On humanitarian virality: <i>Kony 2012</i> , or, the rise and fall of a pictorial artifact in the digital age
Bibliographic record
Abstract
This article adopts a socio-visual constructivist approach to explain how the Kony 2012 video became a site of intense symbolic struggle regarding how to represent humanity in the digital age and, in the process, one of the most viral and intensely contested cultural artifacts of the last few years. The first section demonstrates that the video employs the visual conventions of personification and rescue, which form part of an iconographic repertoire coding certain events as humanitarian crises recognizable as such by Euro-American audiences. Conversely, the author examines how these tropes drew upon a neocolonial framing of humanitarianism, one that Ugandan and Western critics questioned and against which they offered an alternative vision of the post-civil war realities of northern Uganda. However, to avoid pictorial reification, the article’s second section retraces the institutional and actor-based networks through which still and moving images from Kony 2012 and its associated campaign circulated. The concept of pictorial exponentiality is introduced to explain how these images multiplied in digital public spaces through the accelerating digital cycles. This section also examines the concept of digital feedback loops to make sense of the non-linear and institutionally ‘flattened’ social relations binding pictorial actors debating the video’s representational content and responding to each other via social media- and web-based exchanges. Kony 2012 was a key marker of an era during which the visual politics and ethics of portrayal of the human unfold digitally, through social media and online video platforms as much as conventional institutions of image production and dissemination. By treating the video as a cultural artifact whose viral rise and fall are attributable to the pictorial conventions upon which it drew and the structure of the networks through which it circulated, the article reveals how understandings of humanity are visually constituted, contested, and undone in the digital age.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.021 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".