Open Health,
Journal Year:
2023,
Volume and Issue:
4(1)
Published: Jan. 1, 2023
Abstract
With
the
research
sex
gap
impacting
available
data
on
women’s
health
and
growing
popularity
of
social
media,
it
is
not
rare
that
individuals
will
seek
health-related
information
such
platforms.
Understanding
how
women
use
media
for
perinatal-specific
issues
crucial
to
gain
knowledge
specific
needs
gaps.
The
Tumblr
platform
an
excellent
candidate
further
understand
representation
discourse
regarding
perinatal
media.
objective
was
identify
themes
assess
present
pertaining
health.
Posts
were
collected
using
Tumblr’s
official
API
client
over
a
4-day
period,
from
August
18
21,
2023,
inclusively.
A
sentiment
analysis
performed
Valence
Aware
Dictionary
sEntiment
Reasoner
toolkit
deductive
thematic
analysis.
In
total,
235
posts
analyzed,
11
individual
categories
identified
divided
into
two
main
concepts;
Women’s
Health
(Endometriosis;
Postpartum
Depression,
Menopause,
Miscarriage,
Other
Problems,
Political
Discourse)
Pregnancy/Childbirth
(Maternal
Mortality,
Personal
Stories,
Pregnancy
Symptoms,
Fitness/diet/weight).
last
category
classified
as
Misinformation/Advertisement.
Findings
revealed
users
used
share
personal
experiences
pregnancy,
support
others,
raise
awareness,
educate
topics.
Misinformation
represented
only
3%
total
sample.
study
demonstrates
feasibility
in-depth
inform
us
current
topics
More
studies
are
needed
better
impact
misinformation
Proceedings of the ACM on Human-Computer Interaction,
Journal Year:
2025,
Volume and Issue:
9(1), P. 1 - 30
Published: Jan. 10, 2025
Perinatal
mental
illness
is
a
prevalent
global
concern
impacting
pregnant
women
and
new
mothers.
Women
frequently
utilize
technology
for
perinatal
health
(PMH)
assistance,
including
smartphone
applications,
web-based
platforms,
social
media,
online
support
groups.
This
study
aims
to
understand
mothers'
perceived
acceptability
effectiveness
of
technologies
the
challenges
they
face
while
adopting
those
navigate
their
PMH
journey.
We
conducted
in-depth
semi-structured
interviews
with
mothers
(n=15)
who
were
either
or
in
postpartum.
Additionally,
we
gathered
data
(1600
posts
corresponding
10,000
comments)
from
communities
explore
discussions
concerning
utilization
during
period.
Our
findings
elucidate
diverse
experiences
around
professional
help,
support,
anonymity,
misinformation
when
using
how
these
shape
envision
future
aspects.
Based
on
findings,
recommend
developing
evidence-based
that
continuously
throughout
pregnancy
postpartum
advocating
existing
prioritize
transparency,
empowering
make
informed
decisions
enhance
digital
literacy
regarding
resources.
Studies in Media and Communication,
Journal Year:
2024,
Volume and Issue:
12(2), P. 65 - 65
Published: Jan. 29, 2024
Cesarean
delivery
rates
are
rising
globally,
presenting
a
growing
concern,
particularly
in
countries
like
Indonesia.
Amidst
this
trend,
the
Cerita
VBAC
(Vaginal
Birth
After
Caesar)
on
Telegram
emerges
as
crucial
platform
for
pregnant
women
seeking
insights
and
preparations
expected
deliveries
following
sections.
This
study,
grounded
constructivism
paradigm,
delves
into
experiences
of
active
speakers
within
Community,
aiming
to
understand
dynamics
impact
virtual
support
network.
Employing
narrative
ethnography
methods,
research
focuses
four
prominent
contributors
Community.
The
constructivist
paradigm
guides
exploration
their
experiences,
emphasizing
role
unravelling
intricacies
unique
social
context.
Data
analysis
involves
manual
modification
process
complemented
by
NVIVO
12
Plus,
comprehensive
data
processing
application.
findings
highlight
that
learning
mechanism
through
aligns
with
Kolb's
Experiential
Learning
model.
Community
members
actively
share
concrete
engage
reflective
processes,
formulate
abstract
concepts,
participate
experiential
learning.
serves
an
information
exchange
medium
creates
positive
supportive
environment,
empowering
navigate
labor
challenges.
Telehealth
has
significantly
enhanced
various
medical
sectors,
notably
in
postpartum
care,
by
increasing
breastfeeding
rates
and
reducing
depression.
However,
issues
patient
management
triage,
particularly
high-demand
telehealth
lactation
consultations,
lead
to
LC
burnout,
unnecessary
costs
diagnostic
delays.
To
address
these
challenges,
this
study
introduces
a
pain
assessment
tool
for
enhancing
patient-provider
communication
through
momentary
AI
mediation.
It
features
user
interface
with
image
quality
condition
classification
algorithms,
aiding
remote
diagnosis
triage.
The
guides
patients
uses
severity-based
feedback
system,
helping
LCs
prioritize
cases.
This
method
boosts
tele-lactation
service
efficiency,
streamlines
workload,
serves
as
model
specialized
healthcare
triaging.
Future
work
includes
refining
the
system
evaluating
clinical
settings
standardize
symptom
severity
grading
estimate
its
impact,
potentially
improving
expert
triaging
settings.
Societies,
Journal Year:
2024,
Volume and Issue:
14(5), P. 67 - 67
Published: May 13, 2024
Online
mothering
is
an
arising
and
multifaceted
phenomenon
as
the
online
world
offers
unique
opportunities
risks
in
a
particularly
challenging
period.
The
overall
aim
of
this
work
to
investigate
features
hashtag
movement
#itcouldbeme,
which
was
born
after
terrible
news
event
concerning
newborn’s
death,
specifically
(a)
e-activation
levels;
(b)
emotional
arousal;
(c)
potential
presence
deconstruction
stereotypes
intensive
mothering.
To
positioning,
reactions,
emotions,
database
394
posts
gathered
from
popular
Italian
social
networks
created,
manually
codified,
analyzed
through
chi-square
test.
results
enabled
us
deepen
associations
among
these
variables,
thus
revealing
for
empowerment
offered
by
socio-cultural
different
pathways,
adhesion
movement.
Finally,
implications
professionals
public
health
issues
are
discussed.
Health Marketing Quarterly,
Journal Year:
2024,
Volume and Issue:
41(3), P. 271 - 293
Published: May 22, 2024
The
support
groups
within
social
networking
sites
such
as
Facebook
have
become
a
popular
platform
for
various
kinds
of
conversation
and
including
health,
especially
among
women.
aim
this
study
was
to
explore
analyze
the
types
health-related
messages
posted
in
month
by
Kashmiri
women
group
most
common
health
topics
which
sought.
A
total
302
posts
were
selected
analysis.
results
revealed
that
group,
informational
more
frequently
requested
information
related
pregnancy.
The
study
explored
the
potential
of
large
language
models
(LLMs)
(advanced
AI
trained
to
understand
and
generate
human-like
language)
like
ChatGPT
personalized
narratives
about
perinatal
mental
health
concerns
wellbeing.
With
affecting
many
women
technology
playing
a
role
in
addressing
their
challenges,
investigated
LLMs'
ability
craft
relatable
stories
considering
emotional
nuances,
cultural
sensitivity,
narrative
variation.
Of
45
generated,
85%
(n=38)
adhered
prompts.
Qualitative
analysis
identified
challenges
with
relatability,
such
as
repetitive
content
diminished
empathy
compared
user-generated
stories.
However,
despite
limitations,
AI-generated
showcased
for
raising
awareness
