Cureus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 30, 2024
Adolescents
are
immersed
in
a
highly
advanced
technology
setting,
characterized
by
extensive
availability
of
personal
devices,
the
internet,
and
other
social
media
platforms,
which
greatly
impact
their
mental
development.
Concerns
arise
around
potential
negative
consequences,
including
isolation,
internet
addiction,
exposure
to
improper
content,
depression,
cyberbullying,
sleeping
difficulty.
The
on
well-being
adolescents
has
emerged
as
an
escalating
concern.
continuous
carefully
selected
online
harassment,
expectation
comply
with
unrealistic
standards
all
contribute
development
depression
anxiety.
This
research
aims
explore
health
Saudi
Arabian
context.
Advances in healthcare information systems and administration book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 20 - 46
Published: Feb. 14, 2024
This
chapter
examines
the
concept
of
mental
health
literacy
(MHL)
and
its
pivotal
role
in
promoting
well-being
global
agendas.
MHL,
rooted
recognition,
understanding,
management
disorders,
has
emerged
as
a
critical
component
fostering
individual
community
resilience.
The
delves
into
transformative
potential
digital
tools
enhancing
MHL
through
innovative
education
approaches,
focusing
on
platforms,
mobile
apps,
virtual
reality,
artificial
intelligence,
gamified
learning
to
disseminate
personalized
information
efficiently,
transcending
barriers
time
stigma.
comprehensively
explores
state-of-the-art
integration
not
only
healthcare
professionals
training
curricula
but
also
populations.
Through
some
examples
real
case
study,
effectiveness
different
interventions
is
highlighted,
culminating
practical
recommendations
for
seamlessly
incorporating
initiatives.
Informatics,
Journal Year:
2023,
Volume and Issue:
10(4), P. 82 - 82
Published: Oct. 27, 2023
Artificial
intelligence
(AI)
chatbots
have
gained
prominence
since
2022.
Powered
by
big
data,
natural
language
processing
(NLP)
and
machine
learning
(ML)
algorithms,
they
offer
the
potential
to
expand
capabilities,
improve
productivity
provide
guidance
support
in
various
domains.
Human–Artificial
Intelligence
(HAI)
is
proposed
help
with
integration
of
human
values,
empathy
ethical
considerations
into
AI
order
address
limitations
enhance
their
effectiveness.
Mental
health
a
critical
global
concern,
substantial
impact
on
individuals,
communities
economies.
Digital
mental
solutions,
leveraging
ML,
emerged
challenges
access,
stigma
cost
care.
Despite
potential,
legal
implications
surrounding
these
technologies
remain
uncertain.
This
narrative
literature
review
explores
revolutionize
digital
while
emphasizing
need
for
ethical,
responsible
trustworthy
algorithms.
The
guided
three
key
research
questions:
technology
integration,
balance
between
benefits
harms,
mitigation
bias
prejudice
applications.
Methodologically,
involves
extensive
database
search
engine
searches,
utilizing
keywords
related
health.
Peer-reviewed
journal
articles
media
sources
were
purposively
selected
questions,
resulting
comprehensive
analysis
current
state
knowledge
this
evolving
topic.
In
conclusion,
hold
promise
transforming
but
must
navigate
complex
practical
challenges.
HAI
principles,
regulation
scoping
reviews
are
crucial
maximizing
minimizing
risks.
Collaborative
approaches
modern
educational
solutions
may
use
mitigate
biases
applications,
ensuring
more
inclusive
effective
landscape.
BMC Psychology,
Journal Year:
2023,
Volume and Issue:
11(1)
Published: Sept. 22, 2023
A
growing
body
of
literature
demonstrates
that
social
media
usage
has
witnessed
a
rapid
increase
in
higher
education
and
is
almost
ubiquitous
among
young
people.
The
underlying
mechanisms
as
to
how
by
university
students
affects
their
well-being
are
unclear.
Moreover,
current
research
produced
conflicting
evidence
concerning
the
potential
effects
on
individuals'
overall
with
some
reporting
negative
outcomes
while
others
revealing
beneficial
results.To
address
gap,
present
made
an
attempt
investigate
crucial
role
affecting
students'
psychological
(PWB)
subjective
(SWB)
testing
mediating
self-esteem
online
support
moderation
effect
cyberbullying.
data
study
were
obtained
from
sample
1,004
college
(483
females
521
males,
Mage
=
23.78,
SD
4.06)
enrolled
at
135
Chinese
universities.
AMOS
26.0
SPSS
well
Process
macro
utilized
for
analyzing
moderated
mediation
model.Findings
revealed
was
positively
associated
PWB
SWB
through
support,
cyberbullying
played
moderating
first
phase
process
such
indirect
associations
weak
reaching
high
levels.These
findings
highlight
importance
discerning
mediated
paths
linking
adults
SWB.
results
also
underline
implementing
measures
interventions
alleviate
detrimental
impacts
adults'
Online Journal of Communication and Media Technologies,
Journal Year:
2024,
Volume and Issue:
14(3), P. e202436 - e202436
Published: May 26, 2024
This
study
investigates
the
positive
effect
of
social
media
on
employee
mental
health,
a
critical
factor
affecting
both
individual
well-being
and
organizational
performance.
Addressing
gap
in
empirical
research,
particularly
Malaysian
context,
this
utilizes
two-round
Delphi
method
to
gather
expert
opinions
from
diverse
fields,
sectors,
industries,
generations.
The
research
identified
41
themes,
subsequently
categorized
into
five
key
dimensions.
found
that
interpersonal
connection
was
most
important
dimension,
followed
by
psychological
well-being,
performance
satisfaction,
growth
development,
working
culture.
elucidates
multifaceted
benefits
enhancing
health
offers
comprehensive
insights
its
constructive
role
workplace.
Contributing
literature,
it
provides
practical
implications
strategic
recommendations
for
organizations
leverage
effectively
bolster
health.
BMC Health Services Research,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: March 5, 2024
Abstract
Background
Mental
health
service
utilization
remains
a
challenge
in
developing
countries,
with
numerous
barriers
affecting
access
to
care.
Albeit
data
suggest
poor
of
mental
services
the
Bolgatanga
Municipality
Ghana,
no
studies
have
explored
services.
Therefore,
this
study
perspectives
family
caregivers,
providers,
and
administrators
on
Municipality,
Ghana.
Methods
A
qualitative
descriptive
design
was
employed
for
study.
Nineteen
participants
were
purposively
sampled
from
two
hospitals
including
fifteen
administrators.
Data
collected
through
individual
in-depth
interviews
using
semi-structured
interview
guide.
Audio-recorded
transcribed
verbatim
thematically
analyzed
NVivo
12
pro
software.
Results
Five
main
themes
emerged
individual-level
barriers,
interpersonal
community-level
organizational-level
policy-level
barriers.
At
level,
lack
insight,
treatment
compliance,
financial
challenges
prominent
Interpersonal
included
pressure
influenced
by
cultural
spiritual
beliefs.
community
stigma
illiteracy
identified
as
significant
organizational
encompassed
inadequate
staffing,
limited
space,
staff
attitudes.
Policy-level
neglect
policies
non-inclusion
National
Health
Insurance
Scheme.
Conclusion
This
highlights
complexity
underscores
need
comprehensive
approach
address
them.
Collaborative
efforts
involving
healthcare
policymakers,
communities,
families
are
essential
mitigate
these
It
is
imperative
consider
when
strategies
improve
International Journal of Mental Health and Addiction,
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 27, 2024
Abstract
Social
media
addiction
has
previously
been
linked
to
compromised
mental
health
and
social
isolation;
however,
most
studies
are
cross-sectional
or
based
on
convenience
samples.
The
objective
of
the
current
study
was
assess
extent
which
predicts
isolation
(including
bi-directionality)
in
a
large
prospective
sample
Danish
adults.
Data
stem
from
nationwide
longitudinal
survey
1958
adults
(aged
16+)
conducted
2020
2021.
Bergen
Media
Addiction
Scale
(BSMAS)
used.
Validated
scales
were
used
depression,
wellbeing,
loneliness.
A
total
2.3%
screened
positive
for
addiction.
As
compared
no
symptoms,
associated
with
an
elevated
risk
depression
(OR
=
2.71;
95%
CI
1.08,
6.83)
negatively
wellbeing
(coef
−1.29;
−2.41,
−0.16).
Similarly,
loneliness
4.40;
1.20,
16.19),
network
size
−0.46;
−0.86,
−0.06).
There
is
need
preventive
actions
against
addictive
use,
as
this
poses
significant
functioning
working
age
population.
PeerJ Computer Science,
Journal Year:
2024,
Volume and Issue:
10, P. e2398 - e2398
Published: Oct. 24, 2024
This
work
presents
a
comprehensive
literature
review
and
real-world
survey
analysis
examining
the
intricate
relationship
between
communal
media
psychological
concerns
within
human-computer
interaction
(HCI).
By
systematically
categorizing
research
from
1995
to
2023,
we
observe
significant
increase
in
studies,
reflecting
growing
recognition
of
media's
impact
on
well-being.
Our
delves
into
various
HCI
aspects,
including
demographic
effects,
emotional
sentiment
analysis,
online
social
networking,
use
intensity.
A
focusing
TikTok
users
reveals
diverse
user
perspectives
safety,
privacy,
platform's
creativity
mental
health.
The
data
highlights
predominance
young
adults
aged
16-24,
with
creativity,
leisure,
content
discovery
being
primary
engagement
motivators.
Positive
impacts
such
as
creative
inspiration
distraction
worries
are
contrasted
over
privacy
invasion,
harm
underaged
users,
addiction.
Correlation
underscores
complex
interplay
experiences
perceptions.
Future
should
prioritize
enhancing
safety
measures,
educational
campaigns,
in-depth
studies
long-term
usage.
Additionally,
exploring
platform
modifications
conducting
longitudinal
cross-platform
will
help
create
safer
more
engaging
environment.
contributes
significantly
expanding
body
knowledge,
providing
robust
foundation
for
future
inform
policies
interventions
promoting
positive
outcomes
digital
age.
Frontiers in Artificial Intelligence,
Journal Year:
2024,
Volume and Issue:
7
Published: Feb. 20, 2024
Hate
Speech
Detection
in
Arabic
presents
a
multifaceted
challenge
due
to
the
broad
and
diverse
linguistic
terrain.
With
its
multiple
dialects
rich
cultural
subtleties,
requires
particular
measures
address
hate
speech
online
successfully.
To
this
issue,
academics
developers
have
used
natural
language
processing
(NLP)
methods
machine
learning
algorithms
adapted
complexities
of
text.
However,
many
proposed
were
hampered
by
lack
comprehensive
dataset/corpus
speech.
In
research,
we
propose
novel
multi-class
public
dataset
comprised
403,688
annotated
tweets
categorized
as
extremely
positive,
neutral,
or
negative
based
on
presence
Using
our
developed
dataset,
additionally
characterize
performance
models
for
identification
Jordanian
dialect
tweets.
Specifically,
Word2Vec,
TF-IDF,
AraBert
text
representation
been
applied
produce
word
vectors.
help
these
models,
can
provide
classification
with
vectors
representing
After
that,
seven
classifiers
evaluated:
Support
Vector
Machine
(SVM),
Logistic
Regression
(LR),
Naive
Bays
(NB),
Random
Forest
(RF),
AdaBoost
(Ada),
XGBoost
(XGB),
CatBoost
(CatB).
light
this,
experimental
evaluation
revealed
challenging
unstructured
setting,
gathered
datasets
rather
efficient
generated
encouraging
assessment
outcomes.
This
will
enable
delve
further
into
crucial
field
study.
BACKGROUND
Young
adults
experience
stressors
in
their
transition
to
adulthood
and
are
at
increased
risk
of
mental
health
challenges.
This
is
compounded
by
young
adults’
low
levels
literacy
limited
competencies
implementing
strategies
promoting
well-being
daily
lives.
In
Sweden,
there
a
lack
co-designed
evidence-based
interventions
targeting
these
issues.
OBJECTIVE
The
aims
this
study
were
conduct
needs-assessment
Swedish
needs,
obtaining
views
on
how
digital
application
could
potentially
support
during
emerging
adulthood.
METHODS
Semi-structured
interviews
conducted
with
16
analyzed
using
reflexive
thematic
analysis.
RESULTS
subsequent
analysis
revealed
three
main
themes:
(1)
“To
Feel
that
Life
Worth
Living”–
Adults’
Needs
for
Mental
Health
Well-being;
(2)
"A
place
one's
personal
work
toward
own
well-being"–
Views
Digital
Application;
and,
(3)
“Something
Designed
Me”–
Customization
the
Application.
CONCLUSIONS
According
participating
adults,
means
tending
meaningful
relationships
activities.
ill-health
stemmed
from
negative
social
media
usage,
societal
challenges
difficulties
prioritizing
knowing
recover
stress
anxiety.
Utilizing
technology
was
perceived
as
potential
accessible
resource
delivering
strengths-based
approach