Interactive documentary and the reinvention of digital journalism, 2015–2020
Bibliographic record
Abstract
Interactive documentary (i-docs), an innovative hybrid form at the intersection of film, journalism, and digital games, has matured beyond its first wave of experimentation, gaining distinction among the most highly evolved immersive media of the twenty-first century. The latest generation of i-docs is currently winning accolades at both major film festivals and game design summits. This study charts the evolutionary trajectory of North America’s most recent and influential wave of i-docs in works mostly appearing since 2015. It culturally situates i-docs as immersive media that extend experimentation with narrative journalism into the realm of fine art and social activism. Building on the foundation of activist, highly empathic news experiences established in the early 2010s, the most recent advances in i-docs range from live action VR to animated digital games. Such works include the Canadian National Film Board’s 2018 AR (augmented reality) experience East of the Rockies, Occupied’s 2019 Cannes entry The Holy City VR, Roger Ross Williams’ 2019 Tribeca debut Traveling While Black, and iNK Stories Verité VR Series’ 2017 Blindfold and Hero, winner of the prestigious Storyscapes Award at Tribeca in 2018. The vanguard of i-docs has expanded collaboration between film, news, and digital game industries to provide new forms of citizen engagement through advocacy journalism aimed at social and political change. Through the use of John Pavlik’s (2019) critical framework for understanding immersive journalism, this article examines the texts, producers, and industrial contexts of the most recent and influential North American i-docs, as one branch of the form defined by Gaudenzi, Aston, and Rose. Principles of transparency, social responsibility, and a commitment to veracity in i-docs epitomize the esthetic and political potential of digital journalism as an empathic alternative to traditional news coverage.
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 | 0.002 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| 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".