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Enregistrement W2791618784 · doi:10.18438/eblip29384

A Study of a Sample of Facebook Users Finds They Do Not Seek Political News through Facebook But Are Exposed to Political News through This Medium

2018· article· en· W2791618784 sur OpenAlexvenueno aff
Elizabeth Stovold

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2018
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSocial Media and Politics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNewspaperPoliticsAppealCyberpsychologyAdvertisingSocial mediaNews valuesNews mediaSample (material)PsychologyPolitical scienceInternet privacyBusinessComputer scienceLaw

Résumé

récupéré en direct d'OpenAlex

A Review of: Schaferm, S., Sulflow, M., & Muller, P. (2017). The special taste of snack news: an application of niche theory to understand the appeal of Facebook as a source for political news. First Monday, 22(4-3). http://dx.doi.org/10.5210/fm.v22i4.7431 Abstract Objective – To investigate Facebook as a source of exposure to political news stories and to compare the reasons for using Facebook as a news source and the gratifications obtained, compared with other news sources. Design – Survey questionnaire. Setting – Facebook. Subjects – 422 German Facebook users. Methods – An online survey was developed to investigate the use of Facebook as a news source compared with other sources. Specific research questions were informed by the ‘theory of niche’ (Dimmick, 2003) which examines the coexistence and competition between different media outlets by examining the breadth, overlap and superiority of one platform over another. The survey was distributed using a ‘snowball’ technique between July and August 2015. The survey was shared by 52 student research assistants on their Facebook profiles. They asked their friends to complete the survey and share it with their own networks. Main results – The mean (M) age of the 422 respondents was 23.5 years (SD=8.25). The majority were female (61%) with a high school degree (89%). TV news and news websites were the most frequently used sources of political news. Facebook ranked third, ahead of newspapers, search engines, magazines, email provider websites, and Twitter. The mean score for the importance of Facebook as a news sources was 2.46 (SD=1.13) on a scale of 1 to 5, where 1 is low and 5 is high. This fell in the middle of the range when compared with the top ranked source assessed by importance (TV news, M 4.40, SD=0.88) and the lowest (email providers, M 1.92, SD=0.97). Users rarely visited Facebook with the purpose of finding news (M 1.59, SD=0.73). However, they estimated around 24% of the posts they see were concerned with political news, and when encountered, these stories are frequently read (M 3.53, SD=1.18). However, the level of interaction as measured by liking, commenting, sharing or status updates was low (M 1.94 SD=1.09; M 1.37, SD=0.79; M 1.51, SD=0.85 and M 1.4, SD=0.78 respectively). The ‘gratification’ categories where Facebook as a news source scored the highest were for killing time (M 2.97, SD=1.29), entertainment (M 2.92, SD=1.05), and surveillance (M 2.77, SD=1.01). When compared to newspapers and TV news, it was found that Facebook has a lower score for niche breadth, meaning that it serves a specific rather than general news function. Facebook also had a lower overlap score when compared with the other media, thereby performing a complementary function, while TV news and newspapers perform similarly. TV news scored better for providing balanced information, surveillance and social utility while Facebook scored highest for killing time. There was no difference in the category of entertainment. There was a similar picture when comparing Facebook with newspapers. Conclusion – The authors conclude that while users do not actively seek political news through Facebook, they are exposed to political news through this medium. Respondents did not consider the news to be well balanced, and that currently Facebooks’ niche is restricted to entertainment and killing time. The authors note that this may be disappointing for news organisations, but there is potential to expose large audiences to political news when they are not actively seeking it. The findings represent a specific time point in a changing landscape and future research will need to take these changes into account. Comparisons with other online news sources and the use of objective measures to validate self-reported data would be valuable areas for future research.

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)0,001
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,015

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,001
Études des sciences et des technologies0,0020,001
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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 Opus0,069
Tête enseignante GPT0,354
Écart entre enseignants0,285 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
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

Citations1
Publié2018
Routes d'admission1
Résumé présentoui

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