A broader view of misinformation reveals potential for intervention
Science,
Journal Year:
2024,
Volume and Issue:
384(6699), P. 959 - 960
Published: May 30, 2024
Misleading
claims
from
credible
sources
can
be
more
damaging
than
blatant
falsehoods
Language: Английский
Public Discourse Surrounding the 2025 California Wildfires: A Sentiment and Topic Analysis of High-Engagement YouTube Comments
Geosciences,
Journal Year:
2025,
Volume and Issue:
15(3), P. 100 - 100
Published: March 11, 2025
This
study
explores
public
discourse
surrounding
the
January
2025
California
wildfires
by
analyzing
high-engagement
YouTube
comments.
Leveraging
sentiment
analysis,
misinformation
detection,
and
topic
modeling,
this
research
identifies
dominant
emotional
tones,
thematic
patterns,
prevalence
of
in
discussions.
The
results
show
a
predominantly
neutral
to
positive
sentiment,
with
notable
intensity
misinformation-related
comments,
which
were
rare
but
impactful.
analysis
highlights
concerns
about
governance,
environmental
issues,
conspiracy
theories,
including
water
mismanagement
diversity-related
critiques.
These
findings
provide
insights
for
crisis
communication,
policymaking,
management
during
disasters,
emphasizing
importance
aligning
strategies
concerns.
Language: Английский
Nudge-based misinformation interventions are effective in information environments with low misinformation prevalence
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: May 20, 2024
Nudge-based
misinformation
interventions
are
presented
as
cheap
and
effective
ways
to
reduce
the
spread
of
online.
However,
despite
online
information
environments
typically
containing
relatively
low
volumes
misinformation,
most
studies
testing
effectiveness
nudge
present
equal
proportions
true
false
information.
As
nudges
can
be
highly
context-dependent,
it
is
imperative
validate
nudge-based
in
with
more
realistic
misinformation.
The
current
study
(N
=
1387)
assessed
a
combined
accuracy
social-norm
simulated
social-media
varying
(50%,
20%,
12.5%)
relative
non-news-based
(i.e.,
"social")
intervention
was
at
improving
sharing
discernment
conditions
lower
providing
ecologically
valid
support
for
use
counter
propagation
on
social
media.
Language: Английский
A technocognitive approach to detecting fallacies in climate misinformation
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Nov. 12, 2024
Abstract
Misinformation
about
climate
change
is
a
complex
societal
issue
that
requires
holistic,
interdisciplinary
solutions
at
the
intersection
between
technology
and
psychology.
One
proposed
solution
“technocognitive”
approach,
involving
synthesis
of
psychological
computer
science
research.
Psychological
research
has
identified
interventions
counter
misinformation
require
both
fact-based
(e.g.,
factual
explanations)
technique-based
explanations
misleading
techniques
logical
fallacies)
content.
However,
little
progress
been
made
on
documenting
detecting
fallacies
in
misinformation.
In
this
study,
we
apply
previously
developed
critical
thinking
methodology
for
deconstructing
order
to
develop
dataset
mapping
examples
reasoning
fallacies.
This
used
train
model
detect
We
evaluate
model’s
performance
using
$$\text
{F}_\text
{1}$$
F
1
score,
which
measures
how
well
detects
relevant
cases
while
avoiding
irrelevant
ones.
Our
study
shows
scores
are
2.5–3.5
times
better
than
previous
works.
The
easiest
include
fake
experts
anecdotal
arguments,
background
knowledge,
such
as
oversimplification,
misrepresentation,
slothful
induction,
relatively
more
difficult
detect.
lays
groundwork
development
where
automatically
detected
can
be
countered
with
generative
corrections.
Language: Английский
Causal inference in misinformation and conspiracy research
Published: Sept. 3, 2024
Psychological
research
has
provided
important
insights
into
the
processing
of
misinformation
and
conspiracy
theories.
Traditionally,
this
focused
on
randomized
laboratory
experiments
observational
(non-experimental)
studies
seeking
to
establish
causality
via
third-variable
adjustment.
However,
will
always
be
constrained
by
feasibility
ethical
considerations,
can
often
lead
unjustified
causal
conclusions
or
confused
analysis
goals.
We
argue
that
in
field
could
therefore
benefit
from
clearer
thinking
about
an
expanded
methodological
toolset
includes
natural
experiments.
Using
both
real
hypothetical
examples,
we
offer
accessible
introduction
counterfactual
framework
highlight
potential
instrumental
variable
analysis,
regression
discontinuity
design,
difference-in-differences,
synthetic
control
for
drawing
inferences.
hope
such
approach
contribute
greater
integration
amongst
various
misinformation-
conspiracy-
adjacent
disciplines,
thereby
leading
more
complete
theories
better
applied
interventions.
Language: Английский
Alert, but not alarmed: Electoral disinformation and trust during the 2023 Australian voice to parliament referendum
Policy & Internet,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 28, 2024
Abstract
In
2024
experts
highlight
misinformation
and
disinformation
“amid
elections”
as
the
top
short‐term
global
risk.
addressing
this
pressing
concern,
electoral
authorities
are
devising
strategies
to
counter
while
governments
consider
changes
public
policy
legislation.
Drawing
on
motivated
reasoning
theory,
study
assesses
impact
of
mitigation
measures
in
Australia
during
2023
referendum
campaign
–
establish
a
constitutionally
enshrined
Indigenous
Voice
Parliament
its
subsequent
impacts
trust
Australian
Electoral
Commission
(AEC).
Through
nationally
representative
survey
experiment
(
N
=
3825)
we
find
overall
high
AEC
with
having
small,
but
detectable
effect.
This
finds
level
“moral
panic”
regarding
disinformation's
threat
integrity,
at
least
setting.
However,
concerningly,
also
existing
communication
refutation
have
limited
countering
distrust
arising
after
attack,
suggesting
need
for
other
strategies.
Nonetheless,
underscores
resilience
processes
against
threats
serving
caution
excessive
legislative
reaction
problem.
Our
contributes
understanding
complex
interplay
between
information,
trust,
responses
challenges.
Language: Английский