Future Internet,
Journal Year:
2022,
Volume and Issue:
14(11), P. 320 - 320
Published: Nov. 3, 2022
Intentionally
deceptive
online
content
represents
a
significant
issue
for
society.
Multiple
techniques
have
been
proposed
to
identify
and
combat
its
spread.
To
understand
how
inform
individuals
most
effectively
about
the
potential
biases
of
other
issues
with
content,
this
article
studies
factors
that
impact
perception
content.
Specifically,
it
looks
at
these
similar
or
different
depending
on
income
level,
political
affiliation
usage
time
Americans.
A
national
survey
was
conducted
asked
respondents
multiple
influence
their
others’
trustworthiness.
It
also
what
ideal
should
be.
This
data
is
presented
analyzed
herein,
conclusions
are
drawn
implications,
regard
preventing
spread
discussed.
Information,
Journal Year:
2022,
Volume and Issue:
13(5), P. 252 - 252
Published: May 13, 2022
Deceptive
online
content
represents
a
potentially
severe
threat
to
society.
This
has
shown
have
the
capability
manipulate
individuals’
beliefs,
voting
and
activities.
It
is
demonstrably
effective
way
for
foreign
adversaries
create
domestic
strife
in
open
societies.
also,
by
virtue
of
magnitude
content,
very
difficult
combat.
Solutions
ranging
from
censorship
inaction
been
proposed.
One
solution
that
suggested
labeling
indicate
its
accuracy
or
characteristics.
would
provide
an
indication
even
warning
regarding
may
be
deceptive
nature,
helping
consumers
make
informed
decisions.
If
successful,
this
approach
avoid
limitations
on
creators’
freedom
speech
while
also
mitigating
problems
caused
content.
To
determine
whether
could
effective,
paper
presents
results
national
survey
aimed
at
understanding
how
impacts
consumption
decision
making.
ascertain
impact
potential
techniques
different
portions
population,
it
analyzes
labels’
efficacy
terms
income
level,
political
party
affiliation
usage
time.
This,
thus,
facilitates
determining
aids
understating
effectiveness
vary
demographic
group.
Information,
Journal Year:
2022,
Volume and Issue:
13(11), P. 516 - 516
Published: Oct. 28, 2022
Online
content
is
consumed
by
most
Americans
and
a
primary
source
of
their
news
information.
It
impacts
millions’
perception
the
world
around
them.
Problematically,
individuals
who
seek
to
deceive
or
manipulate
public
can
use
targeted
online
do
so
this
readily
believed
many.
The
labeling
as
way
alert
consumers
potential
deceptive
has
been
proposed.
This
paper
looks
at
factors
which
impact
its
perceived
trustworthiness
and,
thus,
analyzes
these
based
on
age,
education
level
gender.
analysis
shows
that,
while
all
label
types
enjoy
broad
support,
support
uncertainty
about
varies
age
with
different
labels
outperforming
for
given
levels.
Gender,
alternately,
was
not
shown
have
tremendous
respondents’
perspectives
regarding
labeling;
however,
females
where
more,
average,
but
also
report
more
uncertainty.
2021 International Conference on Computational Science and Computational Intelligence (CSCI),
Journal Year:
2023,
Volume and Issue:
unknown, P. 719 - 726
Future Internet,
Journal Year:
2022,
Volume and Issue:
14(11), P. 320 - 320
Published: Nov. 3, 2022
Intentionally
deceptive
online
content
represents
a
significant
issue
for
society.
Multiple
techniques
have
been
proposed
to
identify
and
combat
its
spread.
To
understand
how
inform
individuals
most
effectively
about
the
potential
biases
of
other
issues
with
content,
this
article
studies
factors
that
impact
perception
content.
Specifically,
it
looks
at
these
similar
or
different
depending
on
income
level,
political
affiliation
usage
time
Americans.
A
national
survey
was
conducted
asked
respondents
multiple
influence
their
others’
trustworthiness.
It
also
what
ideal
should
be.
This
data
is
presented
analyzed
herein,
conclusions
are
drawn
implications,
regard
preventing
spread
discussed.
