Assessing the usage of ChatGPT on life satisfaction among higher education students: The moderating role of subjective health
Technology in Society,
Год журнала:
2024,
Номер
78, С. 102655 - 102655
Опубликована: Июль 9, 2024
Язык: Английский
Addressing the notion of trust around ChatGPT in the high-stakes use case of insurance
Technology in Society,
Год журнала:
2024,
Номер
78, С. 102644 - 102644
Опубликована: Июнь 21, 2024
The
public
discourse
concerning
the
level
of
(dis)trust
in
ChatGPT
and
other
applications
based
on
large
language
models
(LLMs)
is
loaded
with
generic,
dread
risk
terms,
while
heterogeneity
relevant
theoretical
concepts
empirical
measurements
trust
further
impedes
in-depth
analysis.
Thus,
a
more
nuanced
understanding
factors
driving
judgment
call
essential
to
avoid
unwarranted
trust.
In
this
commentary
paper,
we
propose
that
addressing
notion
consumer-facing
LLM-based
systems
across
insurance
industry
can
confer
enhanced
specificity
debate.
concept
role
are
germane
particular
setting
due
highly
intangible
nature
product
coupled
elevated
levels
risk,
complexity,
information
asymmetry.
Moreover,
widespread
use
LLMs
sector
be
expected,
given
vast
array
text
documents,
particularly
general
policy
conditions
or
claims
protocols.
Insurance
as
practice
welfare
citizens
has
numerous
spillover
effects
wider
areas.
We
therefore
argue
domain-specific
approach
good
AI
governance
negative
externalities
around
financial
inclusion.
Indeed,
constitutive
element
trust,
vulnerability
challenging
within
high-stakes
set
transactions,
adoption
adding
socio-ethical
risks.
light
this,
our
provides
valuable
baseline
support
regulators
policymakers
unravelling
profound
socioeconomic
consequences
may
arise
from
adopting
insurance.
Язык: Английский
Toward an ecosystem of non-fungible tokens from mapping public opinions on social media
Financial Innovation,
Год журнала:
2025,
Номер
11(1)
Опубликована: Янв. 2, 2025
Abstract
As
blockchain
technology
advances,
non-fungible
tokens
(NFTs)
are
emerging
as
unconventional
assets
in
the
commercial
market.
However,
it
is
necessary
to
establish
a
comprehensive
NFT
ecosystem
that
addresses
prevailing
public
concerns.
This
study
aimed
bridge
this
gap
by
analyzing
user-generated
content
on
prominent
social
media
platforms
such
Twitter,
Weibo,
and
Reddit.
Employing
text
clustering
topic
modeling
techniques,
Latent
Dirichlet
Allocation,
we
constructed
an
analytical
framework
delve
into
intricacies
of
ecosystem.
Our
investigation
revealed
seven
distinct
topics
from
Twitter
Reddit
data
eight
Weibo
data.
users
predominantly
engaged
reviews
critiques,
whereas
emphasized
personal
experiences
perceptions.
The
encompasses
several
crucial
elements,
including
transactions,
customers,
infrastructure,
products,
environments,
By
identifying
trends
common
issues,
offers
valuable
guidance
for
development
ecosystems.
Язык: Английский
Metaverse maelstrom: Dissecting information dynamics and polarisation
Journal of Information Science,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 3, 2025
The
Metaverse
represents
a
collaborative
virtual
realm
blending
physical
and
digital
realities,
fostering
limitless
avenues
for
online
interaction,
discovery
innovation.
As
technological
strides
propel
immersive
worlds
to
the
forefront
of
social
media
platforms,
scholarly
interest
in
surges,
prompting
extensive
discourse.
Drawing
from
identity
theory,
this
article
introduces
novel
framework
analysing
polarisation
within
discussions
on
Metaverse,
specifically
X
(Twitter).
Leveraging
multifaceted
approach
that
integrates
clustering,
network
analysis,
text
mining,
our
study
delves
into
both
group
opinion
dynamics
surrounding
Metaverse.
Our
findings
uncover
distinct
community
divisions
structures,
shedding
light
prevalent
themes,
such
as
‘Non-Fungible
Token
(NFTs)’,
‘Virtual
Products
Collections’,
‘Blockchain
Technology’,
‘Gaming’,
‘Financial
Markets’
resonate
public
Язык: Английский
Evaluating the quality of digital education resources based on learners’ online reviews through topic modeling and opinion mining
Education and Information Technologies,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 6, 2025
Язык: Английский
Beyond Buzzwords: The Development of Large Language Models and Their Use in Advertising and Strategic Communication Research
Journal of Current Issues & Research in Advertising,
Год журнала:
2025,
Номер
unknown, С. 1 - 40
Опубликована: Май 19, 2025
Язык: Английский
Scourge of replacing contemporary work environment with artificial intelligence (AI-dark-side): the role of capacity development in quality of work-life and organisational performance
Journal of Systems and Information Technology,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 2, 2024
Purpose
The
emergence
of
artificial
intelligence
(AI)
which
operates
through
technology
and
digital
workspace
has
proven
to
transform
organisations
in
recent
times.
However,
there
been
key
concern
over
its
efficiency
among
the
workforce
on
how
it
may
replace
human
contemporary
work
environment.
This
study
aims
investigate
drawbacks
otherwise
known
as
dark
side
AI
effect
employee
quality
work−life
organisational
performance
lens
capacity
development
reducing
shortcomings.
Design/methodology/approach
used
a
descriptive
research
design
using
cross-sectional
survey
approach
administer
instrument
1,847
customer
service
officers
banks,
agents
telecoms,
care
retail
Nigeria
business
environment
across
various
units
were
respondents
this
study,
however,
862
participants
finally
used.
A
simple
random
strategy
was
participants,
existing
scales
adopted
form
new
instrument.
partial
least
square
(PLS)
based
structural
equation
model
(SEM)
adapted
analyse
collected
data
from
respondents.
Findings
outcome
indicated
that
lacks
creativity
negative
impact
both
overall
performance.
demonstrated
sides
lack
emotional
intelligence,
in-depth
contextual
knowledge,
over-reliance
ethical
moral
decision
analysis
are
possible
adversely
affect
organisations.
concluded
is
difficult
because
AI’s
side.
cannot
function
effectively
beyond
what
programmed
system.
Originality/value
offered
novel
trajectory
against
benefits
people
familiar
with.
It
changed
understanding
researchers,
policymakers
workplace
without
improvement
those
established
sides.
Язык: Английский