This
chapter
will
discuss
building
your
scholarly
presence
on
social
media.
It
layout
best
practices
and
provide
guidelines
to
follow
promote
research
impact.
We
focus
select
platforms:
LinkedIn,
Facebook,
Instagram,
ResearchGate,
Twitter.
There
be
brief
segments
discussing
each
platform
demystify
their
processes
how
they
function.
then
the
basics
of
a
profile
that
establishes
platforms
setting
up
any
necessary
system
settings.
The
next
stage
involve
understanding
functionalities
use
them
build
relationships
expand
reach
scholarship.
go
further
in
describing
what
would
appropriate
content
share
examples
is
inappropriate.
Finally,
it
present
good
habits
for
maintaining
healthy
effective
keep
active.
While
focused
these
five
media
sites,
can
applied
almost
other
platform.
Frontiers in Cognition,
Journal Year:
2025,
Volume and Issue:
4
Published: May 6, 2025
Introduction
Numerous
studies
have
demonstrated
that
attention
and
performance
decline
with
time-on-task.
In
modern
contexts,
this
gradual
fading
of
can
manifest
as
increases
in
media
multitasking
over
time.
Across
two
studies,
we
investigated
whether
increasing
individuals'
motivation
to
perform
well
on
a
task
mitigates
temporal
multitasking.
Method
Study
1
re-analyzed
data
from
previously
published
study
which
provided
participants
standard
or
motivating
instructions
before
having
them
complete
sustained
the
option
multitask.
2
extended
work
by
critically
assessing
in-the-moment
through
thought
probes
throughout
task.
Results
both
corresponding
decreases
time
were
attenuated
function
increased
motivation.
Moreover,
results
revealed
decreased
time-on-task
for
groups;
however,
was
more
motivated
group.
Discussion
Our
findings
suggest
value
individuals
assign
attending
their
current
may
aid
prolonging
attention.
These
align
recent
theories
vigilance
attribute
decrements
varying
cost-benefit
analyses
rather
than
depletion
resources
Behaviour and Information Technology,
Journal Year:
2022,
Volume and Issue:
42(14), P. 2504 - 2519
Published: Oct. 6, 2022
There
is
little
research
in
the
field
of
problematic
smartphone
use,
which
directly
enquired
with
users
about
what
they
find
disturbing
usage
behaviour.
This
qualitative
study
addressed
sub-critical
issues
may
be
a
precursor
to
more
severe
problems
such
as
usage.
Ninety-nine
participants
completed
an
online
questionnaire
open
questions
regarding
Using
method
'thematic
analysis',
we
identified
eight
themes
that
clustered
into
two
overarching
themes:
reasons
for
use
and
consequences
use.
Five
related
including
inevitability,
habitual
avoiding
unpleasant
circumstances,
need
satisfaction
fulfilling
social
expectations.
Three
referred
(i.e.
life
management,
life,
life).
Across
all
it
appeared
different
aspects
were
triggered
sustained
by
contextual
factors
complex
dynamics,
suggesting
lack
control
over
their
actual
Therefore,
this
provides
holistic
view
well
identifies
several
mechanisms
perpetuating
these
problems.
The
listing
description
are
high
importance
prevention
design
interventions.
Learning Media and Technology,
Journal Year:
2023,
Volume and Issue:
unknown, P. 1 - 14
Published: July 2, 2023
Contemporary
education
in
Sweden
is
characterized
by
two
parallel
processes:
the
implementation
of
digital
tools
classroom,
on
one
hand,
and
an
increased
emphasis
brain-based
learning,
other.
Proponents
latter
strand
'neuroeducation'
claim
that
media
might
have
harmful
effects
learning
cognitive
development.
How
do
they
then
deal
with
school
digitalization?
By
examining
popular
science
books
influential
neuroscience
actors
Swedish
educational
context,
this
study
identifies
diverging
discourses
where
technologies
are
discussed
both
as
distractions
classroom
promising
for
personalized
self-optimizing
learning.
This
ambiguity
reflects
a
cautious
criticism
against
digitalization
overhastly,
critique
also
emphasized
recent
policy
changes
system.
The
article
concludes
impact
perspectives
positioned
new
kind
experts.
The
increasing
emphasis
on
digital
wellbeing
(DW)
underscores
the
significance
of
balancing
technology
use
with
other
aspects
life.
However,
it
remains
unclear
to
what
extent
mobile
DW
apps
support
this
balance
by
incorporating
life
component.
We
conducted
a
systematic
review
152
available
Google's
Playstore
and
found
that
current
mainly
focus
digital-centric
actions,
such
as
monitoring
screen
time
setting
app
limits,
while
overlooking
everyday
activities
occur
outside
smartphone.
To
address
limitation,
we
created
Life-Relaunched,
smartphone
launcher
adapts
users'
real-life
contexts
implicitly.
then
performed
preliminary
study
examine
opportunities
challenges
implicit
features
into
apps.
results
our
indicate
integrating
can
be
advantageous
in
facilitating
between
use.
Nonetheless,
also
emphasizes
user
burden
establishing
usage
initially.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Feb. 7, 2024
Distractions
are
omnipresent
and
can
derail
our
attention,
which
is
a
precious
very
limited
resource.
To
achieve
their
goals
in
the
face
of
distractions,
people
need
to
regulate
thoughts,
behavior;
this
known
as
self-regulation.
How
self-regulation
be
supported
or
strengthened
ways
that
relevant
for
everyday
work
learning
activities?
address
question,
we
introduce
evaluate
desktop
application
helps
stay
focused
on
train
at
same
time.
Our
lets
user
set
goal
what
they
want
do
during
defined
period
computer,
then
gives
negative
feedback
when
get
distracted,
positive
reorient
attention
towards
goal.
After
so-called
focus
session,
receives
overall
how
well
relative
previous
sessions.
While
existing
approaches
training
often
use
artificial
tasks,
approach
transforms
real-life
challenges
into
opportunities
building
strong
control
skills.
results
indicate
optimal
attentional
generate
large
increases
behavioral
focus,
task
motivation,
self-control-benefitting
users
successfully
long-term
goals.
Psychological applications and trends,
Journal Year:
2022,
Volume and Issue:
unknown
Published: April 22, 2022
"Modern
learning
environment
is
filled
with
digital
distractions.
Distractions
lead
students
to
engage
in
multitasking,
i.e.,
task-switching,
during
the
teaching
and
process
-
shift
attention
from
content
non-course-related
activities.
Psychological
research
mostly
focused
on
examining
negative
effects
of
multitasking
three
areas:
cognition
academic
performance;
health;
interpersonal
relationships.
This
paper
deals
field
achievement
specifically
that
distractions
have
process.
An
analysis
articles
published
scientific
journals
last
five
years
has
been
done.
Articles
were
searched
through
EBSCO
Discovery
Service,
terms
?multitasking?,
?digital
distraction?
?learning?,
title,
abstract
and/or
keywords.
In
order
for
article
be
included
analysis,
it
was
necessary
deal
at
least
part.
Thus,
11
results
empirical
studies
4
review/theoretically
oriented
selected.
The
show
may
reduce
learners’
capacity
cognitive
processing
causing
poor
performance.
Multitasking
more
common
those
media
provide
instant
emotional
gratification,
such
as
social
applications
sites.
College
instructors
notice
classroom
negatively
affect
teacher-student
relationship,
impair
their
job
satisfaction,
well
integrity
environment.
Review
studies,
among
other
things,
self-control
interventions,
which
developed
alleviate
impact
distractions,
are
not
effective
enough.
Banning
use
mobile
devices
a
good
solution
either,
because
banning
phones
can
encourage
nomophobia,
will
also
concentration
learning.
For
older
students,
laptops
leads
absenteeism
classes.
What
teachers
do
write
lecture
notes
by
hand
addition
making
active,
confirmed
handwritten
detailed
than
ones
permanent
recall.
Technology
breaks
reducing
multitasking:
after
period
without
there
break
check
text
messages
or
media."
When
reading
long
and
complex
texts,
students
may
disengage
miss
out
on
relevant
content.
In
order
to
prevent
disengaged
behavior
or
counteract
it
by
means
of
an
intervention,
is
ideally
detected
early
stage.
this
paper,
we
present
a
method
for
disengagement
detection
that
relies
only
the
classification
scrolling
data.
The
presented
transforms
data
into
time
series
representation,
where
each
point
represents
vertical
position
viewport
in
text
document.
This
representation
then
classified
using
algorithms.
We
evaluated
dataset
565
university
eight
different
texts.
compared
algorithm
performance
with
lengths,
sampling
strategies,
texts
make
up
training
data,
can
classify
70%
accuracy.
However,
also
observe
differences
depending
which
are
included
dataset.
discuss
our
results
propose
several
possible
improvements
enhance
method.