Politics in Central Europe,
Год журнала:
2024,
Номер
20(4), С. 547 - 569
Опубликована: Дек. 1, 2024
Abstract
Social
media
play
an
important
role
in
the
dissemination
of
political
information
and
dialogue
among
agents,
agencies
citizens.
We
study
effects
social
on
democratic
attitudes.
Our
analysis
proceeds
two
phases.
First,
we
examine
effect
using
eight
platforms
support
for
democracy
liberal
principles.
Second,
test
relationships
between
intensity
six
types
online
engagement
Facebook
Instagram
employ
linear
ordinal
logistic
regression
a
representative
sample
1,502
Slovak
citizens
aged
18
older.
report
three
key
findings:
users
are
not
less
supportive
or
passive
undermines
Third,
active
both
is
related
to
higher
as
regime
but
its
In
addition
results
specific
participatory
activities,
our
contributes
by
highlighting
need
differentiate
various
attitudes,
different
participation
media.
PLoS ONE,
Год журнала:
2025,
Номер
20(2), С. e0316271 - e0316271
Опубликована: Фев. 5, 2025
In
2024,
a
significant
portion
of
the
global
population
will
participate
in
elections,
creating
an
opportunity
to
analyze
how
information
spreads
and
users
behave
on
social
media.
This
study
examines
media
landscape
Facebook
by
analyzing
posts
from
political
parties
major
news
outlets
Europe,
Mexico,
India.
By
identifying
key
topics
measuring
public
engagement,
we
uncover
patterns
discourse.
Using
Principal
Component
Analysis,
explore
these
are
related
distinguish
trends
audience
interaction.
Our
findings
show
certain
resonate
differently
across
groups,
providing
insights
into
relationship
between
content,
ideology,
user
engagement
during
elections.
Chinese Journal of Sociology,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 21, 2025
Computational
communication
research
(CCR)
has
emerged
as
an
early
and
active
subfield
within
computational
social
science,
offering
novel
methodological
approaches
to
address
classical
emerging
questions
in
research.
This
paper
reviews
the
evolution
developments
CCR
both
international
community
Chinese
mainland,
emphasizing
role
of
methods
such
user
analytics,
content
mining,
experiments.
We
map
alignment
between
traditional
quantitative
ones,
demonstrating
how
have
complemented
enhanced
existing
paradigms.
Through
empirical
applications,
we
illustrate
utility
understanding
behavior,
dynamics,
effects.
conclude
with
a
discussion
on
challenges
using
context
future
directions
for
CCR.
Frontiers in Political Science,
Год журнала:
2025,
Номер
7
Опубликована: Май 26, 2025
The
2020
presidential
election
saw
officials
experience
physical
and
social
media
threats,
harassment,
animosity.
Although
little
research
exists
regarding
animosity
toward
US
officials,
observers
noted
a
sharp
increase
in
officials.
harassment
of
hindered
their
work
administering
free
fair
may
have
generated
doubts
about
electoral
integrity.
Our
study:
(1)
Proposes
unique
measurement
modeling
strategy
applicable
across
many
networks
to
study
toxicity
directed
at
institutions,
or
groups;
(2)
Collects
novel
dataset
conversations
administration
the
election;
(3)
Uses
joint
sentiment-topic
identify
from
reactions
public
uses
dynamic
vector
autoregression
models
determine
temporal
structure
toxic
officials;
(4)
Finds
that
level
spikes
immediately
after
election,
hostile
topics
overall
make
up
quarter
discussion
share
during
this
period,
increasing
60%
following
come
left-
right-wing
partisans.
article
concludes
by
discussing
how
similar
data
collection
topic
approaches
could
be
deployed
future
elections
monitor
trolling
mitigate
threats
successful
globally.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Янв. 3, 2025
As
virality
has
become
increasingly
central
in
shaping
information
sources'
strategies,
it
raises
concerns
about
its
consequences
for
society,
particularly
when
referring
to
the
impact
of
viral
news
on
public
discourse.
Nonetheless,
there
been
little
consideration
whether
these
events
genuinely
boost
attention
received
by
source.
To
address
this
gap,
we
analyze
content
timelines
from
over
1000
European
outlets
2018
2023
Facebook
and
YouTube,
employing
a
Bayesian
structural
time
series
model
evaluate
posts.
Our
results
show
that
most
do
not
significantly
increase
engagement
rarely
lead
sustained
growth.
We
identify
two
primary
types
effects
corresponding
different
mechanisms
collective
response.
A
'loaded-type'
manifests
after
growth
phase,
representing
final
burst,
followed
decline
attention.
'sudden-type'
virality,
with
emerging
unexpectedly,
reactivates
response
process.
Moreover,
quick
fade
faster,
while
slower
processes
more
persistent
These
findings
highlight
transient
nature
underscore
importance
consistent,
steady
attention-building
strategies
establish
solid
connection
user
base
rather
than
relying
sudden
visibility
spikes.
SSRN Electronic Journal,
Год журнала:
2022,
Номер
unknown
Опубликована: Янв. 1, 2022
How
do
independent
media
affect
regime
support
in
an
autocracy?
We
carry
out
two
field
experiments
Russia
by
promoting
the
country's
only
online
TV
channel
to
a
randomized
sample
of
cities
and
individuals
before
2016
parliamentary
elections.
In
both
experiments,
we
find
that
foster
polarization,
increasing
turnout
progovernment
votes
among
supporters,
reducing
it
for
nonsupporters.
The
effect,
however,
holds
voters
who
rely
on
news
from
social
media;
consumers
traditional
media,
our
treatment
uniformly
decreases
support.
Our
results
highlight
how
can
mediate
effect
autocracies.
