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Enregistrement W1838505358 · doi:10.18438/b8v60k

Academics in the UK Use Social Media to Enhance Traditional Scholarly Reading

2013· article· en· W1838505358 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

venuePublié dans une revue dont le pays d'attache est le Canada.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2013
Typearticle
Langueen
DomaineComputer Science
ThématiqueWeb and Library Services
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRespondentSocial mediaDemographicsReading (process)Public relationsGovernment (linguistics)Medical educationPsychologySociologyPolitical scienceMedicineComputer scienceWorld Wide Web

Résumé

récupéré en direct d'OpenAlex

Objective – To investigate academic staff’s use and creation of social media for work-related purposes as well as analyze how this influences consumption of traditional scholarly resources. 
 
 Design – A 60 question survey instrument in questionnaire format (instrument appended to the article).
 
 Setting – Six universities in the United Kingdom.
 
 Subjects – Respondents include 2,117 academic staff or faculty.
 
 Methods – In 2011, the authors sent a 60 question survey to 6 universities in the United Kingdom. Library directors were asked to send out the survey to their university’s academic staff, and 12,600 invitations were sent out. An application to the Institutional Review Board was also implemented and approved as long as the respondents could exit the survey at any time. There were 2,117 respondents with a maximum of 1,078 respondents to the questions regarding social media. 
 
 Questions included in the survey asked the frequency of use of traditional scholarly resources with a focus on reading articles and books. Respondents were also asked to answer questions regarding how they accessed resources and how they used what they were reading. They were asked to provide information regarding accessing other publications such as conference proceedings, government documents, and magazines or trade journals. The authors also recorded demographic information such as respondent’s field of study, position within the university, age, and gender. Following questions regarding use of traditional resources and demographics, respondents were asked to answer questions regarding social media use and creation for work-related purposes. 
 
 Main Results – The authors asked respondents how much traditional scholarly reading they did in the last month. With regard to traditional scholarly reading activity, the authors found that academic staff in the United Kingdom read about 22 articles, with medical and health sciences field consuming the most articles and social scientists consuming the least. Book and book chapter reading is more prevalent in the humanities discipline as they, on average, read about 20 books or book chapters. The average across disciplines is seven books or book chapters, with the medical and health sciences academic staff reading the least. “Other publications” were also accounted for such as government documents, trade journals, and conference proceedings, and on average, academics read about 11 in the last month. After data was collected, authors excluded outliers over three standard deviations from the mean to assure a more representative average.
 
 Respondents were asked how often they use social media such as blogs, online videos, RSS feeds, Twitter, user comments in online articles, podcasts, and other. The authors found that academics in the United Kingdom use social media occasionally, but not on a regular basis. They also found that social media is less likely to be created than used. Occasional use is recorded by half of the respondents who use only two of the resources listed in the survey. Only 5% of the respondents said they use all of the social media tools listed. Over half of the respondents said they do not “create” social media tools for work. Participation and use of the tools is much more prevalent according to the results of this survey. 
 
 Regarding demographic responses recorded, those who are in the humanities and medical and health sciences use more blogs for their work, and those in the medical and health sciences also participate most in user comments in articles. Younger respondents (under 30-40 years of age) use more social media tools such as blogs, RSS feeds, and Twitter. Those who are actively teaching tend to use social media more frequently and while they do not create tools more frequently than others, they do create the most online videos out of any of the tools mentioned. There was no significant association between use of social media and the respondent’s position, gender, or the number of awards earned. Respondents who “tweet” or use Twitter consume the most amount of scholarly material. Overall, the authors found that those who participate in social media also consume a significant amount of traditional scholarly content. 
 
 Conclusion – The authors conclude that while most academics in the United Kingdom participate in use of social media for work-related purposes, the results show that usage is not as frequent as expected. Creation of these tools is even less frequent, although the survey did show that academics who consume traditional scholarly resources tend to also consume social media more frequently. The use of social media is also not replacing traditional scholarly resources, but instead they are used alongside as part of the vast amount of information sources available to scholars. Publishers and others who are tasked with creation of scholarly content should consider the addition of social media tools into products. The article also implies that when academics can easily access both traditional and social media tools and use them in conjunction, the use of social media tools in academia will grow.

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCommunication savante
Catégories consensuellesCommunication savante
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,949
Score d'incertitude au seuil0,997

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0040,663
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,038
Tête enseignante GPT0,260
Écart entre enseignants0,223 · 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