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Articles

Exploring Machine Learning to Study the Long-Term Transformation of News

Digital newspaper archives, journalism history, and algorithmic transparency

ORCID Icon & ORCID Icon
Pages 1150-1164 | Received 14 Mar 2018, Accepted 15 Aug 2018, Published online: 11 Oct 2018

References

  • Allen, Robert B., Ilya Waldstein, and Weizhong Zhu. 2008. “Automated Processing of Digitized Historical Newspapers: Identification of Segments and Genres.” In Digital Libraries: Universal and Ubiquitous Access to Information, edited by George Buchanan, Masood Masoodian, and Sally Jo Cunningham, 379–386. New York: Springer.
  • Apté, Chidanand, Fred Damerau, and Sholom M. Weiss. 1994. “Automated Learning of Decision Rules for Text Categorization.” ACM Transactions on Information Systems 12 (3): 233–251.
  • Barnhurst, Kevin. 2016. Mr. Pulitzer and the Spider: Modern News from Realism to the Digital. Urbana: University of Illinois.
  • Barnhurst, Kevin, and John Nerone. 2001. The Form of News. A History. New York: Guildford Press.
  • Benson, Rodney. 2005. “Mapping Field Variation: Journalism in France and the United States.” In Bourdieu and the Journalistic Field, edited by Rodney Benson and Eric Neveu, 85–112. Cambridge: Polity Press.
  • Bilgin, Aysenur, et al. 2018. “Utilizing a Transparency-driven Environment toward Trusted Automatic Genre Classification: A Case Study in Journalism History.” Paper Submitted to the 14th IEEE eScience Conference, Amsterdam. [Under review]
  • Bingham, Adrian. 2010. “The Digitization of Newspaper Archives: Opportunities and Challenges for Historians.” Twentieth Century British History 21 (2): 225–231.
  • Boumans, Jelle W., and Damian Trilling. 2016. “Taking Stock of the Toolkit.” Digital Journalism 4 (1): 8–23.
  • Boyd, Danah, and Kate Crawford. 2012. “Critical questions for Big Data. Provocations for a Cultural, Technological, and Scholarly Phenomenon.” Information, Communication & Society 15 (5): 662–679.
  • Broersma, Marcel. 2007. “Form, Style and Journalistic Strategies.” In Form and Style in Journalism. European Newspapers and the Representation of News. 1880-2005, edited by Marcel Broersma, ix–xxix. Leuven: Peeters.
  • Broersma, Marcel. 2008. “The Discursive Strategy of a Subversive Genre.” In Vision in Text and Image: The Cultural Turn in the Study of Arts, edited by Mary Kemperink and Herman Hoen, 143–158. Leuven: Peeters.
  • Broersma, Marcel. 2010a. “De Transformatie van het Journalistieke Veld: Discursieve Strategieën en Journalistiek Vormen.” Tijdschrift voor Communicatiewetenschap 38 (3): 267–275.
  • Broersma, Marcel. 2010b. “Journalism as a Performative Discourse. The Importance of Form and Style in Journalism.” In Journalism and Meaning-Making: Reading the Newspaper, edited by Verica Rupar, 15–35. Cresskill: Hampton Press.
  • Broersma, Marcel. 2011a. “Nooit Meer Bladeren. Digitale Krantenarchieven als Bron.” Tijdschrift voor Mediageschiedenis 14 (2): 29–55.
  • Broersma, Marcel. 2011b. “From Press History to the History of Journalism. National and transnational features of Dutch scholarship.” Medien & Zeit 26 (3): 17–28.
  • Broersma, Marcel. 2018. “Americanization, or: The Rhetoric of Modernity. How European Journalism Adapted US Norms, Practices and Conventions.” In The Handbook of European Communication History, edited by Klaus Arnold, Paschal Preston, and Susanne Kinnebrock. Chichester and Malden: Wiley.
  • Burscher, Björn, Daan Odijk, Rens Vliegenthart, Maarten de Rijke, and Claes H. de Vreese. 2014. “Teaching the Computer to Code Frames in News: Comparing Two Supervised Machine Learning Approaches to Frame Analysis.” Communication Methods and Measures 8 (3): 190–206.
  • Burscher, Björn. 2016. “Machine Learning-Based Content Analysis: Automating the Analysis of Frames and Agendas in Political Communication Research.” PhD diss., University of Amsterdam.
  • Burscher, Björn, Rens Vliegenthart, and Claes H. de Vreese. 2015. “Using Supervised Machine Learning to Code Policy Issues: Can Classifiers Generalize across Contexts?” Annals AAPS 659: 122–131.
  • Curran, James. 2009. “Narratives of Media History Revisited.” In Narrating Media History, edited by Michael Bailey, 1–21. London: Routledge.
  • Dahlgren, Peter. 1992. “Introduction.” In Journalism and Popular Culture, edited by Peter Dahlgren and Colin Sparks, 1–23. London: Sage Publications.
  • Deacon, David. 2007. “Yesterday’s Papers and Today’s Technology. Digital Newspaper Archives and “Push Button” Content Analysis.” European Journal of Communication 22 (1): 5–25.
  • Fink, Katherine, and Michael Schudson. 2014. The Rise of Contextual Journalism, 1950s–2000s.” Journalism 15 (1): 3–20.
  • Flaounas, Ilias, et al. 2014. “Research Methods in the Age of Digital Journalism.” Digital Journalism 1 (1): 102–116.
  • Grimmer, Justin, and Brandon M. Stewart. 2013. “Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts.” Political Analysis 21 (3): 267–297.
  • Grosan, Crina, and Ajith Abraham. 2011. Intelligent Systems. Berlin: Springer.
  • Günther, Elisabeth, and Thorsten Quandt. 2016. “Word Counts and Topic Models.” Digital Journalism 4 (1): 75–88.
  • Handford, Michael. 2010. “What Can a Corpus Tell Us About Specialist Genres.” In The Routledge Handbook for Corpus Linguistics, edited by Anne O’ Keeffe and Michael McCarthy, 255–269. New York: Routledge.
  • Harbers, Frank. 2014. “Between Personal Experience and Detached Information. The Development of Reporting and the Reportage in Great Britain, the Netherlands and France, 1880-2005.” PhD diss., University of Groningen.
  • Hartsock, John. 2000. A History of American Literary Journalism. The Emergence of a Modern Narrative Form. Amherst: University of Massachusetts Press.
  • Jacobi, Carina, van Atteveldt Wouter, and Kasper Welbers. 2016. “Quantitative Analysis of Large Amounts of Journalistic Texts Using Topic Modelling.” Digital Journalism 4 (1): 89–106.
  • Lee, Yong-Bae, and Sung H. Myaeng. 2002. “Text Genre Classification with Genre-Revealing and Subject-Revealing Features.” SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and Development in Information Retrieval. New York: ACM. 145–150.
  • Lewis, Seth C., Rodrigo Zamith, and Alfred Hermida. 2013. “Content Analysis in an Era of Big Data: A Hybrid Approach to Computational and Manual Methods.” Journal of Broadcasting & Electronic Media 57 (1): 34–52.
  • Manovich, Lev. 2012. “Trending: The Promises and the Challenges of Big Social Data.” In Debates in the Digital Humanities, edited by Matthew K. Gold, 460–475. Minneapolis, MN: University of Minnesota Press.
  • Manovich, Lev. 2015. “Data Science and Digital Art History.” International Journal for Digital Art History 26 (1): 11–35.
  • Mussell, James. 2008. “Ownership, Institutions, and Methodology.” Journal of Victorian Culture 13 (1): 94–100.
  • Nerone, John. 2010. “Genres of Journalism History.” The Communication Review 13 (1): 15–26.
  • Neuendorf, Kimberley A. 2002. The Content Analysis Guidebook. Thousand Oaks: Sage.
  • Nicholson, Bob. 2013. “The Digital Turn.” Media History 19 (1): 59–73.
  • Riffe, Daniel, Stephen Lacy, and Frederick Fico. 2005. Analyzing Media Messages. Using Quantitative Content Analysis in Research. Mahwah: Lawrence Erlbaum Associates.
  • Simon, A. F. 2001. “A Unified Method for Analyzing Media Framing.” In Communications in U.S. elections: New agendas, edited by R. P. Hart and D. R. Shaw, 75–89. Lanham, MD: Rowman and Littlefield.
  • Vella, Stephen. 2009. “Newspapers.” In Reading Primary Sources. The Interpretation of Texts from Nineteenth- and Twentieth-Century History, edited by Miriam Dobson and Benjamin Ziemann, 192–208. London and New York: Routledge.
  • Wijfjes, Huub. 2017. “Digital Humanities and Media History. A Challenge for Historical Newspaper Research.” Tijdschrift voor Mediageschiedenis 20 (1): 4–24.
  • Yang, Tze-I., Andrew J. Torget, and Rada Mihalcea. 2011. “Topic Modeling on Historical Newspapers.” In Proceedings of the 5th ACL-HLT Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, 96–104.
  • Zheng, Zhaohui, Xiaoyun Wu, and Rohini Srihari. 2004. “Feature Selection for Text Categorization on Imbalanced Data.” ACM Sigkdd Explorations Newsletter 6 (1): 80–89.