The news at 404: Archiving and accessing online news content
Notice bibliographique
Résumé
As news outlets focus their resources on producing more digital content — in some cases ceasing print production entirely — the questions of if and how online news is archived become ever more pressing. While methods of delivering news content online have developed extensively over the past decade, strategies for preserving this content remain unclear, leaving content vulnerable to erasure. Moreover, the study of these archiving efforts remains largely at the fringe of academic research. Digital news cannot be archived in the same ways as its paper counterpart. The content is archived primarily through news media websites and news aggregation sites such as Factiva, LexisNexis, and ProQuest's Canadian Newsstream, who offer subscription-based access to archived digital content. This study aims to contribute to the understanding of the processes, policies, and perhaps politics, of news archiving in the digital era. This project documents the rates at which online Canadian national newspapers archive digital articles. In addition to monitoring archiving and permanent deletion trends, this project presents the variation in rates at which national news articles are archived by secondary archiving services Canadian Newsstream, Factiva, and LexisNexis. For this project, a sample of 688 online articles was collected over a constructed week from the Globe and Mail, National Post, and CBC News websites. Of the 688 total, 210 stories were from CBC, 240 were from the Globe, and 238 were from the Post. A quantitative content analysis was conducted on the sample to identify potential trends in how and why some articles are excluded from media outlets’ archives and secondary archives. At the end of a five year observation period, 584 of the original 688 articles were still available through the original sites. 55 of the original 688 stories were permanently deleted from the news sites. The study finds significant article loss by Canadian Newsstream, Factiva, and LexisNexis archives with rates of missing articles being three to five times higher for these secondary sites than the news media sites. Several factors impact the archiving rates for articles in the samples. They include: the parceling of licensed content; the use of video content on news websites; and the reliance on wire stories which are not archived at the same rate as content generated in-house. At its root, this project seeks to raise questions about long-term access to information. As the news media transitions further into the digital realm, the ability of individuals to access content becomes less certain. This potentially impacts community memory; the ability of individuals to access their history through media; and reduces the capacity of researchers to conduct news media-based historical analyses. Threats to future access to Canadian digital news media are threats to myriad forms of research that rely on news articles for historical information.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,032 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,007 | 0,013 |
| Études des sciences et des technologies | 0,010 | 0,005 |
| Communication savante | 0,013 | 0,008 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,002 |
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 source (Gemma direct ou Codex distillé), 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 ».