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Transcript of American Library Association This is your brain on DOPA: THE DATA Michele L. Ybarra MPH PhD Internet...
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American Library Association
This is your brain on DOPA:THE DATA
Michele L. Ybarra MPH PhDInternet Solutions for Kids, Inc.
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Background
More than 9 in 10 US youth now have Internet access (USC Center for the Digital Future, 2006; Lenhart, Rainie, & Lewis, 2001)
One in three teens 12-17 engage in some form of content creation in 2006 (Lenhart, Madden, Magill et al., 2007)
Girls are more likely to post photos (54% v 40%)
Boys are more likely to post video (19% v 10%)
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SNS use is growing across time and increases by age
2% 4%
13%19%
29% 28%
9%
26%23%
45%
52%
41%
0%
10%
20%
30%
40%
50%
60%
10 11 12 13 14 15 16
GuwM 2006
GuwM 2007
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Roadmap
Today we will talk about:
Experiences: Internet harassment and bullying Unwanted sexual solicitation
Exposures: Unintentional and intentional access to
pornography Access of other violent web site content
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Brief Description of the data
Growing up with Media 1,588 households Online Survey: Baseline survey in 2006, 14-month follow
up in 2007 Youth between the ages of 10-15 years
Youth Internet Safety Surveys 1 and 2 1,500 households Random digit dial telephone survey: First survey in 2000,
follow up survey in 2005 Youth between the ages of 10-17 years Conducted by Dr. David Finkelhor and colleagues at UNH CCRC
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Online experiences of youth:
Internet harassment
&
CyberBullying
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Internet harassmentWhat Youth Said… Boy, 14: “I have my own … website and I have
my own page on it and someone posted something bad about me on it.”
Boy, 15: “I was playing a first person shooter game and unintentionally offended this person who became very serious and began to threaten me by saying if this was real life he would physically harm me. [It happened because he] was unable to accept this was just a game.”
Quotes taken from the Youth Internet Safety Survey – 2 report (Wolak, Finkelhor, Mitchell, 2006)
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Internet harassment: Definitions
Depends on the survey.. YISS1 & YISS2
Rude or mean comments (YISS1 only) Felt worried or threatened because someone was
bothering or harassing them online Someone has used the internet to threaten or embarrass
them by posting or sending information for others to see
Growing up with Media Rude or mean comments Threatening or aggressive comments Spread rumors about youth, whether they were true or not
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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 .
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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
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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)
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How do rates compare online and offline? (GuwM)
69%
87%94% 89% 87%
27%
11% 10% 12%5% 2% 2% 1%
6%1%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
School Internet Cell phones Community Other places
Monthly +
Once / a few times
Never
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Online experiences of youth:
Unwanted sexual solicitation
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Defining unwanted sexual solicitation on the Internet Someone tried to get me to talk about sex online
when I did not want to.
Someone online asked me for sexual information about myself when I did not want to tell the person, e.g., really personal questions, like what my body looks like or sexual things I have done.
Someone asked me to do something sexual when I was online that I did not want to do.
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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
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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)
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How do rates compare online and offline? (GuwM)
83% 87%
14% 10%2% 3%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
School Internet
Monthly +
Once / a few times
Never
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Online exposures of youth:
Unintentional exposure to x-rated material
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Demographic profile of youth reporting unwanted exposure to pornAmong 1,501 10-17 year olds surveyed in 2005
YISS-2:
34% reported an unwanted exposure (40% reported ANY exposure) 54% were boys Most (76%) were older youth (14-17)
Wolak, Finkelhor and Mitchell, 2006
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Demographic profile of youth reporting unwanted exposure to pornSimilarly, in the UK…
57% of 9-19 year olds who use the Internet weekly have been exposed to pornography.
As age increases, the likelihood of exposure also increases: 21% of 9-11 year olds, 58% 12-15 year olds, and 76% of 16-17 year olds
Livingstone & Bober, 2005
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Where did the exposure happen?
YISS2: Wolak, Finkelhor and Mitchell, 2006
83% happened while surfing the web 40% occurred when doing online searches 17% clicked on links within sites 12% were from misspelled web addresses
18% came in the form of an email or IM In the UK: Livingstone & Bober, 2005
Surfing the web: 38% from a pop-up 36% accidentally founds themselves on a website
25% received pornographic junk mail
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What does it mean to be “unwanted”
21% in YISS2 said they could tell it was x-rated before entering (Wolak, Finkelhor, Mitchell, 2006)
Perhaps they didn’t understand the term “x-rated” until they *saw* it
Perhaps they saw a different type (e.g., more extreme) of pornography then they were expecting
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Other important event characteristics
There is significant overlap of youth reporting unwanted and wanted exposure YISS-2 respondents reporting unwanted
exposure are 2.8 times more likely to report wanted exposure than those not reporting unwanted exposure to sexual material online.
2% report going back to the web site
(Wolak, Finkelhor, Mitchell, 2006)
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Online exposures of youth:
Intentional exposure to x-rated material
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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
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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)
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Demographic profile 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%
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Online exposures of youth:
Exposure to violent web sites
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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
YesNoI don't know what you're talking about
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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
YesNoI don't know what you're talking about
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Final thoughts
The majority of youth who use the Internet have positive experiences and report that none of these types of exposures occur.
The data do not support the assertion that youth are more likely to have negative experiences (i.e., sexually solicited, harassed) or exposures (i.e., access x-rated material) online than offline.
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Implications for professionals working with youth We need to do more to provide support and
intervention for youth who are targeted by peer aggression, both online and offline.
We need to focus on the child, not the online application.
Most youth do not operate in a ‘vacuum’. What are we doing to treat children more globally and provide services that address all of their needs?
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Acknowledgements
The Growing up with Media survey was supported by Cooperative Agreement number U49/CE000206 from the Centers for Disease Control and Prevention (CDC). The contents of this presentation are solely the responsibility of the authors and do not necessarily represent the official views of the CDC.
I’d also like to acknowledge and thank Dr. David Finkelhor and colleagues at the University of New Hampshire’s Crimes against Children Research Center for their ground breaking work and contributions to the field with the YISS and YISS-2.