On
digital
media,
algorithms
that
process
data
and
recommend
content
have
become
ubiquitous.
Their
fast
barely-regulated
adoption
has
raised
concerns
about
their
role
in
well-being
both
at
the
individual
collective
levels.
Algorithmic
mechanisms
on
media
are
powered
by
social
drivers,
creating
a
feedback
loop
complicates
research
to
disentangle
of
already
existing
phenomena.
Our
brief
overview
current
evidence
how
affect
well-being,
misinformation,
polarization
suggests
these
phenomena
is
far
from
straightforward
substantial
further
empirical
needed.
Existing
mostly
reinforce
which
stresses
importance
reflecting
larger
societal
context
including
individualism,
populist
politics,
climate
change.
We
present
concrete
ideas
questions
improve
platforms
investigate
problems
potential
solutions.
Finally,
we
discuss
shift
more
algorithmically-curated
brings
risks
opportunities
if
designed
for
flourishing
rather
than
short-term
profit.
Journalism Studies,
Год журнала:
2023,
Номер
24(6), С. 803 - 823
Опубликована: Март 16, 2023
In
the
battle
against
misinformation,
do
negative
spillover
effects
of
communicative
efforts
intended
to
protect
audiences
from
inaccurate
information
exist?
Given
relatively
limited
prevalence
misinformation
in
people's
news
diets,
this
study
explores
if
heightened
salience
as
a
persistent
societal
threat
can
have
an
unintended
effect
by
decreasing
credibility
factually
accurate
news.
Using
experimental
design
(N
=
1305),
we
test
whether
ratings
are
subject
exposure
corrective
information,
warnings,
and
media
literacy
(NML)
interventions
relativizing
threat.
Findings
suggest
that
like
warning
about
prime
general
distrust
authentic
news,
hinting
toward
deception
bias
context
fear
being
salient.
Next,
successfulness
NML
is
not
straight
forward
it
comes
avoiding
distorts
creditability
accuracy.
We
conclude
threats
order
may
just
be
remedied
fighting
false
but
also
reestablishing
trust
legitimate
New Media & Society,
Год журнала:
2023,
Номер
26(11), С. 6440 - 6461
Опубликована: Фев. 17, 2023
Alarmist
narratives
about
the
flow
of
misinformation
and
its
negative
consequences
have
gained
traction
in
recent
years.
If
these
fears
are
to
some
extent
warranted,
scientific
literature
suggests
that
many
them
exaggerated.
Why
people
so
worried
misinformation?
In
two
pre-registered
surveys
conducted
United
Kingdom
(
N
study_1
=
300,
study_2
300)
replicated
States
302,
299),
we
investigated
psychological
factors
associated
with
perceived
danger
how
it
contributes
popularity
alarmist
on
misinformation.
We
find
strongest,
most
reliable,
predictor
is
third-person
effect
(i.e.
perception
others
more
vulnerable
than
self)
and,
particular,
belief
“distant”
(as
opposed
family
friends)
The
societal
problems
simple
solutions
clear
causes
was
consistently,
but
weakly,
online
Other
factors,
like
attitudes
toward
new
technologies
higher
sensitivity
threats,
were
inconsistently,
Finally,
found
participants
who
report
being
willing
share
Our
findings
suggest
tap
into
our
tendency
view
other
as
gullible.
We
surveyed
150
academic
experts
on
misinformation
and
identified
areas
of
expert
consensus.
Experts
defined
as
false
misleading
information,
though
views
diverged
the
importance
intentionality
what
exactly
constitutes
misinformation.
The
most
popular
reason
why
people
believe
share
was
partisanship,
while
lack
education
one
least
reasons.
were
optimistic
about
effectiveness
interventions
against
supported
system-level
actions
misinformation,
such
platform
design
changes
algorithmic
changes.
agreed-upon
future
direction
for
field
to
collect
more
data
outside
United
States.
Abstract
The
rise
of
generative
AI
tools
has
sparked
debates
about
the
labeling
AI-generated
content.
Yet,
impact
such
labels
remains
uncertain.
In
two
preregistered
online
experiments
among
US
and
UK
participants
(N
=
4,976),
we
show
that
while
did
not
equate
“AI-generated”
with
“False,”
headlines
as
lowered
their
perceived
accuracy
participants’
willingness
to
share
them,
regardless
whether
were
true
or
false,
created
by
humans
AI.
was
three
times
smaller
than
them
false.
This
aversion
is
due
expectations
labeled
have
been
entirely
written
no
human
supervision.
These
findings
suggest
content
should
be
approached
cautiously
avoid
unintended
negative
effects
on
harmless
even
beneficial
effective
deployment
requires
transparency
regarding
meaning.
Alarmist
narratives
about
online
misinformation
continue
to
gain
traction
despite
evidence
that
its
prevalence
and
impact
are
overstated.
Drawing
on
research
examining
the
use
of
big
data
in
social
science
reception
studies,
we
identify
six
misconceptions
highlight
conceptual
methodological
challenges
they
raise.
The
first
set
concerns
circulation
misinformation.
First,
scientists
focus
media
because
it
is
methodologically
convenient,
but
not
just
a
problem.
Second,
internet
rife
with
or
news,
memes
entertaining
content.
Third,
falsehoods
do
spread
faster
than
truth;
how
define
(mis)information
influences
our
results
their
practical
implications.
second
Fourth,
people
believe
everything
see
internet:
sheer
volume
engagement
should
be
conflated
belief.
Fifth,
more
likely
uninformed
misinformed;
surveys
overestimate
misperceptions
say
little
causal
influence
Sixth,
people’s
behavior
overblown
as
often
‘preaches
choir’.
To
appropriately
understand
fight
misinformation,
future
needs
address
these
challenges.
Frontiers in Psychiatry,
Год журнала:
2023,
Номер
13
Опубликована: Янв. 5, 2023
The
rise
of
social
media
users
and
the
explosive
growth
in
misinformation
shared
across
platforms
have
become
a
serious
threat
to
democratic
discourse
public
health.
mentioned
implications
increased
demand
for
detection
intervention.
To
contribute
this
challenge,
we
are
presenting
systematic
scoping
review
psychological
interventions
countering
media.
was
conducted
(i)
identify
map
evidence
on
misinformation,
(ii)
compare
viability
media,
(iii)
provide
guidelines
development
effective
interventions.A
search
three
bibliographic
databases
(PubMed,
Embase,
Scopus)
additional
searches
Google
Scholar
reference
lists
were
conducted.3,561
records
identified,
75
which
met
eligibility
criteria
inclusion
final
review.
identified
during
can
be
classified
into
categories
distinguished
by
Kozyreva
et
al.:
Boosting,
Technocognition,
Nudging,
then
15
types
within
these.
Most
studied
not
implemented
tested
real
environment
but
under
strictly
controlled
settings
or
online
crowdsourcing
platforms.
presented
feasibility
assessment
implementation
insights
expressed
qualitatively
with
numerical
scoring
could
guide
future
that
successfully
platforms.The
provides
basis
further
research
counteracting
misinformation.
Future
should
aim
combine
Technocognition
Nudging
user
experience
services.[https://figshare.com/],
identifier
[https://doi.org/10.6084/m9.figshare.14649432.v2].
Perspectives on Psychological Science,
Год журнала:
2023,
Номер
19(5), С. 735 - 748
Опубликована: Июль 19, 2023
On
digital
media,
algorithms
that
process
data
and
recommend
content
have
become
ubiquitous.
Their
fast
barely
regulated
adoption
has
raised
concerns
about
their
role
in
well-being
both
at
the
individual
collective
levels.
Algorithmic
mechanisms
on
media
are
powered
by
social
drivers,
creating
a
feedback
loop
complicates
research
to
disentangle
of
already
existing
phenomena.
Our
brief
overview
current
evidence
how
affect
well-being,
misinformation,
polarization
suggests
these
phenomena
is
far
from
straightforward
substantial
further
empirical
needed.
Existing
mostly
reinforce
finding
stresses
importance
reflecting
larger
societal
context
encompasses
individualism,
populist
politics,
climate
change.
We
present
concrete
ideas
questions
improve
platforms
investigate
problems
potential
solutions.
Finally,
we
discuss
shift
more
algorithmically
curated
brings
risks
opportunities
if
designed
for
flourishing
rather
than
short-term
profit.
Journal of Research in Science Teaching,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 27, 2024
Abstract
Students
frequently
turn
to
the
internet
for
information
about
a
range
of
scientific
issues.
However,
they
can
find
it
challenging
evaluate
credibility
find,
which
may
increase
their
susceptibility
mis‐
and
disinformation.
This
exploratory
study
reports
findings
from
an
instructional
intervention
designed
teach
high
school
students
engage
in
online
reasoning
(SOR),
set
competencies
evaluating
sources
on
internet.
Forty‐three
ninth
grade
participated
eleven
activities.
They
completed
pre
post
constructed
response
tasks
assess
three
constructs:
conflicts
interest,
relevant
expertise,
alignment
with
consensus.
A
subset
(
n
=
6)
also
think‐aloud
where
evaluated
websites
varying
credibility.
Students'
written
responses
screen‐capture
recordings
were
scored,
coded,
analyzed
using
mixed‐methods
approach.
Findings
demonstrate
that
after
intervention:
(1)
students'
assessment
scores
improved
significantly
all
tasks,
(2)
ability
distinguish
between
credibility,
(3)
more
used
strategies
outside
information.
Areas
student
growth
are
identified,
such
as
improving
coordinated
use
criteria
strategies.
These
results
suggest
teaching
information,
along
strategies,
has
potential
help
encountered
In
two
online
experiments
(N
=
2,735),
we
investigated
whether
forced
exposure
to
high
proportions
of
false
news
could
have
deleterious
effects
by
sowing
confusion
and
fueling
distrust
in
news.
a
between-subjects
design
where
U.S.
participants
rated
the
accuracy
true
news,
manipulated
headlines
were
exposed
(17%,
33%,
50%,
66%
83%).
We
found
that
higher
decreased
trust
but
did
not
affect
participants’
perceived
headlines.
While
had
no
effect
on
overall
ability
discern
between
they
made
more
overconfident
their
discernment
ability.
Therefore,
may
increasing
belief
falsehoods,
overconfidence
eroding
Although
are
only
able
shed
light
one
causal
pathway,
from
environment
attitudes,
this
can
help
us
better
understand
external
or
supply-side
changes
quality.
Social Media + Society,
Год журнала:
2023,
Номер
9(4)
Опубликована: Окт. 1, 2023
As
Russia
launched
its
full-scale
invasion
of
Ukraine
in
February
2022,
social
media
was
rife
with
pro-Kremlin
disinformation.
To
effectively
tackle
the
issue
state-sponsored
disinformation
campaigns,
this
study
examines
underlying
reasons
why
some
individuals
are
susceptible
to
false
claims
and
explores
ways
reduce
their
susceptibility.
It
uses
linear
regression
analysis
on
data
from
a
national
survey
1,500
adults
(18+)
examine
factors
that
predict
belief
narratives
regarding
Russia–Ukraine
war.
Our
research
finds
Pro-Kremlin
is
politically
motivated
linked
users
who:
(1)
hold
conservative
views,
(2)
trust
partisan
media,
(3)
frequently
share
political
opinions
media.
findings
also
show
exposure
positively
associated
Conversely,
mainstream
negatively
disinformation,
offering
potential
way
mitigate
impact.