Notice bibliographique
Résumé
Every major newspaper in Nigeria has an online version. It is especially crucial to update and break news. Disqus is an app which provides a veritable platform for readers of these online newspapers to engage and discuss any news story. Disqus emerged through the increasing use of virtual world technologies that act as platforms for end-users to create, develop, and interact, expanding the realm of human communication, interaction, and creativity. Not only researchers and scholars are experiencing the importance of this new field, but also the news industry is strongly investing in these domains, and importantly too, society is responding with huge impacts and transformations through activities of online communities. Online communities are among the most obvious manifestations of social networks based on new media technology and Disqus stands out as a community of contestations; these discussions present layers of interactivity and entanglement which provide counterforces of structures that resonate as evolving communities. Interestingly, these are presented in sheer dramatic episodes sometimes with cause and effect. In other words, presentations occur as dialogues with occasional directions provided by readers. Suffice to add that they read as digital performances. For the newspapers and by-liners these might aggregate as feedback. However, these readers as commenters are at times prone to textual violence, internet bullying and hate speech. These actions and situations prove unsafe for journalism since the readers have pseudonyms or avatars or monikers which encourage anonymity. This research employs elements of textual and discourse analyses to articulate selected feedback and discussions from selected newspapers and saliently provides critical perspectives from these entanglements. The research further utilizes dramatic models like characterization/character development and script analysis to study the readers and their discussions. It conceives these interactions as not only virtual intersections but as virtual convergences. It qualifies some of these engagements as repulsive and outright displays of intolerance. The research duly appreciates that the newspapers which have gatekeepers on these virtual platforms likely show agreeable levels of moderation by commenters in language and interactions. The research submits that even where anonymity prevents readers’ identities, the presence of moderators is critical in providing some safety and this is evidential in some newspapers.
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 | 0,000 | 0,000 |
| 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 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».