Redefining Gatekeeping Theory For A Digital Generation
Bibliographic record
Abstract
Technological advancements and digital media have problematized traditional gatekeeping theory. This paper focuses on how the immediacy, authenticity, and transparency of digital media challenges the original theory of gatekeeping in terms of what defines a gatekeeper, the role of gatekeepers and the speed and flow of information as it pertains to understand those who control and influence the flow of journalistic content and information online. We suggest that news institutions are unsuccessful in attempting to re-appropriate control online by exercising traditional gatekeeping practices. Our new model transforms Shoemaker and Vos’ unidirectional flow model (2009) into a multidirectional flow by which all actors have the potential to influence one another and the flow of information. Digital media functions as a hub or nexus of information exchange and influence, connecting everyday individuals to organizations, by primarily channeling through the mediation of networked individuals and professional communicators; thus, gatekeeping is redefined online.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.020 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".