Dead Internet Theory in Theoretical Framework and Its Possible Effects on Tourism
Gizem Özgürel,
İlknur Özsezgin,
Aydın Ünal
и другие.
Journal of Lifestyle and SDGs Review,
Год журнала:
2025,
Номер
5(1), С. e04327 - e04327
Опубликована: Янв. 2, 2025
Objectives:
The
study
aims
to
explore
the
effects
of
artificial
intelligence
(AI)
technologies
in
tourism
sector
and
assess
potential
reflections
these
on
tourists,
particularly
context
"Dead
Internet
Theory."
It
examines
how
AI,
as
a
technology
capable
learning
problem-solving,
can
enhance
customer
satisfaction,
reduce
costs,
optimize
business
processes
within
industry.
Methods:
utilizes
conceptual
analysis
Theory"
its
implications
for
sector.
investigates
AI
technologies,
which
mimic
human
behavior
thought
processes,
influence
interactions
digital
space,
tourism.
research
also
evaluates
impact
tourists'
purchasing
decisions,
considering
factors
such
fake
comments,
experiences,
algorithmic
guidance.
Results:
findings
indicate
that
suggests
AI-generated
content
increasingly
dominates
internet,
limiting
participation
potentially
manipulating
interactions.
In
tourism,
this
result
tourists
being
influenced
by
reviews,
recommendations,
may
mislead
their
decisions.
Additionally,
perception
popularity
social
media
could
distort
tourist
negatively
affect
sustainable
practices.
Conclusion:
concludes
while
offers
significant
opportunities
improve
satisfaction
it
must
be
used
ethically
with
consideration
legal
issues.
To
prevent
manipulation,
emphasizes
need
balancing
use
ethical
guidelines,
promoting
reliability
online
developing
strategies
ensure
transparency
referrals.
Ethical
principles
safeguards
should
established
mitigate
negative
impacts
support
Язык: Английский
Evidence-Based Analysis of AI Chatbots in Oncology Patient Education: Implications for Trust, Perceived Realness, and Misinformation Management
Journal of Cancer Education,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 18, 2025
Abstract
The
rapid
integration
of
AI-driven
chatbots
into
oncology
education
represents
both
a
transformative
opportunity
and
critical
challenge.
These
systems,
powered
by
advanced
language
models,
can
deliver
personalized,
real-time
cancer
information
to
patients,
caregivers,
clinicians,
bridging
gaps
in
access
availability.
However,
their
ability
convincingly
mimic
human-like
conversation
raises
pressing
concerns
regarding
misinformation,
trust,
overall
effectiveness
digital
health
communication.
This
review
examines
the
dual-edged
role
AI
chatbots,
exploring
capacity
support
patient
alleviate
clinical
burdens,
while
highlighting
risks
lack
or
inadequate
algorithmic
opacity
(i.e.,
inability
see
data
reasoning
used
make
decision,
which
hinders
appropriate
future
action),
false
information,
ethical
dilemmas
posed
human-seeming
entities.
Strategies
mitigate
these
include
robust
oversight,
transparent
development,
alignment
with
evidence-based
protocols.
Ultimately,
responsible
deployment
requires
commitment
safeguarding
core
values
practice,
human-centered
care.
Язык: Английский
The Dead Internet Theory: A Survey on Artificial Interactions and the Future of Social Media
Asian Journal of Research in Computer Science,
Год журнала:
2025,
Номер
18(1), С. 67 - 73
Опубликована: Янв. 6, 2025
The
Dead
Internet
Theory
(DIT)
suggests
that
much
of
today's
internet,
particularly
social
media,
is
dominated
by
non-human
activity,
AI-generated
content,
and
corporate
agendas,
leading
to
a
decline
in
authentic
human
interaction.
This
study
explores
the
origins,
core
claims,
implications
DIT,
emphasizing
its
relevance
context
media
platforms.
theory
emerged
as
response
perceived
homogenization
online
spaces,
highlighting
issues
like
proliferation
bots,
algorithmically
generated
prioritization
engagement
metrics
over
genuine
user
AI
technologies
play
central
role
this
phenomenon,
platforms
increasingly
use
algorithms
machine
learning
curate
drive
engagement,
maximize
advertising
revenue.
While
these
tools
enhance
scalability
personalization,
they
also
prioritize
virality
consumption
communication,
contributing
erosion
trust,
loss
content
diversity,
dehumanized
internet
experience.
redefines
DIT
proposing
commodification
for
revenue
has
taken
precedence
meaningful
connectivity.
By
focusing
on
metrics,
foster
sense
artificiality
disconnection,
underscoring
need
human-centric
approaches
revive
interaction
community
building.
Язык: Английский
The Dead Internet Theory: A Survey on Artificial Interactions and the Future of Social Media
SSRN Electronic Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
Язык: Английский
Generation Gap or Diffusion Trap? How Age Affects the Detection of Personalized AI-Generated Images
Communications in computer and information science,
Год журнала:
2025,
Номер
unknown, С. 359 - 381
Опубликована: Янв. 1, 2025
Язык: Английский
Can large language models apply the law?
AI & Society,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 28, 2024
Язык: Английский
The AI-mediated intimacy economy: a paradigm shift in digital interactions
AI & Society,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 4, 2024
Язык: Английский
Modeling Persuasion in Social Media
Journal of Sociocybernetics,
Год журнала:
2024,
Номер
19(1)
Опубликована: Дек. 31, 2024
This
paper
introduces
a
theoretical
model
that
integrates
insights
from
sociocybernetics
and
persuasive
technology
to
deepen
the
understanding
of
content
dissemination
manipulation
within
social
media
platforms.
Algorithms,
while
central
curating
guiding
user
engagement,
are
vulnerable
exploitation
by
external
actors
with
differing
objectives.
The
study
examines
how
recommendation
algorithms
operate
as
active
agents
in
communication
processes,
rather
than
mere
facilitators,
these
systems
can
unintentionally
amplify
manipulative
strategies.
A
case
coordinated
cryptocurrency-related
activities
on
Facebook
Telegram
is
used
demonstrate
such
efforts
disrupt
communicative
functions
intended
platform
algorithms.
findings
contribute
broader
discourse
systemic
dynamics
digital
influence
interactions.
Язык: Английский
Digital Psychology: Introducing a Conceptual Impact Model and the Future of Work
Trends in Psychology,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 20, 2024
Abstract
The
present
review
is
the
first
of
its
kind
to
form
a
conceptual
discussion
about
novel
field,
here
referred
as
digital
psychology
.
result
impact
model
(in
short:
CIMDP)
highlighting
bidirectional
relationship
between
human
(consisting
affect,
cognition,
and
behavior)
transformation
(driven
by
datafication,
algorithmization,
platformization).
findings
CIMDP
are
applied
relevant
field
in
economy
business
development,
namely,
future
work,
which
appears
be
mediated
organizational
behavior
governed
managerial
decisions.
resulting
may
used
provide
orientation
new
research
domain
guide
studies
psychology,
cognitive
science,
transformation,
human–computer
interactions,
behavior,
management.
Язык: Английский