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APA Convention, August 14-17 2008, Boston MA
Growing Up With Media: Viewing Hate
Web Sites and Serious Violent Behavior:
Who’s Doing It?
aCenters for Disease Control; bCenter for Innovative Public Health Research; cJohns
Hopkins School of Public Health
This research was supported by Cooperative Agreement number U49/CE000206 from the Centers
for Disease Control and Prevention (CDC). Its contents are solely the responsibility of the authors
and do not necessarily represent the official views of the CDC.
Merle Hamburger PhDa
Michele Ybarra MPH PhDb
Philip J Leaf PhDc
Marie Diener-West PhDc
* Thank you for your interest in this presentation. Please note that analyses included
herein are preliminary.  More recent, finalized analyses can be found in: Ybarra, M.,
Diener-West, M., Markow, D., Leaf, P., Hamburger, M., & Boxer, P. (2008). Linkages
between Internet and other media violence with seriously violent behavior by youth.
Pediatrics, 122(5), 929-937.
Brief Description of the
Growing up with Media
survey
Online data collection among randomly identified
households with adult members of Harris Poll
OnLine
 Baseline data collected August – September 2006
 1,588 households
 Youth between the ages of 10-15 years
 English speaking
 26% response rate
Why Study Hate?
 According to UCR there were 7,720 hate
crime incidents in 2006
 ~52% were racially based
 ~19% were based on religious bias
 ~16% were based on sexual orientation
 Young people (<20) more likely to be
victimized than older people
 Almost 500 active hate websites in 2007
Problem Statement
Little is known about which adolescents
are viewing hate websites and how that
may impact their behavior.
 What are the characteristics of adolescents who
visit hate websites?
Exposure to Hate Website
“In the last 12 months have you visited a website
that people would call a ‘hate’ site. A ‘hate’ site
is one that tells you to hate a group of people
because of who they are, how they look, or what
they believe.”
Response alternatives:
 No, I don’t know what this is (56.8%, n=888)
 No, but I have heard of this (40.6%, n=660)
 Yes (2.5%, n=40)
Demographic and household
characteristics
Variable
Viewers of
hate sites
All others
Odds Ratio
2.5% (n=40) 97.5% (1548)
Age (range: 10-15 years) 13.4 (0.3) 12.6 (0.06) 1.36 (1.34-1.39)
Male 34% (12) 53% (784) 0.46 (0.43-0.49)
Hispanic 18% (7) 18% (198) 1.00 (0.92-1.08)
Non-white 33% (13) 28% (404) 1.22 (1.14-1.30)
Propensity to Respond with Anger
(range: 10-30)
21.4 (1.2) 18.8 (0.2) 1.13 (1.12-1.14)
Poor Parental Monitoring (range: 2-10) 3.4 (0.3) 2.9 (0.05) 1.22 (1.12-1.35)
Poor Parental Closeness (range: 3-14) 6.8 (0.5) 5.5 (0.07) 1.30 (1.28-1.31)
Witnessing Domestic Violence 30% (8) 9% (135) 4.69 (4.36-5.06)
School and Drug Characteristics
Variable
Viewers of hate
sites (n=40)
All others
(n=1548)
Odds Ratio
School Variables
Suspended from school 1+ times 35% (10) 23% (343) 1.87 (1.70-2.06)
Poor academic performance 21% (9) 9% (142) 2.91 (2.69-3.15)
Carrying a weapon to school 16% (4) 2% (21) 11.76 (10.62-13.03)
Drug Variables
Alcohol use 39% (13) 12% (169) 4.81 (4.50-5.14)
Marijuana use 22% (6) 5% (62) 5.41 (5.00-5.85)
Inhalants / Hard drugs 16% (5) 2% (26) 9.92 (9.07-10.85)
Externalizing behaviors and
Exposure to community violence
Variable
Viewers of hate
sites (n=40)
All others
(n=1548)
Odds Ratio
Externalizing behaviors
Aggression (offline) 85% (34) 58% (880) 4.1 (1.3-12.8)
Aggression (online) 47% (17) 21% (304) 2.7 (1.1-6.7)
Delinquent behavior 80% (31) 56% (862) 3.0 (1.2-7.9)
Seriously violent behavior 20% (7) 4% (86) 5.1 (1.7-15.0)
Community Violence Exposure
Seen / heard shots, bombs, riots 22% (8) 7% (113) 3.44 (3.20-3.72)
Seen robbery with a weapon 44% (15) 18.5% (288) 3.54 (3.32-3.78)
Seen someone murdered 9% (5) 2% (24) 5.08 (4.61-5.60)
Summary
It is a small minority of 10-15 year olds who
report visiting a hate site in the past year
 Only 2.5% of sample reported viewing hate sites
VERSUS
 55% of sample had never heard of hate sites
 42% of sample had heard of them, but never
been to a hate site
Summary
Respondents who reported viewing hate
sites are significantly more likely to:
 Have more family and school difficulties
 Use alcohol and illicit drugs
 Are exposed to community violence
 Be aggressive, delinquent, and seriously
violent
Limitations of
GuwM Data
 Reliance on self-reports
 It is possible that:
 Children were monitored by their parents
 22% of youth indicated someone was close
enough to see the screen during data collection
 Parents completed the youth survey.
 Data are cross-sectional, but…
Cross-Lagged Panel
Violence T1 Violence T2
Hate T1 Hate T2
0.18***
0.47***
-0.001
0.20**
0.33***
0.12*
Implications
Important association between viewing
hate sites and…
 Seriously violent behavior
 Other antisocial behaviors
Viewing hate sites may simply be a
symptom of underlying antisocial
tendencies
Contact Information
Dr. Merle Hamburger
Centers for Disease Control and Prevention
mhamburger@cdc.gov
The findings and conclusions in this presentation are those of the authors and do not
necessarily represent the official position of the Centers for Disease Control.

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Viewing hate web sites and serious violent behavior: Who’s doing it?

  • 1. APA Convention, August 14-17 2008, Boston MA Growing Up With Media: Viewing Hate Web Sites and Serious Violent Behavior: Who’s Doing It? aCenters for Disease Control; bCenter for Innovative Public Health Research; cJohns Hopkins School of Public Health This research was supported by Cooperative Agreement number U49/CE000206 from the Centers for Disease Control and Prevention (CDC). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the CDC. Merle Hamburger PhDa Michele Ybarra MPH PhDb Philip J Leaf PhDc Marie Diener-West PhDc * Thank you for your interest in this presentation. Please note that analyses included herein are preliminary.  More recent, finalized analyses can be found in: Ybarra, M., Diener-West, M., Markow, D., Leaf, P., Hamburger, M., & Boxer, P. (2008). Linkages between Internet and other media violence with seriously violent behavior by youth. Pediatrics, 122(5), 929-937.
  • 2. Brief Description of the Growing up with Media survey Online data collection among randomly identified households with adult members of Harris Poll OnLine  Baseline data collected August – September 2006  1,588 households  Youth between the ages of 10-15 years  English speaking  26% response rate
  • 3. Why Study Hate?  According to UCR there were 7,720 hate crime incidents in 2006  ~52% were racially based  ~19% were based on religious bias  ~16% were based on sexual orientation  Young people (<20) more likely to be victimized than older people  Almost 500 active hate websites in 2007
  • 4. Problem Statement Little is known about which adolescents are viewing hate websites and how that may impact their behavior.  What are the characteristics of adolescents who visit hate websites?
  • 5. Exposure to Hate Website “In the last 12 months have you visited a website that people would call a ‘hate’ site. A ‘hate’ site is one that tells you to hate a group of people because of who they are, how they look, or what they believe.” Response alternatives:  No, I don’t know what this is (56.8%, n=888)  No, but I have heard of this (40.6%, n=660)  Yes (2.5%, n=40)
  • 6. Demographic and household characteristics Variable Viewers of hate sites All others Odds Ratio 2.5% (n=40) 97.5% (1548) Age (range: 10-15 years) 13.4 (0.3) 12.6 (0.06) 1.36 (1.34-1.39) Male 34% (12) 53% (784) 0.46 (0.43-0.49) Hispanic 18% (7) 18% (198) 1.00 (0.92-1.08) Non-white 33% (13) 28% (404) 1.22 (1.14-1.30) Propensity to Respond with Anger (range: 10-30) 21.4 (1.2) 18.8 (0.2) 1.13 (1.12-1.14) Poor Parental Monitoring (range: 2-10) 3.4 (0.3) 2.9 (0.05) 1.22 (1.12-1.35) Poor Parental Closeness (range: 3-14) 6.8 (0.5) 5.5 (0.07) 1.30 (1.28-1.31) Witnessing Domestic Violence 30% (8) 9% (135) 4.69 (4.36-5.06)
  • 7. School and Drug Characteristics Variable Viewers of hate sites (n=40) All others (n=1548) Odds Ratio School Variables Suspended from school 1+ times 35% (10) 23% (343) 1.87 (1.70-2.06) Poor academic performance 21% (9) 9% (142) 2.91 (2.69-3.15) Carrying a weapon to school 16% (4) 2% (21) 11.76 (10.62-13.03) Drug Variables Alcohol use 39% (13) 12% (169) 4.81 (4.50-5.14) Marijuana use 22% (6) 5% (62) 5.41 (5.00-5.85) Inhalants / Hard drugs 16% (5) 2% (26) 9.92 (9.07-10.85)
  • 8. Externalizing behaviors and Exposure to community violence Variable Viewers of hate sites (n=40) All others (n=1548) Odds Ratio Externalizing behaviors Aggression (offline) 85% (34) 58% (880) 4.1 (1.3-12.8) Aggression (online) 47% (17) 21% (304) 2.7 (1.1-6.7) Delinquent behavior 80% (31) 56% (862) 3.0 (1.2-7.9) Seriously violent behavior 20% (7) 4% (86) 5.1 (1.7-15.0) Community Violence Exposure Seen / heard shots, bombs, riots 22% (8) 7% (113) 3.44 (3.20-3.72) Seen robbery with a weapon 44% (15) 18.5% (288) 3.54 (3.32-3.78) Seen someone murdered 9% (5) 2% (24) 5.08 (4.61-5.60)
  • 9. Summary It is a small minority of 10-15 year olds who report visiting a hate site in the past year  Only 2.5% of sample reported viewing hate sites VERSUS  55% of sample had never heard of hate sites  42% of sample had heard of them, but never been to a hate site
  • 10. Summary Respondents who reported viewing hate sites are significantly more likely to:  Have more family and school difficulties  Use alcohol and illicit drugs  Are exposed to community violence  Be aggressive, delinquent, and seriously violent
  • 11. Limitations of GuwM Data  Reliance on self-reports  It is possible that:  Children were monitored by their parents  22% of youth indicated someone was close enough to see the screen during data collection  Parents completed the youth survey.  Data are cross-sectional, but…
  • 12. Cross-Lagged Panel Violence T1 Violence T2 Hate T1 Hate T2 0.18*** 0.47*** -0.001 0.20** 0.33*** 0.12*
  • 13. Implications Important association between viewing hate sites and…  Seriously violent behavior  Other antisocial behaviors Viewing hate sites may simply be a symptom of underlying antisocial tendencies
  • 14. Contact Information Dr. Merle Hamburger Centers for Disease Control and Prevention mhamburger@cdc.gov The findings and conclusions in this presentation are those of the authors and do not necessarily represent the official position of the Centers for Disease Control.

Notas del editor

  1. No differences between the two ‘NO’ groups, so they were collapsed.
  2. Controlling for whether someone was close enough to see the screen and whether they were honest
  3. Controlling for whether someone could see the screen and whether they were honest
  4. Controlling for whether someone could see the screen and whether they were honest
  5. Of those who said they had never heard of hate sites at T1, less than 2% subsequently visited a hate site
  6. You don’t know the answer unless you ask – it’s a strength that we have this data and are able to analyze it’s influence Note that to be at risk, you have to have the exposure – i.e., internet use; General population findings may yield different frequencies.
  7. Serious violence at T1 predicted viewing a hate site at T2…suggests that people who violent are predisposed to view hates sites (rather than people who view hate sites become violent)