Editing Designing Internet Research (Spring 2022) (section)

=== Monday April 18: Content analysis ===

<!-- split this into a pure content analysis something that is more interpretive maybe with LDA? -->

'''Required Readings:'''

* McMillan, Sally J. 2000. “The Microscope and the Moving Target: The Challenge of Applying Content Analysis to the World Wide Web.” Journalism & Mass Communication Quarterly 77 (1): 80–98. https://doi.org/10.1177/107769900007700107. {{avail-uw|https://doi.org/10.1177/107769900007700107}}
* Zamith, Rodrigo, and Seth C. Lewis. 2015. “Content Analysis and the Algorithmic Coder: What Computational Social Science Means for Traditional Modes of Media Analysis.” The Annals of the American Academy of Political and Social Science 659 (1): 307–18. https://doi.org/10.1177/0002716215570576. {{avail-uw|https://doi.org/10.1177/0002716215570576}}
* Grimmer, Justin, and Brandon M. Stewart. 2013. “Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts.” Political Analysis, January, mps028. https://doi.org/10.1093/pan/mps028. {{avail-uw|https://doi.org/10.1093/pan/mps028}}
* DiMaggio, Paul, Manish Nag, and David Blei. 2013. “Exploiting Affinities between Topic Modeling and the Sociological Perspective on Culture: Application to Newspaper Coverage of U.S. Government Arts Funding.” Poetics, Topic Models and the Cultural Sciences, 41 (6): 570–606. https://doi.org/10.1016/j.poetic.2013.08.004. {{avail-uw|https://doi.org/10.1016/j.poetic.2013.08.004}}

'''Optional Readings:'''

* Trilling, Damian, and Jeroen G. F. Jonkman. 2018. “Scaling up Content Analysis.” Communication Methods and Measures 12 (2–3): 158–74. https://doi.org/10.1080/19312458.2018.1447655. {{avail-uw|https://doi.org/10.1080/19312458.2018.1447655}}
*  Leetaru, Kalev Hannes. 2011. Data Mining Methods for the Content Analyst: An Introduction to the Computational Analysis of Content. Routledge Communication Series. New York, NY: Taylor and Francis. ''[[https://ebookcentral.proquest.com/lib/washington/detail.action?docID=1075229 Available through UW libraries]]''.

I'm assuming you have at least a rough familiarity with content analysis as a methodology. If your not as comfortable with this, check out [https://en.wikipedia.org/wiki/Content_analysis content analysis|the content analysis Wikipedia article] to start. These help provide more of a background into content analysis (in general, and online):

* Neuendorf, K. A. (2002). The content analysis guidebook. Thousand Oaks, Calif.: Sage Publications. ''[Available from Instructor]''
* Krippendorff, K. (2005). Content analysis: an introduction to its methodology. Thousand Oaks; London; New Delhi: Sage. ''[Available from Instructor]''

Examples of more traditional content analysis using online content:

* Trammell, K. D., Tarkowski, A., Hofmokl, J., & Sapp, A. M. (2006). [http://doi.org/10.1111/j.1083-6101.2006.00032.x Rzeczpospolita blogów (Republic of Blog): Examining Polish Bloggers Through Content Analysis.] Journal of Computer-Mediated Communication, 11(3), 702–722. {{avail-free|http://doi.org/10.1111/j.1083-6101.2006.00032.x}}
* Woolley, J. K., Limperos, A. M., & Oliver, M. B. (2010). [http://doi.org/10.1080/15205436.2010.516864 The 2008 Presidential Election, 2.0: A Content Analysis of User-Generated Political Facebook Groups.] Mass Communication and Society, 13(5), 631–652. {{avail-uw|http://doi.org/10.1080/15205436.2010.516864}}
* Maier, Daniel, A. Waldherr, P. Miltner, G. Wiedemann, A. Niekler, A. Keinert, B. Pfetsch, et al. 2018. “Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology.” Communication Methods and Measures 12 (2–3): 93–118. https://doi.org/10.1080/19312458.2018.1430754. {{avail-uw|https://doi.org/10.1080/19312458.2018.1430754}}

A few other things related to topic modeling and sentiment analysis:

* Barberá, P., Bonneau, R., Egan, P., Jost, J. T., Nagler, J., & Tucker, J. (2014). [http://smapp.nyu.edu/SMAPP_Website_Papers_Articles/leadersAndFollowersMeasuringPolitical.pdf Leaders or Followers? Measuring Political Responsiveness in the US Congress Using Social Media Data.] Presented at the Annual Meeting of the American Political Science Association. {{avail-free|http://smapp.nyu.edu/SMAPP_Website_Papers_Articles/leadersAndFollowersMeasuringPolitical.pdf}}
* Feldman, Ronen. 2013. “Techniques and Applications for Sentiment Analysis.” Communications of the ACM 56 (4): 82–90. https://doi.org/10.1145/2436256.2436274. {{avail-uw|https://doi.org/10.1145/2436256.2436274}}
* Baumer, Eric P. S., David Mimno, Shion Guha, Emily Quan, and Geri K. Gay. 2017. “Comparing Grounded Theory and Topic Modeling: Extreme Divergence or Unlikely Convergence?” Journal of the Association for Information Science and Technology 68 (6): 1397–1410. https://doi.org/10.1002/asi.23786. {{avail-uw|https://doi.org/10.1002/asi.23786}}
* Rudkowsky, Elena, Martin Haselmayer, Matthias Wastian, Marcelo Jenny, Štefan Emrich, and Michael Sedlmair. 2018. “More than Bags of Words: Sentiment Analysis with Word Embeddings.” ''Communication Methods and Measures'' 12 (2–3): 140–57. https://doi.org/10.1080/19312458.2018.1455817. {{avail-uw|https://doi.org/10.1080/19312458.2018.1455817}}