Content Analysis and the Algorithmic Coder: What Computational Social Science Means for Traditional Modes of Media Analysis

Annals of the American Academy of Political and Social Science

Volumn 659, Issue 1, 2015, Pages 307-318

  Zamith, Rodrigo ^a   Lewis, Seth C ^b  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

algorithms; computational content analysis; computational social science; content analysis; digital research methods; hybrid content analysis; media analysis

Indexed keywords

EID: 84927145567     PISSN: 00027162     EISSN: 15523349     Source Type: Journal    
DOI: 10.1177/0002716215570576     Document Type: Article

References (29)

1. Béchet FrédéricSpoken language understanding. Tur G. GokhanDe Mori Renato, ed. West Sussex, UK: John Wiley & Sons, Ltd; 2011:257-90.
2. Berman Jules J.Principles of big data: Preparing, sharing, and analyzing complex information. Waltham, MA: Morgan Kaufman; 2013:
3. boyd danah,Crawford Kate.Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon.Information, Communication & Society. 2012;15 (5): 662-79
4. Bruns Axel.Faster than the speed of print: Reconciling “big data” social media analysis and academic scholarship.First Monday. 2013;18 (10):
5. Colleoni Elanor,Rozza Alessandro,Arvidsson Adam.Echo chamber or public sphere? Predicting political orientation and measuring political homophily in Twitter using big data.Journal of Communication. 2014;64 (2): 317-32
6. Conway Mike.The subjective precision of computers: A methodological comparison with human coding in content analysis.Journalism & Mass Communication Quarterly. 2006;83 (1): 186-200
7. Grimmer Justin.A Bayesian hierarchical topic model for political texts: Measuring expressed agendas in Senate press releases.Political Analysis. 2010;18 (1): 1-35
8. Grimmer Justin,Stewart Brandon M.Text as data: The promise and pitfalls of automatic content analysis methods for political texts.Political Analysis. 2013;21 (3): 267-97
9. Hermida Alfred,Lewis Seth C.,Zamith Rodrigo.Sourcing the Arab Spring: A case study of Andy Carvin’s sources on Twitter during the Tunisian and Egyptian revolutions.Journal of Computer-Mediated Communication. 2014;19 (3): 479-99
10. Herring Susan C.International handbook of internet research. Hunsinger JeremyKlastrup LisbethAllen Matthew, ed. New York, NY: Springer; 2010:233-49.
11. Hopkins Daniel J.,King Gary.A method of automated nonparametric content analysis for social science.American Journal of Political Science. 2010;54 (1): 229-47
12. Karlsson Michael,Strömbäck Jesper.Freezing the flow of online news: Exploring approaches to the study of the liquidity of online news.Journalism Studies. 2010;11 (1): 2-19
13. Karpf David.Social science research methods in Internet time.Information, Communication & Society. 2012;15 (5): 639-61
14. Krippendorff KlausContent analysis: An introduction to its methodology. Thousand Oaks, CA: Sage Publications; 2013:
15. Leetaru Kalev H.Data mining methods for the content analyst: An introduction to the computational analysis of content. New York, NY: Routledge; 2012:
16. Lewis Seth C.,Zamith Rodrigo,Hermida Alfred.Content analysis in an era of big data: A hybrid approach to computational and manual methods.Journal of Broadcasting & Electronic Media. 2013;57 (1): 34-52
17. Lovejoy Jennette,Watson Brendan R.,Lacy Stephen,Riffe Daniel.Assessing the reporting of reliability in published content analyses: 1985–2010.Communication Methods and Measures. 2014;8 (3): 207-21
18. Mahrt Merja,Scharkow Michael.The value of big data in digital media research.Journal of Broadcasting & Electronic Media. 2013;57 (1): 20-33
19. Manovich LevDebates in the digital humanities. Gold Matthew K., ed. Minneapolis, MN: University of Minnesota Press; 2012:460-75.
20. Riffe Daniel,Freitag Alan.A content analysis of content analyses: Twenty-five years of Journalism Quarterly.Journalism & Mass Communication Quarterly. 1997;74 (3): 515-24
21. Riffe Daniel,Lacy Stephen R.,Fico FrederickAnalyzing media messages: Using quantitative content analysis in research. New York, NY: Routledge; 2014:
22. Ruggles Steven.Big microdata for population research.Demography. 2014;51 (1): 287-97
23. Shah Dhavan V.,Cappella Joseph,Neuman W. Russell.Big data, digital media, and computational social science: Possibilities and perils.The ANNALS of the American Academy of Political and Social Science. 2015;:
24. Sjøvaag Helle,Moe Hallvard,Stavelin Eirik.Public service news on the web: A large-scale content analysis of the Norwegian Broadcasting Corporation’s online news.Journalism Studies. 2012;13 (1): 90-106
25. Sjøvaag Helle,Stavelin Eirik.Web media and the quantitative content analysis: Methodological challenges in measuring online news content.Convergence: The International Journal of Research into New Media Technologies. 2012;18 (2): 215-29
26. Stone Philip J.,Bales Robert F.,Namenwirth J. Zvi,Ogilvie Daniel M.The general inquirer: A computer system for content analysis and retrieval based on the sentence as a unit of information.Behavioral Science. 1962;7 (4): 484-98
27. Thelwall Mike,Buckley Kevan,Paltoglou Georgios,Cai Di,Kappas Arvid.Sentiment strength detection in short informal text.Journal of the American Society for Information Science and Technology. 2010;61 (12): 2544-58
28. Vliegenthart Rens,Roggeband Conny.Framing immigration and integration.International Communication Gazette. 2007;69 (3): 295-319
29. Twitter and society. Weller KatrinBruns AxelBurgess JeanMarht MerjaPuschmann Cornelius, ed. New York, NY: Peter Lang; 2014: