Social Sciences,
Journal Year:
2022,
Volume and Issue:
11(4), P. 145 - 145
Published: March 23, 2022
The
COVID-19
pandemic
has
disrupted
economies
at
a
scale
unprecedented
in
recent
history,
and
vaccination
is
deemed
the
only
option
to
ultimately
halt
its
spread.
However,
vaccine
hesitancy
remains
global
issue
that
must
be
addressed.
If
left
unaddressed,
it
will
impede
recovery
of
both
economy
public
health
following
pandemic.
To
better
understand
issue,
on
premise
individuals
have
layers
social
ties
achieve
common
goals,
capital
theory
proposed
examine
connections
associated
with
acceptance.
A
case
study
Republic
Philippines’
program,
form
an
online
survey
involving
430
participants,
was
conducted
using
logistic
binomial
regression
analyze
data.
Findings
reveal
people’s
decisions
are
influenced
by
their
perceptions
regarding
vaccines,
such
as
one’s
ties’
trust
safety
use,
benefits
vaccines
can
offer,
role
media
information
dissemination,
influence
networks.
Insights
these
findings
also
discussed.
Nature Human Behaviour,
Journal Year:
2022,
Volume and Issue:
7(1), P. 74 - 101
Published: Nov. 7, 2022
Abstract
One
of
today’s
most
controversial
and
consequential
issues
is
whether
the
global
uptake
digital
media
causally
related
to
a
decline
in
democracy.
We
conducted
systematic
review
causal
correlational
evidence
(
N
=
496
articles)
on
link
between
use
different
political
variables.
Some
associations,
such
as
increasing
participation
information
consumption,
are
likely
be
beneficial
for
democracy
were
often
observed
autocracies
emerging
democracies.
Other
declining
trust,
populism
growing
polarization,
detrimental
more
pronounced
established
While
impact
systems
depends
specific
variable
system
question,
several
variables
show
clear
directions
associations.
The
calls
research
efforts
vigilance
by
governments
civil
societies
better
understand,
design
regulate
interplay
New Media & Society,
Journal Year:
2022,
Volume and Issue:
25(11), P. 3165 - 3188
Published: Nov. 23, 2022
An
increasingly
influential
strand
of
research
on
social
media
relies
the
concept
affordances
to
account
for
effects.
However,
hindering
possibility
a
unified
theory
in
is
conceptual
blurring
surrounding
concept.
This
article
engages
comprehensive
review
literature
media,
aiming
provide
an
overview
current
state
art
and
clarify
use
Through
systematic
review,
characteristics
are
uncovered:
most
prominent
areas
application,
approaches,
dominant
typologies
conceptualisations.
Significant
blurriness
term
‘affordance’
identified
as
well
inconsistent
research.
To
tackle
these
problems,
definition
proposed
based
synthesis
knowledge
technology
media.
The
suggested
captures
core
aspects
reduce
ambiguity
further
provides
groundwork
future
Journalism,
Journal Year:
2022,
Volume and Issue:
24(6), P. 1174 - 1192
Published: May 16, 2022
This
study
sought
to
examine
the
potential
role
of
news
avoidance
in
belief
COVID-19
misinformation.
Using
two-wave
panel
survey
data
Singapore,
we
found
that
information
overload
is
associated
with
fatigue
as
well
difficulty
analyzing
information.
News
and
analysis
paralysis
also
subsequently
led
avoidance,
which
increased
However,
this
link
present
only
among
those
who
are
frequently
exposed
misinformation
about
COVID-19.
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: May 5, 2023
By
conducting
large-scale
surveys
in
Germany
and
the
United
Kingdom,
we
investigate
individual-level
determinants
of
ability
to
detect
fake
news
inclination
share
it.
We
distinguish
between
deliberate
accidental
sharing
news.
document
that
is
much
more
common
than
sharing.
Furthermore,
our
results
indicate
older,
male,
high-income,
politically
left-leaning
respondents
better
also
find
decreases
with
age
prevalent
among
right-leaning
respondents.
Deliberate
younger
Kingdom.
Finally,
imply
have
a
good
assessment
their
news:
those
identified
as
sharers
were
likely
admitted
having
shared
Future Internet,
Journal Year:
2021,
Volume and Issue:
13(10), P. 244 - 244
Published: Sept. 23, 2021
Social
media
platforms
such
as
Facebook,
Instagram,
and
Twitter
are
an
inevitable
part
of
our
daily
lives.
These
social
effective
tools
for
disseminating
news,
photos,
other
types
information.
In
addition
to
the
positives
convenience
these
platforms,
they
often
used
propagating
malicious
data
or
This
misinformation
may
misguide
users
even
have
dangerous
impact
on
society’s
culture,
economics,
healthcare.
The
propagation
this
enormous
amount
is
difficult
counter.
Hence,
spread
related
COVID-19
pandemic,
its
treatment
vaccination
lead
severe
challenges
each
country’s
frontline
workers.
Therefore,
it
essential
build
machine-learning
(ML)
misinformation-detection
model
identifying
regarding
COVID-19.
paper,
we
propose
three
detection
models.
proposed
models
long
short-term
memory
(LSTM)
networks,
which
a
special
type
RNN;
multichannel
convolutional
neural
network
(MC-CNN);
k-nearest
neighbors
(KNN).
Simulations
were
conducted
evaluate
performance
in
terms
various
evaluation
metrics.
obtained
superior
results
those
from
literature.
Vaccines,
Journal Year:
2022,
Volume and Issue:
10(2), P. 261 - 261
Published: Feb. 9, 2022
The
refusal
to
be
inoculated
with
the
anti-COVID-19
vaccine
by
a
part
of
Romanian
population
becomes
barrier
against
controlling
and
stopping
this
particularly
infectious
virus.
rapid
evolution
COVID-19
vaccines
has
created
confusion
regarding
health
safety.
Many
citizens
refuse
vaccination
because
fears
generated
uncertainties
based
on
information
obtained
from
fake
news.
At
present
moment,
January
2022,
Romania
one
lowest
rates
in
European
Union,
below
45%
total
population.
In
our
study,
we
want
identify
determining
factors
behind
vaccination,
offering
sociological
analysis
that,
hope,
will
help
understand
phenomenon.
revealed
that
81%
respondents
trust
mandatory
under
national
scheme
57.3%
optional
ones
other
than
(like
Rotavirus,
Hepatitis
A
B,
Influenza,
Meningococcal,
Pneumococcal,
etc.)
have
less
confidence
vaccines.
study
also
reveals
very
high
percentage
who
news
claims.
