Interactive and multimedia journalism: evaluating Canadian news media’s implementation of non-traditional storytelling elements in online features about the “Airbnb Effect”
Bibliographic record
Abstract
Since spring 2019, numerous Canadian news outlets have reported on the problem caused by short-term rentals in cities across the country and the so-called "Airbnb effect"”— the transferral of apartments from long-term rental markets toward the short-term market via Airbnb and similar platforms. The three examples analyzed integrated multimedia and interactive elements into their online long-forms, which is an important step towards a more beneficial integration, for both journalists and readers, of interactive and multimedia into news reporting. This essay analyzes three examples of multimedia and/or interactive journalism that apply “snowfalling” techniques to news stories about short-term rental issues in Canada, from three different news outlets: The Globe and Mail, GlobalNews and CBC/Radio Canada. This study concludes that while it is clearly important for news outlets to explore new, alternative forms of multimedia and interactive storytelling in a continuously evolving digital news environment, they also need to balance it with a similar effort in reconnecting with the communities that they serve.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".