Read Online Big Porn Inc: Exposing the Harms of the Global Pornography Industry by Melinda Tankard Reist, Abigail Bray - Free Book Online Page B
Authors: Melinda Tankard Reist, Abigail Bray
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violent mutilation of reproductive organs
16,600,000
7,480,000
Bukkake
Involving numerous men (10+) having sex with one wo(man)
17,900,000
1,500,000
Voyeur sex
Involves filming & spying on people while dressing/showering
15,900,000
135,000
Twink porn
Involving younger/slender looking boys
8,210,000
135,000
Crush sex
Involving the killing of small animals (also called Hard Crush)
7,740,000
5400
Vomit sex
Involving vomiting & gagging (Emetophilia pornography)
3,790,000
9900
Rough sex
Involving humiliation, choking, hair-pulling
3,250,000
368,000
Scat porn
Involving defecation, manipulation/ consumption of feces
3,050,000
165,000
Lolita sex
Involving underage-looking performers (appearing 15-18 years)
2,200,000
N/A c
Rape sex
Involving real or portrayed forced unconsensual sex
2,770,000
550,000
Diaper porn
Involving performers pretending to be infants
1,730,000
27,100
Wired porn
Involving electrical shocks & use of electrocution devices
1,690,000
2400
Pre-teen sex
Involving actual pre-pubescent children
1,560,000
N/A c
Exhibitionist sex
Involves public genital exposure (from flashing to intercourse)
1,360,000
2900
Snuff sex
Involving actual death of participants, consenting or otherwise
1,280,000
6600
Menstrual porn
Involving menstruating women (with focus on menstrual blood)
531,000
9900
Felching sex
Involving the suction of recently-ejaculated semen from the anus
480,000
170
Guro sex
Involving blood, gore, disfiguration, mutilation, urine or feces
278,000
480
___________________________
a Total number of pornography sub-genre Google generated Webpages in 2010 (accessed 15 December, 2010).
b Average number of global monthly Google searches in 2010: Data specific to Keyword Match Type (derived from Google AdWords, calculated 15 December, 2010).
c Number of Google AdWords searches publicly restricted. However Google Trends reports juvenile sex search terms were, by far, the most popular of all requests in 2010 (derived from Google Trends, calculated on 20 December, 2010).
The mere parallel between deviant sexual pathology and popular pornography sub-themes does not warrant the conclusion that one is determined by the other. According to Kingston et al. (2008) other relevant moderating variables, such as family background and transient emotional states, may also contribute to an individual’s predisposition in relation to sexualised media. Yet, the socially corrosive power of unregulated commercialised pornography is clearly acknowledged throughout scientific literature.
Not only does pornography activate and reinforce inappropriate cognitive representations (fostering sexual preoccupation), repeated exposure to pornography has been found to “help shape an individual’s fantasies, perceptions, rationalizations, and deeper core beliefs” (Kingston et al., 2008, p. 349). Empirical studies 4 into the effects of pornography have consistently shown that the degradation encouraged by pornography encourages negative attitudes and dominant behaviours towards women, including the heightened proclivity towards coercive sex. This is especially true of pornography that advocates aggression and violence towards women, which, based on findings that aggression rates in pornographic scenes have nearly tripled in recent years (Bridges et al., 2010), can be considered the overwhelming majority.
According to social, operant, and classical learning theories, 5 consumers model what they learn from sexually explicit media when the sexual acts they observe are positively reinforced. Most disturbingly, Bridges et al. (2010), found that when aggressed against, 95.9% of female pornography actors responded with approving (expressions of pleasure) or condoning (expressions of neutrality) responses. 6 To the extent that consumers of mainstream pornography learn that verbal and physical sexual aggression is rewarding, they are more likely to incorporate coercive aggression in their own sexual encounters. An overwhelming number of
16,600,000
7,480,000
Bukkake
Involving numerous men (10+) having sex with one wo(man)
17,900,000
1,500,000
Voyeur sex
Involves filming & spying on people while dressing/showering
15,900,000
135,000
Twink porn
Involving younger/slender looking boys
8,210,000
135,000
Crush sex
Involving the killing of small animals (also called Hard Crush)
7,740,000
5400
Vomit sex
Involving vomiting & gagging (Emetophilia pornography)
3,790,000
9900
Rough sex
Involving humiliation, choking, hair-pulling
3,250,000
368,000
Scat porn
Involving defecation, manipulation/ consumption of feces
3,050,000
165,000
Lolita sex
Involving underage-looking performers (appearing 15-18 years)
2,200,000
N/A c
Rape sex
Involving real or portrayed forced unconsensual sex
2,770,000
550,000
Diaper porn
Involving performers pretending to be infants
1,730,000
27,100
Wired porn
Involving electrical shocks & use of electrocution devices
1,690,000
2400
Pre-teen sex
Involving actual pre-pubescent children
1,560,000
N/A c
Exhibitionist sex
Involves public genital exposure (from flashing to intercourse)
1,360,000
2900
Snuff sex
Involving actual death of participants, consenting or otherwise
1,280,000
6600
Menstrual porn
Involving menstruating women (with focus on menstrual blood)
531,000
9900
Felching sex
Involving the suction of recently-ejaculated semen from the anus
480,000
170
Guro sex
Involving blood, gore, disfiguration, mutilation, urine or feces
278,000
480
___________________________
a Total number of pornography sub-genre Google generated Webpages in 2010 (accessed 15 December, 2010).
b Average number of global monthly Google searches in 2010: Data specific to Keyword Match Type (derived from Google AdWords, calculated 15 December, 2010).
c Number of Google AdWords searches publicly restricted. However Google Trends reports juvenile sex search terms were, by far, the most popular of all requests in 2010 (derived from Google Trends, calculated on 20 December, 2010).
The mere parallel between deviant sexual pathology and popular pornography sub-themes does not warrant the conclusion that one is determined by the other. According to Kingston et al. (2008) other relevant moderating variables, such as family background and transient emotional states, may also contribute to an individual’s predisposition in relation to sexualised media. Yet, the socially corrosive power of unregulated commercialised pornography is clearly acknowledged throughout scientific literature.
Not only does pornography activate and reinforce inappropriate cognitive representations (fostering sexual preoccupation), repeated exposure to pornography has been found to “help shape an individual’s fantasies, perceptions, rationalizations, and deeper core beliefs” (Kingston et al., 2008, p. 349). Empirical studies 4 into the effects of pornography have consistently shown that the degradation encouraged by pornography encourages negative attitudes and dominant behaviours towards women, including the heightened proclivity towards coercive sex. This is especially true of pornography that advocates aggression and violence towards women, which, based on findings that aggression rates in pornographic scenes have nearly tripled in recent years (Bridges et al., 2010), can be considered the overwhelming majority.
According to social, operant, and classical learning theories, 5 consumers model what they learn from sexually explicit media when the sexual acts they observe are positively reinforced. Most disturbingly, Bridges et al. (2010), found that when aggressed against, 95.9% of female pornography actors responded with approving (expressions of pleasure) or condoning (expressions of neutrality) responses. 6 To the extent that consumers of mainstream pornography learn that verbal and physical sexual aggression is rewarding, they are more likely to incorporate coercive aggression in their own sexual encounters. An overwhelming number of
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