An
informed
and
active
citizenry
underpins
democratic
life
society,
freedom
of
opinion
expression
embedded
in
the
consumption
creation
media
are
essential
fundamental
human
rights.
However,
knowledge,
skills,
attitudes
needed
to
navigate
within
systems
power
structures-the
work
critical
literacy-are
not
innate.
Young
people
must
be
deliberately
taught
become
critically
literate
order
partake
productive
civic
engagement.
This
qualitative
action
research
study
sought
inform
justification
for
thoughtfully
planned
integration
literacy
education
into
middle
high
school
subject
area
curricula.
Participants
Cycle
1
consisted
secondary
level
teachers
students
who
shared
their
experiences
with
competencies
through
surveys,
focus
groups,
interviews.
Data
collection
analysis
led
2
steps,
during
which
three
representing
different
areas
co-created
field
tested
a
simple,
clear,
operational
tool
incorporate
courses.
collaborators
provided
feedback
that
assisted
evaluation
process,
included
thorough
assessment
tool's
practicality
functionality.
The
concluded
could
integrated
courses
system
comprising
simplifying,
clarifying,
operationalizing
literacy,
such
as
Media
Quick
Takes,
conjunction
one-on-one
coaching
specialist.
Implications
organization
professional
learning
opportunities
educators
by
specialist.--Author's
abstract
Sustainable Cities and Society,
Journal Year:
2023,
Volume and Issue:
100, P. 105015 - 105015
Published: Oct. 28, 2023
As
the
urban
population
continues
to
expand
and
is
expected
comprise
80%
of
total
in
2050,
it
crucial
ensure
sustainability
energy
efficiency
cities.
Among
all
homes
globally,
Hard-to-Decarbonize
(HtD)
buildings
are
estimated
be
a
quarter
them.
Identifying
HtD
houses
proposing
strategies
for
these
important
reach
global
net
zero
target.
However,
study
has
historically
been
neglected.
Previous
studies
mainly
focus
on
simulating,
predicting
understanding
attributes
that
directly
related
usage
efficiency.
In
this
research,
methodology
identifying
with
publicly
available
data
proposed
tested
Cambridge,
UK.
A
dataset
Cambridge
organized,
criteria
derived
from
Energy
Performance
Certificate
(EPC),
which
results
detailed
inspections
houses.
Street
view
images
(SVI),
aeriel
(AVI),
land
surface
temperature
(LST),
building
stock
used
together
prediction
deep
learning.
The
classification
precision
able
achieve
82%.
This
also
explores
minimal
needed
high-accuracy
Results
show
SVI
contributes
most
prediction.
npj Climate Action,
Journal Year:
2023,
Volume and Issue:
2(1)
Published: Dec. 18, 2023
Abstract
Identifying
drivers
of
climate
misinformation
on
social
media
is
crucial
to
action.
Misinformation
comes
in
various
forms;
however,
subtler
strategies,
such
as
emphasizing
favorable
interpretations
events
or
data
reframing
conversations
fit
preferred
narratives,
have
received
little
attention.
This
data-driven
paper
examines
online
and
sustainability
communication
behavior
over
7
years
(2014–2021)
across
three
influential
stakeholder
groups
consisting
eight
fossil
fuel
firms
(industry),
14
non-governmental
organizations
(NGOs),
inter-governmental
(IGOs).
We
examine
historical
Twitter
interaction
(
n
=
668,826)
using
machine
learning-driven
joint-sentiment
topic
modeling
vector
autoregression
measure
interactions
influences
amongst
these
groups.
report
key
findings.
First,
we
find
that
the
stakeholders
our
sample
are
responsive
one
another
online,
especially
topics
their
respective
areas
domain
expertise.
Second,
industry
more
likely
respond
IGOs’
NGOs’
messaging
changes,
regarding
environmental
justice
action
topics.
The
discuss
public
relations,
advertising,
corporate
Third,
change-driven
extreme
weather
stock
market
performance
do
not
significantly
affect
patterns
among
organizations.
In
conclusion,
provide
a
foundation
for
understanding
influence
powerful
shaping
information
ecosystem
around
change.
Social Network Analysis and Mining,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Feb. 1, 2024
Abstract
Uncovering
the
public
discourse
on
hydrogen
energy
is
essential
for
understanding
behaviour
and
evolving
nature
of
conversations
over
time
across
different
regions.
This
paper
presents
a
comprehensive
analysis
large
multilingual
dataset
pertaining
to
collected
from
Twitter
spanning
decade
(2013–2022)
using
selected
keywords.
The
aims
explore
various
aspects,
including
temporal
spatial
dimensions
discourse,
factors
influencing
engagement,
user
engagement
patterns,
interpretation
through
hashtags
ngrams.
By
delving
into
these
this
study
offers
valuable
insights
dynamics
surrounding
perceptions
social
media
users.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 29, 2024
Abstract
The
existing
research
on
the
associations
between
climate
change-related
events
and
mental
well-being
outcomes
warrants
several
gaps.
These
studies
either
used
a
mono
approach
such
as
cross-sectional
surveys
or
focused
clinical
health
outcomes.
Moreover,
underlying
mechanism
channelling
changing
real-time
emotional
well
their
pro-environmental
action
were
seldom
studied.
This
study
aimed
to
address
these
gaps
by
integrating
multiple
data
sources,
including
social
media
posts
about
change
Weibo
(n
=
76,514),
regional
meteorological
(n(records)
216,476),
vulnerability
in
China.
proposed
tested
novel
linking
factors
through
three
cognitive
responses
(thinking
styles,
affiliations,
somatosensory
experiences),
explored
relationships
with
individuals’
tendencies.
Additionally,
this
examined
moderating
role
of
seasonal
effects
impact
public
well-being.
results
revealed
that
extreme
hot
days
hotter
temperatures
associated
more
negative
lower
tendencies
mediated
analytical-intuitive
thinking
style,
experiences
moderated
seasons
population
density.
implications
findings
for
communication
intervention
discussed,
emphasizing
enhance
coping
abilities
promote
behaviours.
This
research
explores
the
use
of
Remotely
Piloted
Aircraft
Systems
(RPASs)
in
assessing
Masonry
Quality
Index
(MQI)
on
historic
masonry
structures
and
employing
machine
learning
to
evaluate
MQI's
components.
The
MQI
is
a
standard
for
gauging
strength
without
destructive
methods,
using
factors
such
as
stone
type,
size,
condition.
Traditionally
assessed
through
visual
inspection
manual
measurements,
this
attempts
automate
process
Python
Keras
image
recognition
identify
construction
characteristics
damage.
RPASs
facilitate
by
capturing
images
analysis,
potentially
streamlining
assessment
reducing
field
time
surveyors
accessing
hard-to-reach
areas.
Although
study
reveals
limitations
modelling
every
parameter
alone,
it
identifies
which
parameters
can
be
accurately
modelled
suggests
alternative
approaches
evaluating
others,
highlighting
potential
constraints
applying
technology
architectural
conservation.
Sustainable Development,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 30, 2024
ABSTRACT
Despite
extensive
research
on
energy
justice,
little
has
been
written
about
whether
scholarly
discourse
justice
translated
into
public
social
media
discourse.
This
paper
addresses
this
gap
by
examining
Sustainable
Development
Goal
7
(SDG7)
communications
media.
To
date,
study
is
the
first
utilizing
network
analysis
(SNA)
and
computational
methods
to
examine
messaging
related
SDG7
Twitter
(currently
known
as
X)
identify
central
topics
associated
with
communications.
The
data
used
include
6059
tweets
containing
“#sdg7,”
resulting
in
a
hashtag
co‐occurrence
2769
nodes
22,667
edges.
It
shows
that
while
SDG
goals,
like
3
good
health
well‐being,
themes,
such
solar
African
issues,
are
often
discussed
alongside
SDG7,
justice‐related
issues
racial
important
transition
perspectives,
or
just
transitions,
less
frequently
linked
it
sphere.
findings
suggest
need
better
integrate
conversations
shape
more
inclusive
impactful
policies.