Anàlisi,
Journal Year:
2024,
Volume and Issue:
70, P. 59 - 77
Published: June 28, 2024
Based
on
the
hypothesis
that
independent
Mexican
digital
media
outlets
are
more
connected
to
their
audiences
than
traditional
newspapers,
primary
objective
of
this
study
is
examine
interactivity
proposed
and
provided
users
by
these
online
outlets.
As
secondary
objectives,
we
seek
identify
trends
in
interface
design
selected
Lastly,
research
aims
compare
levels
interaction
present
sample.
To
accomplish
this,
analyzed
137
newspapers
from
Sembramedia
database
(2023),
applying
an
model
according
Rodríguez
et
al.
(2012)
model,
with
a
previous
adaptation
done
authors
validated
through
Kuder-Richardson
coefficient
(KR20).
The
main
findings
reveal
that,
while
there
high
terms
information
accessibility
presence
Web
2.0
platforms,
remains
limited
when
it
comes
user-generated
content
reproduction,
personalization,
utilization
tools.
Consequently,
concludes
still
hesitate
relinquish
greater
control
users.
However,
business
continues
prioritize
audience
loyalty,
increasingly
relying
subscriptions
and,
lesser
extent,
government
advertising.
Furthermore,
suggest
three
crucial
factors
influencing
evolution
interactivity.
Firstly,
improving
transparency
media-user
communication
facilitating
user
publication.
Secondly,
simplifying
access
using
intuitive
tools
may
enhance
experience,
although
could
lead
potential
reduction
multimedia
content.
restricting
connections
platforms
suggests
centralizing
web
traffic
within
outlet,
departing
external
monopolize
advertising
investment.
The Journal of Economic Perspectives,
Journal Year:
2017,
Volume and Issue:
31(1), P. 117 - 140
Published: Jan. 30, 2017
In
this
paper,
we
document
basic
facts
regarding
public
debates
about
controversial
political
issues
on
Chinese
social
media.
Our
documentation
is
based
a
dataset
of
13.2
billion
blog
posts
published
Sina
Weibo—the
most
prominent
microblogging
platform—during
the
2009–2013
period.
primary
finding
that
shockingly
large
number
highly
sensitive
topics
were
and
circulated
For
instance,
find
millions
discussing
protests,
these
are
informative
in
predicting
occurrence
specific
events.
We
an
even
larger
with
explicit
corruption
allegations,
predict
future
charges
individuals.
findings
challenge
popular
view
authoritarian
regime
would
relentlessly
censor
or
ban
Instead,
interaction
government
media
seems
more
complex.
ACM Computing Surveys,
Journal Year:
2024,
Volume and Issue:
56(11), P. 1 - 36
Published: June 25, 2024
Misinformation
is
one
of
the
key
challenges
facing
society
today.
User-centered
misinformation
interventions
as
digital
countermeasures
that
exert
a
direct
influence
on
users
represent
promising
means
to
deal
with
large
amounts
information
available.
While
an
extensive
body
research
this
topic
exists,
researchers
are
confronted
diverse
landscape
spanning
multiple
disciplines.
This
review
systematizes
user-centered
facilitate
knowledge
transfer,
identify
trends,
and
enable
informed
decision-making.
Over
6,000
scholarly
publications
were
screened,
systematic
literature
(
N=172
)
was
conducted.
A
taxonomy
derived
regarding
intervention
design
(e.g.,
labels,
showing
indicators
misinformation,
corrections,
removal,
or
visibility
reduction
content),
user
interaction
(active
passive),
timing
pre
post
exposure
request
user).
We
provide
structured
overview
approaches
across
disciplines
derive
six
overarching
for
future
transferability
(1)
novel
platforms
(2)
emerging
video-
image-based
sensible
combination
automated
mechanisms
(3)
human
experts
(4)
feedback
comprehensibility,
(5)
encouraging
media
literacy
without
exposure,
(6)
adequately
addressing
particularly
vulnerable
such
older
people
adolescents.
Young Consumers Insight and Ideas for Responsible Marketers,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 17, 2025
Purpose
Artificial
intelligence
(AI)-driven
marketing
has
transformed
the
landscape
of
consumer
interactions,
but
it
also
raises
ethical
concerns
regarding
perceived
manipulation
and
subsequent
unethical
young
behavior.
This
study
aims
to
investigate
direct
indirect
effects
AI-driven
on
behavior,
with
digital
literacy
as
a
moderating
variable.
The
authors
introduce
conceptualize
construct
that
influences
how
consumers
perceive
react
manipulative
tactics.
Design/methodology/approach
Using
Elaboration
Likelihood
Model
(ELM)
Persuasion
Knowledge
(PKM),
this
research
explores
reception
moderates
adopts
three-wave,
time-lagged
survey
method
among
in
urban
Pakistan,
integrating
measures
techniques,
manipulation,
Findings
results
reveal
mediates
relationship
between
Digital
significantly
effect,
indicating
higher
levels
can
mitigate
negative
impacts
manipulation.
Conversely,
lower
amplifies
Practical
implications
findings
underscore
need
for
marketers
foster
transparency
practices
strategies.
Enhancing
serve
protective
factor
against
practices.
Originality/value
contributes
understanding
literacy’s
role
It
extends
existing
models
persuasion
response
by
demonstrating
reshapes
traditional
frameworks
context
environments.
Communications Psychology,
Journal Year:
2025,
Volume and Issue:
3(1)
Published: Jan. 26, 2025
Abstract
The
generation
and
distribution
of
hyper-partisan
content
on
social
media
has
gained
millions
exposure
across
platforms,
often
allowing
malevolent
actors
to
influence
disrupt
democracies.
spread
this
is
facilitated
by
real
users’
engaging
with
it
platforms.
current
study
tests
the
efficacy
an
‘inoculation’
intervention
via
six
online
survey-based
experiments
in
UK
US.
Experiments
1–3
(total
N
=
3276)
found
that
inoculation
significantly
reduced
self-reported
engagement
polarising
stimuli.
However,
4–6
1878)
no
effects
participants’
self-produced
written
text
discussing
topic.
implications
these
findings
are
discussed
context
literature
polarisation
previous
interventions
reduce
disinformation.
TRT Akademi,
Journal Year:
2025,
Volume and Issue:
10(23), P. 208 - 237
Published: Jan. 31, 2025
Bu
çalışma,
yapay
zekâ
teknolojilerinin
dezenformasyon
kampanyalarında
kullanımını
ele
alarak,
dijital
ortamda
ortaya
çıkan
yeni
tehditleri
anlamayı
amaçlamaktadır.
Yapay
zekânın
hızlı
gelişimi
ve
geniş
çapta
veri
işleme
kapasitesi,
dezenformasyonun
yayılma
hızını
etkisini
artırarak
toplumsal
yapıları
demokratik
süreçleri
savunmasız
hale
getirmektedir.
Çalışma,
stratejilerini
bağlamında
inceleyerek,
bilginin
manipülasyonu
sahte
gerçekliklerin
oluşturulmasındaki
rolünü
araştırmaktadır.
Kuramsal
olarak,
ortamına
olan
katkısı
alınmış
literatürdeki
stratejileri
detaylandırılmıştır.
Metodolojik
literatür
taraması
elektronik
materyal
inceleme
yöntemleri
kullanılmıştır.
Özellikle,
OpenAI
raporu
üzerinden
Rusya,
Çin,
İran
İsrail
gibi
ülkelerin
yürüttüğü
destekli
kampanyaları
vaka
çalışması
olarak
incelenmiştir.
Bulgular,
bu
kampanyalarının
küresel
güvenlik
diplomasi
üzerindeki
olumsuz
etkilerine
işaret
etmektedir.
etkilerini
anlamaya
soruna
karşı
çözüm
geliştirme
çabalarına
katkı
sunmayı
hedeflemektedir.
Integrated Computer-Aided Engineering,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 2, 2025
Social
media
platforms,
increasingly
used
as
news
sources
for
varied
data
analytics,
have
transformed
how
information
is
generated
and
disseminated.
However,
the
unverified
nature
of
this
content
raises
concerns
about
trustworthiness
accuracy,
potentially
negatively
impacting
readers’
critical
judgment
due
to
disinformation.
This
work
aims
contribute
automatic
quality
validation
field,
addressing
rapid
growth
online
on
wiki
pages.
Our
scalable
solution
includes
stream-based
processing
with
feature
engineering,
analysis
selection,
classification,
real-time
explanation
prediction
outcomes.
The
explainability
dashboard
designed
general
public,
who
may
need
more
specialized
knowledge
interpret
model’s
prediction.
Experimental
results
two
datasets
attain
approximately
90%
values
across
all
evaluation
metrics,
demonstrating
robust
competitive
performance
compared
works
in
literature.
In
summary,
system
assists
editors
by
reducing
their
effort
time
detecting
