1) More than 90% of US youth now have internet access and spend most of their time online on social networking sites, games, music, and schoolwork. 2) Reports of internet harassment and unwanted sexual solicitation have increased over time, with most instances involving other minors. 3) Youth who experience online victimization often report feelings of upset and are more likely to experience psychosocial problems like depression, substance abuse, and behavior issues.

1. Safer Internet Forum, September 25-26
2008, Luxembourg
Children’s Use of Online
Technologies
Michele L. Ybarra MPH PhD
Internet Solutions for Kids, Inc.
* Thank you for your interest in this presentation. Please
note that analyses included herein are preliminary. More
recent, finalized analyses may be available by contacting
CiPHR for further information.

2. Background
More than 9 in 10 US youth now have Internet
access (USC Center for the Digital Future, 2006; Lenhart, Rainie, &
Lewis, 2001)
Among Internet users:
 43% go online every day
 The top two things they spend the most time
doing:
 34% social networking sites, 33% Games,
29% music, 27% school work, 22% IM

3. Internet harassment:
Prevalence rates over time
 From YISS1 to YISS2, the12-month prevalence rate
of Internet harassment increased from 6% to 9%
(Mitchell, Wolak, Finkelhor, 2006).
 In the Growing up with Media Survey, 34% reported
harassment at baseline, 34% at follow-up
 Frequent harassment: 8% reported being harassed
monthly at baseline, 8% at follow-up
 Continuity of harassed youth over time
 20% reported harassment at baseline and follow-up
 13% reported harassment at baseline only
 14% reported harassment at follow-up only .

4. Internet harassment: Who is the
harasser?
Based upon data from the YISS2 (Ybarra, Mitchell, Wolak, Finkelhor,
2006).
 8%: Preadolescent (10-12 years old)
 51%: Adolescent (13-17 years old)
 21%: Young adult (18-25 years old)
 2% Adult (26-40 years): 2%
 18% Don’t know: 18%
The majority (59%) of harassment comes
from other minors

5. Characteristics related to youth
harassment
Type of psychosocial problem
Odds of psychosocial problems given
report of Internet harassment
YISS1 YISS2 GuwM W2
Peer problems
Interpersonal victimization / offline bullying 3.1 *** + 1.5 * 1.8 **
Social problems 2.4 **
Behavior problems
Depression 3.6 * +
Substance use
Alcohol use 2.3 **
Inhalant and other ‘hard’ drug use 4.7 **
Respond to stimuli with anger 1.07 **
Ybarra M, Mitchell KJ, Wolak J, Finkelhor D. Examining characteristics and associated distress related to Internet harassment: Findings from the
Second Youth Internet Safety Survey. Pediatrics. 2006. 118A(4):e1169-1177.
Ybarra ML, Diener-West M, Leaf PJ. Examining the overlap in internet harassment and school bullying: implications for school intervention. J
Adolescent Health. 2007 Dec;41(6 Suppl 1):S42-50.
Ybarra ML. Linkages between depressive symptomatology and Internet harassment among young regular Internet users. Cyberpsychol Behav.
2004 Apr;7(2):247-57.

6. Impact of Internet harassment
About one in three youth targeted by
Internet harassment report feeling
very/extremely upset (or afraid) because
of the incident:
 30% in YISS-1
 38% in YISS-2
 25% in GuwM (wave 2)

7. Prevalence rates of unwanted sexual
solicitation across time and ages
2%
8%
14% 14%
23%
25% 25%
21%
0%
5%
9%
10%
15%
18%
19%
15%
6% 6%
12%
13%
23% 24%
5%
13%
10%
18%
22%
7%
0%
5%
10%
15%
20%
25%
30%
10 11 12 13 14 15 16 17
YISS-1
YISS-2
GuwM W1
GuwM W2

8. Unwanted sexual solicitation: Who is
the solicitor?
Based upon data from the YISS2 (Wolak, Mitchell,
Finkelhor, 2006).
 43%: 17 years of age and younger
 30%: 18-25 years of age
 9%: 26+ years of age
 18%: don’t know
Roughly half (43%) of sexual solicitations
come from other minors

9. Concurrent psychosocial problems
Type of psychosocial problem
Odds of psychosocial problems given
report of unwanted sexual solicitation
YISS1 GuwM W2
Caregiver child relationships
Poor emotional bond 1.1 *
Coercive discipline 1.2 *
Peer problems
Interpersonal victimization / offline bullying 1.8 * - 1.9 * 2.0 **
Behavior problems
Symptoms of depression 3.0 ***
Troubled (e.g., negative life event, depression, child
abuse) 1.7 **
Substance / alcohol use 2.6 *** 3.4 ***
Delinquent behavior 1.8 **
Weapon carrying at school 10.0 **
Life challenge 2.9 * +
Mitchell KJ, Finkelhor D, Wolak J. Risk factors for and impact of online sexual solicitation of youth. JAMA. 2001;285(23):3011-4.
Ybarra ML, Leaf PJ, Diener-West M. Sex differences in youth-reported depressive symptomatology and unwanted internet sexual solicitation. J
Med Internet Res. 2004 Feb 6;6(1):e5.
Mitchell K, Ybarra M, Finkelhor D. The relative importance of online victimization in understanding depression, delinquency, and substance use.
Child Maltreatment. 2007; 12(4): 314-324.

10. Impact of unwanted sexual solicitation
Across studies, about one in three solicited
youth report feeling very/extremely upset
(or afraid) because of the incident:
 YISS1: 26%
 YISS2: 31%
 GuwM: 39% (at Wave 2)

11. Frequency of intentional exposure
(GuwM)
10%
11%
13% 13%
10%
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
20%
2006 (n=1588 10-15 yo) 2007 (n=1206 11-16 yo)
Internet
Magazines
Movies

12. Intentional exposure to x-rated
material across age and time
0% 0%
2%
6%
10% 10%
12%
14%
1% 2%
3%
10%
12%
17%
22%
19%
1%
7%
6%
8%
22%
13%
1%
6%
10%
18%
13%12%
0%
5%
10%
15%
20%
25%
10 11 12 13 14 15 16 17
YISS-1 (2000)
YISS-2 (2005)
GuwM W1 (2006)
GuwM W2 (2007)

13. Characteristics of youth looking at
internet porn (GuwM)
Among 1,206 11-16 year old youth in Oct-Dec, 2007:
 80% male (OR = 4.2, p<.001)
 14.4 years old (OR = 1.3, p<.001)
How did they hear about the site? (top 5):
 From a friend: 53%
 Search engine: 30%
 Another web site: 29%
 Typed in an address to see what would come up: 22%
 Pop-up ad: 22%

14. Frequency of exposure to violent web
sites (GuwM)
2% 4%
51%
42%
47%
54%
0%
10%
20%
30%
40%
50%
60%
Hate sites Death sites
Yes
No
I don't know what you're talking about

15. Frequency of exposure to violent web
sites (GuwM)
22%
18%
49%
46%
29%
36%
0%
10%
20%
30%
40%
50%
60%
News sites Violent cartoon sites
Yes
No
I don't know what you're talking about

16. Final thoughts
 In order to develop targeted prevention programs, we
need to understand what youth are doing online and
offline
 Each environment represents an opportunity for risk
identification and targeted vulnerability – especially
the internet.