Proposed Methodology for Transmedia New Story Analysis
Bibliographic record
Abstract

 
 
 The study of transmedia in journalism is still evolving. Although news organizations around the world have been spreading stories through different and complementary platforms and screens, this does not necessarily constitute the use of transmedia concepts. Usually, the same story is simply distributed across multiple screens. Transmedia news reporting, in our view, would involve the expansion of content and engagement of the audience, instead of repetition and propagation. This article studies examples of possible applications of the transmedia concept to the news report, by examining The Float Project (Flutuador), in Brazil and comparing it to a potential model of engagement, The Great British Property Scandal: Every Empty Counts (2012) in the UK. The theoretical framework is provided by Henry Jenkins (2006), Carlos Scolari (2009), Kevin Moloney (2011), Renira Gambaratto (2013) Alzamora and Tárcia (2012) and proposes an evolving analytical model as a methodology for understanding transmedia applied to news features. The study points to major investments in building potential transmedia news reports by Globo Networks and suggests the necessary involvement of other departments and institutions to achieve full engagement and social relevance, as occurred in the UK project.
 
 
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".