online-safety-2018-infographic-v1€¦ · microsoft’s digital civility index (dci) fell 2 points...

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50 % 24 % 18 % 15 % 36 % 29 % 28 % Connect with us online! Microsoft.com/SaferOnline Facebook.com/SaferOnline Twitter.com/Safer_Online Youtube.com/MSFTOnlineSafety The good news Microsoft’s Digital Civility Index (DCI) fell 2 points Decline in Unwanted Contact The improvement in DCI was due to a four-point drop in unwanted contact. Other online risks essentially held steady from a year ago The drop in unwanted contact was nearly universal across age, gender and geography Respondents reported that family and friends exposure to online risks was down significantly (-5 points YOY) to 63%. Similar to unwanted contact, the downward movement for this metric was remarkably consistent across geographies and demographic groups Behavioral Behavioral risk types were defined by bullying Nearly everyone in this category experienced name calling, purposeful embarrassment or other types of bullying. 40 % Sexual Sexual risk types were driven by unwelcomed sexual imagery and messages Receipt of unwanted sexual imagery or messages dominated this category. Nearly 4 in 10 had repeated unwanted attempts to start a romantic relationship. This behavior was also a problem in the unwanted contact category. 34 % Hoaxes, scams or fraud Hoaxes, scams or fraud types were led by false or misleading information Fake news and internet hoaxes were the most common types of hoaxes, scams & frauds far ahead of fake anti-virus scams 28 % The bad news Increase in number of respondents experiencing consequences from online risks Four out of five Microsoft Digital Civility Challenge items declined Pervasive presence of online risks inflicted widespread emotional, psychological and physical pain The DCI improved slightly The nature of online risk types Our social circles became more risky The pain of online risks was widespread Consequences were up; positive actions were down Millennials experienced the most risk Risks were harder on girls than boys Most improved DCI However, most risk exposure came from strangers and people we are less familiar with !&# 2016 2017 2018 Risk Exposure 2016-2018 43% 61% 65% 68% 68% 66% 63% 44% 40% $@!?! Unwanted contact Unwanted contact was characterized by repeated attempts to make contact More than 4 in 10 people reported at least one form of unwanted contact that was repeated 40 % Strangers & know online only of those experiencing risks felt some pain Friends & family 63 % 84 % Most painful risks: #1. Damage to reputation (personal and work) #2. Cyberbullying #3. Discrimination Top Consequences Millennials had the highest DCI at 73% Girls exposure and response to online risks was stronger than boys Although girls reported less confidence in dealing with risks, they took more actions about them Fewer positive actions taken Loss of trust I paused before replying to someone I disagreed with Millennials (ages 18-34) experienced the highest rates of risk and their consequences. They registered the highest average number of risks and the fewest that never experienced a risk. I defended someone who was treated unsafe or uncivil online YOY +4 YOY -5 YOY -4 I treated other people with dignity & respect I used tighter privacy settings on social media YOY -4 YOY -3 YOY +4 YOY +3 28 % ? ? ? ? ? ? !" #" $" %" &" '!" '#" '$" '%" '&" #!" ! ' # ( $ ) % * & + '! 16% No pain Increased stress Loss of sleep 63 % 73 % 66 % 62 % 2.7 3.4 2.7 2.2 70 % 75 % 71 % 64 % 58 % 60 % 49 % 39 % People were most ofen targeted based on: Gender, age or physical appearance of girls reported that gender was the reason they were targeted for a risk 62 % of boys reported that gender was the reason they were targeted for a risk 39 % The pain from risks was stronger and sustained longer Incidents were more emotionally burdensome Generated greater worry about them happening again Level of consequences was higher 1. Blocking/unfriending perpetrator 2. Reducing amount of information shared online 3. Using tighter privacy settings Happened to me Family or friend Unwanted contact Level of pain (Base: those who experienced a risk) Boomers Consequences (any) Ave # of risks DCI Moderate to Severe Pain Four countries contributed the most to lowering DCI USA -10 GERMANY -8 FRANCE -6 BELGIUM -5 Improving DCI in the U.S. was broad based as all four risk categories experienced significant declines. Germany saw declines in intrusive and behavioral risks. DCI gains in France and Belgium were narrow, confined to improvements in unwanted contact. ! -10 ! -9 ! -5 ! -4 ! -5 ! -8 ! -9 ! -10 -2 3 ! -6 ! -6 ! -2 ! -5 ! -9 3 3 ! -14 ! -10 ! -8 ! -6 ! -4 -2 0 2 4 DCI Intrusive Behavioral Sexual Reputational Risk Exposure YOY USA Germany France Belgium The state of digital civility in 2018 CIVILITY, SAFETY & INTERACTION ONLINE

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Page 1: online-safety-2018-infographic-V1€¦ · Microsoft’s Digital Civility Index (DCI) fell 2 points Decline in Unwanted Contact The improvement in DCI was due to a four-point drop

50%

24% 18% 15% 36%

29% 28%

Connect with us online!

Microsoft.com/SaferOnlineFacebook.com/SaferOnline

Twitter.com/Safer_OnlineYoutube.com/MSFTOnlineSafety

The good newsMicrosoft’s Digital Civility Index(DCI) fell 2 points

Decline in Unwanted Contact

The improvement in DCI was due to a four-point drop in unwanted contact. Other online risks essentially held steady from a year ago

The drop in unwanted contact was nearly universal across age, gender and geography

Respondents reported that family and friends exposure to online risks was down significantly (-5 points YOY) to 63%. Similar to unwanted contact, the downward movement for this metric was remarkably consistent across geographies and demographic groups

BehavioralBehavioral risk types were defined by bullying

Nearly everyone in this category experienced name calling, purposeful embarrassment or other types of bullying.

40%

SexualSexual risk types were driven by unwelcomed sexual imagery and messages Receipt of unwanted sexual imagery or messages dominated this category. Nearly 4 in 10 had repeated unwanted attempts to start a romantic relationship. This behavior was also a problem in the unwanted contact category.

34%Hoaxes, scams or fraudHoaxes, scams or fraud types were led by false or misleading informationFake news and internet hoaxes were the most common types of hoaxes, scams & frauds far ahead of fake anti-virus scams

28%

The bad newsIncrease in number of respondents experiencing consequences from online risks

Four out of five Microsoft Digital Civility Challenge items declined

Pervasive presence of online risks inflicted widespread emotional, psychological and physical pain

The DCI improved slightly

The nature of online risk types

Our social circles became more risky

The pain of online risks was widespread

Consequences were up; positive actions were down

Millennials experienced the most risk

Risks were harder on girls than boys

Most improved DCI

However, most risk exposure came from strangers and people we are less familiar with

!&#

2016 2017 2018

Risk Exposure 2016-2018

43%

61%

65%

68%

68%66%

63%

44%40%

$@!?!

Unwanted contactUnwanted contact was characterized by repeated attempts to make contact

More than 4 in 10 people reported at least one form of unwanted contact that was repeated

40%

Strangers & know online only

of those experiencing risks felt some pain

Friends & family63%

84%

Most painful risks:#1. Damage to reputation (personal and work)

#2. Cyberbullying

#3. Discrimination

Top Consequences

Millennials had the highest DCI at 73%

Girls exposure and response to online risks was stronger than boys

Although girls reported less confidence in dealing with risks, they took more actions about them

Fewer positive actions taken

Loss of trust

I paused before replying to someone I disagreed with

Millennials (ages 18-34) experienced the highest rates of risk and their consequences. They registered the highest average number of risks and the fewest that never experienced a risk.

I defended someone who was treated unsafe or uncivil online

YOY +4

YOY -5 YOY -4

I treated other people with dignity & respect

I used tighter privacy settings on social media

YOY -4 YOY -3

YOY +4 YOY +3

28%

???? ??

!"

#"

$"

%"

&"

'!"

'#"

'$"

'%"

'&"

#!"

! ' # ( $ ) % * & + '!

16%No pain

Increased stress Loss of sleep

63%73%

66%62% 2.7

3.4

2.72.2

70% 75%71%

64%

58% 60%

49%

39%

People were most ofen targeted based on:Gender, age or physical appearance

of girls reported that gender was the reason they were targeted for a risk

62%of boys reported that gender was the reason they were targeted for a risk

39%

The pain from risks was stronger and sustained longer

Incidents were more emotionally burdensome

Generated greater worry about them happening again

Level of consequences was higher

1. Blocking/unfriending perpetrator

2. Reducing amount of information shared online

3. Using tighter privacy settings

Happened to me

Family or friend

Unwanted contact

Level of pain(Base: those who experienced a risk)

Boomers

Consequences (any)Ave # of risksDCI Moderate to Severe Pain

Four countries contributed the most to lowering DCI

USA

-10GERMANY

-8FRANCE

-6BELGIUM

-5

Improving DCI in the U.S. was broad based as all four risk categories experienced significant declines. Germany saw declines in intrusive and behavioral risks. DCI gains in France and Belgium were narrow, confined to improvements in unwanted contact.

!-10!-9

!-5!-4

!-5

!-8!-9

!-10

-2

3

!-6 !-6

!-2

!-5

!-9

3 3

! -14

! -10

!-8

!-6

!-4

-2

0

2

4

DCI Intrusive Behavioral Sexual Reputational

Risk Exposure YOY

USA Germany France Belgium

The state of digital civility in 2018C I V I L I T Y, S A F E T Y & I N T E R A C T I O N O N L I N E