News that Counts: Newspaper Images of Crime and Victimization Statistics
Bibliographic record
Abstract
The study of media images of crime and victimization has tended to focus on the reporting of criminal events. However, the reporting of crime and victimization statistics is an important, if unaddressed theme in crime news coverage. Such statistics, as Joel Best and other social constructionists have argued, perform as important rhetorical devices in the social processes by which crime and (other social) problems are constructed and maintained. Such statistics are used to press claims about the pervasiveness and scope of new problems and therefore about the need for urgent social action. At the earliest stages, these claims may be issued by those who have no official status but who may be the only ones interested in the emergent issue. The legitimacy which statistics lend to social problems is relevant not only at the initial phases of construction, however. To remain on the public agenda, social problems require maintenance. And the regular diffusion of statistical information which purports to document shifts in the scope or size of the problem is essential to such maintenance. Most often, the role of collecting and disseminating statistical information regarding established problems is assumed by state agencies. In general, statistical claims about crime and other social problems reach the general public via the mass media - most importantly the news media. This paper examines news reporting about crime statistics which appeared in Canadian English language print media during the calendar years 1993 and 1994. A search of a computerized data base and a more detailed search of news items appearing during more intensive periods of statistical claim-making yielded a final sample of 244 news articles from major newspapers and newsmagazines. Two broad questions form the focus of the analysis. The first concerns the means by which statistical claims about crime and victimization enter the news flow. Put simply, to whose statistical claims about crime do journalists pay attention and what are the "news hooks" on which media discussions of rates, statistical trends and percentages are hung? The analysis finds that there are principally three routes by which crime statistics become news. The first and most common is the "data release" in the form of press conferences, the release of a new study or the regular release of data by state agencies. Not all of those who seek to make statistical claims of this type are equally likely to attract the attention of the media, and those agencies and individuals who occupy superordinate positions within a hierarchy of credibility are most likely to prove successful in this regard. Such credibility is most typically conveyed via the official status of the source. A second major form of news hook involves efforts at "debunking" or charges of statistical error. In these cases, "new" statistical findings call into question what earlier statistics encouraged audiences to believe. A third route by which crime and victimization statistics enter the news flow relates to the use of statistics as "background" information with respect to some more substantive theme. The second major question on which the paper is focused involves a consideration of the ways in which statistical news is packaged so as to ensure conformity with dominant news values. The analysis suggests that journalists employ a number of strategies to meet these objectives. Most important, there is considerable journalistic effort to dress stories involving statistics in ways that emphasize humour, drama and public interest. As well, an attempt is routinely made to emphasize the importance of reported statistics and the objective character of the reporting itself. A persistent criticism of media reporting of crime is that there is a clear journalistic preference for bad news. This analysis reveals, however, that journalists might be more interested in easy news than in bad news. The availability of official statistics (which in this sample, at least, often described stable or declining trends) and the reliance on liberal social scientists as a counterpoint to the more conservative voices of policing agencies and victims' organizations implies that the statistical images in the media are often more complex than they are assumed to be.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".