Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 4, 2024
Abstract
As
artificial
intelligence
transforms
the
landscape
of
social
science
research,
large
language
models
(LLMs)
like
ChatGPT
present
both
unprecedented
opportunities
and
challenges.
This
study
explores
application
as
"surrogates"
or
computational
substitutes
for
human
participants
in
sociological
socio-psychological
research.
By
simulating
responses
to
complex
socio-cultural
issues,
we
investigate
how
well
can
replicate
attitudes
toward
immigration,
gender
stereotypes,
LGB
parenting
attitudes.
We
utilized
a
general
simulation
model
employing
detailed
demographic
prompts
generate
synthetic
participant
responses,
assessing
their
accuracy
political
biases.
Our
findings
reveal
consistent
liberal
bias
outputs.
The
results
demonstrate
ChatGPT’s
potential
simulate
diverse
behaviors
while
highlighting
limitations
explanatory
power
susceptibility
existing
societal
research
underscores
necessity
critical
evaluation
AI-generated
data
contexts
calls
further
refinement
LLM
methodologies.
