Science,
Journal Year:
2023,
Volume and Issue:
381(6656), P. 404 - 408
Published: July 27, 2023
We
studied
the
effects
of
exposure
to
reshared
content
on
Facebook
during
2020
US
election
by
assigning
a
random
set
consenting,
US-based
users
feeds
that
did
not
contain
any
reshares
over
3-month
period.
find
removing
substantially
decreases
amount
political
news,
including
from
untrustworthy
sources,
which
are
exposed;
overall
clicks
and
reactions;
reduces
partisan
news
clicks.
Further,
we
observe
produces
clear
in
knowledge
within
sample,
although
there
is
some
uncertainty
about
how
this
would
generalize
all
users.
Contrary
expectations,
treatment
does
significantly
affect
polarization
or
measure
individual-level
attitudes.
Trends in Cognitive Sciences,
Journal Year:
2021,
Volume and Issue:
25(5), P. 388 - 402
Published: March 18, 2021
Recent
evidence
contradicts
the
common
narrative
that
partisanship
and
politically
motivated
reasoning
explain
why
people
fall
for
'fake
news'.Poor
truth
discernment
is
linked
to
a
lack
of
careful
relevant
knowledge,
as
well
use
familiarity
source
heuristics.There
also
large
disconnect
between
what
believe
they
will
share
on
social
media,
this
largely
driven
by
inattention
rather
than
purposeful
sharing
misinformation.Effective
interventions
can
nudge
media
users
think
about
accuracy,
leverage
crowdsourced
veracity
ratings
improve
ranking
algorithms.
We
synthesize
burgeoning
literature
investigating
false
or
highly
misleading
news
online.
Contrary
whereby
politics
drives
susceptibility
fake
news,
are
'better'
at
discerning
from
falsehood
(despite
greater
overall
belief)
when
evaluating
concordant
news.
Instead,
poor
associated
with
heuristics
such
familiarity.
Furthermore,
there
substantial
media.
This
dissociation
inattention,
more
so
misinformation.
Thus,
successfully
focus
accuracy.
Crowdsourced
be
leveraged
Fabricated
nothing
new.
For
example,
in
1835
The
Sun
newspaper
New
York
published
six
articles
purported
life
moon
which
came
known
'Great
Moon
Hoax'.
During
2016
US
Presidential
Election
UK
Brexit
Referendum,
however,
different
form
(see
Glossary)
rose
prominence
(Box
1):
political
'news'
stories,
primarily
originating
[1.Lazer
D.
et
al.The
science
news.Science.
2018;
359:
1094-1096Crossref
PubMed
Scopus
(727)
Google
Scholar].
Concern
was
redoubled
2020
face
widespread
misinformation
disinformation
[2.Wardle
C.
Information
Disorder:
Essential
Glossary,
Shorenstein
Center
Media,
Politics,
Public
Policy.
Harvard
Kennedy
School,
2018Google
Scholar]
coronavirus
disease
2019
(COVID-19)
pandemic
[3.Loomba
S.
al.Measuring
impact
COVID-19
vaccine
vaccination
intent
USA.Nat.
Hum.
Behav.
2021;
(Published
online
February
5,
2021.
https://doi.org/10.1038/s41562-021-01056-1)Crossref
(0)
[4.Pennycook
G.
Rand
D.G.
Examining
beliefs
voter
fraud
wake
Election.Harvard
Sch.
Misinformation
Rev.
2:
1-19Google
Misleading
hyperpartisan
yellow
journalism
[5.Kaplan
R.L.
Yellow
journalism.in:
Donsbach
W.
International
Encyclopedia
Communication.
John
Wiley
&
Sons,
2008Crossref
Scholar],
related
forms
problematic
content
likely
sources
polarization
[6.Faris
R.M.
al.Partisanship,
Propaganda,
Disinformation:
Online
Media
U.S.
Election.
Berkman
Klein
Internet
Society,
2017Google
What
it
human
psychology
–
its
interaction
[7.Lewandowsky
al.Technology
Democracy.
Understanding
Influence
Technologies
Political
Behaviour
Decision-Making,
EU
Science
Hub2020Google
Scholar,8.Kozyreva
A.
al.Citizens
versus
internet:
confronting
digital
challenges
cognitive
tools.Psychol.
Sci.
Interest.
2020;
21:
103-156Crossref
(2)
explains
failure
distinguish
accurate
inaccurate
online?
Apart
being
theoretical
interest,
question
has
practical
consequences:
developing
effective
against
depends
understanding
underlying
psychology.Box
1Prevalence
Fake
NewsVarious
analyses
web
browsing
data
have
been
used
an
attempt
determine
prevalence
often
using
data,
archives
fact-checking
websites,
survey,
Allcott
Gentzkow
[19.Allcott
H.
M.
Social
election.J.
Econ.
Perspect.
2017;
31:
211-236Crossref
(1218)
estimated
particular
set
stories
were
shared
Facebook
least
38
million
times
3
months
leading
up
election
(30
favoring
Donald
Trump).
estimate
represents
lower
bound
since
only
reflects
specific
news.Other
focused
publishers
(i.e.,
websites)
individual
articles.
Based
Twitter
[117.Grinberg
N.
al.Fake
twitter
during
election.Science.
2019;
363:
374-378Crossref
(206)
[77.Allen
J.
al.Scaling
wisdom
crowds.PsyArXiv.
October
2,
2020.
http://dx.doi.org/10.31234/osf.io/9qdza)Google
Scholar,118.Guess
A.M.
al.Less
you
think:
predictors
dissemination
Facebook.Sci.
Adv.
5eaau4586Crossref
(4)
[89.Guess
al.Exposure
untrustworthy
websites
election.Nat.
4:
472-480Crossref
(21)
these
studies
concluded
sites
small
proportion
most
people's
diets,
average
user
exposed
little
election.These
important
limitations,
because
available
concern
visit
click
through
off-platform.
But,
course,
vast
majority
time
simply
read
post
without
clicking
link
actual
website.
so-called
news'
one
category
misinformation,
much
larger
diets
Scholar,119.Bradshaw
al.Sourcing
automation
information
over
United
States,
2016–2018.Polit.
Commun.
37:
173-193Crossref
(6)
on-platform
exposure
remains
open
[120.Rogers
R.
scale
Facebook's
problem
upon
how
classified.Harvard
1:
1-15Google
feel
premature
conclude
rates
minimal,
thus
not
(also
Scholar]).
especially
true
looking
beyond
new
threats
claims
Scholar,44.Pennycook
al.Fighting
media:
experimental
scalable
accuracy
intervention.Psychol.
770-780Crossref
(73)
gained
traction
amplification
(mostly
Republican)
elites.Accordingly,
(and
broadly)
equally
distributed
across
all
users.
In
particular,
conservatives
older
adults
far
Scholar,89.Guess
Scholar,117.Grinberg
Studies
found
associations
conservatism
belief
USA
[20.Pennycook
Lazy,
biased:
partisan
better
explained
reasoning.Cognition.
188:
39-50Crossref
(177)
Chile
[121.Halpern
al.From
conspiracy
theories
trust
others:
factors
influence
exposure,
believing
news.in:
Meiselwitz
Computing
Media.
Design,
Human
Behavior
Analytics.
HCII
2019.
Lecture
Notes
Computer
Science.
vol
11578.
Springer,
Cham2019:
217-232Crossref
(5)
Germany
[122.Zimmermann
F.
Kohring
Mistrust,
disinforming
vote
choice:
panel
survey
origins
consequences
2017
German
Parliamentary
Election.Polit.
215-237Crossref
(8)
but
Hungary
[24.Faragó
L.
al.We
we
doctored
ourselves:
connection
news.Soc.
Psychol.
(Gott).
51:
77-90Crossref
who
engage
less
lower-quality
[71.Mosleh
al.Cognitive
reflection
correlates
behavior
Twitter.Nat.
12:
1-10Crossref
even
if
exposures
substantially
higher
subpopulations
may
particularly
vulnerable
content.
Finally,
originates
sometimes
transitions
audiences
picked
traditional
outlets
either
via
direct
repetition
debunking
(which
result
inadvertent
amplification).
Various
Other
election.
These
elites.
Accordingly,
here
presented
However,
come
many
forms,
several
literatures
clearly
related,
outside
scope
our
review
(although
draw
some
connections
throughout).
include
work
[9.Sunstein
C.R.
Vermeule
Conspiracy
theories:
causes
cures.J.
Polit.
Philos.
2009;
17:
202-227Crossref
(126)
superstition
[10.Lindeman
Aarnio
K.
Superstitious,
magical,
paranormal
beliefs:
An
integrative
model.J.
Res.
Pers.
2007;
41:
731-744Crossref
(118)
rumors
[11.Berinsky
A.J.
Rumors
health
care
reform:
experiments
misinformation.Br.
47:
241-262Crossref
(171)
bullshit
receptivity
[12.Pennycook
al.On
reception
detection
pseudo-profound
bullshit.Judgm.
Decis.
Mak.
2015;
10:
549-563Google
misperceptions
[13.Amazeen
M.A.
al.Correcting
consumer
misperceptions:
effectiveness
effects
rating
contextual
correction
formats.J.
Mass
Q.
95:
28-48Google
among
others.
examples
organized
campaigns
(e.g.,
Russian
Research
Agency,
relating
global
warming
Election).
When
considering
believe,
essential
two
fundamentally
ways
conceptualize
One
approach
'discernment',
extent
believed
'relative'
Discernment,
typically
calculated
minus
(akin
'sensitivity'
d'
signal
theory
[14.Wickens
T.
Elementary
Signal
Detection
Theory.
Oxford
University
Press,
2002Google
Scholar])
captures
'overall'
one's
gives
insight
into
failures
('falling
news').
Another
belief,
regardless
(calculated
sum
akin
calculating
'bias'
Critically,
alter
need
ability
tell
[15.Batailler,
al.
A
identification
(in
press)Google
Scholar]:
increasing
decreasing
headlines
equivalent
no
effect
does
affect
discernment).
popular
discern
rooted
motivations.
argued
consumers
(mis)information
[16.Kahan
D.M.
Misconceptions,
logic
identity-protective
cognition.in:
SSRN
Electron.
Cultural
Cognition
Project
Working
Paper
Series
No.
164,
Yale
Law
605,
Economics
575.
2017Crossref
'identity-protective
cognition'
faced
valenced
content,
leads
them
overly
consistent
their
identity
skeptical
inconsistent
[17.Kahan
Ideology,
reasoning,
reflection.Judgm.
2013;
8:
407-424Google
argues
place
loyalty
identities
above
fail
favor
ideologically
[18.Van
Bavel
J.J.
Pereira
brain:
Identity-based
model
belief.Trends
Cogn.
22:
213-224Abstract
Full
Text
PDF
(68)
accounts
contend
strong
causal
motivation
dominant
factor
explaining
It
belief:
People
(versus
discordant)
Scholar,
20.Pennycook
21.Pennycook
al.Shifting
attention
reduce
online.Nature.
https://doi.org/10.1038/s41586-021-03344-2Crossref
22.Pereira
al.Identity
concerns
drive
news.PsyArXiv.
September
18,
2018.
http://dx.doi.org/10.31234/OSF.IO/7VC5D)Google
23.Vegetti
Mancosu
sophistication
misinformation.Polit.
678-695Crossref
(1)
24.Faragó
25.Drummond
al.Limited
climate
change.Environ.
081003Crossref
(Figure
1B
).
note,
concordance
smaller
Scholar,21.Pennycook
Scholar,26.Bago
B.
fast
slow:
deliberation
reduces
(but
true)
headlines.J.
Exp.
Gen.
149:
1608-1613Crossref
(22)
other
words,
discordant
trump
truth.
necessarily
indicate
reasoning.
Such
differences
could
arise
unbiased
rational
Bayesian)
inference
built
prior
factual
differ
party
lines
owing
environments)
[27.Tappin
B.M.
al.Thinking
inferences
reasoning:
paradigmatic
study
designs
undermine
inference.Curr.
Opin.
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al.Rethinking
reasoning.J.
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http://dx.doi.org/10.31234/OSF.IO/YUZFJ)Crossref
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al.Bayesian
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thinking
updating.Cognition.
204:
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Jost
J.T.
False
equivalence:
liberals
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biased?.Perspect.
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Green
Misperceptions
perceptual
bias.Annu.
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(185)
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T.J.
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public
opinion
formation.Polit.
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Motivated
skepticism
inevitable
conviction?
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politics.Crit.
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2
details).Box
2Challenges
Identifying
Politically
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observation
ideology/partisanship
ideology/partisanship)
taken
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Scholar,123.Ditto
P.H.
al.At
bias
bipartisan:
meta-analytic
comparison
conservatives.Perspect.
273-291Crossref
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C.J.
Winegard
Tribalism
war
peace:
nature
evolution
ideological
epistemology
significance
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1-22Crossref
pattern
actually
provide
clear
politicall
American Political Science Review,
Journal Year:
2021,
Volume and Issue:
115(3), P. 999 - 1015
Published: May 6, 2021
Abstract
The
rise
of
“fake
news”
is
a
major
concern
in
contemporary
Western
democracies.
Yet,
research
on
the
psychological
motivations
behind
spread
political
fake
news
social
media
surprisingly
limited.
Are
citizens
who
share
ignorant
and
lazy?
they
fueled
by
sinister
motives,
seeking
to
disrupt
status
quo?
Or
do
seek
attack
partisan
opponents
an
increasingly
polarized
environment?
This
article
first
test
these
competing
hypotheses
based
careful
mapping
profiles
over
2,300
American
Twitter
users
linked
behavioral
sharing
data
sentiment
analyses
more
than
500,000
story
headlines.
findings
contradict
ignorance
perspective
but
provide
some
support
for
disruption
strong
polarization
perspective.
Thus,
individuals
report
hating
their
are
most
likely
selectively
content
that
useful
derogating
opponents.
Overall,
our
show
same
drive
other
forms
behavior,
including
from
traditional
credible
sources.
Social Science & Medicine,
Journal Year:
2022,
Volume and Issue:
301, P. 114912 - 114912
Published: March 14, 2022
Belief
in
COVID-19
conspiracy
theories
can
have
severe
consequences;
it
is
therefore
crucial
to
understand
this
phenomenon,
its
similarities
with
general
belief,
but
also
how
context-dependent.
The
aim
of
systematic
review
provide
a
comprehensive
overview
the
available
research
on
beliefs
and
synthesise
make
widely
accessible.
We
present
synthesis
belief
from
85
international
articles,
identified
appraised
through
review,
line
contemporary
protocols
guidelines
for
reviews.
identify
number
potential
antecedents
(individual
differences,
personality
traits,
demographic
variables,
attitudes,
thinking
styles
biases,
group
identity,
trust
authorities,
social
media
use),
their
consequences
(protective
behaviours,
self-centred
misguided
behaviours
such
as
hoarding
pseudoscientific
health
practices,
vaccination
intentions,
psychological
wellbeing,
other
negative
discrimination
violence),
effect
sizes
relations
beliefs.
conclude
that
understanding
both
they
are
context-dependent
highly
important
tackle
them,
whether
pandemic
or
future
threats,
climate
change.
Science Advances,
Journal Year:
2022,
Volume and Issue:
8(34)
Published: Aug. 24, 2022
Online
misinformation
continues
to
have
adverse
consequences
for
society.
Inoculation
theory
has
been
put
forward
as
a
way
reduce
susceptibility
by
informing
people
about
how
they
might
be
misinformed,
but
its
scalability
elusive
both
at
theoretical
level
and
practical
level.
We
developed
five
short
videos
that
inoculate
against
manipulation
techniques
commonly
used
in
misinformation:
emotionally
manipulative
language,
incoherence,
false
dichotomies,
scapegoating,
ad
hominem
attacks.
In
seven
preregistered
studies,
i.e.,
six
randomized
controlled
studies
(
Proceedings of the National Academy of Sciences,
Journal Year:
2021,
Volume and Issue:
118(27)
Published: June 21, 2021
Collective
behavior
provides
a
framework
for
understanding
how
the
actions
and
properties
of
groups
emerge
from
way
individuals
generate
share
information.
In
humans,
information
flows
were
initially
shaped
by
natural
selection
yet
are
increasingly
structured
emerging
communication
technologies.
Our
larger,
more
complex
social
networks
now
transfer
high-fidelity
over
vast
distances
at
low
cost.
The
digital
age
rise
media
have
accelerated
changes
to
our
systems,
with
poorly
understood
functional
consequences.
This
gap
in
knowledge
represents
principal
challenge
scientific
progress,
democracy,
address
global
crises.
We
argue
that
study
collective
must
“crisis
discipline”
just
as
medicine,
conservation,
climate
science
have,
focus
on
providing
actionable
insight
policymakers
regulators
stewardship
systems.
Nature Climate Change,
Journal Year:
2022,
Volume and Issue:
12(12), P. 1114 - 1121
Published: Nov. 24, 2022
Abstract
Climate
change
and
political
polarization
are
two
of
the
twenty-first
century’s
critical
socio-political
issues.
Here
we
investigate
their
intersection
by
studying
discussion
around
United
Nations
Conference
Parties
on
Change
(COP)
using
Twitter
data
from
2014
to
2021.
First,
reveal
a
large
increase
in
ideological
during
COP26,
following
low
between
COP20
COP25.
Second,
show
that
this
is
driven
growing
right-wing
activity,
fourfold
since
COP21
relative
pro-climate
groups.
Finally,
identify
broad
range
‘climate
contrarian’
views
emphasizing
theme
hypocrisy
as
topic
cross-ideological
appeal;
contrarian
accusations
have
become
key
themes
climate
2019.
With
future
action
reliant
negotiations
at
COP27
beyond,
our
results
highlight
importance
monitoring
its
impacts
public
discourse.