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Enregistrement W2314470179 · doi:10.1177/073953290802900208

Study Asks if Reporter's Gender or Audience Predict Paper's Cancer Coverage

2008· article· en· W2314470179 sur OpenAlexaboutno aff
María E. Len‐Ríos, Sun‐A Park, Glen T. Cameron, Douglas L. Duke, Matt Kreuter

Notice bibliographique

RevueNewspaper Research Journal · 2008
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueMedia Studies and Communication
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAdvertisingPolitical sciencePsychologyMedia studiesSociologyBusiness

Résumé

récupéré en direct d'OpenAlex

Research shows women and racial and ethnic minorities are generally less represented as subjects and sources in news stories.1 Likewise, they have been under represented in medical research.2 The 1968 Kerner Commission Report, which implicated the news media for not adequately representing the lives of African Americans,3 spurred the news media to reflect U.S. societal groups more accurately. Similarly, government decisions, such as the 1995 Centers for Disease Control and Prevention policy requiring all externally funded researchers to explain their inclusion of women and minorities, are meant to increase the generalizability of medical research findings and increase knowledge of diseases that affect women and racial and ethnic minorities.4 Data show that blacks carry a heavier disease burden than does the general U.S. population5 and that the same disease can affect men and women differently.6Black newspapers have historically served as advocates for their readers, and, in the same way, some research shows female reporters are more likely to advocate for women (e.g., address women's rights and use female sources). The purpose of this research is twofold:* to determine if black newspapers and women appear to serve as advocates* to look at gender representation in both black and general audience newspapers. Researchers have studied reporter gender and the reporting of gender-specific cancers in network TV news and showed that men did most cancer story reporting.7More specifically, this study investigates how black newspapers and general audience8 newspapers serve their readers by reporting on gender-specific cancers relative to cancer incidence and mortality rates. It also evaluates whether the gender of the reporter is associated with cancer reporting, reporting of gender-specific cancers and the use of female story sources. Considering reporter gender is important because it is associated with story tone, content and use of a greater diversity of sources.9Cancer is second only to heart disease as a cause of U.S. death. 10 Prostate cancer and breast cancer are the most common gender-specific cancers.11 Estimates from 2007 showed 29 percent of all men and 37 percent of black men were diagnosed with prostate cancer. Additionally, prostate cancer accounted for 9 percent of cancer deaths in all men and 13 percent of cancer deaths in black men. In 2007, 26 percent of all U.S. women and 27 percent of black women were diagnosed with breast cancer. Breast cancer caused 15 percent of cancer deaths in all women and 19 percent in black women.12 Black men have a higher incidence of prostate cancer, and men overall are diagnosed more often with a gender-specific cancer than are women. Still, genderspecific cancers kill more women.Figures from 2006 specify there were 237 black newspapers,13similar to 1986 figures.14 Surveys demonstrate that African- American publishers and editors believe that their unique content distinguishes them from general audience newspapers.15 This view is shared by their readers.16 One survey revealed that 68 percent of African Americans report reading a black newspaper.17 A North Carolina survey showed that black newspaper readers were also more likely to read a local newspaper.18Black newspapers may be a valuable health news source for black readers. In a survey of black newspaper readers, 80 percent said they read stories that addressed black health risks; 67 percent said stories had influenced them to alter a health habit.19Few studies specifically address cancer coverage in the black press. Studies of Canadian ethnic cancer news suggested that content is culturally tailored20 and that ethnic groups selectively gather cancer information.21 One U.S. study that compared mainstream newspapers with ethnic newspapers found that ethnic newspapers focused more on prevention and that both newspaper types emphasized cancer treatments and breast cancer.22Reporter gender has been linked to gender representation in news stories, source selection and the reporting quality of gendered topics. …

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,010
score de la tête « metaresearch » (Gemma)0,062
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: Présentation des résultats · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,990
Score d'incertitude au seuil0,064

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0100,062
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0010,001
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0190,004

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.

Tête enseignante Opus0,318
Tête enseignante GPT0,486
Écart entre enseignants0,168 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeObservationnel
DomainePrésentation des résultats
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations28
Publié2008
Routes d'admission1
Résumé présentoui

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