Susceptibility to online misinformation: A systematic meta-analysis of demographic and psychological factors
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(47)
Published: Nov. 12, 2024
Nearly
five
billion
people
use
and
receive
news
through
social
media
there
is
widespread
concern
about
the
negative
consequences
of
misinformation
on
(e.g.,
election
interference,
vaccine
hesitancy).
Despite
a
burgeoning
body
research
misinformation,
it
remains
largely
unclear
who
susceptible
to
why.
To
address
this,
we
conducted
systematic
individual
participant
data
meta-analysis
covering
256,337
unique
choices
made
by
11,561
US-based
participants
across
31
experiments.
Our
reveals
impact
key
demographic
psychological
factors
online
veracity
judgments.
We
also
disentangle
ability
discern
between
true
false
(discrimination
ability)
from
response
bias,
that
is,
tendency
label
as
either
(true-news
bias)
or
(false-news
bias).
Across
all
studies,
were
well
above-chance
accurate
for
both
(68.51%)
(67.24%)
headlines.
find
older
age,
higher
analytical
thinking
skills,
identifying
Democrat
are
associated
with
discrimination
ability.
Additionally,
age
skills
false-news
bias
(caution).
In
contrast,
ideological
congruency
(alignment
participants’
ideology
news),
motivated
reflection
(higher
being
greater
effect),
self-reported
familiarity
true-news
(naïvety).
experiments
MTurk
show
than
those
Lucid.
Displaying
sources
alongside
headlines
improved
ability,
Republicans
benefiting
more
source
display.
results
provide
critical
insights
can
help
inform
design
targeted
interventions.
Language: Английский
Susceptibility to Online Misinformation: A Systematic Meta-Analysis of Demographic and Psychological Factors
Published: May 3, 2024
Nearly
five
billion
people
use
and
receive
news
through
social
media
there
is
widespread
concern
about
the
negative
consequences
of
misinformation
on
(e.g.,
election
interference,
vaccine
hesitancy).
Despite
a
burgeoning
body
research
misinformation,
it
remains
largely
unclear
who
susceptible
to
why.
To
address
this,
we
conducted
systematic
individual
participant
data
meta-analysis
covering
256,337
unique
choices
made
by
11,561
US-based
participants
across
31
experiments.
Our
reveals
impact
key
demographic
psychological
factors
online
veracity
judgments.
We
also
disentangle
ability
discern
between
true
false
(discrimination
ability)
from
response
bias,
that
is,
tendency
label
as
either
(true-news
bias)
or
(false-news
bias).
Across
all
studies,
were
well
above-chance
accurate
for
both
(68.51%)
(67.24%)
headlines.
find
older
age,
higher
analytical
thinking
skills,
identifying
Democrat
are
associated
with
discrimination
ability.
Additionally,
age
skills
false-news
bias
(caution).
In
contrast,
ideological
congruency
(alignment
participants’
ideology
news),
motivated
reflection
(higher
being
greater
effect),
self-reported
familiarity
true-news
(naïvety).
experiments
MTurk
show
than
those
Lucid.
Displaying
sources
alongside
headlines
improved
ability,
Republicans
benefiting
more
source
display.
results
provide
critical
insights
can
help
inform
design
targeted
interventions.
Language: Английский