Porn Statistics: 20 Key Facts on Trends & Impact

This is the most comprehensive meta-study on porn statistics ever made.

It is a complete mapping of the most objective and factually accurate statistics on pornographic use, prevalence, porn addiction, demographic differences, porno among youth, and much more.

The dataset has been aggregated from years of scientific studies of porn. We have collected survey data, data from case studies, mappings of porn prevalence, website statistics, and porn addiction data, and made all of this freely available.

This article will guide you through:

Key Results

  • General Statistics: 46 million US adults watch pornography online, and 75.8% of Americans have watched porn at some point.
  • Exposure Among Youth: 93% of boys and 62% of girls are exposed to porn in some form before turning 18.
  • Gender Differences: Men are four times more likely to have watched porn in the last month compared to women (44% of men vs. 11% of women).
  • Involuntary Exposure: 42.3% of women who have seen porn did not look for it intentionally.
  • Porn for Education: Nearly 40% of men and 21% of women have watched porn to learn about sex.
  • Porn Addiction: 10% of Americans show signs of porn addiction, with more than 200,000 diagnosed as porn addicts.
  • Frequency of Watching: 87% of men aged 18-35 watch porn weekly.
  • Global Reach: More than 5.81 billion people visit porn sites globally each month.
  • Video Consumption: 165 billion porn videos were watched in the past year globally.
  • Age of First Exposure: The average child is exposed to porn at age 14.
  • Reasons for Viewing: The top reasons for viewing porn include sexual excitement (69.3% of men) and curiosity about different sexual activities.
  • Effects of Porn: Exposure to porn can lead to negative outcomes like sexual deviancy, sexual perpetration, distorted views of intimate relationships, and rape myth acceptance.
  • Sexual Satisfaction: There is no significant relationship between porn consumption and sexual satisfaction or body satisfaction.
  • State-by-State Consumption: Louisiana, Mississippi, and Florida are the top porn-watching US states.
  • Viewing Duration: 75% of people spend on average 24 minutes watching porn per week.
  • Internet Usage: 35% of all internet downloads are porn-related, and 13% of all websites are porn-related.
  • Pornhub Statistics: 98% of Pornhub videos feature a white female, and male actors are more likely to receive oral sex and achieve orgasm compared to women.
  • Economic Impact: The porn industry is worth more than $100 billion, with significant individual and societal costs.
  • Religious Views: Various Christian denominations officially oppose pornography.
  • Sex Trafficking: There is a close relationship between sex trafficking and the porn industry, especially in sex-chatting and camgirls.

How Many People Watch Porn?

  • 46 million US adults watch porn frequently online.
  • In the US, 32,497 people watch porn right now.
  • 75.8% of Americans have at one point watched porn online.
  • 1 in 4 Americans have watched porn online in the past month.
  • 88-97.4% of American men report that they have at one point watched porn.
  • 82.7% of American women report that they have at one point watched porn.
  • Every month more than 5.81 billion people visit porn sites globally (statistics from just the top 3 sites).
  • 165 billion porn videos were watched in the past year – more than 33 videos per adult in the world.
  • 17.8 trillion hours of porn is consumed every year globally (equivalent to one person watching porn for more than 20,000 centuries non-stop).
  • 84% of Americans have seen pornographic films that have been on TV or rented.
  • 82% of Americans have seen pornographic magazines.
  • 93% of boys are exposed to porn in some form before they turn 18.
  • 62% of girls are exposed to porn in some form before they turn 18.

Men vs. women

  • Men are four times more likely to have watched porn in the last month compared to women (44% of men vs. 11% of women).
  • 42.3% of women who have seen porn did not look for it intentionally (meaning they were exposed without wanting to).
  • Only 16.8% of women have watched porn for the sexual excitement.
  • Women are much more likely than men to read written porn, or listen to erotica.
  • Women are much more likely to visit porn chat rooms, compared to men.
  • 1 out of every 3 visitors to porn sites are women.
  • The average man watched porn for the first time at a younger age (14.3 years old) compared to women (14.8).
  • 65% of men report to watch porn at least once per week, compared to just 18% of women.
  • 70% of women who watch porn have never told anyone.
  • 20% of men report that they have watched porn at work, compared to just 13% of women.
  • Women who watch porn self-report to have better sex.

Growth in the percentage who report to have watched porn

  • Today, more than 75.8% have seen porn in the US. In 1950 only 8% reported to have seen porno.

The question is if this has always been the case. As porn has become more accessible we have also seen an increase in the percentage of the population that has been exposed to porn.

The decline among the younger generation – a downward trend

The finding indicates that there is less interest in porn in the general population compared to previous centuries.

This is also obvious from looking at Ngrams (relative word frequency in writings) of the word “porno”.

porno statistics trending downard in recent years

We also see this trend in the search interest over time (search interest available for the past 10 years).

search interest for porno in last 10 years

Age and porn use

  • 93.2% of young boys are exposed to porn before they turn 18.
  • 62.1% of young girls are exposed to porn before they turn 18.
Exposure to online pornBoysGirls
Yes, Before 1893.2%62.1%
Yes, After 184.2%20.6%
Never 2.6%17.3%
Have seen porn, Ever97.4%82.7%

From the study, here is the breakdown of when boys and girls are first exposed to porn.

The average child is exposed to porn at age 14.

Age at first exposure to pornBoysGirls
8 years old0.6%0.0%
9 years old0.7%0.0%
10 years old0.5%0.5%
11 years old1.7%1.0%
12 years old10.9%7.7%
13 years old16.0%15.3%
14 years old21.1%12.4%
15 years old22.9%22.5%
16 years old20.0%33.0%
17 years old5.7%7.7%
Average age at first exposure to porn14.3 years old14.8 years old

Why do people watch porn?

When asked why people have watched porn the answers were the following:

Reasons for viewing Internet pornographyMenWomen
Wanted the sexual excitement69.3%16.8%
Curious about different things people do sexually53.1%26.1%
Wanted information about sex39.7%19.5%
With friends who wanted to do it34.1%20.8%
Never looked for pornography on purpose6.8%42.3%

Most noticeably:

  • 69.3% of men report to watch porn for sexual excitement.
  • 42.3% of women report that they watched porn without it being on purpose (involuntary exposure).
  • 1 in 3 men, and 1 in 5 women have watched porn due to peer pressure (because friends wanted to watch it).
  • Almost 40% of men watched porn to learn about sex, while 21% of women did the same.

Porn Addiction

  • 10% of Americans report to have a problematic relationship with porn (similar to signs of porn addiction)
  • More than 200,000 Americans are diagnosed porn addicts.
  • Sex addiction often leads to excessive porn use, and 12 million Americans suffer from this addiction.
  • Porn addiction is often accompanied by other addictions or mental health issues.
  • Porn addiction is referred to in science as Problematic Pornography Use (PPU).
  • Some estimates show that between 5 to 8% of the adult American population is addicted to pornography.
  • Around 18% of porn users report to have watched porn at work.

10 signs of porn addiction

  1. You are not able to hold off from watching porn in a pre-determined time frame.
  2. You experience cravings and feelings of wanting more.
  3. You are lost about time and place.
  4. You lose interest in sex and find porn more inviting.
  5. You lose attraction to real-life partners.
  6. You develop more demands in your sex life – and start projecting what you see.
  7. Physical pain from masturbation.
  8. You spend larger amounts of money on feeding your addiction.
  9. You think of porn at inconvenient times.
  10. You become more angry.

Treatments

  • Psychotherapy
  • Relationship counseling
  • Medication
  • Lifestyle changes

Effects of exposure to porn

Out of the 64 peer-reviewed scientific studies, we found that exposure to porn had statistically significant effects on four different negative outcomes.

The studies we examined looked at:

  • Sexual Deviancy: non-normative sexual behaviors such as early age of first intercourse, and excessive or ritualistic masturbation.
  • Sexual Perpetration: aggressive, sexually hostile, and violent behaviors.
  • Intimate Relationships: perceptions of dominance, submission, courtship, sex role stereotyping, or viewing persons as sexual objects.
  • Rape Myth: women cause rape, should resist or prevent it, and rapists are normal.

The overall finding is that exposure to porn produces substantially significant negative outcomes in different aspects of the person’s sexual life and understanding.

  • People who frequently watch porn are 37% more likely to have sex for the first time at an early age
  • People who frequently watch porn are 37% more likely to masturbate in excessive and/or ritualistic ways.
  • People who frequently watch porn are 22% more likely to be more aggressive, hostile, and violent during sex.
  • People who frequently watch porn are 24% more likely to perceive intimate relationships from a dominant-submissive perspective, sexual objectification, and stereotyping.
  • People who frequently watch porn are 31% more likely to shift blame on rape victims.
Effects of exposure to pornStudiesN% increase
Sexual Deviancy114,45037%
Sexual Perpetration343,76022%
Intimate Relations92,17024%
Rape Myth101,94331%

Effects on sexual satisfaction and body satisfaction

In another meta-study, we used an aggregated 46,524 respondents answers on porn consumption and sexual satisfaction. We also looked at the relationship between porn consumption and body satisfaction from 12,427 respondents.

The results showed:

  • There is no statistically significant relationship between porn consumption and how satisfied you are sexually.
  • There is no statistically significant relationship between porn consumption and how satisfied you are with your body.

In other words… Porn consumption does not effect sexual satisfaction or satisfaction with a persons own body in any way.

What State Watches The Most Porn (State-By-State Comparison)

To find out which US states watch the most porn we used 4 different methods. Additionally, we made sure to collect the most up-to-date data with each of these methods. Currently, other state-by-state rankings use age-old data that is readily available in newer versions. Therefore, this is the most recent and up-to-date rankings of the US states where porn is most prevalent, and the state where porn is least prevalent.

The first step was listing the top 10 states and the lowest-ranking state by each method. This can be seen underneath:

RankPornhub (2022)Google Trends (2022-23)NFSS (2012)Paid subscriptions
1 (highest)AlabamaTexasNevadaUtah
2LouisianaNew JerseyMississippiAlaska
3South CarolinaRhode IslandTennesseeMississippi
4MissouriFloridaKansasHawaii
5ArkansasNevadaMissouriOklahoma
6MississippiMarylandWyomingArkansas
7North CarolinaDelawareWashingtonNorth Dakota
8GeorgiaNew MexicoOklahomaLouisiana
9KentuckyNew YorkIllinoisFlorida
10IndianaLouisianaIndianaWest Virginia
 – – – – –
41 (10th lowest)OhioMinnesotaNew HampshireNew Hampshire
42WashingtonMissouriNew JerseyMichigan
43South DakotaOhioVirginiaWyoming
44DelawareMichiganNew YorkConnecticut
45OregonNew HampshireIdahoDelaware
46MinnesotaWest VirginiaNew MexicoNew Jersey
47VirginiaMontanaColoradoOregon
48District of ColumbiaAlaskaVermontOhio
49ColoradoVermontUtahTennessee
50UtahMaineDelawareMontana
Note: 1) “Pornhub” – data is collected from the public datasets made freely available by pornhub. It does not show a full representation of the total demographic as some states might be bigger users of other platforms than others. 2) “Google trends” use search intention data made in Google on porn search terms to determine the relative frequency of porn search state-by-state. 3) “NFFS” is an older dataset on public broadband connection and data transfers, that is neither reliable (due to cell-phone data) nor available to collect in recent years. 4) “Paid subscriptions” are a private dataset on porn subscriptions collected by the Research Center and anonymized for sharing purposes.

What the dataset showed is that we can reliably determine the top 3 most porn-consuming US states and the 3 least porn-consuming US states.

Top 3 most porn-watching US States are Louisiana, Mississippi, and Florida.

  1. Louisiana
  2. Mississippi
  3. Florida
  4. Nevada
  5. Oklahoma
  6. Arkansas
  7. Indiana

The top 3 least porn-watching US states are Ohio, New Hampshire, and Delaware.

  1. Ohio
  2. New Hampshire
  3. Delaware
  4. Virginia
  5. Colorado
  6. Oregon
  7. Minnesota
  8. Michigan
  9. Montana
  10. Vermont

The more specific reasoning for why we chose to show all 10 for the lowest rankings, and the highest 7 for the top porn-consuming state rankings can be found in how we calculated the rankings from the meta-study.

We used the occurrences in each calculating method and made a system that also redacted points for any double placement (in both lowest and highest).

US StatesHighest occurrences ↓Lowest occurrences ↑
Louisiana30
Mississippi30
Florida20
Nevada20
Oklahoma20
Arkansas20
Indiana20
Texas10
Rhode Island10
Maryland10
Georgia10
Alabama10
Kentucky10
Kansas10
North Carolina10
South Carolina10
Illinois10
North Dakota10
Hawaii10
California00
Nebraska00
Massachusetts00
Arizona00
Pennsylvania00
Iowa00
Wisconsin00
Missouri21
New Mexico11
New York11
Tennessee11
Washington11
Wyoming11
West Virginia11
Alaska11
Connecticut01
District of Columbia01
Idaho01
South Dakota01
Maine01
New Jersey12
Utah12
Virginia02
Colorado02
Oregon02
Minnesota02
Michigan02
Montana02
Vermont02
Delaware13
Ohio03
New Hampshire03

How often do people watch porn?

Some estimates reveal that 30% of the internet is dominated by porn. So, extrapolating from that, how much time and how often would people then be watching that 30% of the internet?

  • 25% of people say that they watch porn “every few days”
  • 64% of people say that they watch porn “at least once a week”
  • 8% of people say that they watch porn “once a month or less”
  • 20% of men, and 13% of women have watched porn at work – meaning they couldn’t wait to get home to watch it.
  • 13% of all online searches are for porn.
  • 87% of men between 18-35 report to watch porn weekly.

How much time do people spend when watching porn?

  • 75% of people spend on average 24 minutes watching porn per week.
  • 11.8% of people spend on average 118 minutes watching porn per week.

How much time do people spend per visit:

MinutesPercent of porn visitors
0-5 minutes52%
5-10 minutes18%
10-20 minutes16%
20-30 minutes6%
30-60 minutes5%
1-2 hours1%
2+ hours0.2%

However, other men are typically more avid porn users. Additionally, there is a massive difference between single men and coupled men:

  • Single guys report they average two hours a week (three weekly visits of 40 minutes each).
  • Coupled men report that they average 34 minutes a week (1.7 weekly visits of 20 minutes).
  • On average men watch porn between 5 and 17 minutes a day.

How many porn videos are on the internet?

  • More than 55,000 gigabytes of porn are uploaded every minute.
  • 17 of the top 100 most visited websites in the world are porn.
  • Most porn sites average 200 TB of video data.
  • It is estimated that 164 million unique porn videos are uploaded and published by all the porn sites in the world.
  • The world has the equivalent amount of porn videos to if 1 in 8 couples made one video each.
  • 13,000 adult videos are produced in public records annually (not accounting for amateur videos and productions). In the same timeframe, Hollywood makes around 500 movies.

What percentage of the internet is porn?

  • 35% of all internet downloads are porn related.
  • 13% of all websites are porn related.
  • 98% of the internet is at maximum 3 link clicks away from a porn site.

Pornhub statistics

In another study, the research Center did we investigated Pornhub videos and the contents of that specific site. You can find all the statistics in our Pornhub statistics article.

Some of the quick facts from that article are:

  • 98% of Pornhub videos feature a white female and only 16% feature women of other colors.
  • Male porn actors are 3 times more likely to receive oral sex compared to women.
  • Male porn actors are more than 7 times more likely to get an orgasm compared to women.
  • 1 in 3 videos on Pornhub are violent.
  • The 100 most popular videos have an average of 65.41 million views.
  • 50% of Pornhub videos are incestuous (title or video content).
  • The most popular video on pornhub has 230 million views and the least popular has a total of 40.1 million views.
  • The average length of the top 100 most popular porn videos is 14 minutes and 8 seconds. The longest is 39 minutes and 50 seconds, and the shortest is 4 minutes and 33 seconds.

Countries that watch the most porn

  • 60% of porn sites are hosted in the US, while the Netherlands hosts 26%.

The top 3 porn watching countries measured on how much time they spent is:

  1. In the Philippines they spend on average 11 minutes and 31 seconds per porn site visit.
  2. In Japan they spend on average 10 minutes and 3 seconds per porn site visit.
  3. In France they spend on average 10 minutes and 2 seconds per porn site visit.

The top 3 porn-watching countries measured as monthly searches on porn sites:

  • Unites States with more than 68 M monthly searches.
  • The United Kingdom with more than 16 M monthly searches.
  • The Philippines with with more than 9M monthly searches.
CountryAverage time spent per visit ↓Searches /moMost viewed category
Philippines  11 min 31 sec9.1MJapanese
Japan  10 min 3 sec1.8MJapenese
France  10 min 2 sec4.1MLesbian
Netherlands  9 min 59 sec2.7MLesbian
Ukraine  9 min 53 sex0.6MReality
United Kingdom  9 min 52 sec16.6MLesbian
Poland  9 min 51 sec2.2MLesbian
Germany  9 min 49 sec6.1MAnal
Canada  9 min 48 sec9.1MLesbian
United States  9 min 44 sec68.0MEbony
Italy  9 min 43 sec3.4MLesbian
Argentina  9 min 40 sec0.8MLesbian
Australia  9 min 32 sec6.1MLesbian
Brazil  9 min 26 sec2.7MTransgender
Colombia  9 min 20 sec0.6MLesbian
Mexico  9 min 16 sec3.4MLesbian
Spain  9 min 9 sec1.8MLesbian
Chile  9 min 7 sec0.6MAnal
Sweden 9 min 4 sec1.8MAnal
Russia  8 min 13 sec0.7MRussian

Cost of Porn to Society

It is estimated that the porn industry is worth more than $100 billion. But this does not account for all the personal and health costs associated with the production of the +$100 billion industry.

However, it does bring individual costs for people purchasing porn – approximately $3,000 is spent every second on porn.

It is impossible to account for the actual economic costs, but a few studies suggest individual and societal costs that are non-quantifiable:

  • Sexual stereotypes gets reinforced.
  • Form and reinforcing unhealthy and sexist views on women.
  • Condones violence against women.
  • Higher rates on sexual dysfunction in men.
  • Increase in sexual risk-taking.
  • Lower self-esteem.
  • Porn addiction.
  • Increased marriage failure rate.

Christianity and religion

  • Christians base their views on pornography “the Expounding of the Law”, which is in Matthew 5:27–28.
    • Catholics use the same, Matthew 5:27–28, to argue for why porn is banned in their religion.
  • Protestantism, Lutheranism, and Calvinism all officially oppose pornography – however, most practitioners have a more sectarian view on the matter.

Sex trafficking and porn

Sex trafficking and porn are often closely related as adult stars have been known to be sex trafficked. That is especially prevalent in sex chatting and among camgirls. All this data can be found in our sex trafficking statistics.

Other facts about the porn industry

  • The porn industry is one of the most profitable industries in the world.
  • The porn industry also makes more money than NFL, NBA and MLB combined OR more than NBC, CBS, and ABC combined.
  • North Korea has the death penalty for watching porn.
  • Male porn stars on average make 3 times more money doing gay porn.
  • Men focus more on the porn-stars faces than any other body part (butt, breasts, legs, etc.).
  • “Sex” is the fourth most search keyword on google, with “porn” being number 6.
  • The online interest in “Teen Porn” has tripled in the recent 8 years.
  • The US is the largest producer of hardcore pornographics.
  • There is a significant positive correlation between narcissism and porn consumption.
  • 1 in 6 people have used a public WiFi to watch porn.
  • 57% of Americans does not find porn morally acceptable.

References

  1. Allen, M., D’Alessio, D., Brezgel, K. (1995). A meta-analysis investigating the effects of pornography II: Aggression after exposure. Human Communication Research, 22, 258-283.
  2. Amelang, M., & Pielke, M. (1992). Effects of erotica upon men’s and women’s loving and liking responses for their partners. Psychological Reports, 71, 1235–1245.doi:10.2466/pr0.1992.71.3f.1235
  3. American Psychological Association (2007). Report of the APATask Force on the sexualization of girls. Washington, DC: American Psychological Association.
  4. Anker, A. E., Reinhart, A. M., & Feeley, T. H. (2010). Meta-analysis of meta-analyses incommunication. Communication Quarterly, 58, 257–278. doi:10.1080/01463373.2010
  5. Babbie, E. (2004). The practice of social research. Belmont, CA: Thomson.
  6. Baron, L. & Straus, M.A. (1987). Four theories of rape: A macrosociological analysis. Social Problems, 34, 467- 489.
  7. Baron, L. (1990). Pornography and gender equality: An empirical analysis. Special Issue: II. Feminist perspectives on sexuality. Journal of Sex Research, 27, 363-380.
  8. Baron, R.A. & Bell, P.A. (1977). Sexual arousal and aggression by males: Effects of type of erotic stimuli and prior provocation. Journal of Personality and Social Psychology, 35, 79-87.
  9. Baron, R.A. (1974). The aggression-inhibiting influence of heightened sexual arousal. Journal of Personality and Social Psychology, 30, 318-322.
  10. Baron, R.A. (1979). Heightened sexual arousal and physical aggression: An extension to females. Journal of Research in Personality, 13, 91-102.
  11. Bergen, R., & Bogle, K. (2000). Exploring the connection between pornography and sexual violence. Violence and Victims, 15, 227-234.
  12. Boeringer, S.B. (1994). Pornography and sexual aggression: Associations of violent and nonviolent depictions with rape and rape proclivity. Deviant Behaviour, 15, 289-304.
  13. Borenstein, M., Hedges, L. V., Higgins, J., & Rothstein, H. R. (2009). Introduction tometa-analysis. West Sussex, England: John
  14. Bridges, A. J., & Morokoff, P. J. (2011). Sexual media use and relational satisfaction inheterosexual couples. Personal Relationships, 18, 562–585.doi:10.1111/j.1475-6811.2010.01328.x
  15. Bridges, A. J.,Wosnitzer, R., Scharrer, E., Sun, C., & Liberman, R. (2010). Aggression and sexual behavior in best-selling pornography videos: A content analysis update. Violence Against Women, 16, 1065–1085. doi:10.1177/1077801210382866
  16. Briere, J., Henschel, D., & Smiljanich, K. (1992). Attitudes toward sexual abuse: Sex differences and construct validity. Journal of Research in Personality, 26, 398-406.
  17. Briere, J., Malamuth, N., & Check, J.V.P. (1985). Sexuality and rape-supportive beliefs. International Journal of Women’s Studies, 8, 398-403.
  18. Brooks, G. (1995). The centerfold syndrome. San Francisco, CA: Jossey-Bass.
  19. Brosius, H. B.,Weaver, J. B., & Staab, J. F. (1993). Exploring the social and sexual reality ofcontemporary pornography. Journal of Sex Research, 30, 161–170.doi:10.1080/00224499309551697*
  20. Brown, C. (2014). Me, you, and porn: A common-fate analysis of pornography use andsexualsatisfaction among married couples. Retrieved from ProQuest DissertationDatabase.
  21. Burgess, A.W., Hartman, C.R., McCausland, M.P., & Powers, P. (1984). Response patterns in children and adolescents exploited through sex rings and pornography. American Journal of Psychiatry, 141, 656-662.
  22. Bushman, B. J., & Huesmann, L. R. (2014). Twenty-five years of research on violence in digitalgames and aggression. European Psychologist, 19, 47–55. doi:10.1027/1016-9040/a000164
  23. Buzzell, T. (2005). Demographic characteristics of persons using pornography in three technological contexts. Sexuality & Culture. 9, 28-48. http://dx.doi.org/10.1007/BF02908761
  24. Cantor, J.R., Zillmann, D., & Einsiedel, E.F. (1978). Female responses to provocation after exposure to aggressive and erotic films. Communication Research, 5, 395-411.
  25. Carneiro, H. A., & Mylonakis, E. (2009). Google trends: A web‐based tool for real‐time surveillance of disease outbreaks. Clinical Infectious Diseases, 49, 1557-1564. http://dx.doi.org/10.1086/630200
  26. Carvalheira, A., Træen, B., & Stulhofer, A. (2015). Masturbation and pornography useamong coupled heterosexual men with decreased sexual desire: How many roles ofmasturbation? Journal of Sex & MaritalTherapy, 41, 626–635. doi:10.1080/0092623X.2014.958790
  27. Chapin, J. (2001). It won’t happen to me: The role of optimistic bias in African Americanteens’ risky sexual practices. Howard Journal of Communication, 12, 49–59.doi:10.1080/10646170119661
  28. Cheung, M.W.-L. (2014). Modeling dependent effect sizes with three-level meta-analyses: Astructural equation modeling approach. Psychological Methods, 19, 221–229.doi:10.1037/a0032968
  29. Cheung, S. F., & Chan, D. K.-S. (2008). Dependent correlations in meta-analysis: The case ofheterogeneous dependence. Educational and Psychological Measurement, 68, 760–777.doi:10.1177/0013164408315263
  30. Cheung, S. F., & Chan, D. K.-S. (2014). Meta-analyzing dependent correlations: An SPSSmacro and an R script. Behavior Research Methods, 46, 331–345.doi:10.3758/s13428-013-0386-2
  31. Choi, H., & Varian, H. (2012). Predicting the present with Google trends. Economic Record, 88(s1), 2-9. http://dx.doi.org/10.1111/j.1475-4932.2012.00809.x
  32. Cooper, A. (1998). Sexuality and the internet: Surfing into the new millennium. CyberPsychology & Behavior, 1, 187-193. http://dx.doi.org/10.1089/cpb.1998.1.187
  33. Corne, S., Briere, J., & Esses, L.M. (1992). Women’s attitudes and fantasies about rape as a function of early exposure to pornography. Journal of Interpersonal Violence, 7, 454-461.
  34. Daneback, K., Traeen, B., &Mansson, S. A. (2009). Use of pornography in a random sampleof Norwegian heterosexual couples. Archives of Sexual Behavior, 38, 746–753.doi:10.1007/s10508-008-9314-4
  35. Davis, K.E. & Braucht, G.N. (1973). Exposure to pornography, character, and sexual deviance: A retrospective survey. Journal of Social Issues, 29, 183-196.
  36. Demare, D., Briere, J., Lips, H.M. (1988). Violent pornography and self-reported likelihood of sexual aggression. Journal of Research in Personality, 22, 140-153.
  37. Demare, D., Lips, H.M., & Briere, J. (1993). Sexually violent pornography, anti-women attitudes, and sexual aggression: A structural equation model. Journal of Research in Personality, 27, 285-300.
  38. Donnerstein, E. & Barrett, G. (1978). Effects of erotic stimuli on male aggression toward females. Journal of Personality and Social Psychology, 36, 180-188.
  39. Donnerstein, E. & Berkowitz, L. (1981). Victim reactions in aggressive erotic films as a factor in violence against women. Journal of Personality and Social Psychology, 41, 710-724.
  40. Donnerstein, E. & Hallam, J. (1978). Facilitating effects of erotica on aggression against women. Journal of Personality and Social Psychology, 36, 1270-1277.
  41. Donnerstein, E. (1980). Aggressive erotica and violence against women. Journal of Personality and Social Psychology, 39, 269-277.
  42. Doran, K. (2010). Industry size, measurement, and social costs. In M. Eberstadt & M. A. Layden (Eds.), The social costs of pornography: A collection of papers. Princeton, NJ: The Witherspoon Institute.
  43. Doran, K., & Price, J. (2014). Pornography and Marriage. Journal of Family and Economic Issues, 35, 489-498. http://dx.doi.org/10.1007/s10834-014-9391-6
  44. Duggan, S. J., & McCreary, D. R. (2004). Body image, eating disorders, and the drive formuscularity in gay and heterosexual men:The influence of media images. Journal ofHomosexuality, 47, 45–58. doi:10.1300/J082v47n03_03*
  45. Edelman, B. (2009). Markets: Red light states: Who buys online adult entertainment? Journal of Economic Perspectives, 23(1), 209-220. http://dx.doi.org/10.1257/jep.23.1.209
  46. Emmers-Sommer, T., Hertlein, K., & Kennedy, A. (2013). Pornography use and attitudes:An examination of relational and sexual openness variables between and within gender.Marriage & Family Review, 49, 349–365. doi:10.1080/01494929.2012.762449
  47. Etcheverry, P. E., Le, B.,Wu, T., &Wei, M. (2013). Attachment and the investment model:Predictors of relationship commitment, maintenance, and persistence. PersonalRelationships, 20, 546–567. doi:10.1111/j.1475-6811.2010.01328
  48. Ezzell, M. B. (2014). Pornography makes the man: The impact of pornography as acomponent of gender and sexual socialization. In L. Coleman & J. M. Hald (Eds.), Thephilosophy of pornography: Contemporary perspectives (pp. 17–34). New York, NY:Rowman & Littlefield.
  49. Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7, 117–140.doi:10.1177/001872675400700202
  50. Field, A. P. (2015). Dread returns to mega-silly one. Health Psychology Review, 9, 15–20.doi:10.1080/17437199.2013.879198
  51. Fisher, R. (1993). Social desirability bias and validity of indirect questioning. Journal of Consumer Research, 20, 303-315. http://dx.doi.org/10.1086/209351
  52. Frable, D. E., Johnson, A. E., & Kellman, H. (1997). Seeing masculine men, sexy women, andgender differences: Exposure to pornography and cognitive constructions of gender.Journal of Personality, 65, 311–355. doi:10.1111/j.1467-6494.1997.tb00957
  53. Gagnon, J. H., & Simon,W. (2005). Sexual conduct:The social sources of human sexuality (Vol.,2nd ed.). Piscataway, NJ: Transaction Publishers.
  54. Glaeser, E., & Sacerdote, B. (2007). Aggregation reversals and the social formation of beliefs. NBER Working Paper No. 13031. Retrieved from http://www.nber.org/papers/w13031.pdf
  55. Glaeser, E., & Sacerdote, B. (2008). Education and Religion. Journal of Human Capital, 2, 188-215. http://dx.doi.org/10.1086/590413
  56. Glass, G.V., McGaw, B., & Smith, M.L. (1981). Meta-Analysis in Social Research. Sage Publications: Beverly Hills, California.
  57. Gray, S.H. (1982). Exposure to pornography and aggression toward women: The case of the angry male. Social Problems, 29, 387-398.
  58. Gunther, A.C. (1995). Overrating the X-rating: The third-person perception and support for censorship of pornography. Journal of Communication, 45, 27-38.
  59. Hald, G. M., & Malamuth, N. M. (2008). Self-perceived effects of pornography consumption.Archives of Sexual Behavior, 37, 614–625. doi:10.1007/s10508-007-9212-1
  60. Hald, G. M., Malamuth, N. M., & Yuen, C. (2010). Pornography and attitudes supportingviolence against women. Aggressive Behavior, 36, 14–20. doi:10.1002/ab.20328
  61. Hald, G. M., Seaman, C., & Linz, D. (2014). Sexuality and pornography. In D. L. Tolman & L.M. Diamond (Eds.), APA handbook of sexuality and psychology: Vol. 2. Contextualapproaches (pp. 3–35).Washington, DC: American Psychological Association.
  62. Hald, G.M., Smolenski, D., & Rosser, B. R. (2013). Perceived effects of sexually explicit mediaamong men who have sex with men and psychometric properties of the pornographyconsumption effects Scale. The Journal of Sexual Medicine, 10, 757–767.doi:10.1111/j.1743-6109.2012.02988.x
  63. Harkness, E. L., Mullan, B., & Blaszczynski, A. (2015). Association between pornography useand sexual risk behaviors in adult consumers. Cyberpsychology, Behavior and SocialNetworking, 18, 59–71. doi:10.1089/cyber.2014.0343
  64. Harris, M.A., Jacobson, C.K., & Chadwick, B.A. (1995). Pornography and premarital sexual activity among LDS Teenagers. American Sociological Association. Department of Sociology. Ohio State University, Columbus.
  65. Hedges, L. V., & Vevea, J. L. (1998). Fixed- and random-effects models in meta-analysis.Psychological Methods, 3, 4868504. doi:10.1037/1082-989X.3.4.486*
  66. Hertlein, K., & Stevenson, A. (2010). The seven “As” contributing to internet-related intimacy problems: A literature review. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 4(1), article 1. Retrieved from http://www.cyberpsychology.eu/view.php?cisloclanku=2010050202
  67. Hill, M. L. (2011). Body image and pornography use. Retrieved from ProQuest DissertationDatabase.Hocking, J., Stacks, D., & McDermott, S. (2003). Communication research. Boston: Pearson.*†
  68. Ho, W., & Watters, P. (2004). Statistical and structural approaches to filtering internet Pornography. In Systems, Man and Cybernetics, 2004 IEEE International Conference on: vol. 5, (pp. 4792-4798).
  69. Hosley, R., Canfield, K., O’Donnell, S. L., & Roid, G. (2008). Father closeness: Its effect onmarriedmen’s sexual behaviors, marital, and family satisfaction. Sexual Addiction &Compulsivity, 15, 59–76. doi:10.1080/10720160701878761
  70. Hui, C.H. (1986). Fifteen years of pornography research: Does exposure to pornography have any effects? Bulletin of the Hong Kong Psychological Society, 16-17, 41-62.
  71. Hunter, J.E. & Schmidt, F.L. (1990). Methods of Meta-Analysis: Correcting Error and Bias in Research Findings. Sage Publications: Newbury Park, California.
  72. Hunter, J.E. & Schmidt, F.L. (1996). Cumulative research knowledge and social policy formulation: The critical role of meta-analysis. Psychology, Public Policy, and Law, 2, 324-347.
  73. Jaffe, Y. & Berger, A. (1977). Cultural generality of the relationship between sex and aggression. Psychological Reports, 41, 335-336.
  74. Jaffe, Y., Malamuth, N., Feingold, J., & Feshbach, S. (1974). Sexual arousal and behavioral aggression. Journal of Personality and Social Psychology, 30, 759-764.
  75. Jamieson, J., Mushquash, C., & Mazmanian, D. (2003).Why do gamblers over-report wins?Journal of Gambling Issues, 9, 1–13. doi:10.4309/jgi.2003.9.10Jensen, R. (2007). Getting off: Pornography and the end of masculinity. Cambridge, MA: SouthEnd Press.
  76. Jenks, R.J. (1985). A comparative study of swingers and nonswingers: Attitudes and beliefs. Lifestyles, 8, 5-20.
  77. Jensen, R., & Dines, G. (1998).The content of mass-marketed pornography. In G. Dines, R.Jensen&A. Russo (Eds.), Pornography: The production and consumption of inequality (pp.65–100). New York, NY: Routledge.*†
  78. Johnson, T.P. & Moore, R.W. (1993). Gender interactions between interviewers and survey respondents: Issues of pornography and community standards. Sex Roles, 28, 243-261.
  79. Johnston, J. B. (2012). Early exposure to pornography: Indirect and direct effects on sexualsatisfaction in adulthood. Doctoral dissertation. Retrieved from ProQuest DissertationDatabase.
  80. Kenrick, D. T., Gutierres, S. E., & Goldberg, L. L. (1989). Influence of popular erotica onjudgments of strangers and mates. Journal of Experimental Social Psychology, 25,159–167. doi:10.1016/0022-1031(89)90010-3
  81. Klaassen, M. J., & Peter, J. (2015). Gender (in)equality in internet pornography: A contentanalysis of popular pornographic internet videos. Journal of Sex Research, 52, 721–735.doi:10.1080/00224499.2014.976781
  82. Konstantopoulos, S. (2011). Fixed effects and variance components estimation in three-levelmeta-analysis. Research Synthesis Methods, 2, 61–76. doi:10.1002/jrsm.35*†
  83. Kvalem, I. L., Traeen, B., & Iantaffi, A. (2015). Internet pornography use, body ideals, andsexual self-esteem in Norwegian gay and bisexual men. Journal of Homosexuality, 63, 522–540. doi:10.1080/00918369.2015.1083782*
  84. Kvalem, I. L., Traeen, B., Lewin, B., & Stulhofer, A. (2014). Self-perceived effects of Internetpornography use, genital appearance satisfaction, and sexual self-esteem among youngScandinavian adults. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 8.doi:10.5817/CP2014-4-4*†
  85. Laier, C., Pekal, J., & Brand, M. (2014). Cybersex addiction in heterosexual female users ofInternet pornography can be explained by gratification hypothesis. Cyberpsychology,Behavior and Social Networking, 17, 505–511. doi:10.1089/cyber.2013.0396*
  86. Lambert, N. M., Negash, S., Stillman, T. F., Olmstead, S. B., & Fincham, F. D. (2012). A lovethat doesn’t last: Pornography consumption and weakened commitment to one’sromantic partner. Journal of Social and Clinical Psychology, 31, 410–438.doi:10.1521/jscp.2012.31.4.410
  1. Leonard, K.E. & Taylor, S.P. (1983). Exposure to pornography, permissive and nonpermissive cues, and male aggression toward females. Motivation and Emotion, 7, 291-299.
  2. Linz, D., & Malamuth, N. (1993). Pornography. Newbury Park, CA: Sage.*
  3. Lopez, P.A. & George, W.H. (1995). Men’s enjoyment of explicit erotica: Effects of person-specific attitudes and gender-specific norms. Journal of Sex Research, 32, 275-288.
  4. Lottes, I., Weinberg, M. & Weller, I. (1993). Reactions to pornography on a college campus: For or against? Sex Roles, 29, 69-89.
  5. MacInnis, C., & Hodson, G. (2014). Do American states with more religious or conservative populations search more for sexual content on Google? Archives of Sexual Behavior, 44, 137-147. http://dx.doi.org/10.1007/s10508-014-0361-8
  6. Maddox, A. M., Rhoades, G. K., & Markman, H. J. (2011). Viewing sexually-explicitmaterials alone or together: Associations with relationship quality. Archives of SexualBehavior, 40, 441–448. doi:10.1007/s10508-009-9585-4
  7. Malamuth, N. M. (1996). Sexually explicit media, gender differences, and evolutionarytheory. Journal of Communication, 46, 8–31. doi:10.1111/j.1460-2466.1996.tb01486.x
  8. Maltz, L., & Maltz,W. (2008). The porn trap. NewYork, NY:Harper.Manning, J. C. (2006).The impact of Internet pornography on marriage and the family: Areview of the research. Sexual Addiction & Compulsivity, 13, 131–165.doi:10.1080/10720160600870711*
  9. McKenzie-Mohr, D., & Zanna, M.P. (1990). Treating women as sexual objects: Look to the (gender schematic) male who has viewed pornography. Personality and Social Psychology Bulletin, 16, 296-308.
  10. Meyer, T.P. (1962). The effects of sexually arousing and violent films on aggressive behavior. The Journal of Sex Research, 8, 324-331.
  11. Minarcik, J. (2010). Sexually explicit material use and relationship dynamics. Retrieved fromProQuest Dissertation Database.*
  12. Morgan, E. M. (2011). Associations between young adults’ use of sexually explicit materialsand their sexual preferences, behaviors, and satisfaction. Journal of Sex Research, 48,520–530. doi:10.1080/00224499.2010.543960*
  13. Morrison, T. G., Bearden, A., Harriman, R.,Morrison, M. A., & Ellis, S. R. (2004). Correlatesof exposure to sexually explicit material among Canadian post-secondary students. TheCanadian Journal of Human Sexuality, 13, 143–156.*†
  14. Morrison, T. G., Ellis, S. R., Morrison, M. A., Bearden, A., & Harriman, R. L. (2006).Exposure to sexually explicit material and variations in body esteem, genital attitudes,and sexual esteem among a sample of Canadian men. The Journal of Men’s Studies, 14,209–222. doi:10.3149/jms.1402.209
  15. Mosher, D.L. (1988). Pornography defined: Sexual involvement theory, narrative context, and goodness-of-fit. Journal of Psychology and Human Sexuality, 1, 67-85.
  16. Mueller, C.W. & Donnerstein, E. (1981). Film-facilitated arousal and prosocial behavior. Journal of Experimental
  17. Mulya, T.W., & Hald, G. M. (2014). Self-perceived effects of pornography consumption in asample of Indonesian university students. Media Psychology, 17, 78–101.doi:10.1080/15213269.2013.850038*†
  18. Muusses, L. D., Kerkhof, P., & Finkenauer, C. (2015). Internet pornography andrelationship quality: A longitudinal study of within and between partner effects ofadjustment, sexual satisfaction and sexually explicit internet material among newly-weds.Computers in Human Behavior, 45, 77–84. doi:10.1016/j.chb.2014.11.077
  19. Neuman,W. R., Davidson, R., Joo, S. H., Park, Y. J., &Williams, A. E. (2008).The sevendeadly sins of communication research. Journal of Communication, 58, 220–237.doi:10.1111/j.1460-2466.2008.00382.x
  20. O’Neil, J. M., Helms, B. J., Gable, R. K., David, L., &Wrightsman, L. S. (1986). Gender-roleconflict scale. Sex Roles, 14, 335–350. doi:10.1007/BF00287583
  21. Owens, E.W., Behun, R. J., Manning, J. C., & Reid, R. C. (2012).The impact of Internetpornography on adolescents: A review of the research. Sexual Addiction & Compulsivity,19, 99–122. doi:10.1080/10720162.2012.660431
  22. Patterson, R., & Price, J. (2012). Pornography, religion, and the happiness gap: Does pornography impact the actively religious differently? Journal of the Scientific Study of Religion, 51, 79-89. http://dx.doi.org/10.1111/j.1468-5906.2011.01630
  23. Paul, P. (2005). Pornified. NewYork, NY: Holt.
  24. Perloff, R. M. (2009). Mass media, social perception, and the third-person effect. In J. Bryant&M. B. Oliver (Eds.), Media effects: Advances in theory and research (pp. 252–268). NewYork, NY: Routledge.
  25. Peter, J., & Valkenburg, P. M. (2009). Adolescents’ exposure to sexually explicit internetmaterial and sexual satisfaction: A longitudinal study. Human Communication Research,35, 171–194. doi:10.1111/j.1468-2958.2009.01343.
  26. Peter, J., & Valkenburg, P. M. (2014). Does exposure to sexually explicit Internet materialincrease body dissatisfaction? A longitudinal study. Computers in Human Behavior, 36,297–307. doi:10.1016/j.chb.2014.03.071
  27. Pickard, H. (2016). Denial in addiction. Mind & Language, 31, 277–299.doi:10.1111/mila.12106*†
  28. Poulsen, F. O., Busby, D. M., & Galovan, A. M. (2013). Pornography use:Who uses it andhow it is associated with couple outcomes. Journal of Sex Research, 50, 72–83.doi:10.1080/00224499.2011.648027*†
  29. Rasmussen, E. E., Ortiz, R. R., &White, S. R. (2015). Emerging adults’ responses to activemediation of pornography during adolescence. Journal of Children and Media, 9,160–176. doi:10.1080/17482798.2014.997769
  30. Rothstein, H. R., & Bushman, B. J. (2012). Publication bias in psychological science. Psychological Methods, 17, 129–136. doi:10.1037/a0027128*
  31. Rowell, E. A. (2011). Influence of sexually explicit media and potential buffers on female sexual satisfaction, body dissatisfaction, social comparison and self-objectification. Retrieved from ProQuest Dissertation Database.
  32. Rusbult, C. E. (1983). A longitudinal test of the investment model: The development (anddeterioration) of satisfaction and commitment in heterosexual involvements. Journal of Personality and Social Psychology, 45, 101–117.
  33. Rusbult, C. E., Martz, J. M., & Agnew, C. (1998).The investment model scale: Measuringcommitment level, satisfaction level, quality of alternatives, and investment size. PersonalRelationships, 5, 357–387. doi:10.1111/j.1475-6811.1998.tb00177.x
  34. Salmon, C. (2012).The pop culture of sex. Review of General Psychology, 16, 152–160.doi:10.1037/a0027910
  35. Schick, V. R., Rima, B. N., & Calabrese, S. K. (2011). Evulvalution:The portrayal of women’sexternal genitalia and physique across time and the current Barbie doll ideals. Journal ofSex Research, 48, 74–81. doi:10.1080/00224490903308404
  36. Schmidt, F. L., & Hunter, J. E. (2015). Methods of meta-analysis: Correcting error and bias inresearch findings. ThousandOaks, CA: Sage.
  37. Sevcikova, A., & Daneback, K. (2014). Online pornography use in adolescence: Age and gender differences. European Journal of Developmental Psychology, 11, 674-686. http://dx.doi.org/10.1080/17405629.2014.926808
  38. Short, M. B., Black, L., Smith, A. H.,Wetterneck, C. T., &Wells, D. E. (2012). A review ofInternet pornography use research. Cyberpsychology, Behavior and Social Networking, 15,13–23. doi:10.1089/cyber.2010.0477*
  39. Smith, T.W., Marsden, P. V., & Houtem, M. (2014). General Social Surveys, 1972–2014.Chicago, IL: National Opinion Research Center.
  40. Stack, S., Wasserman, I., & Kern, R. (2004). Adult social bonds and the use of internet pornography. Social Science Quarterly, 85, 75–88. http://dx.doi.org/10.1111/j.0038-4941.2004.08501006.x
  41. Stana, A. (2013). An examination of relationships between exposure to sexually explicit mediacontent and risk behaviors: A case study of college students. Retrieved from ProQuestDissertation Database.
  42. Stock,W. E. (1997). Sex as commodity: Men and the sex industry. In R. F. Levant & G. R.Brooks (Eds.), Men and sex (pp. 100–132). New York, NY: JohnWiley & Sons.*†
  43. Stoops, J. (2015). Class and gender dynamics of the pornography trade in late nineteenth-century Britain. The Historical Journal, 58, 137-156. http://dx.doi.org/10.1017/S0018246X14000090
  44. Stulhofer, A., Busko, V., & Landripet, I. (2010). Pornography, sexual socialization, andsatisfaction among young men. Archives of Sexual Behavior, 39, 168–178.doi:10.1007/s10508-008-9387-0*†
  45. Stulhofer, A., Busko, V., & Schmidt, G. (2012). Adolescent exposure to pornography andrelationship intimacy in young adulthood. Psychology & Sexuality, 3, 95–107.doi:10.1080/ 19419899.2010.537367
  46. Suls, J.,Martin, R., &Wheeler, L. (2002). Social comparison:Why, with whom, and with whateffect? Current Directions in Psychological Science, 11, 159–163. doi:10.1111/1467-8721.00191*†
  47. Sun, C., Bridges, A., Johnson, J., & Ezzell, M. (2016). Pornography and the male sexual script: An analysis of consumption and sexual relations. Archives of Sexual Behavior, 45, 983–994.
  48. Sun, C.,Miezan, E., Lee, N., & Shim, J. (2015). Korean men’s pornography use, their interest inextreme pornography, and dyadic sexual relationships. International Journal of SexualHealth, 27, 16–35.*†
  49. Sun, Y., Pan, Z., & Shen, L. (2008). Understanding the third-person perception: Evidence from a meta-analysis. Journal of Communication, 58, 280–300.doi:10.1111/j.1460-2466.2008.00385.x*
  50. Szymanski, D. M., & Stewart-Richardson, D. N. (2014). Psychological, relational, and sexual correlates of pornography use on young adult heterosexual men in romantic relationships. The Journal of Men’s Studies, 22, 64–82. doi:10.3149/jms.2201.64
  51. Taylor, L., & Huesmann, L. R. (2014). Answering the attacks on the media violence consensus. In D. Gentile (Ed.), Media violence and children (pp. 355–380). Santa Barbara,CA: Praeger Publishing.
  52. Tiggemann, M. (2013). Objectification theory: Of relevance for eating disorder researchers and clinicians. Clinical Psychologist, 17, 35–45. doi:10.1111/cp.12010*
  53. Traeen, B., & Daneback, K. (2013). The use of pornography and sexual behaviour among Norwegian men and women of differing sexual orientation. Sexologies, 22, e41-e48. http://dx.doi.org/10.1016/j.sexol.2012.03.001
  54. Traeen, B., & Daneback, K. (2013).The use of pornography and sexual behaviour amongNorwegian men and women of differing sexual orientation. Sexologies, 22, e41–e48.doi:10.1016/j.sexol.2012.03.002*†
  55. Traeen, B., Hald, G. M., Noor, S.W., Iantaffi, A., Grey, J., & Rosser, B. S. (2014).Therelationship between use of sexually explicit media and sexual risk behavior in men whohave sex with men: Exploring the mediating effects of sexual self-esteem and condom useself-efficacy. International Journal of Sexual Health, 26, 13–24. doi:10.1080/19317611.2013.823900*
  56. Tripodi, F., Eleuteri, S., Giuliani, M., Rossi, R., Livi, S., Petruccelli, I., Petruccelli, F., Daneback, K., & Simonelli C. (2015). Unusual online sexual interests in heterosexual Swedish and Italian university students. Sexologies, Advanced online publication. http://dx.doi.org/10.1016/j.sexol.2015.03.003
  57. Tylka, T. L. (2014). No harm in looking, right? Men’s pornography consumption, bodyimage, and well-being. Psychology of Men & Masculinity, 16, 97–107. doi:10.1037/a0035774
  58. Vandenbosch, L. (2015). Antecedents of adolescents’ exposure to different types of sexuallyexplicit Internet material: A longitudinal study. Computers in Human Behavior, 50,439–448. doi:10.1016/j.chb.2015.04.032*†
  59. Vandenbosch, L., & Eggermont, S. (2012). Understanding sexual objectification: AComprehensive approach toward media exposure and girls’ internalization of beautyideals, self-objectification, and body surveillance. Journal of Communication, 62,869–887. doi:10.1111/j.1460-2466.2012.01667.x*†
  60. Vandenbosch, L., & Eggermont, S. (2013). Sexualization of adolescent boys: Mediaexposure and boys’ internalization of appearance ideals, self-objectification, and bodysurveillance. Men and Masculinities, 16, 283–306. doi: 10.9718/4X13477866.*
  61. Weaver, J. B., Masland, J. L., & Zillmann, D. (1984). Effect of erotica on young men’saesthetic perception of their female sexual partners. Perceptual and Motor Skills, 58,929–930. doi:10.2466/pms.1984.58.3.929
  62. Wiley & Sons.Bramwell, R. (2002). Invisible labia. Sexual and RelationshipTherapy, 17, 187–190.doi:10.1080/14681990220121293*
  63. Willoughby, B. J., Carroll, J. S., Busby, D. M., & Brown, C. C. (2016). Differences inpornography use among couples: Associations with satisfaction, stability, and relationshipprocesses. Archives of Sexual Behavior, 45, 145–158. doi:10.1007/s10508-015-0562-9
  64. Wolf, F.M. (1986). Meta-Analysis. Quantitative Methods for Research Synthesis. Sage Publications: Beverly Hills, California.
  65. Wright, P. J. (2011). U.S. males and pornography, 1973–2010: Consumption, predictors, correlates. Journal of Sex Research, 50, 60-71. http://dx.doi.org/10.1080/00224499.2011.628132
  66. Wright, P. J. (2011). Mass media effects on youth sexual behavior. Communication Yearbook,35, 343–386.
  67. Wright, P. J. (2014). Pornography and the sexual socialization of children: Current knowledgeand a theoretical future. Journal of Children and Media, 8, 305–312.doi:10.1080/17482798.2014.923606
  68. Wright, P. J., & Bae, S. (2016). Pornography and male sexual socialization. In Y. J.Wong & S.R.Wester (Eds.), Handbook of the psychology of men and masculinities (pp. 551–568).Washington DC: American Psychological Association.
  69. Wright, P. J., & Donnerstein, E. (2014). Sex online: Pornography, sexual solicitation, andsexting. Adolescent Medicine: State of the Art Reviews, 25, 574–589.
  70. Wright, P. J., Tokunaga, R. S., & Kraus, A. (2016). A meta-analysis of pornographyconsumption and actual acts of sexual aggression in general population studies. Journal ofCommunication, 66, 183–205. doi:10.1111/jcom.12201*
  71. Wright, P. J., Malamuth, N., & Donnerstein, E. (2012). Research on sex in the media: What dowe know about effects on children and adolescents? In D. G. Singer & J. L. Singer (Eds.),Handbook of children and the media (pp. 273–302).Thousand Oaks, CA: Sage.
  72. Wright, P. J., Sun, C., Steffen, N., & Tokunaga, R.S. (2015). Pornography, alcohol, and male sexualdominance. Communication Monographs, 82, 252–270.
  73. Young, K., & Case, C. (2004). Internet Abuse in the Workplace: New Trends in Risk Management. CyberPsychology and Behavior, 7, 105-111. http://dx.doi.org/10.1089/109493104322820174
  74. Zillmann, D. & Bryant, J. (1982). Pornography, sexual callousness, and the trivialization of rape. Journal of Communication, Autumn, 10-21.
  75. Zillmann, D. & Sapolsky, B.S. (1977). What mediates the effect of mild erotica on annoyance and hostile behavior in males? Journal of Personality and Social Psychology, 35, 587-596.
  76. Zillmann, D. (1971). Excitation transfer in communication-mediated aggressive behavior. Journal of Experimental Social Psychology, 7, 419-434.
  77. Zillmann, D., & Bryant, J. (1988). Pornography’s impact on sexual satisfaction. Journal ofApplied Social Psychology, 18, 438–453. doi:10.1111/j.1559-1816.1988.tb00027
  78. Zillmann, D., Bryant, J., & Carveth, R.A. (1981). The effect of erotica featuring sadomasochism and bestiality on motivated intermale aggression. Personality and Social Psychology Bulletin, 7, 153-159.
  79. Zillmann, D., Bryant, J., Comisky, P.W., & Medoff, N.J. (1981). Excitation and hedonic valence in the effect of erotica on motivated intermale aggression. European Journal of Social Psychology, 11, 233-252.
  80. Zillmann, D., Hoyt, J.L., & Day, K.D. (1974). Strength and duration of the effect of aggressive, violent, and erotic communications on subsequent aggressive behavior. Communication Research, 1, 286-306.