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Media Violence & Media Pornography - Coggle Diagram
Media Violence & Media Pornography
Media Violence
Key Issues in Public Debate
Do violent criminals get ideas from watching violent media
Aren't we intelligent enough to know the difference between media violence & reality
Society is becoming more violent
Because of media violence?
Media violence a reflection of this?
I/we watch violent movies & yet don't commit violent crimes
But spurious argument as just because not affect you does not mean does not affect anyone
Study: Media & Violence
Portrayals
Compararison
Study: Portrayals (Bhattacharya, 2025)
Increasingly explicit portrayals of violence become more common
Study: Specific Portrayals (McAnally et al., 2012)
Compare violence in James Bond franchise
Severity by types of injuries & how explicit
Dr No (1969) has 109 acts of violence
Quantum of Solace (2008) have 250 acts & more severe violence
Study: Comparison (Çelik, 2022)
Comparitive analysis of streaming & broadcast TV
Show amount of violence not necessarily increased
Show contemporary series depict violence w. greater intensity & fewer contextual constraints (greater realism) than traditional television
Crime Stats (UN)
Violent crime stats of countries in UN
Violent crime stats for UK highest per 100,000
Contemporary Issue
Gang networks
Include manipulating women into sending pictures & then distributing/blackmailing
Reports of 'com networks' as labelled by NCA because of online communities they form increased 6x between 2022 & 2024
Involve thousands of users and victims
NCA says networks typically made up of young med driven by desirs for "status, power, control, misogyny, sexual cratification, or an obsession w. extreme/violent material"
Offenders predominantly teenage boys who often share sadistic & misogynistic material
Have been seen to target those own age/younger
News (01.04.2026)
Teachers increasingly wanting to leave teaching
Rise in violence in classroom
Possible Explanations
Online mean larger social groups
Normative influence
Media exposure from younger age
Hard to control exposure to children
Types of Study
Experimental
Observational
Early Experimental Design
Ethical concerns but allowed aggressive acts
Such as Milgram's shock machine
Modern experiment more about unpleasant sensation
Keep other hand in ice bucket
Blast white noise
Study: Meta-Analysis (Wood et al., 1991)
P: 28 experiments including field studies
M: Meta-analysis
R: Exposure increase violence
Study: Field Experiment (Leyens et al., 1975)
P: Young offenders
M: Show some violent movies for week
R: Those who watched violent movie acted more aggressive
Experimental Findings
Observational learning & modelling (Bandura; 19; Khadka, 2024)
Adults may be imitated especially if rewarded
Norms about aggression may be conveyed
Identification w. aggressor enhances effects (Turner & Berkowitz, 1972; Eyal & Rubin, 2003)
Identification w. violent video game characters led to more aggressive competitive behaviours in players (Konjin et al., 2007)
Realism enhance attitudinal & behavioural effects (Berkowitz & Alioto, 1973; Anderson, Groves & Prot, 2022)
Explanation
Young people exposed may think is normative
Normal to solve problems through violence
Tie in products lead to youth enhancing identification & emulating their behaviour
Study: Realism (Konjin et al., 2007)
M: Ps split & told video from movie/wartime footage
R: More aggression in those who believed was footage
Study: Meta-Analysis (Andison, 1977)
P: 31 lab reports
M: Meta-analysis
R: Exposure to violent media have increase in violence in lab
Observational Design
Observational field studies
Before-and-after observations
Cross-lagged correlational design
Study: Observational Field Studies (Parke et al., 1977)
P: Boys in penal institution
Study: Before-and-after (Williams, 1986; Joy et al., 1986)
P: Remote Canadian communities
M: Communities studied before & after introduction of television reception
Implication
Correlation not causation
TV also introduced advertising
Consumer desire as new products some couldn't afford may have led to increase in burgulary
Study: Cross-Lagged (Eron et al., 1971)
P: Children
M: Cross-lagged correlational study
R: Preference & aggression differ depending
Strongest effects for males
Implication
Social norm that boys can be violent
Socialised to be violence
Violent protagonist in media often male
Violence often 'rewarded'
Study: Cross-Lagged (Huesmann & Eron, 1986)
Study: Cross-Lagged (Huesmann et al., 2003)
P: 400 children from 1970s study
M: Follow-up on previous study
R: Effects for males & females
Implication
May be due to changing social norms
May be due to changing media presentations
Methods
Cross-lagged
Time one measure of aggression, time two measure preference for violent media suggest media not a concern
Time one measure of preference for violent media, time two measure of aggression suggest some causal relationship
Results
Preference predict aggression 10 years later
Aggression not predict preference
Study: Longitudinal (Huesmann et al., 2021)
P: 426 high-risk youth from Flint, Michigan
R:
Results
Cumulative early violent video game play predicted greater likelihood of gun use/threats & stronger narrative beliefs gun use acceptable
Implication
Violence exposure shape long-term cognitive scripts, emotional desensitisation, & normative beliefs that make weapon-related aggression more likely
But media not the sole driver
Associated w. home environments
But media exposure is a malleable factor
What makes it interesting
Study: (Anderson et al., 2003;
M: Review of short-term effects of violence in TV, film, video games, & music
R: Media violence increases likelihood of aggressive in immediate & long-term contexts
Study: Different Media (Anderson et al., 2022)
M; Meta-analysis over 20 years
Review long-term effects
R: Evidence of harmful effects of media violence
Evidence clearest w/in most extensively researched domain, TV, & film
But increasing evidence for computer games
Critics
Study: Critique (Ferguson, 2014)
Corrlations between movie violence & real homicides in US
At times correlated positively, sometimes negatively
Claims publication bias against null results
Critiques ecological validity of lab studies
Study: Cross-Culture (Anderson et al., 2017)
Measurements of media habits correlated w. self-report measures of aggressive behaviours & cognitions
Across all nations exposure to violent screen media positively associated w. aggression
Media violence effect on aggression remain significant evem after statistically controlling for number of relevant risk & protective factors
E.g. Abusive parenting & peer delinquency
General Aggression Model (Anderson & Bushman, 2018)
Bring all short & long term processes together into one model
Short-Term Explanations
Priming
Arousal
Imitation
Study: Priming (Berkowitz, 1984)
Priming agressive conditions
Study: Priming (Turner & Layton, 1976)
M: Priming w. word lists
Study: Music (Anderson et al., 2003)
Exposed Ps to music by the band Tool
Sonf w. violent lyrics
Study: Priming (Carnagey and Anderson,
2005; Barlett and Rodeheffer, 2009)
Individuals who just played violent game more likely to fill in letters of fragmented word in way that produce more aggressive words
Compared to non-aggressive words
Method
Word lists
Some lists had a few aggressive words
Implication
Initiate aggressive cognitive scripts
Study: Arousal (Zillman, 1971; 1996)
M: Excercise bike & aggression
R: Those on bike more aggressive
Excitation-transfer hypothesis & misattribution of arousal
Study: (Brown & Taylor, 2023)
Physiological research show slow decay of synthetic excitation
Study: (Gawronski & Strack, 2023)
Neuroscientific evidence support theory
Reveal arousal activates limbic system regions like amygdala
Persist during emotional transaition
Implication
Challenges include individual & cultural differences
Study: Imitation
Particularly children
Explaining Long-Term
Emotional blunting
Cultivation hypothsis
Social scripts
Moral disengagement
Emotional Blunting (Thomas & Drabman, 1977)
Emotional blunting, desentitidsation & habituation
Study: Desentitisation (Bushman & Anderson, 2009)
M: Helping person who fell before/after seeing violent/nonviolent movie
R: Quicker helping before, & more helping after non-violent
Study: (Carnagey et al., 2009)
Neuroscience evidence
Study: (Arriga et al., 2015)
Pupillometry experiment
People who watch violent have less pupil dilation
Cultivation (Gerbner et al., 1986)
Violence been around for decades
But never been around in amount & severity as modern day
People who watch more violence believe world is more violent
Social Scripts (Huesmann, 1986)
Learning about aggression from TV
Learn when to use violence & what is appropriate
Study: (Carnagey et al., 2007)
Supporting evidence from social neuroscience
Brain areas associated w. learning & memory activated
Study: (Berkowitz, 1993)
Notions of scripts & priming highly compatible
Moral Disengagement (Li et al., 2020; Teng et al., 2017, 2019)
Moral beliefs & values usually serve as brakes on aggressive impulses
Studies show habitual exposure to media violence tends to lead people to fail to engage inhibitory processes (lowers inhibition)
Leads to increased aggression
Reducing Harmful Effects (Anderson et al., 2003)
Censorship & programming watersheds
Distancing self (Leyens et al., 1976)
Realise media violence not always real (Liebert & Sprafkin, 1988)
Parental guidance (Eron Israeli kibbutz children)
Inoculation of kids & media awareness training (Huesmann et al., 1983)
Study: Parental Rules (Cote et al., 2021)
Effect of parental rules resticting 10-14 year old access to violent video games
Reduced children fighting behaviour 8 months later
Study: Successful Interventions (Anderson et al., 2022)
Interventions that work do so through doing one/both of key methods
Reduce amount of media violence exposure
Reduce development of positive attitudes & beliefs about violent behaviour depicted in media violence (such as social script formation)
Media Pornography
Pornography
On average 85,000 women & 12,000 men raped in England & Wales each year
Nearly 200,000 police recorded sexual offences in UK each year
But crime surveys estimate around 1 million aged 16+ experience sexual assault in UK each year & is upwards trend
Around 1/3 people in UK believe women who flirt are partially responsible for being raped (Amnesty, 2005)
It is easier to access than before
Societal Debates Around Pornography
Effects on children?
Is pornography changing?
Becoming more violent?
Becoming more deviant?
Is it leading to addiction & sexual dysfunction?
Is it changing understanding of sexuality & actual sexual behaviour?
Is it linked to rising sexual crime rates
Societal Controversies Around Pornography
Does it reflect sexualisation of society?
Does it degrade & exploit women?
Does it destroy relationships?
Expectation that what see in porn is what women want
Does it act as a release valve/catharsis/cause of crime
Possibility that watching pornography is an outlet to prevent acts of actual violence
Difficulty proving connection but does appear to be one as violent pornography use now the norm in violent sex offenders
Content Analysis
Study: Magazine & Book Covers (Dietz & Evans, 1982)
Many show violence against women
Study: Internet Newsgroup (Harman & Boeringer, 1996)
Newsgroup alt.sex.stories
40.8% of stories had non-consensual element
Study: Video Scenes (Kimmel & Barron, 2000)
26.9% of video scenes contained violence
42.1% of Usenet posts
Study: Co-Occurance (Smith, 2006)
Sexually explicit content often co-occurs w. violence in video games
Study: Video Games (Beck et al., 2012)
Growth in video games that allow characters in enact in violence against women
Sometimes sexual
Study: Sex Scenes (Fritz et al., 2020)
Studies 1000s of hetero scenes from Pornhub & XVideos
45% Pornhub videos contained aggression
35% XVideos videos contained aggression
Women the target 97% of the time & overwhelmingly response was positive/neutral
Most typical violence spanking/gagging/slapping/hair pulling/choking
Men perpetrators 76% of the time
Types of Study
Field
Correlational
Experimental
Experimental
Study: Conditioning (Eysenck & Nias, 1978)
Conditioning of orgasm/masturbation to violent porn
Study: Arousal (Zillman, 1971)
Excercise bike & then some watch violent pornography
Those who watched pornography more violent
Arousal & excitation transfer when anger occurs before pornography exposure
Study: Watching Violence (Linz et al., 1984)
Replicate Donnerstein (1980)
Watching rape & violence towards women increase aggression & impacts attitudes towards rape
Study: Rape Myth (Linz et al., 1988)
Belief that women enjoy being raped
Study: Rape Myth (Foubert et al., 2011)
Male US college students who watch porn more behavioural incentive to rape, more belief in rape myth & less likely to help rape victims/intervene as bystander witnessing an assault
Study: Rape Myth (Hendrick, 2021)
M: Meta-analysis
Effect sizes can be small & some concerns around ecological validity & moderators
Study: Habituation Effect (Zillman & Bryant, 1984)
Correlation
Study: Circulation (Court, 1984)
As circulation of porn increase, reported number of rapes increase
Study: Porn Sales (Baron & Straus, 1984)
US sales figures for pornography magazines correlate w. rape figures
Study: Abuse (Cramer & McFarlane, 1994)
Battered women in women's refuge shelters report former partners used porn
More likely to end up in cycle of abuse
Similar people as partners
Study: Effect of Porn (Bauserman, 1996)
Evidence so far for effect of pornography limited
Possibly indirect social learning effect
Study: Male Coercive Sexual Practices (Simons et al., 2012)
Study: Pornography & STI (Wright & Randall, 2012)
Used GSS data
Porn consumption & STI risk factors
Changes in pornography exposure predict casual sex behaviour better than T1
Casual sex behaviour predicts porn exposure at T2
Study: Meta Analysis (Rodenhizer & Edwards, 2019)
Dating violence & sexual violence widespread growing problem in US
Is there link to exposure to sexually explicit material & sexually violent media
43 studied assessed using adolescents/emerging adults
Exposure to sexually explicit material & sexually violent media correlate positively w. explicit material & violent media myths & more accepting material
Exposure positively related to actual & anticipanted dating violence & sexual violence victimisation, perpetration, & bystander non-intervention
Sexually explicit material & violent media have stronger effect on men's attitudes & behaviours
Pre-existing attitudes a moderator
Recent Research
Further Effects
Exposure can shape attitudes to women (Hauld et al., 2013 Swedish study)
In women as well as men
Exposure can shape understanding of sex
Percieved frequency of group & extra-marital sex
Perceptions of female sexuality (vaginal orgasm)
Exposure can shape relationship & sexual behaviours (Lambert et al., 2012)
Exposure can impact body image, self-esteem, sexual anxiety, & relationship confidence
In men & women
Relationship & sexual behaviours (Lambert et al., 2012)
Condom use
Number of partners
Casual sex
Relationship commitment
Satisfaction w. partners
Engagement in extra-martial sexual behaviour (Wright et al., 2014)
Aggressiveness toward women (Simons et al., 2012)
Study: Body Image (Tylka, 2014)
M: Attitude survey
R: US college men had more body dissatisfaction & relationship anxiety the more they viewed pornography
More men than ever seeking help from eating disorder clinics
Latest Research
Top free pornography sites (like Pornhub) get more traffic than Amazon
In terms of aggression an influential model is Malamuth's confidence model (Malamuth et al., 1999; Malamuth et al., 2012)
Porn exposure seen as moderator/amplifier in high risk individuals not a root cause
Moderator
High risk individuals have hostile masculinity, accept rape myths, desire dominance/control
Study: Behaviours (Krahé et al., 2024)
P: 588 German men & women studying at university
Collected data over 2 year period at 3 time points
Pornography exposure predictive of risky sexual behaviour in men & women
Sex on first date
Sex while drunk
Porn Literacy Interventions (Dines)
Exposure is a form of sexual traumatising
Never been as violent as now
Porn will be w. us forever
Calls not to ban but to regulate & educate about sexual violence
Children & Pornography
Across nations up to 80% children exposed to pornography by 17 & starts 11/younger González-Ortega &
Orgaz-Baz (2013; Spanish study)
Some reports say by age 6
Children access all kinds of porn
Beastiality/child pornography/rape pornography
Internet pornography easy to access
Used as sex education Ševčíková and Daneback (2014; Czech study)
Some religious schools have no/limited sex education
Children imitate & look up to adults as role-models
Habituation & emotional blunting
Early onset particularly problematic (Siegfried-Speller & Rogers, 2013)
Early onset of porn predicts transition to deviant porn (beastiality & child pornography)
What Learning
90%+ scenes feature un-protected sex
Casual/group sex & sex w. strangers common
Women depicted as subordinate sexual objects
Coercion & violence