescents and young adults (Felson & Cundi, 2014; Planty et al.,
Journal of Communication 66 (2016) 183– 205 © 2015 International Communication Association 197

Pornography and Sexual Aggression P. J. Wright et al.
2013), this similarity is perhaps not surprising. Interestingly, the weakest association
was found in the study with the oldest sample (Gorman, 2014; average participant age
=46). Future studies should incorporate a wider range of adults so that associations
canbecomparedacrossabreadthofagegroups.
Associations between pornography consumption and sexually aggressive behav-
ior in international studies were not signicantly dierent from those conducted in
the United States. What is clear from this analysis is that the association between
pornography consumption and sexual aggression is not unique to the United States.
What remains unclear is whether the association varies in degree between coun-
tries. e reports available for the present meta-analysis allowed only for a basic
national/international comparison. A variety of countries were represented (e.g.,
Brazil, Italy, Norway, Sweden, and Taiwan), but no more than two studies were
conducted in any country other than the United States. Only when multiple reports
are available within particular countries will a more nuanced analysis be possible.
It has been suggested that the content of pornography found online and novel ele-
ments of the online experience may enhance the eects of Internet pornography. As
few studies dierentiated mechanisms of delivery, a direct comparison of online and
oine pornography consumption was not possible. It was found, however, that asso-
ciations in studies published or conducted before 1995 did not dier from those in
subsequent reports. While this nding does not support the contention of exacerbated
impacts of Internet pornography, it should certainly not discourage researchers inter-
ested in further tests of this hypothesis. Future survey studies on sexually aggressive
behavior can ask specic questions about medium of delivery (Peter & Valkenburg,
2007) and future experiments on sexually aggressive attitudes can manipulate aspects
of users’ experience that mimic online versus oine dynamics (Shim & Paul, 2014).
Violent and nonviolent pornography consumption were each associated with
sexual aggression and the dierence between the associations was not signicant.
Two important points are in order regarding these ndings. First, that nonviolent
pornography consumption was associated with sexual aggression is consistent with
the results of prior meta-analyses (Allen et al., 1995a, 1995b; Hald et al., 2010). Mea-
sures of self-reported nonviolent pornography consumption may predict sexually
aggressive behavior because acts that are indeed violent are not perceived as such
by desensitized consumers (Jensen, 2007) or because content that is nonviolent is
still objectifying and degrading (Wright & Tokunaga, 2015b). Second, caution is
suggestedregardingtheconclusionfromthesendingsthatpornographywithvio-
lence is no more impactful on the likelihood of sexual aggression than pornography
without violence. Although the dierence was not statistically signicant, the violent
pornography association was stronger (rΔ=.10) than the nonviolent pornography
association. Signicance tests are impacted by sample size, and only two studies
assessed nonviolent pornography consumption— the smallest comparison group
inthemeta-analysis.Additionally,descriptionsofthepornographymeasuresthat
authors called “nonviolent” did not clearly indicate whether each met all the criteria
of nonviolence: fully consensual sex without any coercion or any aggressive behavior.
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P. J. Wright et al. Pornography and Sexual Aggression
e comparison between general, content nonspecic measures of pornography
consumption and measures of violent pornography consumption is informative of
this question. Although the dierence between the violent and content nonspe-
cic associations was similar to the dierence between the violent and nonviolent
associations (i.e., violent association .11 stronger than the content nonspecic asso-
ciation), the former comparison involved more cases and was marginally signicant.
If the content of pornography was uniform or irrelevant to an eect, it appears
unlikely that these patterns would emerge in the data. Taken together with research
that has found signicant nonviolent/violent dierences (Hald et al., 2010) and
content analyses of popular pornography (Bridges et al., 2010; Sun et al., 2008), it
appears most likely that (a) the level of violence, degradation, and objectication
matters, but (b) the pornography consumed by the average individual contains
enoughoftheseelementsthatitisassociatedwithanelevatedlikelihoodofsexual
aggression. Future studies should be comprehensive and explicit when dening
and measuring pornography labeled as “nonviolent,” and should evaluate whether
nonaggressive, nondegrading, nonobjectifying pornography is so infrequently con-
sumed that its existence is largely irrelevant to discussions of pornography’s social
impact.
Pornographyconsumptionwasassociatedwithbothverbalandphysicalsexual
aggression, but the association was stronger for verbal sexual aggression. It is impor-
tant to emphasize, however, that sexual harassment can be extremely damaging and
verbal coercion to obtain sex, even without the threat of physical force, is still an act
of sexual violence (CDCP, 2014). It is also important to reiterate that the association
for physical sexual aggression, although smaller than the association for verbal sexual
aggression, was still positive and signicant. Pornography consumption was associ-
ated with an increased probability of the use or threat of force to obtain sex. Future
studies should more frequently demarcate dierent types of sexual aggression and
investigate the circumstances under which pornography consumption is most likely
to correlate with each type.
Pornography consumption was associated with sexually aggressive behavior in
both cross-sectional and longitudinal studies. e signicant average association in
longitudinal research, along with the ndings of individual longitudinal studies in the
meta-analysis, does not support the position that pornography– sexual aggression
associationsaresimplyduetosexuallyaggressiveindividualswatchingcontentthat
conforms to their already established aggressive sexual scripts (Fisher et al., 2013).
Brown and L’Engle (2009), for example, found that pornography consumption
predicted boys’ later sexual aggression even aer controlling for their earlier sexual
aggression. Relatedly, D’Abreu and Krahe (2014) found that prior sexual aggression
was a poor predictor of later pornography use.
Finally, the possibility that signicant pornography–sexual aggression asso-
ciations are due to publication bias was not supported. Pornography consump-
tionwasassociatedwithsexualaggressioninbothpublishedandunpublished
reports.
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Pornography and Sexual Aggression P. J. Wright et al.
Implications for theory
Assessing the magnitude and direction of the association between pornography con-
sumption and sexually aggressive behavior has been the primary goal of naturalistic
studies to date. Most studies are guided by the overall question of whether sexual
mediaareasourceofsociallearning,asopposedtotestingspecicelementsofmod-
els developed to explain the role of pornography in sexual aggression specically (e.g.,
the conuence model of sexual aggression) or the mechanisms, pathways, and mod-
erators operable in sexual media eects on sexual behavior more generally (e.g., the
sexual script acquisition, activation, application model of sexual media socialization,
or 3AM). is limits the theoretical implications that can be drawn from the results
of the present meta-analysis. Nevertheless, several of the aggregated results, results
from individual studies, and results from related studies can be used to broach the
following points for theory development consideration.
First,theextantdatawouldnotsupportatheorypostulatinginherentsexdier-
ences in the eects of pornography on aggression. Predictions of gender dissimilarity
would have to be based on dierentiating proximal factors as opposed to uniform bio-
logical variance. Second, while there are certainly developmental dierences between
adolescents and emerging adults, the extant data would not support a theory pre-
dicting that these dierences lead to one group or the other being more or less sus-
ceptibletotheeectsofpornographyonsexualaggression.ird,theextantdata
would not support a catharsis theory of violent pornography and sexual aggression.
From a catharsis perspective, individuals who consume violent pornography purge
their sexually aggressive inclinations vicariously, reducing their likelihood of manifest
sexualaggression.Withoutsuchanoutlet,individualswhodonotconsumeviolent
pornography become more likely to enact their aggressive inclinations on real-life
victims. Contrary to the catharsis perspective, violent pornography consumers were
more—notless—likelytocommitactualactsofsexualaggression.Fourth,thend-
ing that pornography consumption was more strongly associated with verbal than
physical sexual aggression would support a theory hypothesizing that the disinhibit-
ing eects of pornography will be stronger for behaviors that individuals perceive as
less antisocial or that are associated with less severe penalties.
Fih, although the studies taken together did not allow for a meta-analytic
test of personal attributes, the results of a few individual studies included in the
meta-analysis did indicate the importance of individual dierences. Future stud-
ies should more frequently assess characteristics that are associated with sexual
aggression and report zero-order correlations for groups at diering levels of risk
(Hald, Malamuth, & Lange, 2013; Kingston et al., 2009). is will allow for a better
understanding of the individual dierences that interact with pornography exposure
tomoststronglyincreasethelikelihoodofsexualaggression.reespecicattributes
suggested by prior research are an impersonal orientation toward sex, a hostile
approach to gender relations, and a disagreeable personality. Both naturalistic and
experimental research indicate that associations between pornography consumption
and sexually aggressive behavior are likely higher when these attributes are present
200 Journal of Communication 66 (2016) 183– 205 © 2015 International Communication Association

P. J. Wright et al. Pornography and Sexual Aggression
(Hald & Malamuth, 2015; Malamuth, Hald, & Koss, 2012; Malamuth & Pitpitan,
2007; Malamuth et al., 2000; Vega & Malamuth, 2007).
Conclusion
Meta-analyseshavenowfoundthatpornographyconsumptionaectsnonsexual
aggression and ASV in laboratory studies and is correlated with ASV and sexually
aggressive behavior in naturalistic studies. As with all behavior, sexual aggression
is caused by a conuence of factors and many pornography consumers are not
sexually aggressive. However, the accumulated data leave little doubt that, on the
average, individuals who consume pornography more frequently are more likely to
hold attitudes conducive to sexual aggression and engage in actual acts of sexual
aggression than individuals who do not consume pornography or who consume
pornography less frequently.
It is acknowledged that the results of the present meta-analysis will not change
the minds of those committed to the position that pornography cannot aect sex-
ual aggression (see Linz & Malamuth, 1993; Malamuth & Pitpitan, 2007). e eld
will have to accept a “weight of evidence” approach to evaluation as opposed to a
“consensus among scholars” approach. Following the call of Malamuth et al. (2000)
for a meta-analysis of naturalistic pornography consumption and sexually aggres-
sive behavior in general population samples, the present synthesis contributes to the
weight of the evidence.
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