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Record W1969593231 · doi:10.5539/ass.v8n7p263

Islam and Media

2012· article· en· W1969593231 on OpenAlexvenueno aff
Mohd. Shuhaimi Ishak, Sohirin Mohammad Solihin

Bibliographic record

VenueAsian Social Science · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsnot available
Fundersnot available
KeywordsIslamTerrorismIslamophobiaIslamic studiesRepresentation (politics)Media studiesSociologyPolitical scienceReligious studiesLawTheologyPhilosophyPolitics

Abstract

fetched live from OpenAlex

The most important roles of the media are agenda-setting and representation. The media, particularly from the West, seems to feature Islam constantly in the negative light. The portrayal of the negative image of Islam takes place by constructing an image of Islam with terrorism, violence, extremism and antipathy to the West. A more recent phenomenon of Western media towards Islam is the fanning of ‘Islamophobia’ a form of concerted efforts directed to frighten the world of the hostility and enmity imposed by Islam. The Muslim world needs to respond to such striking negative representation of Islam. Contrary to what is generally perceived by the West, Islam in its real essence means ‘submission’ and ‘peace,’ a religion that calls for resignation to Allah and promotes and defends peace in the person. As much as the media can disrepute the general Muslim population and Islam, it can also restore and further inform the public of the true image of the religion. Thus, the primary aim of this paper is to explore the utilization of a variety of media to disseminate information and news to Muslims as well as non-Muslims on the true teachings of Islam. Through the media, the proper propagation and understanding of Islam can be enhanced by highlighting the universal values of the teachings of Islam. The media is a very important tool for effective communication and dissemination about Islam which the Muslim world could utilize.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.533
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.332
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations22
Published2012
Admission routes1
Has abstractyes

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