Assessment of street space quality and subjective well-being mismatch and its impact, using multi-source big data
Cities,
Год журнала:
2024,
Номер
147, С. 104797 - 104797
Опубликована: Янв. 19, 2024
Язык: Английский
How weather impacts expressed sentiment in Russia: evidence from Odnoklassniki
PeerJ Computer Science,
Год журнала:
2022,
Номер
8, С. e1164 - e1164
Опубликована: Ноя. 18, 2022
Prior
research
suggests
that
weather
conditions
may
substantively
impact
people's
emotional
state
and
mood.
In
Russia,
the
relationship
between
mood
has
been
studied
for
certain
regions-usually
with
severe
or
extreme
climatic
conditions-but
quite
limited
samples
of
up
to
1,000
people.
Over
past
decade,
partly
due
proliferation
online
social
networks
development
natural
language
processing
techniques,
become
possible
study
based
on
sentiment
expressed
by
individuals.
One
key
advantages
such
studies
digital
traces
is
it
analyze
much
larger
people
in
comparison
traditional
survey-based
studies.
this
article,
we
investigate
historical
seven
Russian
cities
data
one
largest
networks,
Odnoklassniki.
We
constructed
a
daily
city-level
positive
metric
2.76
million
posts
published
1.31
unique
users
from
Odnoklassniki
its
dynamics
relative
via
regression
modelling.
It
was
found
maximum
temperature
+20
°C
+25
°C,
light
breeze
(between
5
11
km/h)
an
increase
average
20-25
compared
previous
day
are
all
associated
higher
numbers
expressions
sentiment,
whereas
difference
minimum
temperatures
15-20
lower
sentiment.
Язык: Английский
Macroeconomic Needles and Sustainable Development Goal’s Number Three in Nigeria
Integrated science,
Год журнала:
2024,
Номер
unknown, С. 425 - 445
Опубликована: Янв. 1, 2024
Язык: Английский
The voice of Twitter: observable subjective well-being inferred from tweets in Russian
PeerJ Computer Science,
Год журнала:
2022,
Номер
8, С. e1181 - e1181
Опубликована: Дек. 20, 2022
As
one
of
the
major
platforms
communication,
social
networks
have
become
a
valuable
source
opinions
and
emotions.
Considering
that
sharing
emotions
offline
online
is
quite
similar,
historical
posts
from
seem
to
be
data
for
measuring
observable
subjective
well-being
(OSWB).
In
this
study,
we
calculated
OSWB
indices
Russian-speaking
segment
Twitter
using
Affective
Social
Data
Model
Socio-Technical
Interactions.
This
model
utilises
demographic
information
post-stratification
techniques
make
sample
representative,
by
selected
characteristics,
general
population
country.
For
sentiment
analysis,
fine-tuned
RuRoBERTa-Large
on
RuSentiTweet
achieved
new
state-of-the-art
results
F1
=
0.7229.
Several
indicators
demonstrated
moderate
Spearman's
correlation
with
traditional
survey-based
net
affect
(rs
0.469
rs
0.5332,
p
<
0.05)
positive
0.5177
0.548,
in
Russia.
Язык: Английский
Attitude of Russians to the topic of material well-being: analysis of comments in social media
Опубликована: Ноя. 24, 2023
The
current
study
is
a
content
analysis
of
news
comments
posted
on
the
Russian
social
network
VKontakte
to
investigate
expression
opinions
material
well-being.
Based
NLP
methods,
we
analyze
main
groups
expression,
which
are
considered
in
context
formulating
evaluations
and
appealing
norms.
We
discourse
at
micro-level;
how
attitudes
towards
topic
well-being
expressed
through
evaluative
normative
statements;
identify
key
actors
discussions.
shows
prevalence
generalized
statements,
consider
their
country
people
as
whole,
opposed
outside
world.
most
significant
problems,
such
price
growth,
unemployment,
not
actively
discussed.
One's
own
situation
usually
characterized
by
neutral
or
positive
assessments,
while
judgment
about
life
"Russian
people"
predominantly
assessed
negatively.
It
shown
that
basis
negative
assessment
state
affairs
person
appeals
norm.
A
share
statements
prescriptions,
less
connected
with
references
specific
individuals
organizations.
Thus,
discussions
do
show
any
tendency
for
citizens
impute
country's
leadership
obligation
take
measures
change
best.
Язык: Английский