Natural Hazards Review,
Год журнала:
2024,
Номер
25(3)
Опубликована: Апрель 16, 2024
This
study
employed
deep
learning
to
analyze
a
substantial
data
set
of
109.13
million
COVID-19-related
microblogs,
leading
the
construction
specialized
risk
perception
indicator
dictionary.
Employing
this
dictionary,
we
were
able
capture
dynamic
fluctuations
in
within
online
communities
across
various
cities
real
time.
approach
highlighted
varying
intensities
public
response
evolving
crisis
during
isolation
and
normalization
stages
pandemic.
We
observed
that
transmission
threat
information
uncertainty
significantly
influenced
at
different
Innovatively,
our
quantifies
psychological
resilience
by
examining
equilibrium
between
objective
risks.
is
conceptualized
as
alignment
with
reality
COVID-19
information.
investigated
two
dimensions:
adaptability,
indicated
extent
deviation
from
equilibrium,
agility,
reflected
rate
which
reestablished.
Our
not
only
unveils
new
insights
into
intricate
relationship
among
perception,
risks,
but
also
offers
empirical
evidence
inform
management
strategies
crisis.
JMIR Infodemiology,
Год журнала:
2021,
Номер
1(1), С. e31983 - e31983
Опубликована: Окт. 14, 2021
Discussions
of
health
issues
on
social
media
are
a
crucial
information
source
reflecting
real-world
responses
regarding
events
and
opinions.
They
often
important
in
public
care,
since
these
influencing
pathways
that
affect
vaccination
decision-making
by
hesitant
individuals.
Artificial
intelligence
methodologies
based
internet
search
engine
queries
have
been
suggested
to
detect
disease
outbreaks
population
behavior.
Among
media,
Twitter
is
common
platform
choice
share
opinions
(mis)information
about
care
issues,
including
vaccines.Our
primary
objective
was
support
the
design
implementation
future
eHealth
strategies
interventions
increase
quality
targeted
communication
campaigns
therefore
influenza
rates.
Our
goal
define
an
artificial
intelligence-based
approach
elucidate
how
threads
changed
during
COVID-19
pandemic.
Such
findings
may
adapted
could
be
generalized
other
health-related
mass
communications.The
study
comprised
following
5
stages:
(1)
collecting
tweets
from
related
influenza,
vaccines,
United
States;
(2)
data
cleansing
storage
using
machine
learning
techniques;
(3)
identifying
terms,
hashtags,
topics
vaccination;
(4)
building
dynamic
folksonomy
previously
defined
vocabulary
(terms
topics)
understanding
its
trends;
(5)
labeling
evaluating
folksonomy.We
collected
analyzed
2,782,720
420,617
unique
users
between
December
30,
2019,
April
2021.
These
were
English,
States,
included
at
least
one
terms:
"flu,"
"influenza,"
"vaccination,"
"vaccine,"
"vaxx."
We
noticed
prevalence
terms
vaccine
increased
over
2020,
"flu"
"covid"
occurrences
inversely
correlated
as
disappeared
time
tweets.
By
combining
word
embedding
clustering,
we
then
identified
built
around
3
dominating
content
tweets:
"health
medicine
(biological
clinical
aspects),"
"protection
responsibility,"
"politics."
analyzing
frequently
appearing
together,
mainly
pandemic
events.This
focused
initially
against
moved
COVID-19.
Infoveillance
supported
vaccines
communicable
diseases
their
trends
can
lead
personalized
messages
encouraging
subpopulations'
engagement
vaccination.
A
greater
likelihood
receives
message
associated
with
higher
response,
engagement,
proactiveness
target
for
process.
Current Directions in Psychological Science,
Год журнала:
2022,
Номер
31(5), С. 451 - 456
Опубликована: Сен. 9, 2022
People
feel
a
wide
range
of
emotions.
In
many
psychological
traditions,
emotions
are
defined
as
primarily
emerging
from
within
the
individual,
even
if
influenced
by
external
factors
(e.g.,
approval
other
people).
This
definition
is
consistent
with
an
independent
self-construal.
However,
in
some
contexts,
understood
to
have
more
interdependent
characteristics
that
can
be
shared
people
and
arise
social
contexts
collective,
situations.
We
define
lay
theory
interdependence
emotion
perception
emotional
experience
or
its
causes
consequences
people.
Interdependence
conceptualized
along
spectrum,
rather
than
categorical.
Additionally,
degree
which
understand
likely
varies
cultural
context.
this
article,
we
review
studies
investigated
across
cultures,
focusing
on
function.
suggest
non-WEIRD
cultures
(i.e.,
not
Western,
Educated,
Industrialized,
Rich,
Democratic)
others
interdependent.
Next,
highlight
examples
interdependence,
two
specific
emotions:
happiness
awe,
may
both
elements.
The
mechanisms
functions
discussed
using
example
current
collective
threat,
COVID-19.
Journal of Behavioral Medicine,
Год журнала:
2024,
Номер
47(3), С. 422 - 433
Опубликована: Апрель 8, 2024
Abstract
Many
studies
have
examined
behavioral
and
social
drivers
of
COVID-19
vaccination
initiation,
but
few
these
longitudinally.
We
sought
to
identify
the
initiation
using
Behavioral
Social
Drivers
Vaccination
(BeSD)
Framework.
Participants
were
a
nationally-representative
sample
1,563
US
adults
who
had
not
received
vaccine
by
baseline.
took
surveys
online
at
baseline
(spring
2021)
follow-up
(fall
2021).
The
assessed
variables
from
BeSD
Framework
domains
(i.e.,
thinking
feeling,
processes,
practical
issues),
demographics
follow-up.
Between
follow-up,
65%
respondents
reported
initiating
vaccination.
intent
increased
(
p
<
.01).
Higher
confidence,
more
positive
norms
towards
vaccination,
receiving
recommendations
predicted
subsequent
(all
Among
factors
responsibility
requirements
greatest
associations
with
Baseline
norms,
associated
all
which
could
be
useful
targets
for
interventions.
Furthermore,
interventions
that
highlight
vaccinate
or
promote
also
beneficial.
Natural Hazards Review,
Год журнала:
2024,
Номер
25(3)
Опубликована: Апрель 16, 2024
This
study
employed
deep
learning
to
analyze
a
substantial
data
set
of
109.13
million
COVID-19-related
microblogs,
leading
the
construction
specialized
risk
perception
indicator
dictionary.
Employing
this
dictionary,
we
were
able
capture
dynamic
fluctuations
in
within
online
communities
across
various
cities
real
time.
approach
highlighted
varying
intensities
public
response
evolving
crisis
during
isolation
and
normalization
stages
pandemic.
We
observed
that
transmission
threat
information
uncertainty
significantly
influenced
at
different
Innovatively,
our
quantifies
psychological
resilience
by
examining
equilibrium
between
objective
risks.
is
conceptualized
as
alignment
with
reality
COVID-19
information.
investigated
two
dimensions:
adaptability,
indicated
extent
deviation
from
equilibrium,
agility,
reflected
rate
which
reestablished.
Our
not
only
unveils
new
insights
into
intricate
relationship
among
perception,
risks,
but
also
offers
empirical
evidence
inform
management
strategies
crisis.
