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Enregistrement W4408587958 · doi:10.3389/fcomm.2025.1546333

University, social media, and student engagement: the challenge of “trust” in organizational communication. A voice from European university researchers to foster inclusion in higher education

2025· article· en· W4408587958 sur OpenAlexaboutno aff
Marina Galioto, Francesca Pedone, Apostolos Vantarakis, Alessandra La Marca, Antonino Bianco

Notice bibliographique

RevueFrontiers in Communication · 2025
Typearticle
Langueen
DomaineSocial Sciences
ThématiquePublic Relations and Crisis Communication
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésInclusion (mineral)Social mediaPublic relationsPedagogyHigher educationPolitical scienceSociologyChemistryMedia studiesPsychologySocial science

Résumé

récupéré en direct d'OpenAlex

encourage general audience's empowerment with greater interaction in virtual scenarios and digital spaces (Guillory & Sundar, 2014) (Taylor & Kent, 2014) (Gopika, 2023;Young et al., 2020) (Capriotti et al., 2024).The COVID-19 Pandemic has disrupted traditional methodologies and digital communication has become strategic not only to keep alive a worth public image, but especially to hold people involved in a community, seeking to provide feelings of safety and consideration: despite distances and prohibitions, social media have ensured individuals to communicate with families, friends and peers (Cho et al., 2023). Nowadays more than half of the global population uses social media, and it happens not just to experience them: people tend to use networks to connect with others as social need (Brandtzaeg & Heim, 2009): nevertheless, while institutions need to equip properly themselves with the ambition to produce an impactful digital storytelling of "what they are" through "what we see", educators and institutional managers have the responsibility to enhance new embedded canals to educate and train students, from schools to universities, exploiting the timeless power of social media platforms (Sanz-Labrador et al., 2021).Beside this functional aspect, suppose now the priority for social media platforms to attract and keep their audience involved, entertained: following this view, institutions sharing contents through social media have the same purpose to entertain and engage their communities as partners for building a shared public identity (Ihlen et al., 2011) (Dhanesh et al., 2022).In fact, the more people feel they are part of an institution, the more the management can count on them and have the chance to influence new trends. From this perspective, we want to focus on universities, leading the idea that digital community development, interactions between academics and staN through social media and students 'engagement promotion are deeply learning contexts (Ansari & Khan, 2020) (Lu et al., 2024). 135Along with a general agreement on beneficial eNects brought on students by feelings related to 136 sense of community and inclusion (Allen et al., 2021) and their capacity to lessen disparities 137 and ethnics matters among students during their academic experiences (Gopalan & Brady, 138 2020), researchers are still debating the most eNective way to generate engagement among 139 users and how to measure it (Smith & Gallicano, 2015). 140It follows that as researchers detecting digital environments within universities we cannot 141 ignore the relevant key role raised up by the emotional well-being in academic performance 142 and students 'living: educators have the responsibility to turn the impact of the social media's 143 use on everyday life in an innovative path to promote health among students, aiming at a 144 sustainable educational evolution, exploring new tactics to succeed in human progress (Kent 145 & Taylor, 2021) (Li, 2022). Organizing and sharing contents from an institutional account (SPPEFF Department) of an important institution like the University of Palermo can be challenging and exciting for students, even if perceived as a task of responsibility. We are committed to involve, within an experimental educational design, persons attending programs from this department, engaging them in the natural process of building the digital identity for our institution under a collaborative view: we understand this could reveal an explosive power in terms of concern and interest. Nevertheless, we are aware that this digital enterprise needs special attention on policy 'aspects related to privacy and informatic risks; moreover, this experimental editorial plan should be validated and supported by a team of experts based on well-structured rules, scientific rigor, timing and scope.Literature have reported about some municipalities in Italy that have already experimented citizen-based management activities for a while, in the framework of specific engagements' objectives, and the results were encouraging (Ducci et al., 2019).The SPPEFF department training oNer is characterized by themes referring to psychology, pedagogy and other specific educational courses person-centered related to the development of knowledges and skills to deal with people along the lifespan, from children to adults.We are confident that initiatives for digital innovation, following an experimental approach led by a research unit in a social media laboratory, where human relationships care and trust are considered strategic for developing a fruitful collaboration, not only may improve people's autonomy and academic self-eNicacy in students attending program, but also an overall sense of community and inclusivity (Montgomery, 2018) (Aldossari, 2023;Alshuaibi et al., 2018;Ansari & Khan, 2020) .Strengthening an innovative institutional communication approach students-based, fully immersed in the learning environment, grounded on loyalty and reliability as the roots of a long- lasting social pact, looks to be a sustainable way to progress in organizational communication, influencing an ideal cultural evolution (Whittaker & Montgomery, 2014).

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 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)0,003
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,604
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0020,003
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 Opus0,057
Tête enseignante GPT0,328
Écart entre enseignants0,272 · 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 tête enseignante, 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

Citations5
Publié2025
Routes d'admission1
Résumé présentoui

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