Sentiment-topic dynamic collaborative analysis-based public opinion mapping in aviation disaster management: A case study of the MU5735 air crash
International Journal of Disaster Risk Reduction,
Год журнала:
2024,
Номер
102, С. 104268 - 104268
Опубликована: Янв. 11, 2024
Язык: Английский
How can the collaborative participation of regulators, whistleblowers, and parties effectively promote rumor management in public health emergencies?
Frontiers in Public Health,
Год журнала:
2024,
Номер
11
Опубликована: Янв. 8, 2024
To
effectively
address
the
mental
health
risks
associated
with
public
emergencies,
it
is
crucial
to
actively
manage
rumors.
This
study
explores
dynamic
evolutionary
process
of
rumor
diffusion
and
its
collaborative
governance
in
emergencies.
A
game-theoretic
model
constructed,
involving
three
main
actors:
regulators,
parties
involved
emergencies
(PIPHE),
whistle-blowers.
The
behaviors
game
outcomes
each
party
are
analyzed,
effectiveness
feasibility
validated
through
numerical
simulations.
findings
this
reveal
that
various
factors,
such
as
regulatory
costs,
penalty
income,
reputation
damage
for
regulators;
image
loss,
enhancement,
expenditure
PIPHE;
time
social
responsibility,
reward
income
whistle-blowers,
all
influence
behavioral
choices
equilibrium
party.
Optimization
strategies
proposed
study,
including
enhancing
sense
responsibility
capability
among
increasing
transparency
credibility
PIPHE,
encouraging
protecting
participation
provides
a
comprehensive
analytical
framework
contributing
improving
maintaining
online
orders
sustainability.
Язык: Английский
Have we found a solution for health misinformation? a ten-year systematic review of health misinformation literature 2013–2022
International Journal of Medical Informatics,
Год журнала:
2024,
Номер
188, С. 105478 - 105478
Опубликована: Май 10, 2024
Health
misinformation
(HM)
has
emerged
as
a
prominent
social
issue
in
recent
years,
driven
by
declining
public
trust,
popularisation
of
digital
media
platforms
and
escalating
health
crisis.
Since
the
Covid-19
pandemic,
HM
raised
critical
concerns
due
to
its
significant
impacts
on
both
individuals
society
whole.
A
comprehensive
understanding
HM-related
studies
would
be
instrumental
identifying
possible
solutions
address
associated
challenges.
Язык: Английский
Online rumors during the COVID-19 pandemic: co-evolution of themes and emotions
Frontiers in Public Health,
Год журнала:
2024,
Номер
12
Опубликована: Июнь 10, 2024
During
public
health
emergencies,
online
rumors
spread
widely
on
social
media,
causing
information
anxiety
and
emotional
fluctuations.
Analyzing
the
co-evolution
patterns
of
rumor
themes
emotions
is
essential
for
implementing
proactive
precise
governance
during
such
events.
Язык: Английский
Controlling COVID-19 Rumors Through Administrative Punishment: Empirical Evidence from Zhejiang, China
Asian Journal of Criminology,
Год журнала:
2024,
Номер
19(4), С. 487 - 506
Опубликована: Авг. 27, 2024
Язык: Английский
Intervention strategies for health rumors: An overview based on the information lifecycle theory
Advances in Psychological Science,
Год журнала:
2024,
Номер
32(4), С. 664 - 664
Опубликована: Янв. 1, 2024
摘要:
如何有效治理健康谣言是社交媒体时代的一大难题。健康谣言传播具有信息和信息加工主体两个层面的驱动因素,
可依据信息生命周期理论将其分为产生期、评价期和传播期三阶段,
系统归纳与分析不同阶段的健康谣言干预策略:
产生期重在预防,
强调对大众进行心理接种、提升自身健康素养;
评价期关注个体的主观能动性,
包括聚焦信息准确性以及促进自身分析式加工;
传播期通过提高辟谣信息可信度、善用反驳文本和调节个体情绪状态,
实现精准辟谣。未来研究可继续创新信息生命周期视角下健康谣言的治理策略,
细化考察不同类型与易感人群下的干预手段;
归纳与验证不同策略在现实世界中的应用效果,
充分发挥行为科学与网络平台对建立健康谣言干预的长效机制的作用。
Язык: Английский
How Does Psychological Distance Influence Public Risky Behavior During Public Health Emergencies
Risk Management and Healthcare Policy,
Год журнала:
2024,
Номер
Volume 17, С. 1437 - 1449
Опубликована: Май 1, 2024
Background:
Public
health
emergencies
not
only
threaten
the
physical
and
mental
of
public
but
also
trigger
a
series
risky
behaviors
public,
which
in
turn
lead
to
emergence
or
intensification
risk
events,
disrupting
existing
economic
social
order.
Purpose:
Based
on
construal
level
theory,
cognitive
appraisal
theory
emotions
mood
maintenance
hypothesis,
study
aims
investigate
collectively
effect
perception
psychological
insecurity
connection
between
distance
behavior.
Participants
Methods:
Cross-sectional
data
was
derived
from
257
China
urban
residents.
All
participants
finished
scale,
behavior
scale.
The
research
hypothesis
tested
using
PROCESS
macro.
Results:
direct
impact
significant
(β=−
0.018,
p>
0.05).
indirect
significant.
In
other
words,
serially
mediated
via
(β=0.011,
95%
CI=
[0.0013,
0.025]).
Conclusion:
Risk
play
serial
mediating
roles
relationship
We
conclude
that
during
emergencies,
managers
should
pay
extra
attention
with
closer
distance,
take
measures
reduce
their
perception,
enhance
security,
behavior,
thereby
ensuring
maintaining
stability
Keywords:
insecurity,
Язык: Английский
Public Health Using Social Network Analysis During the COVID-19 Era: A Systematic Review
Information,
Год журнала:
2024,
Номер
15(11), С. 690 - 690
Опубликована: Ноя. 2, 2024
Social
network
analysis
(SNA),
or
the
application
of
techniques
to
social
media
data,
is
an
increasingly
prominent
approach
used
in
computational
public
health
research.
We
conducted
a
systematic
review
investigate
trends
around
SNA
applied
data
for
and
epidemiology
while
outlining
existing
ethical
practices.
Following
PRISMA
guidelines,
we
reviewed
articles
from
Web
Science
PubMed
published
between
January
2019
February
2024,
leading
total
51
papers
surveyed.
The
majority
analyzed
research
(69%)
involved
studying
Twitter/X,
followed
by
Sina
Weibo
(16%).
most
topics
this
timeframe
were
related
COVID-19,
other
explored
such
as
citizen
science,
emergencies,
behavior
change,
various
medical
conditions.
surveyed
methodological
approaches
characteristics
commonly
employed
studies,
finding
that
studies
only
basic
metrics
algorithms
layout,
community
detection,
standard
centrality
measures.
highlight
concerns
use
privacy
consent,
underscoring
potential
integrating
with
more
inclusive,
human-centered
practices
enhance
effectiveness
buy-in
emerging
efforts.
Язык: Английский
An Online Chinese Rumor Prevention Approach based on Knowledge Graph
Опубликована: Июль 7, 2023
Rumor
prevention
is
a
widespread
problem
in
the
world
today.
Most
approaches
on
rumor
detection
are
passive
after
occurrence,
while
few
active
methods.
The
control
usually
consumes
more
manpower,
time
and
resources,
which
increases
cost
of
social
management.
This
study
employs
big
data
methods
provides
an
method
based
knowledge
graph
called
KGRP
Algorithm.
approach
firstly
collects
large
amount
online
data,
constructs
text
analysis.
Secondly
correlations
among
rumors
set
up
according
to
graph,
warning
index
generated
correlations.
Experimental
simulation
results
illustrate
that
this
has
high
accuracy
for
warning.
can
provide
convenience
control.
Язык: Английский