  In the light of increasing clues on social media impact on self-harm and
suicide risks, there is still no evidence on who are and how factually engaged
in suicide-related online behaviors. This study reports new findings of
high-performance supercomputing investigation of publicly accessible big data
sourced from one of the world-largest social networking site. Three-month
supercomputer searching resulted in 570,156 young adult users who consumed
suicide-related information on social media. Most of them were 21-24 year olds
with higher share of females (58%) of predominantly younger age. Every eight
user was alarmingly engrossed with up to 15 suicide-related online groups.
Evidently, suicide groups on social media are highly underrated public health
issue that might weaken the prevention efforts. Suicide prevention strategies
that target social media users must be implemented extensively. While major gap
in functional understanding of technologies relevance for use in public mental
health still exists, current findings act for better understanding digital
technologies utility for translational advance and offer relevant
evidence-based framework for improving suicide prevention in general
population.
