Frontiers in Psychology,
Journal Year:
2020,
Volume and Issue:
11
Published: Dec. 16, 2020
Given
recent
advances
in
technology,
connectivity,
and
the
popularity
of
social
media
platforms,
literature
has
devoted
great
attention
to
problematic
Facebook
use.
However,
exploring
potential
predictors
use
beyond
become
paramount
given
increasing
multiple
alternative
platforms.
In
this
study,
a
sample
584
users
(
M
age
=
32.28
years;
67.81%
female)
was
recruited
complete
an
online
survey
assessing
sociodemographic
characteristics,
patterns,
preferences
use,
(PSMU),
motives,
psychological
well-being,
self-esteem,
positive
negative
affect.
Results
indicated
that
6.68%
n
39)
all
respondents
could
be
potentially
classed
as
users.
Moreover,
further
analysis
intrapersonal
motive
(β
0.38),
affect
0.22),
daily
0.18),
surveillance
0.12),
−0.09)
each
predicted
PSMU.
These
variables
accounted
for
about
37%
total
variance
PSMU,
with
driving
greatest
predictive
contribution,
over
above
effects
patterns
variables.
findings
contribute
on
The
results
study
are
discussed
light
existing
Media Psychology,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 27
Published: March 28, 2024
Turning
off
push
notifications
is
a
common
recommendation
to
reduce
smartphone
screen
time
and
improve
daily
experiences
of
digital
well-being.
As
only
little
empirical
evidence
exists,
this
study
aims
test
the
effectiveness
strategy.
Based
on
preregistered
randomized
controlled
trial
(N
=
205),
including
objectively
logged
behavior
data
mobile
diary
assessments
subjective
experiences,
we
found
that
one-week
notification-disabling
intervention
did
not
affect
(i.e.
checking
frequency
time).
This
pattern
was
dependent
people's
trait
fear
missing
out.
In
addition,
no
effects
perceived
control,
overuse,
vigilance,
productivity,
smartphone-related
distraction.
The
did,
however,
result
in
decrease
habit
strength,
indicating
users
experienced
their
use
be
more
intentional.
absence
also
led
increased
out,
suggesting
disabling
results
drawbacks
rather
than
improvements
Together,
these
findings
challenge
assumption
play
prominent
role
driving
influencing
user
experiences.
Findings
are
discussed
light
complex
interplay
between
device
features
Behavioral Sciences,
Journal Year:
2025,
Volume and Issue:
15(2), P. 168 - 168
Published: Feb. 4, 2025
This
research
explores
the
psychological
transition
that
occurs
in
dating
app
users
from
Fear
of
Missing
Out
(FOMO)
to
Joy
(JOMO)
using
Stressor–Strain–Outcome
(SSO)
model.
An
online
survey
410
Tinder
reveals
FOMO
significantly
influences
self-disclosure
and
social
media
stalking
behaviors,
which
leads
user
fatigue
eventually
JOMO.
also
finds
privacy
concerns
play
a
moderating
role
this
process.
In
particular,
results
show
heightened
increases
stalking,
intensifies
fosters
Privacy
modulate
relationship
between
FOMO,
fatigue,
JOMO,
thus
playing
critical
interactions
with
apps.
These
insights
help
elucidate
socio-psychological
behaviors
can
inform
design
reduce
enhance
well-being.
Cyberpsychology Behavior and Social Networking,
Journal Year:
2020,
Volume and Issue:
24(2), P. 129 - 134
Published: Sept. 10, 2020
In
recent
years,
smartphone
and
social
networking
services
(SNS)
use
have
received
a
great
amount
of
scholarly
attention
regarding
their
potentially
addictive
effects.
Conceptualized
as
or
SNS
disorder,
research
has
consistently
demonstrated
relations
with
daily-life
impairments.
However,
Smartphone
Use
Disorder
(SmUD),
WhatsApp
(WAUD),
Facebook
(FBUD),
Instagram
(IGUD),
Snapchat
(SCUD)
scores
not
been
compared
each
other.
This
comparison
could
provide
insight
into
which
device/platform
be
most
related
to
The
effective
sample
this
study
comprised
439
German-speaking
individuals
(age
M
=
25.08,
SD
9.74;
271
women)
who
reported
actively
using
smartphone,
well
WhatsApp,
Facebook,
Instagram,
Snapchat,
responded
the
respective
disorder
scales.
Within-subjects
analysis
variance
post
hoc
tests
(p
values
adjusted
Holm
method)
were
used
compare
scale
scores.
results
suggest
that
SmUD
are
highest
in
other
platforms.
Although
WAUD
IGUD
did
differ
from
other,
these
higher
than
for
FBUD
SCUD.
SCUD
These
novel
how
different
SNSs
may
relate
engagement
problematic
digital
technology
use.
Journal of Behavioral Addictions,
Journal Year:
2020,
Volume and Issue:
9(3), P. 686 - 697
Published: Aug. 15, 2020
Abstract
Background
and
aims
Studies
have
demonstrated
associations
between
both
problematic
smartphone
social
networks
use
with
everyday
life
adversities.
However,
examination
of
(PSU)
specific
networking
platforms,
especially
on
item-level
data,
has
received
relatively
little
attention.
Therefore,
the
aim
current
study
was
to
explore
how
items
smartphone,
Facebook,
WhatsApp,
Instagram
are
associated.
Methods
949
German-speaking
adults
participated
in
a
web
survey
study.
The
participants
were
queried
about
their
socio-demographics
as
well
levels
use.
In
addition
bivariate
correlation
analysis,
exploratory
graph
analysis
(EGA),
type
network
conducted.
Results
results
showed
that
while
Facebook
seem
be
distinct
phenomena,
WhatsApp
heavily
intertwined.
Furthermore,
only
cross-platform
symptom
observed
extent
reported
pain
wrists
neck
due
digital
technology
EGA
models
very
good
stability
bootstrap
analyses.
Discussion
conclusions
general,
this
suggest
may
potentially
constitute
behaviors,
smartphone/WhatsApp
scales
measuring
highly
similar
or
even
same
construct.
Frontiers in Psychology,
Journal Year:
2020,
Volume and Issue:
11
Published: Dec. 16, 2020
Given
recent
advances
in
technology,
connectivity,
and
the
popularity
of
social
media
platforms,
literature
has
devoted
great
attention
to
problematic
Facebook
use.
However,
exploring
potential
predictors
use
beyond
become
paramount
given
increasing
multiple
alternative
platforms.
In
this
study,
a
sample
584
users
(
M
age
=
32.28
years;
67.81%
female)
was
recruited
complete
an
online
survey
assessing
sociodemographic
characteristics,
patterns,
preferences
use,
(PSMU),
motives,
psychological
well-being,
self-esteem,
positive
negative
affect.
Results
indicated
that
6.68%
n
39)
all
respondents
could
be
potentially
classed
as
users.
Moreover,
further
analysis
intrapersonal
motive
(β
0.38),
affect
0.22),
daily
0.18),
surveillance
0.12),
−0.09)
each
predicted
PSMU.
These
variables
accounted
for
about
37%
total
variance
PSMU,
with
driving
greatest
predictive
contribution,
over
above
effects
patterns
variables.
findings
contribute
on
The
results
study
are
discussed
light
existing
