Kevin Mitnick, the New York Times, and the Media's Conception of the Hacker
Bibliographic record
Abstract
The New York Times coverage of Kevin Mitnick (47 articles from 1994 to 2012) reflects the changing popular conception of hackers, as well as legitimatizing and solidifying those evolving images and stereotypes. In this chapter, I examine how over the course of the this coverage the term shifts from an identifier of a particular technological subculture to a stand-in term for criminality. Kevin Mitnick is most consistently referred to as a throughout the New York Times coverage, but from 1994 to 2012, the use of terms to modify terms decreases, until eventually terms are used a pure synonyms for terms, as well as referencing general culture in contexts where criminality is assumed. This transition is reinforced by the introduction of the term ex-hacker following Mitnick's release from prison as a theoretically rehabilitated member of society. The equals criminal move is reinforced by a variety of persistent metaphors, characterizations, narratives, and other repeated references that appear throughout the New York Times coverage. Following Lakoff (1980), I show how the repeated use of metaphors of house and home to describe Mitnick's illegal acts characterize the actions of hackers as a threat to individuals, not just states or corporations. The news articles also repeatedly describe Mitnick and the hacker community at large in the context of anti-social behavior, insanity, addiction, and the cultural narrative of juvenile delinquency, resulting in a persistent association of hacking with bad or broken actors. This aspect in particular follows conclusions previously made by James Aho (1984) and Helen Nissenbaum (2004) on the use of certain associations to create social enemies and out-groups.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".