Humans Perceive Ai-Generated Music as Less Expressive than Comparable Human-Made Content
Опубликована: Янв. 1, 2025
This
paper
outlines
two
experiments
examining
how
listeners
evaluate
and
distinguish
between
human-composed
AI-generated
music.
In
Experiment
1
(N=120),
participants
rated
the
same
musical
excerpt
were
alternately
told
it
was
composed
by
a
human
or
AI.
Responses
to
AI
condition
reported
music
be
less
expressive
evoke
of
an
emotional
response,
but
also
equally
as
enjoyable
human-made
content.
2
(N=657),
attempted
across
four
genres.
Participants
heard
pair
excerpts
in
either
"solvable"
(an
actual
AI/human
pairing)
deceptive
"unsolvable"
(both
pieces
generated
source,
AI).
When
both
different
sources
relied
on
technical
characteristics
for
identification,
suggesting
audible
differences
existed
compositions.
However,
when
forced
from
projected
more
qualities
onto
they
labeled
human.
These
findings
suggest
that
beliefs
about
creative
agency
influence
perception
engagement,
with
implications
we
experience
artistic
expression
era
increasing
Язык: Английский
AI vs. Human-Authored Headlines: Evaluating the Effectiveness, Trust, and Linguistic Features of ChatGPT-Generated Clickbait and Informative Headlines in Digital News
Information,
Год журнала:
2025,
Номер
16(2), С. 150 - 150
Опубликована: Фев. 18, 2025
This
study
explores
possible
applications
of
AI
technology
in
online
journalism,
given
the
predictions
that
speed
and
adaptation
to
new
medium
will
increase
penetration
automation
production
business.
The
literature
shows
while
human
supervision
journalistic
workflow
is
still
considered
vital,
changing
nature,
with
writing
micro-content
being
entrusted
ChatGPT-3.5
among
most
visible
features.
research
assesses
readers’
reactions
different
headline
styles
as
tested
on
a
sample
624
students
from
Timisoara,
Romania,
asked
evaluate
qualities
mix
human-written
vs.
AI-generated
headlines.
results
show
AI-generated,
informative
headlines
were
perceived
by
more
than
half
respondents
trustworthy
representative
media
content.
Clickbait
headlines,
regardless
their
source,
misleading
rated
manipulative
(44.7%).
In
addition,
54.5%
reported
decrease
trust
regarding
publications
frequently
use
clickbait
techniques.
A
linguistic
analysis
was
conducted
grasp
triggered
registered
responses.
provides
insights
into
potential
AI-enabled
tools
reshape
practices
digital
journalism.
Язык: Английский
News bylines and perceived AI authorship: Effects on source and message credibility
Computers in Human Behavior Artificial Humans,
Год журнала:
2024,
Номер
2(2), С. 100093 - 100093
Опубликована: Авг. 1, 2024
Язык: Английский
Generating Credibility in Crisis: Will an AI-Scripted Response Be Accepted?
International Journal of Strategic Communication,
Год журнала:
2024,
Номер
unknown, С. 1 - 18
Опубликована: Дек. 17, 2024
Increasingly,
practitioners
are
using
artificial
intelligence
(AI)
to
strategically
monitor
and
respond
crises.
However,
there
is
little
evidence
indicating
whether
a
crisis
response,
disclosed
as
AI-scripted,
will
be
accepted
by
stakeholders
what
effects
the
disclosure
may
have
on
message
credibility,
attribution
of
responsibility,
acceptance,
organizational
reputation.
Using
Situational
Crisis
Communication
Theory
(SCCT),
this
2
(type
crisis)
x
(presence
or
absence
AI
label)
online
experiment
explored
how
AI-generated
content
affects
post-crisis
outcomes.
Participants
(n
=
238)
were
randomly
assigned
vignette
featuring
victim
(e.g.
shooting)
accidental
data
breach)
cluster
detailed
response
that
either
did
not
disclose
was
AI-generated.
Results
revealed
no
effect
credibility
responsibility.
acceptance
served
mediator
between
responsibility
This
study
contributes
SCCT
provides
contextual
for
who
considering
responses.
Ethical
implications
future
directions
discussed.
Язык: Английский