AI-Driven Personalisation: Transforming User Experience Across Mobile Applications
Maxwell Nwanna,
Ernest Offiong,
Toluwaleke Ogidan
и другие.
Journal of Artificial Intelligence Machine Learning and Data Science,
Год журнала:
2025,
Номер
3(1), С. 1930 - 1937
Опубликована: Янв. 10, 2025
Advancements
in
artificial
intelligence
(AI)
and
machine
learning
(ML)
over
the
past
decade
have
ushered
a
transformative
era
numerous
industries,
with
journalism
emerging
as
particularly
fertile
ground
for
innovation.This
study
examines
implications
of
AI
powered
intelligent
systems
on
newsroom
operations,
encompassing
data
collection,
fact-checking,
reporting,
editing,
content
dissemination.AI-powered
tools,
utilising
natural
language
processing
techniques,
algorithms,
robust
cloud-based
systems,
capacity
to
enhance
work
human
journalists
transform
conventional
news
production
processes.Prominent
uses
field
encompass
improved
research
automatic
speech-to-text
conversion
translation,
instantaneous
notifications,
swift
authentication
information
sources.These
technologies
enable
produce
richer
more
accurate
narratives,
while
addressing
growing
demand
personalised
user
experiences
both
traditional
platforms.For
instance,
can
streamline
aggregation
synthesis,
freeing
focus
investigative
depth
critical
analysis.Furthermore,
advances
automated
storytelling
summarisation
allow
efficient
dissemination
across
diverse
audiences.Despite
its
promise,
integration
into
newsrooms
remains
challenging.Algorithmic
bias,
risk
perpetuating
misinformation,
potential
erosion
editorial
oversight
necessitate
frameworks
accountability
transparency.News
organisations
must
implement
mechanisms
bias
detection
mitigation
maintaining
ensure
that
AI-generated
outputs
adhere
ethical
professional
standards.Explainable
(XAI)
is
crucial
fostering
trust
these
within
journalistic
teams
public.The
future
lies
development
multimodal
are
capable
contextualising
through
text,
images,
audio,
video.Such
advancements
will
comprehensive
present
nuanced
perspectives
complex
issues.Additionally,
adoption
AI-driven
analytics
help
better
understand
audience
preferences,
enabling
targeted
delivery
engagement.AI
tool
modern
journalism,
streamlining
operations
increasing
access
information.Thoughtful
workflows
allows
media
foster
inclusive
impactful
environment.Combining
technological
innovation
strong
ensures
navigate
evolving
digital
landscape,
upholding
core
values
truth,
integrity,
enquiry
production.
Язык: Английский
Attitudes of Turkish academics towards the effects of digital journalism on shaping the political image
Omar Suleiman Saleh Malkawi
Frontiers in Communication,
Год журнала:
2025,
Номер
9
Опубликована: Янв. 22, 2025
This
study
aimed
to
know
the
nature
of
effects
digital
journalism
in
shaping
political
mental
image
Turkish
university
professors.
It
also
motives
and
reasons
for
their
follow-up
while
following
events
around
world.
To
achieve
objective
study,
researcher
relied
on
descriptive
studies,
within
its
framework,
he
used
survey
method,
by
applying
method
a
public
opinion
poll
with
sample,
distributed
electronic
questionnaire
which
numbered
(103)
academic
professors
working
universities
according
appropriate
sample
method.
The
reached
set
results,
most
important
was
that
Most
use
follow
current
(42.7%).
reason
through
is
it
displays
quickly
(29.0%).
Concerning
prominent
arts
contribute
formation
image,
pointed
out
technology
“news”
(AVT
=
4.01)
followed
video
where
“video”
3.91)
forming
image.
As
element
contributes
answer
“the
events”
(Ort.
3.99)
“parliament”
(Org
3.40)
lesser
victory.
On
side,
“cognitive
effects”
came
first
an
average
(mean
2.42),
item
highest
cognitive
“gave
me
detailed
information
about
candidates”
2.65).
least
at
all
“give
different
MPs”
1.96).
emotional
impact,
academics
involved
“saturate
my
curiosity
issues
2.11).
statement
behavioral
influences
“It
enabled
speeches
reactions
heads
state
activities
areas”
2.40).
Finally,
low
positive
correlation
(0.307**)
found
between
general
electoral
candidate
(
p
<
0.05),
addition
elements
value
0.05)
found.
Язык: Английский
Implementación de redes neuronales para la clasificación de fuentes informativas en periodismo digital sobre inteligencia artificial
European Public & Social Innovation Review,
Год журнала:
2025,
Номер
10, С. 1 - 16
Опубликована: Фев. 5, 2025
Introducción:
En
la
era
digital,
clasificar
fuentes
informativas
es
esencial
para
mantener
calidad
del
periodismo,
especialmente
con
inteligencia
artificial
(IA).
Este
estudio
emplea
redes
neuronales
esta
tarea,
evaluando
su
efectividad
y
proporcionando
interpretaciones
claras
de
los
resultados.
Metodología:
Se
utilizó
un
conjunto
datos
14
características
contenido
periodístico,
como
género,
sección
publicación,
tipo
fuente
presencia
multimedia.
La
variable
objetivo
clasificaba
principal
texto
en
categorías
experto,
político,
cultural,
religioso,
periodístico
otros.
El
modelo
red
neuronal
tenía
dos
capas
densas
ocultas
64
neuronas
cada
una,
activación
ReLU.
Fue
entrenado
evaluado
divididos
conjuntos
entrenamiento
prueba.
estandarización
mejoró
el
rendimiento
modelo,
alcanzando
46%
precisión
Resultados:
aplicaron
técnicas
SHAP
LIME
interpretar
las
predicciones
modelo.
identificó
más
influyentes.
ofreció
una
comprensión
detallada
cómo
específicas
afectan
predicciones.
Conclusiones:
propone
enfoque
innovador
periodismo
digital
destaca
importancia
interpretabilidad
modelos
IA.
Ethics and journalistic challenges in the age of artificial intelligence: talking with professionals and experts
Frontiers in Communication,
Год журнала:
2024,
Номер
9
Опубликована: Ноя. 20, 2024
The
rapid
advancement
of
artificial
intelligence
(AI)
is
transforming
the
media
industry
by
automating
processes,
with
applications
in
data
analysis,
automated
writing,
format
transformation,
content
personalization,
and
fact-checking.
While
AI
integration
offers
new
opportunities
journalism,
it
also
raises
ethical
concerns
around
privacy,
algorithmic
biases,
transparency,
potential
job
displacement.
This
study
employed
qualitative
interviews
professionals
researchers
to
explore
their
perspectives
on
implications
newsrooms.
Interview
were
analyzed
identify
common
themes
specific
challenges
related
use
journalism.
findings
discuss
issues
such
as
tensions
between
technology
AI,
evolution
professional
roles
guidelines,
future
regulations.
Язык: Английский
Political Communication and Artificial Intelligence: Anticipated Problems and Unexpected Solution
Deleted Journal,
Год журнала:
2024,
Номер
unknown, С. 360 - 369
Опубликована: Янв. 1, 2024
The
paper
summarizes
and
comments
on
the
basic
topics
related
to
using
artificial
intelligence
in
political
communication
journalism.
Initially
it
presents
areas
of
risk
conflict,
as
they
were
identified
by
journalists
newsrooms
professional
public
authors
looking
into
ethics
journalism
and,
particular,
communications.
It
then
goes
give
an
overview
first
normative
regulatory
initiatives,
that
being
at
both
international
level
within
news
organizations
states.
provides
a
case
study
those
Czech
media
houses
(both
private)
have
already
reflected
risks
AI
their
ethical
codes,
issues
problems
focussed
how
detailed
this
reflection
was
(as
September
2024).
second
part
looks
(potentially)
positive
where
can
improve
quality
journalistic
practice
outputs
or
even
sphere
overall.
concludes
opening
question
analyse
objectivity
balance
coverage
journalism,
required
Republic’s
legislation
concerning
radio
television
broadcasting.
Язык: Английский