A Qualitative and Quantitative Method for Studying Religious Virtual Communities: The Case of the Salafi United Kingdom’s Community on Twitter (X)
Religions,
Год журнала:
2025,
Номер
16(4), С. 494 - 494
Опубликована: Апрель 10, 2025
This
open-source-based
article
presents
an
automated
method
for
identifying
and
tracing
popular
Salafi
discussions
online.
The
novelty
of
this
lies
in
its
inter-disciplinary
approach
developed
through
collaboration
among
experts
the
fields
Middle
East,
Islamic
studies,
computer
science.
computerized
model
presented
here
harnesses
machine
learning
techniques
to
accurately
identify
writings
on
social
media
distinguish
them
from
Muslims
other
denominations.
Creating
AI-supported
between
that
pertain
two
different
denominations
is
a
highly
difficult
task.
Based
methodology
it
implements,
study
identifies
United
Kingdom-based
Twitter
accounts
embody
thinking
(even
if
they
do
not
utilize
terminology
manifestly
Salafi)
and,
based
identification,
analyzes
characterizes
community
Twitter.
Unlike
ideology-related
studies
are
focused
Salafi-jihadism,
present
research
quietist
Salafism
(Salafi-taqlidis)
Kingdom.
purpose
examine
virtual
Kingdom,
with
focus
key
issues
concern
members
assessing
influence
global
trends
within
UK-based
community.
Язык: Английский
Exploring Semantic Hadith Overlap Across Topics
Communications in computer and information science,
Год журнала:
2025,
Номер
unknown, С. 127 - 138
Опубликована: Янв. 1, 2025
Язык: Английский
Examining AI Use in Educational Contexts: A Scoping Meta-Review and Bibliometric Analysis
International Journal of Artificial Intelligence in Education,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 27, 2024
Abstract
With
growing
research
attention
in
artificial
intelligence
education
(AIED),
there
is
a
profusion
of
systematic
reviews
that
have
investigated
AI
integration
wide
variety
educational
contexts,
including
PreK-12
schools
and
higher
education.
Even
though
existing
explored
effects
on
education,
few
studies
synthesized
the
results
those
reviews.
To
fill
this
gap,
we
conducted
scoping
meta-review
bibliometric
analysis
to
map
broad
field
AIED
identify
gaps
based
our
analysis.
Following
Preferred
Reporting
Items
for
Systematic
Review
Meta-Analysis
(PRISMA)
guidelines,
searched
Scopus
Web
Science
collected
126
review
articles
from
2014
Mid-August
2023
satisfied
inclusion
criteria.
Specifically,
used
four
criteria
screening
process:
(1)
article’s
full
text
was
available
English;
(2)
article
published
peer-reviewed
journals;
(3)
review;
(4)
focused
use
one
or
multiple
context(s).
Our
findings
revealed
key
characteristics
included
reviews,
such
as
keyword
co-occurrence
network,
co-authorship
geographic
distribution
authorship,
levels,
subject
areas.
Three
major
themes
related
were
generated,
encompassing
AI’s
impact
teaching,
learning,
administration.
We
also
identified
commonalities
nuanced
differences
between
along
with
areas
been
underexplored.
study
not
only
expanded
understanding
AIED,
but
provided
suggestions
how
strengthen
future
research.
Язык: Английский
Impact of Machine Learning Integration in Qur’anic Studies
Machine Learning Research,
Год журнала:
2024,
Номер
9(2), С. 54 - 63
Опубликована: Окт. 29, 2024
The
advancement
in
the
field
of
computer
science,
especially
machine
learning
(ML),
represents
a
flourishing
innovation
that
carries
great
importance
domain
education.
beneficial
impact
ML
can
also
be
observed
realm
Qur’anic
studies,
particularly
Arabic
text
recognition
and
recitation
analysis.
This
paper
presents
comprehensive
analysis
34+
published
scholarly
articles
devoted
to
studies.
work
explores
convergence
methodologies
examining
innovative
applications
for
voice
classification.
fusion
algorithms
makes
easy
accurate
analyze,
interpret,
extract
valuable
insights
from
sacred
text.
Subsequently,
we
delve
deeper
into
emergent
like
k-NN,
ANN,
BLSTM,
MFCC,
SVM,
NB
DL
approaches
have
been
adapted
texts
classification,
on
accuracy,
speed,
class
recognition,
response
rate
biasness
benchmark.
covers
diverse
range
applications,
including
automated
exegesis
usage
Ahkam
Al-Tajweed.
main
contribution
is
provide
insight
how
facilitates
Kufic
textual
analysis,
linguistic
subtleties,
thematic
structures
Using
deep
approaches,
reciters,
style
Quranic
has
explained
work.
Язык: Английский
Bibliometric Analysis of the Development of Hadith Studies in Reputable International Scientific Publications
HADIS,
Год журнала:
2024,
Номер
14(27), С. 1 - 13
Опубликована: Июнь 25, 2024
This
study
aims
to
understand
and
analyze
trends
patterns
in
scientific
publications
related
Hadith
studies
through
bibliometric
analysis
using
data
from
the
Scopus
database
2013
2023.
is
a
on
examine
structure
dynamics
of
field.
The
research
involves
five
stages:
determining
search
keywords,
selecting
articles,
validating
data,
analysis.
utilizes
VosViewer
annual
publication
trends,
author
citations,
types
media,
development
map
studies.
results
show
fluctuating
increase
number
over
last
decade,
dominated
by
journal
articles
(78.4%).
most
prolific
Christopher
Melchert,
while
Ramadani
V.
his
colleagues'
works
are
cited.
AlBayan
main
source.
Topics
like
"hadith"
"analysis"
discussed,
topics
such
as
"significance"
"Islamic
law"
less
explored,
opening
opportunities
for
future
research.
These
findings
can
help
develop
curricula
enhance
global
academic
collaboration.
Язык: Английский