Bibliographic record
Abstract
The variable “distance” reflects the competitive relationships that exist between media organizations and outlets in terms of journalistic, economic and media policy interests, which can lead to reporting differences in media self-coverage (Pointner, 2010). This is due to the special situation that in the case of media self-coverage, both the reporting unit and the covered subject originate from the media sector. Several studies have shown that media organizations strategically use self-coverage to pursue their own interests, to legitimize their actions or to differentiate themselves from their competitors (Beck, 2001; Gilens & Hertzman, 2000; Hackett & Uzelman, 2003; Kemner, Scherer, & Weinacht, 2008; Lichtenstein, 2011; Löblich, 2011; Maier & Dogruel, 2016; Müller & Donsbach, 2006; Pointner, 2010; Snider & Page, 1997; Uzelman, Hackett, & Stewart, 2005; Weiß, 1986).
 
 Field of application/Theoretical foundation
 The variable serves as an indicator of potential conflicts of roles, interests and objectives at organizational level, which can lead to unbalanced or biased reporting.
 
 Example study
 Pointner (2010)
 
 Information on Pointner, 2010
 Research interest: The study examines whether and how economic interests of media companies are reflected in the reporting on media companies.
 Object of analysis: A sample (one artificial day per month, all articles covering media companies) was drawn from four national German daily newspapers.
 Time frame of analysis: January 1, 1992 to December 31, 2006
 
 Information about variable
 Level of analysis: article
 Coding logic: The relationship between the reporting unit and the covered subject is recorded on two levels. First, a distinction is made with regard to the media sector, i.e. whether the reporting concerns a subject originating from the same sector (intramedial, e.g. print observes print) or from a different sector (intermedial, e.g. print observes broadcasting). Within the intramedial level, a further distinction is made with regard to the organizational affiliation: Codes indicate whether the reporting relates to the own company (direct self-observation), affiliated companies of the own company (indirect self-observation), one or more direct competitors operating within the same media sector in the same media submarket (direct competitor observation), affiliated companies of competitors (indirect competitor observation) or media companies of other genres within the own media sector (general observation) (Pointner, 2010).
 For the implementation, it is recommended to first code the outlet in which a contribution appears, as well as separately code the outlet and the media sector that is the main subject of the coverage. Based on this, the assignment can be made with the help of an affiliation list of the outlets and affiliated companies of the publishing houses, media companies or media sectors investigated. However, it should be mentioned that in connection with the horizontal diversification of media companies into other media sectors and increasing convergence, the differentiation into intramedial and intermedial as well as direct and indirect is becoming increasingly difficult.
 
 Values:
 intramedial direct self-observation
 intramedial indirect self-observation
 intramedial direct competitor observation
 intramedial indirect competitor observation
 intramedial general observation
 intermedial
 
 Intercoder reliability: Holsti’s coefficient of .94 across categories (6 coders), not specified for individual category
 Codebook not available
 
 References
 Beck, K. (2001). Medienberichterstattung über Medienkonzentration. Publizistik, 46(4), 403-424. doi: 10.1007/s11616-001-0121-3
 Gilens, M., & Hertzman, C. (2000). Corporate Ownership and News Bias: Newspaper Coverage of the 1996 Telecommunications Act. The Journal of Politics, 62(2), 369-386. doi: 10.1111/0022-3816.00017
 Hackett, R. A., & Uzelman, S. (2003). Tracing Corporate Influences on Press Content: a summary of recent NewsWatch Canada Research. Journalism Studies, 4(3), 331-346. doi: 10.1080/14616700306486
 Kemner, B., Scherer, H., & Weinacht, S. (2008). Unter der Tarnkappe. Publizistik, 53(1), 65-84. doi: 10.1007/s11616-008-0006-9
 Lichtenstein, D. (2011). Kommerzialisierung des Medienjournalismus? Eine empirische Untersuchung zum „Fall Berliner Zeitung“. M&K Medien & Kommunikationswissenschaft, 59(2), 216-234. doi: 10.5771/1615-634x-2011-2-216
 Löblich, M. (2011). Frames in der medienpolitischen Öffentlichkeit. Publizistik, 56(4), 423-439. doi: 10.1007/s11616-011-0129-2
 Maier, D., & Dogruel, L. (2016). Akteursbeziehungen in der Zeitungsberichterstattung über die Online-Aktivitäten des öffentlich-rechtlichen Rundfunks. Publizistik, 61(2), 145-166. doi: 10.1007/s11616-016-0258-8
 Müller, D., & Donsbach, W. (2006). Unabhängigkeit von wirtschaftlichen Interessen als Qualitätsindikator im Journalismus. In S. Weischenberg, W. Loosen, & M. Beuthner (Eds.), Medien-Qualitäten: Öffentliche Kommunikation zwischen ökonomischem Kalkül und Sozialverantwortung (pp. 129-147). Konstanz: UVK.
 Pointner, N. (2010). In den Fängen der Ökonomie? Ein kritischer Blick auf die Berichterstattung über Medienunternehmen in der deutschen Tagespresse. Wiesbaden: VS Verlag für Sozialwissenschaften.
 Snider, J. H., & Page, B. I. (1997). Does Media Ownership Affect Media Stands? The Case of the Telecommunications Act of 1996. Institute for Policy Resarch at Northwestern University (IPR working papers 97-12).
 Uzelman, S., Hackett, R. A., & Stewart, J. (2005). Covering Democracy's Forum: Canadian Press Treatment of Public and Private Broadcasting. Critical Studies in Media Communication, 22(2), 156-169. doi: 10.1080/07393180500072053
 Weiß, H.-J. (1986). Rundfunkinteressen und Pressejournalismus. Abschließende Analysen und Anmerkungen zu zwei inhaltsanalytischen Zeitungsstudien. Media Perspektiven, 2(86), 53-73.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| 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) | 0.001 | 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".