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eRisk stands for Early Risk Prediction on the Internet. It is
concerned with the exploration of techniques for the early
detection of mental health disorders which manifest in the way
people write and communicate on the internet, in particular in user
generated content (e.g. Facebook, Twitter, or other social media).
Early detection technologies can be employed in several different
areas but particularly in those related to health and safety. For
instance, early alerts could be sent when the writing of a teenager
starts showing increasing signs of depression, or when a social
media user starts showing suicidal inclinations, or again when a
potential offender starts publishing antisocial threats on a blog,
forum or social network. eRisk has been the pioneer of a new
interdisciplinary area of research that is potentially applicable
to a wide variety of situations, problems and personal profiles.
This book presents the best results of the first five years of the
eRisk project which started in 2017 and developed into one of the
most successful track of CLEF, the Conference and Lab of the
Evaluation Forum.
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