Digital Subscription Systems in the Face of COVID-19 Crisis: The Case of ‘El Mundo’
Bibliographic record
Abstract
The aim of this article is to analyse the impact of COVID-19 on the income models of the Spanish general interest press through an in-depth analysis of the case of ‘El Mundo’. This article shows data about the decline in advertising, both in printed and digital formats, during the first quarter of 2020 and, more specifically, during March. It also reveals that the media platforms with a previously implemented subscription system have gained a significant number of new registrations. Not only is ‘El Mundo’ an example of this trend, but also other newspapers such as ‘Eldiario.es’, ‘Ara’, ‘La Razón’ or ‘La Voz de Galicia’. The reader becomes an alternative to lessen advertising losses at a time of global transformation of the industry towards reader-revenue models. Long-term consequences of a probable economic recession once the pandemic effects are reduced are also considered in the analysis. The article also outlines some key points to ensure the viability of newspaper publishers, such as investing in journalists with relevant sources or profiles that know how to manage new digital businesses. Keywords: COVID-19, press, business, subscriptions and advertising.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".