PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(1), P. e0316258 - e0316258
Published: Jan. 15, 2025
The
Covid-19
pandemic
has
sparked
renewed
attention
to
the
risks
of
online
misinformation,
emphasizing
its
impact
on
individuals’
quality
life
through
spread
health-related
myths
and
misconceptions.
In
this
study,
we
analyze
6
years
(2016–2021)
Italian
vaccine
debate
across
diverse
social
media
platforms
(Facebook,
Instagram,
Twitter,
YouTube),
encompassing
all
major
news
sources–both
questionable
reliable.
We
first
use
symbolic
transfer
entropy
analysis
production
time-series
dynamically
determine
which
category
sources,
or
reliable,
causally
drives
agenda
vaccines.
Then,
leveraging
deep
learning
models
capable
accurately
classify
vaccine-related
content
based
conveyed
stance
discussed
topic,
respectively,
evaluate
focus
various
topics
by
sources
promoting
opposing
views
compare
resulting
user
engagement.
Our
study
uncovers
misinformation
not
as
a
parasite
ecosystem
that
merely
opposes
perspectives
offered
mainstream
media,
but
an
autonomous
force
even
overwhelming
from
latter.
While
pervasiveness
is
evident
in
significantly
higher
engagement
compared
reliable
ones
(up
11
times
median
value),
our
findings
underscore
need
for
consistent
thorough
pro-vax
coverage
counter
imbalance.
This
especially
important
sensitive
topics,
where
risk
spreading
potentially
exacerbating
negative
attitudes
toward
vaccines
higher.
have
successfully
promoted
efficacy,
reducing
anti-vax
impact,
gaps
safety
led
highest
with
content.
Interactive Learning Environments,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 16
Published: Jan. 3, 2024
Misinformation
and
fake
news
are
severe
threats
to
society.
The
role
of
critical
reading
skills
is
crucial
in
the
battle
against
misinformation.
Despite
promising
results
game-based
interventions
mitigate
effects
misinformation,
corpus
research
on
games
supporting
needs
an
overview.
Therefore,
a
systematic
literature
review
was
conducted
analyze
how
have
been
used
tackle
misinformation
reveal
game
design
trends.
A
total
15
papers
eventually
met
defined
inclusion
criteria
were
analyzed.
revealed
that
use
education
had
emerged
recently
focused
mainly
news.
Most
grounded
inoculation
theory
consequently
designed
expose
players
weakened
doses
manipulation
techniques
build
resistance
them.
So
far,
studied
informal
settings
with
adult
participants.
median
sample
size
196,
playing
time
min
across
studies
reported
papers.
Although
all
reviewed
positive
outcomes,
learning
domain
not
yet
mature
enough
generalize
findings.
Philosophical Transactions of the Royal Society B Biological Sciences,
Journal Year:
2024,
Volume and Issue:
379(1897)
Published: Jan. 21, 2024
Interventions
to
counter
misinformation
are
often
less
effective
for
polarizing
content
on
social
media
platforms.
We
sought
overcome
this
limitation
by
testing
an
identity-based
intervention,
which
aims
promote
accuracy
incorporating
normative
cues
directly
into
the
user
interface.
Across
three
pre-registered
experiments
in
US
(
N
=
1709)
and
UK
804),
we
found
that
crowdsourcing
judgements
adding
a
Misleading
count
(next
Like
count)
reduced
participants'
reported
likelihood
share
inaccurate
information
about
partisan
issues
25%
(compared
with
control
condition).
The
was
also
more
when
it
reflected
in-group
norms
(from
fellow
Democrats/Republicans)
compared
of
general
users,
though
effect
absent
politically
polarized
context
(UK).
Moreover,
intervention
roughly
five
times
as
another
popular
(i.e.
nudge
sharing
5%).
Extreme
partisanship
did
not
undermine
effectiveness
intervention.
Our
results
suggest
interventions
based
science
can
be
than
identity-neutral
alternatives
contexts
(e.g.
US).
This
article
is
part
theme
issue
‘Social
norm
change:
drivers
consequences’.
Medical Principles and Practice,
Journal Year:
2024,
Volume and Issue:
33(3), P. 232 - 241
Published: Jan. 1, 2024
The
objectives
of
this
study
were
to
identify
common
social
media
misconceptions
about
COVID-19
vaccination
in
pregnancy,
explain
the
spread
misinformation,
and
solutions
guide
clinical
practice
policy.
JAMA,
Journal Year:
2024,
Volume and Issue:
331(22), P. 1961 - 1961
Published: May 16, 2024
This
JAMA
Insights
in
the
Communicating
Medicine
series
explores
concept
of
“prebunking,”
a
psychological
inoculation
technique
that
could
help
prevent
spread
misinformation.
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(1), P. e0316258 - e0316258
Published: Jan. 15, 2025
The
Covid-19
pandemic
has
sparked
renewed
attention
to
the
risks
of
online
misinformation,
emphasizing
its
impact
on
individuals’
quality
life
through
spread
health-related
myths
and
misconceptions.
In
this
study,
we
analyze
6
years
(2016–2021)
Italian
vaccine
debate
across
diverse
social
media
platforms
(Facebook,
Instagram,
Twitter,
YouTube),
encompassing
all
major
news
sources–both
questionable
reliable.
We
first
use
symbolic
transfer
entropy
analysis
production
time-series
dynamically
determine
which
category
sources,
or
reliable,
causally
drives
agenda
vaccines.
Then,
leveraging
deep
learning
models
capable
accurately
classify
vaccine-related
content
based
conveyed
stance
discussed
topic,
respectively,
evaluate
focus
various
topics
by
sources
promoting
opposing
views
compare
resulting
user
engagement.
Our
study
uncovers
misinformation
not
as
a
parasite
ecosystem
that
merely
opposes
perspectives
offered
mainstream
media,
but
an
autonomous
force
even
overwhelming
from
latter.
While
pervasiveness
is
evident
in
significantly
higher
engagement
compared
reliable
ones
(up
11
times
median
value),
our
findings
underscore
need
for
consistent
thorough
pro-vax
coverage
counter
imbalance.
This
especially
important
sensitive
topics,
where
risk
spreading
potentially
exacerbating
negative
attitudes
toward
vaccines
higher.
have
successfully
promoted
efficacy,
reducing
anti-vax
impact,
gaps
safety
led
highest
with
content.
