Current Opinion in Psychology,
Год журнала:
2024,
Номер
59, С. 101852 - 101852
Опубликована: Авг. 3, 2024
Misinformation
has
risen
in
recent
years,
negatively
affecting
domains
ranging
from
politics
to
health.
To
curb
the
spread
of
misinformation
it
is
useful
consider
why,
how,
and
when
people
decide
share
information.
Here
we
suggest
that
information-sharing
decisions
are
value-based
choices,
which
sharers
strive
maximize
rewards
minimize
losses
themselves
and/or
others.
These
outcomes
can
be
tangible,
form
monetary
or
losses,
intangible,
social
feedback.
On
media
platforms
these
not
clearly
tied
accuracy
information
shared.
Thus,
have
little
incentive
avoid
disseminating
misinformation.
Based
on
this
framework,
propose
ways
nudge
prioritize
during
information-sharing.
Sosyal Mucit Academic Review,
Год журнала:
2023,
Номер
4(2), С. 164 - 188
Опубликована: Июнь 29, 2023
Bu
çalışmada,
post-truth
kavramına
dair
yapılan
çalışmalar
özelinde
kavramın
evriminin
ve
çalışmaların
haritasını
çıkarmak
hedeflenmiştir.
Çalışmada,
nicel
veriler
kapsamında,
çağın
ruhunu
tasvirleyen
kilit
kavramlardan
ya
da
hakikat
ötesine
ilişkin
mevcut
yazının
bibliyometrik
analiz
kullanılarak
sistemli
bir
özetinin
araştırmacıların
dikkatine
sunulması,
kavramla
ilgili
çalışma
eğilimlerinin
boşlukların
tespiti
amaçlanmıştır.
Analiz
birimi
olarak
Web
of
Science
veri
tabanında
taranan
2006-2023
yılları
arasında
yayınlanmış
farklı
türdeki
eserlerin
verisi
baz
alınmıştır.
Post-truth
ile
1652
eserin
yayın
yıllarına
göre
dağılımına
bakıldığında,
en
fazla
2018
(294
eser),
2019
(361
eser)
2020
(341
yıllarında
yoğunlaşma
olduğu;
eser
veren
isimlerin
Lee
Mcintyre,
Bram
Buscher
Leonardo
Ambasciano
türünün
ağırlıklı
dergi
makalesi
(1215),
editoryal
yazı
(210)
kitap
bölümü
(134)
türünde
araştırma
alanları
açısından
iletişim
(300),
eğitim
bilimleri
(182),
felsefe
(151),
siyaset
bilimi
(145)
interdisipliner
sosyal
bilim
(108)
alanlarında
verildiği;
yayınların
ülkelere
dağılımı
konusunda
liderliğin
ABD
(318),
İngiltere
(251)
İspanya
(164)
menşeli
yayıncılarda
başta
İngilizce
(1381)
olmak
üzere
İspanyolca
(139)
Portekizce
(39)
eserler
yayınlandığı;
SSCI
(647),
ESCI
(590)
AHCI
(226)
endekslerde
ağırlıkta
olduğu
tespit
edilmiştir.
yayınlarda
sık
kullanılan
anahtar
sözcüklere
bakıldığında
563
tekrar
(hakikat
ötesi),
223
fake
news
(sahte
haber),
106
social
media
(sosyal
medya),
95
science
(bilim)
84
truth
(hakikat)
ifadeleri
başı
çekmektedir.
Nature,
Год журнала:
2024,
Номер
630(8015), С. 29 - 32
Опубликована: Июнь 5, 2024
In
today's
polarized
political
climate,
researchers
who
combat
mistruths
have
come
under
attack
and
been
labelled
as
unelected
arbiters
of
truth.
But
the
fight
against
misinformation
is
valid,
warranted
urgently
required.
Cogent Social Sciences,
Год журнала:
2024,
Номер
10(1)
Опубликована: Янв. 25, 2024
This
study
explores
the
awareness
of
fake
news
and
trust
dynamics
among
University
students
on
TikTok.
Utilizing
qualitative
research
through
semi-structured
interviews
with
in
Vietnam,
findings
reveal
a
generally
acknowledged
presence
TikTok,
accompanied
by
varying
levels
platform's
content.
Key
factors
influencing
include
content
creator
credibility,
user
engagement,
familiarity
creators.
Beyond
academic
implications,
this
offers
practical
insights
into
digital
literacy,
information
consumption
habits,
susceptibility
to
university
students.
The
advocates
for
heightened
literacy
education,
encouraging
critical
evaluation
online
content,
not
only
benefiting
demographic
but
contributing
broader
public
awareness.
The
rapid
dissemination
of
information
has
been
accompanied
by
the
proliferation
fake
news,
posing
significant
challenges
in
discerning
authentic
news
from
fabricated
narratives.
This
study
addresses
urgent
need
for
effective
detection
mechanisms.
spread
on
digital
platforms
necessitated
development
sophisticated
tools
accurate
and
classification.
Deep
learning
models,
particularly
Bi-LSTM
attention-based
architectures,
have
shown
promise
tackling
this
issue.
research
utilized
integrating
an
attention
mechanism
to
assess
significance
different
parts
input
data.
models
were
trained
80%
subset
data
tested
remaining
20%,
employing
comprehensive
evaluation
metrics
including
Recall,
Precision,
F1-Score,
Accuracy,
Loss.
Comparative
analysis
with
existing
revealed
superior
efficacy
proposed
architectures.
model
demonstrated
remarkable
proficiency,
outperforming
other
terms
accuracy
(97.66%)
key
metrics.
highlighted
potential
advanced
deep
techniques
detection.
set
new
standards
field,
offering
combating
misinformation.
Limitations
such
as
dependency,
overfitting,
language
context
specificity
acknowledged.
underscores
importance
leveraging
cutting-edge
methodologies,
mechanisms,
identification.
innovative
presented
pave
way
more
robust
solutions
counter
misinformation,
thereby
preserving
veracity
information.
Future
should
focus
enhancing
diversity,
efficiency,
applicability
across
various
languages
contexts.
Misinformation
can
be
broadly
defined
as
information
that
is
inaccurate
or
false
according
to
the
best
available
evidence,
whose
validity
cannot
verified.
It
created
and
spread
with
without
clear
intent
cause
harm.
There
well-documented
evidence
misinformation
persists
despite
fact-checking
presentation
of
corrective
information,
often
traveling
faster
deeper
than
facts
in
online
environment.
Drawing
on
frameworks
social
judgment
theory,
cognitive
dissonance
motivated
processing,
authors
conceptualize
a
generic
type
counter-attitudinal
message
attitude-congruent
messages.
They
then
examine
persistence
through
lens
biased
responses
attitude-inconsistent
versus
-consistent
information.
Psychological
inoculation
proposed
strategy
mitigate
misinformation.
BMJ,
Год журнала:
2024,
Номер
unknown, С. e079940 - e079940
Опубликована: Июнь 20, 2024
Global
health
leaders
often
dismiss
politics
as
antithetical
to
the
aims
of
public
health,
but
Luisa
Enria
and
colleagues
argue
that
political
analysis
can
offer
new
ways
build
trust
in
vaccination
context
growing
online
misinformation
Recent
academic
debate
has
seen
the
emergence
of
claim
that
misinformation
is
not
a
significant
problem.
We
believe
arguments
used
to
support
this
minimizing
position
are
flawed,
particularly
if
interpreted
(e.g.,
by
policymakers
or
public)
as
suggesting
can
be
safely
ignored.
Here,
we
rebut
two
main
claims,
namely
substantive
concern
(1)
due
its
low
incidence
and
(2)
because
it
no
causal
influence
on
notable
political
behavioral
outcomes.
Through
critical
review
current
literature,
demonstrate
prevalence
non-negligible
reasonably
inclusive
definitions
applied
impacts
important
beliefs
behaviors.
Both
scholars
should
therefore
continue
take
seriously.
What
happens
if
the
data
fed
to
AI
are
biased?
response
of
a
chatbot
spreads
misinformation?
Unlike
many
people
hope,
is
as
biased
humans
are.
Bias
can
originate
from
various
venues,
including
but
not
limited
design
and
unintended
or
unanticipated
use
algorithm
algorithmic
decisions
about
way
coded,
framed,
filtered,
analyzed
train
machine
learning.
Algorithmic
bias
has
been
widely
seen
in
advertising,
content
recommendations,
search
engine
results.
prejudice
found
cases
ranging
political
campaign
outcomes
proliferation
fake
news
misinformation.
It
also
surfaced
health
care,
education,
public
service,
aggravating
existing
societal,
socioeconomic,
biases.
These
algorithm-induced
biases
exert
negative
impacts
on
range
social
interactions,
privacy
infringements
solidifying
societal
gender,
race,
ethnicity,
culture.
The
significance
used
training
algorithms
should
be
underestimated.
Humans
play
part
datafication
algorithms,
preventing
spread
misinformation
difficult
by
technology
alone,
especially
considering
rate
at
which
information
online.
Communication & Society,
Год журнала:
2024,
Номер
unknown, С. 237 - 254
Опубликована: Июнь 27, 2024
The
artificial
intelligence
(AI)
tools
in
editorial
departments
have
become
common
practice
within
news
organisations,
which
poses
challenges
for
digital
journalism.
It
treads
new
terrain
both
media
professionals
and
their
audiences,
it
is
safe
to
assume
there
no
going
back
the
way
things
were.
These
advances
field
require
frameworks
codes
of
ethics
that
include
ethical
principles
mitigate
use
AI
fast
incorporation
into
production
processes
marked
by
a
tendency
towards
loss
citizens’
trust
information
offers,
political
polarization,
increasing
impact
misinformation.
This
article
analyses
perception
communication
this
scene
through
analysis
99
14
international
press
associations.
In
addition,
audience
addressed
survey
taken
nearly
2,000
people.
results
indicate
public
journalists
are
worried
about
misinformation
might
cause
potential
erosion
between
journalist
.
Overwhelmingly,
people
advocating
external
regulation
its
preserve
values,
principles,
good
practices
journalistic
work.
Humanities and Social Sciences Communications,
Год журнала:
2024,
Номер
11(1)
Опубликована: Июль 31, 2024
Abstract
Mis-
and
disinformation
pose
substantial
societal
challenges,
have
thus
become
the
focus
of
a
substantive
field
research.
However,
misinformation
research
has
recently
come
under
scrutiny
on
two
fronts.
First,
political
response
emerged,
claiming
that
aims
to
censor
conservative
voices.
Second,
some
scholars
questioned
utility
altogether,
arguing
is
not
sufficiently
identifiable
or
widespread
warrant
much
concern
action.
Here,
we
rebut
these
claims.
We
contend
spread
misinformation—and
in
particular
willful
disinformation—is
demonstrably
harmful
public
health,
evidence-informed
policymaking,
democratic
processes.
also
show
outright
lies
can
often
be
identified
differ
from
good-faith
contestation.
conclude
by
showing
how
at
least
partially
mitigated
using
variety
empirically
validated,
rights-preserving
methods
do
involve
censorship.