See https://i4ada.org for additional information and videorecordings of the presentations held at the Hague Summit for Accountability in the Digital Age

2. 18 206
SUICIDES
2
* SOURCE: Russian Statistic Committee 2018
≈ 19 092
TRAFFIC ACCIDENTS

3. SUICIDES
PER MONTH
~1 500
CALLS ON A
HOTLINE
PER MONTH
~3 800
MESSAGES ONLINE ABOUT
INTENSIONS OF SELF-
HARM PER MONTH
~10 000
«…I need help, but nobody answered
the phone
…they answered only on the third time»
*SOURCES: Russian Statistic Committee, 2018
Department of labor and social protection of the population of Moscow, 2018
Brand Analytics Monitoring System, August-July 2019

4. 4
100 MLN PEOPLE
38 097
29 551
23 771
22 340
11 068
5 185
Vkontakte
Instagram
Odnoklassniki
Facebook
LiveJournal
Mail.ru // My
world
AUDIENCE PER MONTH
* SOURCE: Mediascope , Web Index, September 2019, Monthly Reach% and thousands people, All
69%
12%
9%
6%
3% 1%
SOURCES WHERE SUICIDE WAS
MENTIONED
vk.com
youtube.com
instagram.com
facebook.com
ok.ru
otvet.mail.ru

5. 5
younger than 18 y.o.
18 – 24 y.o.
25 – 34 y.o.
35 – 44 y.o.
45 – 54 y.o.
55 y.o. and older
USERS WHO MENTIONED
AN INTENTION TO COMMIT SUICIDE ON
SOCIAL MEDIA (DISTRIBUTION BY AGE)
692 children
committed
suicide in 2017,
788 in 2018
14%
SOURCES: Russian Investigating Committee, 2018
Brand Analytics Monitoring System, August-July 2019

6. 6
* SOURCE: Brand Analytics Monitoring System, 2019
… AND BEFORE THEY KILLED THEMSELVES,
THEY WROTE ABOUT IT ON THE INTERNET.

7. INTERACTION
DETECTION OF
SUICIDE
INTENTIONMONITORING
&ANALYSIS
MACHINE
LEARNING
COLLECTING
SML
BIG DATA
SEARCH
QUERIES
TESTING
• Identified threads are
sent to the specialists
for immediate interaction
• Or a moderator with the
qualification of a
psychiatrist is
embedded in the
dialogue to provide
first aid
• Specially trained
moderators
explore
conversations and
threads in real
time, in order to
identify potential
suicide victims
• Automatic detection
of the tone when
mentioning suicide
with an accuracy of
85-90%
• Human analysis
• Machine-learning
algorithms
categorize
messages, identify
media field trends,
aggression,
recognize texts on
images, etc.
• Data collection on
the Internet: social
media, forums,
blogs, video
hosting, review
sites, media, open
chats in
messengers
• Preparation and testing
of the linguistic query
with various word
forms, meanings and
specific terms linked to
suicide, including
depression, loneliness
etc.
7

8. 8
1. WE SHOULD BE IN PLACES WHERE PEOPLE DISCUSS IT
2. WE SHOULD BE THERE BEFORE THEY MAKE A DECISION
3. WE HAVE TO PREVENT IT WHEN POSSIBLE, USING
MARKETING AND AI TECHNOLOGIES