Notice bibliographique
Résumé
For nearly a decade theories have been advanced about why journalists have, or have not, adopted computer-assisted reporting (CAR) methods. It has been pointed out that CAR developed in the United States and was adopted more readily and used for deeper research by journalists in that nation than in other nations. One hypothesis in particular gained widespread currency. It was an untested assumption that CAR evolved in the United States and was used to better effect there because that nation had more open freedom of information (FoI) laws than comparable laws in many other nations - especially other major English-speaking nations. It was also believed that defamation and contempt laws had less chilling effects on United States' journalists than journalists working in nations with Westminster systems of government. This thesis contributes to new knowledge by reporting on findings which resulted from testing the foregoing theories. The research also produced important original secondary findings. The thesis examines the foundations of FoI and CAR and the place of each in different political and legal systems. It also contains conclusions drawn from a consideration of complex methodological issues related to journalism as an academic discipline. Among other things, it is explained how the research informing the thesis broke new ground internationally by specifically identifying the foundations of different concepts of freedom of information and the philosophies informing them in the modem era. In doing so it traces the roots of FoI from Seventh Century China, to 18th Century Sweden, to the United States in the mid-20th Century and then to other nations - some of which inappropriately adopted the United States' model of FoI in the past 20 years. Similarly, the evolution of CAR is traced from concepts which emerged in the 1960s and 1970s through to its use at the start of the 21st Century as a powerful practical tool for journalists. It is explained how that progression roughly paralleled development of the Internet and World Wide Web. Through consideration of in-depth case studies there are comparisons of the evolution and functioning of FoI and CAR in the United States, Australia, Canada and New Zealand - with the latter three countries forming a group of prominent Westminster system nations which enacted their own FoI statutes in 1982. There is also an examination of the major differences between the United States' system of government and governance in the three Westminster nations. One area canvassed in detail concerns the effects on journalism, CAR and FoI of a clear three-way separation of powers between the legislature, judiciary and executive in the United States compared with the impacts of a lack of separation between legislatures and executive arms of government in Westminster nations. Another aspect of the research focussed on a finding that the United States failed to take such issues into account when it obsessively promoted its model of FoI as a foreign policy tool after World War II. It is also explained that comparative surveys of thousands of news stories in the nations considered herein produced some surprising results, including the fact that on a per capita basis New Zealand journalists were the lowest users of CAR but the highest users of FoI. That finding was related to a major conclusion of the research - which was that there was no direct link between the evolution of CAR in the United States and that nation's FoI laws. It was found, however, that there were links between the guarantees of press freedom and freedom of speech contained in the First Amendment to the United States' Constitution and the adoption of CAR in that nation. A new way to conceptualise CAR as a collection of different journalistic tools is also proposed. The research pointed to an urgent need for greatly improved and properly informed education about the true basis of FoI so that it can be better understood by politicians, public servants, academics and students. It also reinforced conclusions of earlier researchers that there is a continuing need for journalists and media organisations to be educated about CAR and how to use it to best effect. Finally, a pressing requirement was identified for more research to define and document the methodology of journalism as an academic discipline.
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 | 0,001 | 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 | 0,002 |
| 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) | 0,000 | 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 ».