Editing Internet Research Methods (Spring 2016) (section)

=== Week 6: Monday May 2: Narrative, Discourse and Visual Analysis ===

'''Facilitator:''' Liang

'''Required Readings:'''

Narrative Analysis:

* Mitra, A. (1999). [http://doi.org/10.1111/j.1083-6101.1999.tb00330.x Characteristics of the WWW Text: Tracing Discursive Strategies]. Journal of Computer-Mediated Communication, 5(1), 0–0.  ''[Free Online]''
* Kaun, Anne (2010), "[http://ejournals.library.ualberta.ca/index.php/IJQM/article/view/7165 Open-Ended Online Diaries: Capturing Life as it is Narrated]," International Journal of Qualitative Methods, Vol. 9 Issue 2, p133-148. ''[Free Online]''

Visual Analysis:

* Hochman, N., & Schwartz, R. (2012). [https://www.aaai.org/ocs/index.php/ICWSM/ICWSM12/paper/view/4782 Visualizing Instagram: Tracing Cultural Visual Rhythms]. In Sixth International AAAI Conference on Weblogs and Social Media. ''[Available through UW Libraries]''
* Hochman, N., & Manovich, L. (2013). [http://firstmonday.org/ojs/index.php/fm/article/viewArticle/4711/ Zooming into an Instagram City: Reading the local through social media]. First Monday, 18(7). ''[Free Online]''

'''Optional Readings:'''

Narrative Analysis:

*  Gubrium, Aline and K.C. Nat Turner, "[https://canvas.uw.edu/files/36418703/download?download_frd=1 Digital storytelling as an emergent method for social research and practice]," Ch. 21 in HET.

Visual Analysis:

* Newbold, Curtis, 2013, "[http://thevisualcommunicationguy.com/2015/01/12/how-to-do-a-visual-analysis-a-five-step-process/ How to Do a Visual Analysis (A 5-Step Process)]". ''[Free Online]''
: Note: Although I'm not a fan of infograpraphics as a genre, I suppose it makes sense that visual communication people would put together a pretty good one! If you're already familiar with visual analysis from the rhetorical tradition, there's not going to be a lot new here. If this is new for you, this will help you frame and understand the other readings.
* Torralba, A. (2009). [http://videolectures.net/nips09_torralba_uvs/ Understanding Visual Scenes]. Tutorial presented at the NIPS, Vancouver, BC, Canada. Part I. ''[Free Online]''
: Note: This is a two part (each part is one hour) lecture and tutorial by a expert in computer vision. I strongly recommend watching Part I. I think this gives you a good sense of the nature of the kinds of challenges that were (and still are) facing the field of computer vision and anybody trying to have their computer look at images.

These five paper are all technical approaches to doing image classification using datasets from Internet-based datasets of images like Flickr, Google Image Search, Google Street View, or Instagram. Each of these describes interesting and challenges technical issues. If you're interested, it would be a great idea to read these to get a sense for the state of the art and what is and isn't possible:

* Jaffe, A., Naaman, M., Tassa, T., & Davis, M. (2006). [http://doi.org/10.1145/1178677.1178692 Generating Summaries and Visualization for Large Collections of Geo-referenced Photographs]. In Proceedings of the 8th ACM International Workshop on Multimedia Information Retrieval (pp. 89–98). New York, NY, USA: ACM. ''[Available through UW Libraries]''
* Simon, I., Snavely, N., & Seitz, S. M. (2007). [http://doi.org/10.1109/ICCV.2007.4408863 Scene Summarization for Online Image Collections]. In Computer Vision, IEEE International Conference on (Vol. 0, pp. 1–8). Los Alamitos, CA, USA: IEEE Computer Society. ''[Free Online]''
* Crandall, D. J., Backstrom, L., Huttenlocher, D., & Kleinberg, J. (2009). [http://doi.org/10.1145/1526709.1526812 Mapping the World’s Photos]. In Proceedings of the 18th International Conference on World Wide Web (pp. 761–770). New York, NY, USA: ACM. ''[Available through UW Libraries]''
* San Pedro, J., & Siersdorfer, S. (2009). [http://doi.org/10.1145/1526709.1526813 Ranking and Classifying Attractiveness of Photos in Folksonomies]. In Proceedings of the 18th International Conference on World Wide Web (pp. 771–780). New York, NY, USA: ACM. ''[Available through UW Libraries]''
* Doersch, C., Singh, S., Gupta, A., Sivic, J., & Efros, A. A. (2012). [http://doi.org/10.1145/2185520.2185597 What Makes Paris Look Like Paris?] ACM Trans. Graph., 31(4), 101:1–101:9. ''[Available through UW Libraries]''

Discourse Analysis:

* Honeycutt, Courtenay (2005), “[http://onlinelibrary.wiley.com/enhanced/doi/10.1111/j.1083-6101.2005.tb00240.x Hazing as a process of boundary maintenance in an online community]”, Journal of Computer-Mediated Communication, 10(2). [Available through UW Libraries]
:Note: Combines quantitative and qualitative computer-mediated discourse analysis methods.*