The Selection Process in Local Court Reporting
A case study of four Dresden daily newspapers
Bibliographic Data
| ID | 12909197 |
|---|---|
| Authors | Marcel Machill (corresponding author), Markus Beiler (0000-0002-3954-8722), Iris Hellmann |
| Year | 2007 |
| Volume | 1 |
| Issue | 1 |
| Pages | 62-81 |
| Publication date | 2007-02-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journalism Practice (JOURNAL) |
| Journal identifiers | ISSN: 1751-2786 • E-ISSN: 1751-2794 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/17512780601078878 |
| OpenAlex | W1571894304 |
| Language | EN |
| Citations received | 3 |
| References cited | 4 |
Court reporting is a regular feature of German daily newspapers and is widely read by a third of German newspaper readers. However, only a modest number of the daily trials find their way into the press. The aim of the present study is to identify the process and criteria for selecting local court cases for press coverage. The study is based on four Dresden daily newspapers whose reporting is examined initially by means of content analysis. The results signal a focus on criminal, rather than civil, law matters as well as trials conducted in the place of publication. A second element of the research involved observation of the selection of criminal law matters at Dresden county court by reporters of the four newspapers. It was possible to identify a multi-step selection process as a result of which only a fraction of the trials were reported. Thirdly, selection factors were identified using guided interviews with court reporters and their editors. Significant factors steering selection included the seriousness of the deed, the editorial requirement for diversity of reporting, the degree to which the readers are directly affected by the event, the prominence of the participants as well as the possibility for simple presentation and illustration
Content analysis · German · Newspaper · Political science · Process (computing · Selection (genetic algorithm · Social science · Sociology · Computer Science · Gender Studies in Language · History · Law · Linguistic research and analysis · Media Studies and Communication
| Citations per year | 0.43 |
|---|---|
| Citation span | 2019 - 2021 (3) |
| Highly cited | No |