Abstract
Traditional media and blogs compete for the attention of the general audience and readership—thus addressing the expectations of end-consumers. This competition and the underlying convergence of content and technology imply new strategic challenges for media businesses. One obvious route would be to diverse content and target a selected audience. But did traditional took this route? To address this question we used a newly developed classification and clustering technique for the online presences of media and blogs. We applied the technique to empirical data gathered for the online presences of German-speaking media and to their respective RSS feeds. Blogs were chosen as new strategic challengers—in particular when it comes to redundancy with respect to content. We put the findings into the context of the current debate about blogs vs. traditional journalism and the respective intellectual property rights, as well as the implication for the above mentioned strategic challenges.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Triangle inequality: a generic concept in mathematics to account for consistency of any “distance measure”.
- 2.
We could not get data from news-agencies via RSS to investigate whether the finding is caused by a direct routing of news agency data by newspapers—a hypothesis that, however, seems to be a reasonable one.
References
Bachmayer, S., Lugmayr, A., & Kotsis, G. (2010). Convergence of collaborative web approaches and interactive tv program formats. International Journal of Web Information Systems, 6, 74–94. doi:10.1108/17440081011034493.
Beckedahl, M. (2010). Verleger: Leistungsschutzrecht soll sprache monopolisieren. http://www.netzpolitik.org/2010/verleger-leistungsschutzrecht-soll-sprache-monopolisieren
Behrendt, J., & Zeppenfeld, K. (2008). Web 2.0 (Informatik im Fokus). Auflage: Springer.
Bird, S. (2002). Nltk: The natural language toolkit (pp. 62–69). Proceedings of the ACL Workshop on Effective Tools and Methodologies for Teaching Natural Language Processing and Computational Linguistics, Association for Computational Linguistics, Philadelphia.
Blahut, R. E. (1987). Principles and practice of information theory. Reading, MA: Addison-Wesley. ISBN 0201107090.
Boba, P., Weil, P., Hoffgaard, F., & Hamacher, K. (2011). Intra- and inter-molecular co-evolution: the case of HIV1 protease and reverse transcriptase. In A. Fred, J. Filipe, & H. Gamboa (Eds.), Proceeding of BIOINFORMATICS2010 (Vol. 127, pp. 356–366). Springer Communications in Computer and Information Science.
Cover, T. M., & Thomas, J. A. (2006). Elements of information theory (2nd ed.). Hoboken, NJ: Wiley.
Endres, D., & Schindelin, J. (2003). A new metric for probability distributions. IEEE Trans Info Theo, 49, 1858–1860.
Felsenstein, J. (1989). PHYLIP – phylogeny inference package (version 3.2). Cladistics, 5, 164–166.
Hamacher, K. (2005). On stochastic global optimization of one-dimensional functions. Physica A, 354, 547–557.
Hamacher, K. (2006). Adaptation in stochastic tunneling global optimization of complex potential energy landscapes. Europhys Lett, 74(6), 944–950.
Hamacher, K. (2007a). Adaptive extremal optimization by detrended fluctuation analysis. J Comp Phys, 227(2), 1500–1509.
Hamacher, K. (2007b). Energy landscape paving as a perfect optimization approach under detrended fluctuation analysis. Physica A, 378(2), 307–314.
Hamacher, K. (2007c). Information theoretical measures to analyze trajectories in rational molecular design. J Comp Chem, 28(16), 2576–2580.
Hamacher, K. (2010). Protein domain phylogenies—Information theory and evolutionary dynamics. In: A. Fred, J. Filipe, & H. Gamboa (Eds.), Proceeding of BIOINFORMATICS 2010 (pp. 114–122). ISBN 978-989-674-019-1.
Harris, Z. (1954). Distributional structure. Word, 10, 146–162.
Lehtisaari, K., Karppinen, K., Harjuniemi, T., Grnlund, M., Linden, C. G., Nieminen, H., et al. (2012). Media convergence and business models: responses of finnish daily newspapers. ISBN 978-952-10-8277-1.
Lugmayr, A., Franssila, H., Safran, C., & Hammouda, I. (Eds.) (2011). Proceedings of the 15th international academic MindTrek conference: Envisioning future media environments. Tampere, Finland: MindTrek Ry.
Manning, C., & Schütze, H. (1999). Foundations of statistical natural language processing. Cambridge, MA: MIT Press.
Murtagh, F. (1985). Multidimensional clustering algorithms. In COMPSTAT Lectures 4. Würzburg: Physica-Verlag.
Pape, S., Hoffgaard, F., & Hamacher, K. (2010). Distance-dependent classification of amino acids by information theory. Proteins: Structure, Function, and Bioinformatics, 78(10), 2322–2328.
Picard, R. G., Dal Zotto, C., & Werfel, M. (2006). Business models of newspaper publishing companies. 1, Ifra Report.
Porter, M. (1980). An algorithm for suffix stripping. Program, 14, 130–137.
Porter, M. (2006). Stemming algorithms for various European languages. http://www.snowball.tartarus.org/texts/stemmersoverview.html
R Development Core Team. (2008). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. ISBN 3-900051-07-0, http://www.R-project.org
Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27(3), 379–423.
van Tuyll, D. (2010). The past is prologue, or. Journalism Studies, 11(4), 477–486. doi:10.1080/14616701003638343.
Zotto, C. D., Galichet, G., & Lugmayr, A. (2011). Managing media convergence: An economic and editorial project. In European Media Management Conference 2011. Moscow: European Media Management Association (EMMA).
Acknowledgments
The author would like to thank Franziska Hoffgaard and Philipp Weil for helpful comments and discussions. KH was supported by the Fonds der chemischen Industrie through a grant for junior faculty during this study.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Hamacher, K. (2016). Online Presences of Traditional Media vs. Blogs: Redundancy and Unique News Coverage. In: Lugmayr, A., Dal Zotto, C. (eds) Media Convergence Handbook - Vol. 1. Media Business and Innovation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54484-2_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-54484-2_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54483-5
Online ISBN: 978-3-642-54484-2
eBook Packages: Business and ManagementBusiness and Management (R0)