The Use of Terminology in Reporting Islam: A Comparative Analysis
Notice bibliographique
Résumé
The use of terminology in reporting Islam has been one of the major concerns of many scholars and religious experts in recent years. Specifically, the media’s selection of words to describe Islam attracts attention of many righteous people. Words such as extremist, terrorist, militant, insurgent are mostly used to describe Muslims. This indicates the need to explore how the media particularly newspapers use terminology in reporting Islam, since people rely on the media for news and information. The present study focuses on content analysis of terminology used to describe Islam in selected Nigerian and Malaysian English newspapers. Two different divisions of sampling procedure were employed; sampling for the newspapers and sampling for related articles in the newspapers. The study used purposive sampling to gather data. Punch and Vanguard were chosen from Nigeria while The Star and New Straits Times were chosen from Malaysia based on their popularity and readership. Meanwhile, an internet-based search for news articles on Islam was performed. The aim was to locate the news articles relating to Islam in the selected newspapers. Articles between November 2015 and September 2016 were selected. Any article that focuses upon reporting Islam or Muslims fulfills the inclusion criteria. The content of each article was examined and read for relevance. The newspapers produced 599 different Islam-related articles within this period. The study found that 260 different Islam-related terms appeared in the selected newspapers. But Malaysian newspapers used more (200) of these terms than Nigerian newspapers, which used only 60. However, the most frequently used Islam-related term in the selected newspapers is “Islamist militants” which appeared 60 times, followed by “radical Islam” and “Islamist attacks”, which came second and third respectively. It was found that these words were used in negative context. It is therefore recommended that journalists should make an effort to understand clear connotation of the terminology they use, and use them properly. Newspapers should mind the use of terms in or order to avoid creating negative perception toward Islam.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,388 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».