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Designing Internet Research (Winter 2020)
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== Schedule == === Week 1: Tuesday January 7: (I) Introduction and (II) Ethics === <!-- '''Resources:''' * {{tbd}} [https://canvas.uw.edu/files/35861026/download?download_frd=1 Week 1 Reading Note] — Read this first! * [https://canvas.uw.edu/files/35861026/download?download_frd=1 Week 1 Reading Note] — Read this first! --> ==== Part I: Introduction and Framing ==== <!-- make the sandvig chapter required next time --> '''Required Readings:''' * Agre, Phil. 2004. “Internet Research: For and Against.” In ''Internet Research Annual: Selected Papers from the Association of Internet Researchers Conferences 2000-2002'', edited by Mia Consalvo, Nancy Baym, Jeremy Hunsinger, Klaus Bruhn Jensen, John Logie, Monica Muerero, and Leslie Regan Shade. Vol. 1. New York: Peter Lang. http://polaris.gseis.ucla.edu/pagre/research.html. ''[[http://polaris.gseis.ucla.edu/pagre/research.html Available free online]]'' * Lazer, David, Alex Pentland, Lada Adamic, Sinan Aral, Albert-Laszlo Barabasi, Devon Brewer, Nicholas Christakis, et al. 2009. “Computational Social Science.” ''Science'' 323 (5915): 721–23. https://doi.org/10.1126/science.1167742. ''[[https://doi.org/10.1126/science.1167742 Available through UW libraries]]'' '''Optional Reading:''' * December, John. 1996. “Units of Analysis for Internet Communication.” Journal of Computer-Mediated Communication 1 (4): 0–0. https://doi.org/10.1111/j.1083-6101.1996.tb00173.x. ''[[https://doi.org/10.1111/j.1083-6101.1996.tb00173.x Available free online]]'' * Sandvig, Christian, and Eszter Hargittai. 2015. “How to Think about Digital Research.” In Digital Research Confidential: The Secrets of Studying Behavior Online, edited by Eszter Hargittai and Christian Sandvig, 1–28. Cambridge, MA: MIT Press. ''[[https://canvas.uw.edu/files/61061816/download?download_frd=1 Available in Canvas]]'' ==== Part II: Ethics ==== '''Required Readings:''' * franzke, aline shakti, Anja Bechmann, Michael Zimmer, and Charles M. Ess. 2020. “Internet Research: Ethical Guidelines 3.0.” Association of Internet Researchers. https://aoir.org/reports/ethics3.pdf. ''[[https://aoir.org/reports/ethics3.pdf Available free online]]'' To frame a conversation around research ethics, lets read this piece: * Kramer, Adam D. I., Jamie E. Guillory, and Jeffrey T. Hancock. 2014. “Experimental Evidence of Massive-Scale Emotional Contagion through Social Networks.” Proceedings of the National Academy of Sciences 111 (24): 8788–90. https://doi.org/10.1073/pnas.1320040111. ''[[https://doi.org/10.1073/pnas.1320040111 Available through UW libraries]]'' And these pieces that are all vaguely in response to it: * Carr, Nicholas. 2014. “The Manipulators: Facebook’s Social Engineering Project.” The Los Angeles Review of Books, September 14, 2014. http://lareviewofbooks.org/essay/manipulators-facebooks-social-engineering-project/. ''[Available free online]'' * [Skim page to get a sense of the backlash] Grimmelmann, James. 2014. “The Facebook Emotional Manipulation Study: Sources.” The Laboratorium (blog). June 30, 2014. http://laboratorium.net/archive/2014/06/30/the_facebook_emotional_manipulation_study_source. ''[[http://laboratorium.net/archive/2014/06/30/the_facebook_emotional_manipulation_study_source Available free online]]'' * Bernstein, Michael. 2014. “The Destructive Silence of Social Computing Researchers.” Medium (blog). July 7, 2014. https://medium.com/@msbernst/the-destructive-silence-of-social-computing-researchers-9155cdff659. ''[[https://medium.com/@msbernst/the-destructive-silence-of-social-computing-researchers-9155cdff659 Available free online]]'' * Lampe, Clifford. 2014. “Facebook Is Good for Science.” The Chronicle of Higher Education Blogs: The Conversation (blog). July 8, 2014. http://chronicle.com/blogs/conversation/2014/07/08/facebook-is-good-for-science/. ''[[http://chronicle.com/blogs/conversation/2014/07/08/facebook-is-good-for-science/ Available free online]]'' * Hancock, Jeffrey T. 2018. “The Ethics of Digital Research.” The Oxford Handbook of Networked Communication, April. https://doi.org/10.1093/oxfordhb/9780190460518.013.25. ''[[https://doi.org/10.1093/oxfordhb/9780190460518.013.25 Available through UW libraries]]'' '''Optional Readings:''' * Department of Health, Education, and Welfare, and National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research. 2014. “The Belmont Report. Ethical Principles and Guidelines for the Protection of Human Subjects of Research.” http://www.hhs.gov/ohrp/policy/belmont.html. ''[[http://www.hhs.gov/ohrp/policy/belmont.html Available free online]]'' * Frankel, Mark S., and Sanyin Siang. 1999. “Ethical and Legal Aspects of Human Subject Research on the Internet.” Workshop Report. Washington, DC: American Association for the Advancement of Science. ''[[https://www.researchgate.net/profile/Sanyin_Siang/publication/268296040_Ethical_and_Legal_Aspects_of_Human_Subjects_Research_on_the_Internet/links/5632302008ae0530378fd404/Ethical-and-Legal-Aspects-of-Human-Subjects-Research-on-the-Internet.pdf Available free online]]'' === Week 2: Tuesday January 14: (I) Internet Data Collection (II) Textual Analysis === ==== Part I: Internet Data Collection ==== '''Required Readings:''' * Mislove, Alan, and Christo Wilson. 2018. “A Practitioner’s Guide to Ethical Web Data Collection.” In The Oxford Handbook of Networked Communication, edited by Brooke Foucault Welles and Sandra González-Bailón. London, UK: Oxford University Press. https://doi.org/10.1093/oxfordhb/9780190460518.001.0001. ''[[https://doi.org/10.1093/oxfordhb/9780190460518.001.0001 Available through UW libraries]]'' * Brügger, Niels. 2018. “Web History and Social Media.” In The SAGE Handbook of Social Media, edited by Jean Burgess, Alice Marwick, and Thomas Poell, 196–212. London, UK: SAGE Publications Ltd. https://doi.org/10.4135/9781473984066. ''[[https://doi.org/10.4135/9781473984066 Available through UW Libraries]]'' * Shumate, Michelle, and Matthew S. Weber. 2015. “The Art of Web Crawling for Social Science Research.” In Digital Research Confidential: The Secrets of Studying Behavior Online, edited by Eszter Hargittai and Christian Sandvig, 234–59. Cambridge, MA: The MIT Press. ''[[https://canvas.uw.edu/files/61060105/download?download_frd=1 Available in Canvas]]'' * Freelon, Deen. 2018. “Computational Research in the Post-API Age.” Political Communication 35 (4): 665–68. https://doi.org/10.1080/10584609.2018.1477506. ''[[https://doi.org/10.1080/10584609.2018.1477506 Available through UW Libraries]]'' * '''[Example]''' Graeff, Erhardt, Matt Stempeck, and Ethan Zuckerman. 2014. “The Battle for ‘Trayvon Martin’: Mapping a Media Controversy Online and Off-Line.” First Monday 19 (2). http://firstmonday.org/ojs/index.php/fm/article/view/4947. ''[[http://firstmonday.org/ojs/index.php/fm/article/view/4947 Available free online]]'' '''Optional Readings:''' * Ankerson, Megan Sapnar. 2015. “Read/Write the Digital Archive: Strategies for Historical Web Research.” In Digital Research Confidential: The Secrets of Studying Behavior Online, edited by Eszter Hargittai and Christian Sandvig, 29–54. Cambridge, MA: MIT Press. ''[[https://canvas.uw.edu/files/61061872/download?download_frd=1 Available in Canvas]]'' * Spaniol, Marc, Dimitar Denev, Arturas Mazeika, Gerhard Weikum, and Pierre Senellart. 2009. “Data Quality in Web Archiving.” In Proceedings of the 3rd Workshop on Information Credibility on the Web, 19–26. WICOW ’09. New York, NY, USA: ACM. https://doi.org/10.1145/1526993.1526999. ''[[https://doi.org/10.1145/1526993.1526999 Available through UW Libraries]]'' * Schneider, Steven M., and Kirsten A. Foot. 2004. “The Web as an Object of Study.” New Media & Society 6 (1): 114–22. https://doi.org/10.1177/1461444804039912. ''[[https://doi.org/10.1177/1461444804039912 Available through UW Libraries]]'' * Weber, Matthew S. 2014. “Observing the Web by Understanding the Past: Archival Internet Research.” In Proceedings of the Companion Publication of the 23rd International Conference on World Wide Web Companion, 1031–1036. WWW Companion ’14. Republic and Canton of Geneva, Switzerland: International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/2567948.2579213. ''[[https://doi.org/10.1145/2567948.2579213 Available through UW Libraries]]'' '''Optional readings related to the ethics of data collection online:''' * Amy Bruckman's two 2016 blog posts about researchers violating terms of Service (TOS) while doing academic research: [https://nextbison.wordpress.com/2016/02/26/tos/ Do Researchers Need to Abide by Terms of Service (TOS)? An Answer.] and [https://nextbison.wordpress.com/2016/02/29/tos2/ More on TOS: Maybe Documenting Intent Is Not So Smart] * [http://www.copyright.gov/legislation/dmca.pdf Digital Millenium Copyright Act] and these explanatory/commentary essays & sites: ** The [https://www.eff.org/ Electronic Frontier Foundation's] [https://www.eff.org/issues/dmca page on the DMCA]. ** Templeton, Brad's [http://www.templetons.com/brad/copyright.html A Brief Intro to Copyright] & [http://www.templetons.com/brad/copymyths.html 10 Big Myths about Copyright Explained] ** Sections on Copyright, Privacy, and Social Media in the “Internet Case Digest” of the [http://www.perkinscoie.com/casedigest/ Perkins Coie LLP “Case Digest” site]. * Narayanan, A., and V. Shmatikov. 2008. “Robust De-Anonymization of Large Sparse Datasets.” In IEEE Symposium on Security and Privacy, 2008. SP 2008, 111–25. https://doi.org/10.1109/SP.2008.33. ''[[https://doi.org/10.1109/SP.2008.33 Available through UW Libraries]]'' '''Two useful sources of data collection:''' * [http://www.archiveteam.org/index.php?title=Main_Page Archive Team] is an online community that archives websites. They are a fantastic resource and include many pieces of detailed technical documentation on the practice of engaging in web archiving. For example, here are detailed explanations of [http://www.archiveteam.org/index.php?title=Wget#Mirroring_a_website mirroring a website with GNU wget] which is the piece of free software I usually use to archive websites. * [https://www.openhumans.org/ OpenHumans] is an online community where people share personal data with each other and with researchers. ==== Part II: Textual Analyses ==== '''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. ''[[https://doi.org/10.1177/107769900007700107 Available through UW Libraries]]'' * Shah, Dhavan V., Joseph N. Capella, W. Russell Neuman, Rodrigo Zamith, 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. ''[[https://doi.org/10.1177/0002716215570576 Available in UW libraries]]'' * 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. ''[[https://doi.org/10.1093/pan/mps028 Available through UW Libraries]]'' * 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. ''[[https://doi.org/10.1016/j.poetic.2013.08.004 Available through UW Libraries]]'' * Feldman, Ronen. 2013. “Techniques and Applications for Sentiment Analysis.” Communications of the ACM 56 (4): 82–90. https://doi.org/10.1145/2436256.2436274. ''[[https://doi.org/10.1145/2436256.2436274 Available in UW libraries]]'' <!-- super industry focused. remove next time and replace w/ something better --> '''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. ''[[https://doi.org/10.1080/19312458.2018.1447655 Available in UW libraries]]'' * 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 [https://en.wikipedia.org/wiki/Content_analysis content analysis] as a methodology. If your not as comfortable with this, check out the Wikipedia article to start. These help provide more of a background into content analysis (in general, and online): * Van Selm, Martine & Jankowski, Nick, (2005) "[https://canvas.uw.edu/files/36066292/download?download_frd=1 Content Analysis of Internet-Based Documents.]" Unpublished Manuscript. ''[Available in Canvas]'' * 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. ''[Available Free Online]'' * 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. ''[Available from UW Libraries]''' * 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. Another example of topic modeling from political science: * 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. ''[Free Online]'' === Week 2: Friday January 17: CDSW Session 0 === As description in the section on technical skills above, I expect everybody who is not comfortable with at least basic programming and data collection to attend the [[Community Data Science Workshops (Winter 2020)]] which I am running concurrently with this class. This session will run from 6-9pm and is the only session which can probably be missed. Please do contact me, however, if you will not be able to attend it. === Week 2: Saturday January 18: CDSW Session 1 === As description in the section on technical skills above, I expect everybody who is not comfortable with at least basic programming and data collection to attend the [[Community Data Science Workshops (Winter 2020)]] which I am running concurrently with this class. This session will run from 9am-3pm. Details on the [[CDSW Winter 2020]] page. === Week 3: Tuesday January 21: (I) Network Analysis and (II) Hyperlink Networks === ==== Part I: Network Analysis ==== '''Required Readings:''' * Lazer, David. 2018. “Networks and Information Flow.” The Oxford Handbook of Networked Communication, April. https://doi.org/10.1093/oxfordhb/9780190460518.013.2. ''[[https://doi.org/10.1093/oxfordhb/9780190460518.013.2 Available through UW libraries]]'' * Garton, Laura, Caroline Haythornthwaite, and Barry Wellman. 1997. “Studying Online Social Networks.” Journal of Computer-Mediated Communication 3 (1): 0–0. https://doi.org/10.1111/j.1083-6101.1997.tb00062.x. ''[[https://doi.org/10.1111/j.1083-6101.1997.tb00062.x Available free online]]'' * Mislove, Alan, Massimiliano Marcon, Krishna P. Gummadi, Peter Druschel, and Bobby Bhattacharjee. 2007. “Measurement and Analysis of Online Social Networks.” In Proceedings of the 7th ACM SIGCOMM Conference on Internet Measurement, 29–42. IMC ’07. New York, NY, USA: ACM. https://doi.org/10.1145/1298306.1298311. ''[[https://doi.org/10.1145/1298306.1298311 vailable through UW Libraries]'' * Shumate, Michelle, and Edward T. Palazzolo. 2010. “Exponential Random Graph (P*) Models as a Method for Social Network Analysis in Communication Research.” Communication Methods and Measures 4 (4): 341–71. https://doi.org/10.1080/19312458.2010.527869. ''[[https://canvas.uw.edu/files/61256165/download?download_frd=1 Available through Canvas]]'' * Foucault Welles, Brooke, Anthony Vashevko, Nick Bennett, and Noshir Contractor. 2014. “Dynamic Models of Communication in an Online Friendship Network.” Communication Methods and Measures 8 (4): 223–43. https://doi.org/10.1080/19312458.2014.967843. ''[[https://canvas.uw.edu/files/61256283/download?download_frd=1 Available through Canvas]]'' * Freelon, Deen. 2018. “Partition-Specific Network Analysis of Digital Trace Data.” The Oxford Handbook of Networked Communication, April. https://doi.org/10.1093/oxfordhb/9780190460518.013.3. ''[[https://doi.org/10.1093/oxfordhb/9780190460518.013.3 Available through UW libraries]]'' '''Optional Readings:''' * Wellman, Barry. 2016. “Challenges in Collecting Personal Network Data: The Nature of Personal Network Analysis - Barry Wellman, 2007.” Field Methods, July. http://journals.sagepub.com/doi/10.1177/1525822X06299133. ''[[http://journals.sagepub.com/doi/10.1177/1525822X06299133 Available through UW libraries]]'' * Yang, Jaewon, and Jure Leskovec. 2015. “Defining and Evaluating Network Communities Based on Ground-Truth.” Knowledge and Information Systems 42 (1): 181–213. https://doi.org/10.1007/s10115-013-0693-z. ''[[https://canvas.uw.edu/files/61256357/download?download_frd=1 Available through Canvas]]'' * Centola, Damon. 2010. “The Spread of Behavior in an Online Social Network Experiment.” Science 329 (5996): 1194–97. https://doi.org/10.1126/science.1185231. ''[[https://doi.org/10.1126/science.1185231 Available through UW Libraries]]' * '''[Example]''' Jackson, Sarah J., and Brooke Foucault Welles. 2015. “Hijacking #myNYPD: Social Media Dissent and Networked Counterpublics.” Journal of Communication 65 (6): 932–52. https://doi.org/10.1111/jcom.12185. ''[[https://doi.org/10.1111/jcom.12185 Available through UW Libraries]]' '''Network datasets:''' * [https://snap.stanford.edu/data/ Stanford Large Network Dataset Collection] which contains a variety of network datasets. Many, but certainly not all, are social networks. ==== Part II: Hyperlink Networks ==== * Park, Han Woo. 2003. “Hyperlink Network Analysis: A New Method for the Study of Social Structure on the Web.” Connections 25 (1): 49–61. ''[[https://canvas.uw.edu/files/61256175/download?download_frd=1 Available through Canvas]]'' * González-Bailón, Sandra. 2009. “Opening the Black Box of Link Formation: Social Factors Underlying the Structure of the Web.” Social Networks 31 (4): 271–80. https://doi.org/10.1016/j.socnet.2009.07.003. ''[[https://doi.org/10.1016/j.socnet.2009.07.003 Available through UW libraries]]'' * '''[Example]''' Elgin, Dallas J. 2015. “Utilizing Hyperlink Network Analysis to Examine Climate Change Supporters and Opponents.” Review of Policy Research 32 (2): 226–45. https://doi.org/10.1111/ropr.12118. ''[[https://doi.org/10.1111/ropr.12118 Available through UW libraries]]'' '''Optional readings:''' * Jackson, Michele H. 1997. “Assessing the Structure of Communication on the World Wide Web.” Journal of Computer-Mediated Communication 3 (1). https://doi.org/10.1111/j.1083-6101.1997.tb00063.x. ''[[https://doi.org/10.1111/j.1083-6101.1997.tb00063.x Available free online]]'' * Ackland, Robert. 2016. “WWW Hyperlink Networks.” Lecture Slides presented at the SOCR8006 Online Research Methods, Canberra, Australia. http://vosonlab.net/papers/ACSPRISummer2017/Lecture_Hyperlink_Networks.pdf. ''[[http://vosonlab.net/papers/ACSPRISummer2017/Lecture_Hyperlink_Networks.pdf Available free online]]'' * Lusher, Dean, and Robert Ackland. 2011. “A Relational Hyperlink Analysis of an Online Social Movement.” Journal of Social Software 12 (5). https://www.cmu.edu/joss/content/articles/volume12/Lusher/. ''[[https://www.cmu.edu/joss/content/articles/volume12/Lusher/ Available free online]]'' * '''[Example]''' Shumate, Michelle, and Lori Dewitt. 2008. “The North/South Divide in NGO Hyperlink Networks.” Journal of Computer-Mediated Communication 13 (2): 405–28. https://doi.org/10.1111/j.1083-6101.2008.00402.x. ''[[https://doi.org/10.1111/j.1083-6101.2008.00402.x Available free online]]'' '''Tools for collecting hyperlink network data:''' * [http://www.govcom.org/Issuecrawler_instructions.htm Issue Crawler] — network mapping software by the Govcom.org Foundation, Amsterdam in a group run by Richard Rogers * [http://vosonlab.net/VOSON Virtual Observatory for the Study of Online Networks (VOSON)] — "web-based software incorporating web mining, data visualisation, and traditional empirical social science methods (e.g. social network analysis, SNA). Text analysis, dataset manipulation and visualisation, and social network analysis (SNA) are available within an integrated environment." === Week 4: Tuesday January 28: (I) Ethnography and (II) Interviews === ==== Part I: Digital & Trace Ethnography ==== '''Required Readings:''' More traditional ethnographic research in online settings: * Hines, Christine. 2017. “Ethnographies of Online Communities and Social Media: Modes, Varieties, Affordances.” In The SAGE Handbook of Online Research Methods, edited by Nigel G. Fielding, Raymond M. Lee, and Grant Blank, 2 edition, 401–15. London, UK: SAGE. ''[[https://canvas.uw.edu/files/61411232/download?download_frd=1 Available in Canvas]]'' * [Selections] Jemielniak, Dariusz. 2014. Common Knowledge?: An Ethnography of Wikipedia. Stanford, California: Stanford University Press. ''["Introduction" and "Appendix A: Methodology"; [https://canvas.uw.edu/files/61411233/download?download_frd=1 Available in Canvas]]'' Material on "Trace" and "network" ethnographies: * Geiger, R. Stuart, and David Ribes. 2011. “Trace Ethnography: Following Coordination Through Documentary Practices.” In Proceedings of the 2011 44th Hawaii International Conference on System Sciences, 1–10. HICSS ’11. Washington, DC, USA: IEEE Computer Society. https://doi.org/10.1109/HICSS.2011.455. ''[[https://canvas.uw.edu/files/61467087/download?download_frd=1 Available in Canvas]]'' * Geiger, R. Stuart, and Aaron Halfaker. 2017. “Operationalizing Conflict and Cooperation between Automated Software Agents in Wikipedia: A Replication and Expansion of ‘Even Good Bots Fight.’” Proceedings of the ACM on Human-Computer Interaction 1 (CSCW): 49:1–49:33. https://doi.org/10.1145/3134684. ''[[https://doi.org/10.1145/3134684 Available through UW libraries]]'' * Howard, Philip N. 2002. “Network Ethnography and the Hypermedia Organization: New Media, New Organizations, New Methods.” New Media & Society 4 (4): 550–74. https://doi.org/10.1177/146144402321466813. ''[[https://doi.org/10.1177/146144402321466813 Available through UW libraries]]'' '''Optional Readings:''' * Hine, Christine. 2000. Virtual Ethnography. London, UK: SAGE Publications. ''[Available from the Instructor]'' :This is the canonical book-length account and ''the'' main citation in this space. * Coleman, E. Gabriella. 2010. “Ethnographic Approaches to Digital Media.” Annual Review of Anthropology 39 (1): 487–505. https://doi.org/10.1146/annurev.anthro.012809.104945. ''[[https://doi.org/10.1146/annurev.anthro.012809.104945 Available through UW libraries]]'' * Response by danah boyd To Hine's "Question One: How Can Qualitative Internet Researchers Define the Boundaries of Their Projects?" from Internet Inquiry: Conversations About Method, Annette Markham and Nancy Baym (Eds.), Sage, 2009, pp. 1-32. ''[[https://canvas.uw.edu/files/61411259/download?download_frd=1 Available in Canvas]]'' :Note: You may also be interest in reading the essay by Hine that boyd is responding to. ''[[https://canvas.uw.edu/files/61411258/download?download_frd=1 Available in Canvas]]'' * Hjorth, Larissa, Heather Horst, Anne Galloway, and Genevieve Bell, eds. 2016. The Routledge Companion to Digital Ethnography. New York, NY: Routledge. ''[Available from the instructor]'' * Sinanan, Jolynna, and Tom McDonald. 2018. “Ethnography.” In The SAGE Handbook of Social Media, 179–95. 55 City Road: SAGE Publications Ltd. https://doi.org/10.4135/9781473984066. ''[[https://doi.org/10.4135/9781473984066 Available through UW libraries]]'' * Maxwell, Joseph A. 2002. “Understanding and Validity in Qualitative Research.” In The Qualitative Researcher’s Companion, edited by A. M. Huberman and Matthew B. Miles, 37–64. London, UK: SAGE. ''[[https://canvas.uw.edu/files/61411296/download?download_frd=1 Available in Canvas]]'' * Champion, Kaylea, Nora McDonald, Stephanie Bankes, Joseph Zhang, Rachel Greenstadt, Andrea Forte, and Benjamin Mako Hill. 2019. “A Forensic Qualitative Analysis of Contributions to Wikipedia from Anonymity Seeking Users.” Proceedings of the ACM on Human-Computer Interaction 3 (CSCW): 53:1–53:26. https://doi.org/10.1145/3359155. ''[[https://doi.org/10.1145/3359155 Available through UW libraries]]'' These are all other interesting and/or frequently cited examples of Internet-based ethnographies: * Geiger, R. Stuart, and David Ribes. 2010. “The Work of Sustaining Order in Wikipedia:The Banning of a Vandal.” In Proceedings of the 2010 ACM Conference on Computer Supported Cooperative Work, 117–126. CSCW ’10. New York, NY, USA: ACM. https://doi.org/10.1145/1718918.1718941. ''[[https://doi.org/10.1145/1718918.1718941 Available through UW libraries]]'' — A trace ethnography and sort of the companion paper/substantive paper for the methods piece included in the required readings above. * Brotsky, Sarah R., and David Giles. 2007. “Inside the ‘Pro-Ana’ Community: A Covert Online Participant Observation.” Eating Disorders 15 (2): 93–109. https://doi.org/10.1080/10640260701190600. ''[[https://doi.org/10.1080/10640260701190600 Available through UW libraries]]'' :Note: To conduct the study reported in this paper the authors created a used a fake profile in order to observe the psychological support offered to participants. * Williams, Matthew. 2007. “Avatar Watching: Participant Observation in Graphical Online Environments.” Qualitative Research 7 (1): 5–24. https://doi.org/10.1177/1468794107071408. ''[[https://doi.org/10.1177/1468794107071408 Available through UW libraries]]'' : Note: Fantastic more general introduction but takeaways that are more specifically targeted toward people studying virtual reality type environments with virtual physicality. Charlie's optional readings (virtual world ethnographies): * Bainbridge, William Sims. 2010. The Warcraft Civilization: Social Science in a Virtual World. Cambridge, Massachusetts: MIT. [mitpress https://mitpress.mit.edu/books/warcraft-civilization] * Nardi, Bonnie A. 2009. My Life as a Night Elf Priest: An Anthropological Account of World of Warcraft. Ann Arbor, Michigan: University of Michigan. [free pdfs https://muse.jhu.edu/book/1093] * Pearce, Celia, Tom Boellstorff, and Bonnie A. Nardi. 2011. Communities of Play: Emergent Cultures in Multiplayer Games and Virtual Worlds. The MIT Press. [mitpress https://mitpress.mit.edu/books/communities-play] * Boellstorff, Tom, Bonnie Nardi, Celia Pearce, T. L. Taylor, and George E. Marcus. 2012. Ethnography and Virtual Worlds: A Handbook of Method. Princeton: Princeton University Press. [https://press.princeton.edu/books/hardcover/9780691149509/ethnography-and-virtual-worlds] ==== Part II: Online Interviewing ==== '''Required Readings:''' * O’Connor, Henrietta, and Clare Madge. 2017. “Internet-Based Interviewing.” In The SAGE Handbook of Online Research Methods, edited by Nigel G. Fielding, Raymond M. Lee, and Grant Blank, 2 edition, 416–34. London, UK: SAGE. ''[[https://canvas.uw.edu/files/61411327/download?download_frd=1 Available through Canvas]]'' * Abrams, Katie M ., and Ted J. Gaiser. 2017. “Online Focus Groups.” In The SAGE Handbook of Online Research Methods, edited by Nigel G. Fielding, Raymond M. Lee, and Grant Blank, 2 edition, 435–50. London, UK: SAGE. ''[[https://canvas.uw.edu/files/61411329/download?download_frd=1 Available through Canvas]]'' * Hanna, Paul. 2012. “Using Internet Technologies (Such as Skype) as a Research Medium: A Research Note.” Qualitative Research 12 (2): 239–42. https://doi.org/10.1177/1468794111426607. ''[[https://doi.org/10.1177/1468794111426607 Available through UW libraries]]'' : Note: Short article you can basically skim. Read it quickly so you can cite it later. * Dowling, Sally. 2012. “Online Asynchronous and Face-to-Face Interviewing: Comparing Methods for Exploring Women’s Experiences of Breastfeeding Long Term.” In Cases in Online Interview Research, edited by Janet Salmons, 277–303. 2455 Teller Road, Thousand Oaks California 91320 United States: SAGE Publications, Inc. http://srmo.sagepub.com/view/cases-in-online-interview-research/n11.xml. ''[[http://srmo.sagepub.com/view/cases-in-online-interview-research/n11.xml Available through UW libraries]]'' '''Optional Readings:''' * boyd, danah. 2015. “Making Sense of Teen Life: Strategies for Capturing Ethnographic Data in a Networked Era.” In Digital Research Confidential: The Secrets of Studying Behavior Online, edited by Eszter Hargittai and Christian Sandvig. Cambridge, Massachusetts: MIT Press. ''[[https://canvas.uw.edu/files/61411386/download?download_frd=1 Available in Canvas]]'' : Note: Strongly focused on ethnographic interviews with tons of very specific details. Fantastic article on interviewing, although perhaps a bit weak on Internet-specific advice. * Markham, Annette N. 1998. “The Shifting Project, The Shifting Self.” In Life Online: Researching Real Experience in Virtual Space, 61–83. Rowman Altamira. ''[Available from instructor]'' : Note: One of the earliest books on online life and one of the earliest attempts to do online interviewing. This is dated, but highlight some important challenge. * Hutchinson, Emma. 2016. “Digital Methods and Perpetual Reinvention? Asynchronous Interviewing and Photo Elicitation.” In Digital Methods for Social Science: An Interdisciplinary Guide to Research Innovation, edited by Helene Snee, Christine Hine, Yvette Morey, Steven Roberts, and Hayley Watson, 143–56. London: Palgrave Macmillan UK. https://doi.org/10.1057/9781137453662_9. ''[[https://doi.org/10.1057/9781137453662_9 Available through UW Libraries]]'' * Hawkins, Janice. 2018. “The Practical Utility and Suitability of Email Interviews in Qualitative Research.” The Qualitative Report 23 (2). https://digitalcommons.odu.edu/nursing_fac_pubs/24. ''[[https://digitalcommons.odu.edu/nursing_fac_pubs/24 Available free online]]'' '''Alternate Accounts:''' These texts are largely redundant to the required texts above but do provide a different perspective and examples: *Salmons, Janet. 2014. Qualitative Online Interviews: Strategies, Design, and Skills. SAGE Publications. ''[Preface, TOC, and Chapter 1; [https://canvas.uw.edu/files/61411388/download?download_frd=1 Available in Canvas]]'' : This is a book that lays out what claims to be a comprehensive account to online interviewing. I have the book and am happy to loan my copy to anybody in the class that thinks this will be a core part of their research. '''Optional readings related to the ethics of identify subjects:''' * Markham, Annette. 2012. “Fabrication as Ethical Practice.” Information, Communication & Society 15 (3): 334–53. https://doi.org/10.1080/1369118X.2011.641993. ''[[https://doi.org/10.1080/1369118X.2011.641993 Available through UW libraries]]'' * Trevisan, Filippo, and Paul Reilly. 2014. “Ethical Dilemmas in Researching Sensitive Issues Online: Lessons from the Study of British Disability Dissent Networks.” Information, Communication & Society 17 (9): 1131–46. https://doi.org/10.1080/1369118X.2014.889188. ''[[https://doi.org/10.1080/1369118X.2014.889188 Available through UW libraries]]'' === Week 4: Saturday February 1: CDSW Session 2 === As described in the section on technical skills above, I expect everybody who is not comfortable with at least basic programming and data collection to attend the [[Community Data Science Workshops (Winter 2020)]] which I am running concurrently with this class. This session will run from 10 am-4 pm. Details on the [[CDSW Winter 2020]] page. === Week 5: Tuesday February 4: (I) Surveys and (II) Experiments === ==== Part I: Surveys ==== '''Required Readings:''' * Fricker, Jr., Ronald D., and Katja Lozar Manfreda. 2017. “Sampling Methods for Online Surveys.” In The SAGE Handbook of Online Research Methods, edited by Nigel G. Fielding, Raymond M. Lee, and Grant Blank, 2 edition, 162–83. London, UK: SAGE. ''[[https://canvas.uw.edu/files/61598407/download?download_frd=1 Available in Canvas]]'' * Walejko, Gina. 2009. “Online Survey: Instant Publication, Instant Mistake, All of the Above.” In Research Confidential: Solutions to Problems Most Social Scientists Pretend They Never Have, edited by Eszter Hargittai, 101–21. Ann Arbor, MI: University of Michigan Press. ''[[https://canvas.uw.edu/files/61598735/download?download_frd=1 Available in Canvas]]'' * Konstan, Joseph A., B. R. Simon Rosser, Michael W. Ross, Jeffrey Stanton, and Weston M. Edwards. 2005. “The Story of Subject Naught: A Cautionary but Optimistic Tale of Internet Survey Research.” Journal of Computer-Mediated Communication 10 (2): 00–00. https://doi.org/10.1111/j.1083-6101.2005.tb00248.x. ''[[https://doi.org/10.1111/j.1083-6101.2005.tb00248.x Free online]]'' * Hill, Benjamin Mako, and Aaron Shaw. 2013. “The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation.” PLoS ONE 8 (6): e65782. https://doi.org/10.1371/journal.pone.0065782. ''[[https://doi.org/10.1371/journal.pone.0065782 Free online]]'' * Salganik, Matthew J., and Karen E. C. Levy. 2015. “Wiki Surveys: Open and Quantifiable Social Data Collection.” PLOS ONE 10 (5): e0123483. https://doi.org/10.1371/journal.pone.0123483. ''[[https://doi.org/10.1371/journal.pone.0123483 Free online]]'' : Note: [http://www.technologyreview.com/view/531696/inspired-by-wikipedia-social-scientists-create-a-revolution-in-online-surveys/ This journalistic account of the research] may also be useful. * Alperin, Juan Pablo, Erik Warren Hanson, Kenneth Shores, and Stefanie Haustein. 2017. “Twitter Bot Surveys: A Discrete Choice Experiment to Increase Response Rates.” In Proceedings of the 8th International Conference on Social Media & Society, 1–4. #SMSociety17. Toronto, ON, Canada: Association for Computing Machinery. https://doi.org/10.1145/3097286.3097313. ''[[https://doi.org/10.1145/3097286.3097313 Available through UW libraries]]'' '''Optional Readings:''' * Van Selm, Martine, and Nicholas W. Jankowski. 2006. “Conducting Online Surveys.” Quality and Quantity 40 (3): 435–56. https://doi.org/10.1007/s11135-005-8081-8. ''[[https://doi.org/10.1007/s11135-005-8081-8 Available through UW Libraries]]'' * Vehovar, Vasja, and Katja Lozar Manfreda. 2017. “Overview: Online Surveys.” In The SAGE Handbook of Online Research Methods, edited by Nigel G. Fielding, Raymond M. Lee, and Grant Blank, 2 edition, 143–61. London, UK: SAGE. ''[[https://canvas.uw.edu/files/61598415/download?download_frd=1 Available in Canvas]]'' * Kaczmirek, Lars. 2017. “Online Survey Software.” In The SAGE Handbook of Online Research Methods, edited by Nigel G. Fielding, Raymond M. Lee, and Grant Blank, 2 edition, 203–19. London, UK: SAGE. ''[[https://canvas.uw.edu/files/61598409/download?download_frd=1 Available in Canvas]]'' * Toepoel, Vera. 2017. “Online Survey Design.” In The SAGE Handbook of Online Research Methods, edited by Nigel G. Fielding, Raymond M. Lee, and Grant Blank, 2 edition, 184–202. London, UK: SAGE. ''[[https://canvas.uw.edu/files/61598411/download?download_frd=1 Available in Canvas]]'' * Mavletova, Aigul, and Mick P. Couper. 2014. “Mobile Web Survey Design: Scrolling versus Paging, SMS versus E-Mail Invitations.” Journal of Survey Statistics and Methodology 2 (4): 498–518. https://doi.org/10.1093/jssam/smu015. ''[[https://doi.org/10.1093/jssam/smu015 Available through UW libraries]]' * Yun, Gi Woong, and Craig W. Trumbo. 2000. “Comparative Response to a Survey Executed by Post, e-Mail, & Web Form.” Journal of Computer-Mediated Communication 6 (1): 0–0. https://doi.org/10.1111/j.1083-6101.2000.tb00112.x. ''[[https://doi.org/10.1111/j.1083-6101.2000.tb00112.x Free online]]'' * Hargittai, Eszter, and Chris Karr. 2009. “WAT R U DOIN? Studying the Thumb Generation Using Text Messaging.” In Research Confidential: Solutions to Problems Most Social Scientists Pretend They Never Have, edited by Eszter Hargittai, 192–216. Ann Arbor, MI: University of Michigan Press. ''[[https://canvas.uw.edu/files/61598738/download?download_frd=1 Available in Canvas]]'' If you don't have a background in survey design, these two have been recommended by our guest speaker as good basic things to read: * Krosnick, Jon A. 1999. “Maximizing Measurement Quality: Principles of Good Questionnaire Design.” In Measures of Political Attitudes, edited by John P. Robinson, Phillip R. Shaver, and Lawrence S. Wrightsman. New York: Academic Press. * Krosnick, Jon A. 1999. “Survey Research.” Annual Review of Psychology 50 (1): 537–67. https://doi.org/10.1146/annurev.psych.50.1.537. ''[[https://doi.org/10.1146/annurev.psych.50.1.537 Available through UW libraries]]'' Tools for doing mobile surveys: * [https://www.rapidsms.org/ RapidSMS] * [https://www.twilio.com/ Twilio] ==== Part II: Experiments ==== '''Required Readings:''' * Reips, Ulf-Dietrich. 2002. “Standards for Internet-Based Experimenting.” Experimental Psychology 49 (4): 243–56. https://doi.org/10.1026//1618-3169.49.4.243. ''[[https://doi.org/10.1026//1618-3169.49.4.243 Available through UW Libraries]]' * Salganik, Matthew J., Peter Sheridan Dodds, and Duncan J. Watts. 2006. “Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market.” Science 311 (5762): 854–56. https://doi.org/10.1126/science.1121066. ''[[https://doi.org/10.1126/science.1121066 Available through UW Libraries]]' * Hergueux, Jérôme, and Nicolas Jacquemet. 2014. “Social Preferences in the Online Laboratory: A Randomized Experiment.” Experimental Economics 18 (2): 251–83. https://doi.org/10.1007/s10683-014-9400-5. ''[[https://doi.org/10.1007/s10683-014-9400-5 Available in Canvas]]'' * Rijt, Arnout van de, Soong Moon Kang, Michael Restivo, and Akshay Patil. 2014. “Field Experiments of Success-Breeds-Success Dynamics.” Proceedings of the National Academy of Sciences 111 (19): 6934–39. https://doi.org/10.1073/pnas.1316836111. ''[[https://doi.org/10.1073/pnas.1316836111 Available in Canvas]]'' * Narayan, Sneha, Nathan TeBlunthuis, Wm Salt Hale, Benjamin Mako Hill, and Aaron Shaw. 2019. “All Talk: How Increasing Interpersonal Communication on Wikis May Not Enhance Productivity.” Proceedings of the ACM on Human-Computer Interaction 3 (CSCW): 101:1–101:19. https://doi.org/10.1145/3359203. ''[[https://doi.org/10.1145/3359203 Available through UW Libraries]]' '''Optional Readings:''' * Eckles, Dean, Brian Karrer, and Johan Ugander. 2017. “Design and Analysis of Experiments in Networks: Reducing Bias from Interference.” Journal of Causal Inference 5 (1). https://doi.org/10.1515/jci-2015-0021. ''[[https://doi.org/10.1515/jci-2015-0021 Available through UW libraries]]' : This piece is set as the intersection of networks and experiments. It's very important but is probably too technical to assign for the whole c.ass * Kohavi, Ron, Alex Deng, Brian Frasca, Toby Walker, Ya Xu, and Nils Pohlmann. 2013. “Online Controlled Experiments at Large Scale.” In Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1168–1176. KDD ’13. Chicago, Illinois, USA: Association for Computing Machinery. https://doi.org/10.1145/2487575.2488217. ''[[https://doi.org/10.1145/2487575.2488217 Available through UW libraries]]' * Reinecke, Katharina, and Krzysztof Z. Gajos. 2015. “LabintheWild: Conducting Large-Scale Online Experiments With Uncompensated Samples.” In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 1364–1378. CSCW ’15. New York, NY, USA: ACM. https://doi.org/10.1145/2675133.2675246. ''[[https://doi.org/10.1145/2675133.2675246 Available through UW libraries]]' * Zhu, Haiyi, Amy Zhang, Jiping He, Robert E. Kraut, and Aniket Kittur. 2013. “Effects of Peer Feedback on Contribution: A Field Experiment in Wikipedia.” In , 2253. ACM Press. https://doi.org/10.1145/2470654.2481311. ''[[https://doi.org/10.1145/2470654.2481311 Available through UW libraries]]' * Zhang, Xiaoquan (Michael), and Feng Zhu. 2011. “Group Size and Incentives to Contribute: A Natural Experiment at Chinese Wikipedia.” American Economic Review 101 (4): 1601–15. https://doi.org/10.1257/aer.101.4.1601. ''[[https://doi.org/10.1257/aer.101.4.1601 Available through UW libraries]]' * Weninger, Tim, Thomas James Johnston, and Maria Glenski. 2015. “Random Voting Effects in Social-Digital Spaces: A Case Study of Reddit Post Submissions.” Pp. 293–297 in Proceedings of the 26th ACM Conference on Hypertext & Social Media, HT ’15. Guzelyurt, Northern Cyprus: Association for Computing Machinery. === Week 6: Tuesday February 11: Crowdsourcing, Digital Labor Markets, and Human Computation === :'''Note:''' I've marked things as '''[Required]''' below if they are required because I thought it made more sense to keep the topics groups of articles below intact. MTurk documentation and guidelines: * '''[Required]''' [https://docs.aws.amazon.com/AWSMechTurk/latest/RequesterUI/Introduction.html Amazon Mechanical Turk Requester UI Guide] — ''Skim, but make sure you're ready to submit tasks.'' * '''[Required]''' [https://mturkpublic.s3.amazonaws.com/docs/MTURK_BP.pdf Amazon Mechanical Turk Best Practices Guide] — ''Skim, but make sure you're ready to submit tasks.'' * '''[Required]''' Shaw, Aaron. 2015. “Hired Hands and Dubious Guesses: Adventures in Crowdsourced Data Collection.” In Digital Research Confidential: The Secrets of Studying Behavior Online, edited by Eszter Hargittai and Christian Sandvig. The MIT Press. ''[[https://canvas.uw.edu/files/61787315/download?download_frd=1 Available in Canvas]]'' * '''[Required]''' [https://blog.mturk.com/tutorials/home Tutorials Posted on the MTurk blog] — ''Skim and browse and pay attention to things that are like what you'd like to do in the class session.'' * '''[Required]''' [https://wearedynamo.fandom.com/wiki/Guidelines_for_Academic_Requesters Guidelines for Academic Requesters] and [https://wearedynamo.fandom.com/wiki/Basics_of_how_to_be_a_good_requester Basics of How to be a good Requester] from the ''We Are Dynamo'' — These sets of guidelines were created by Turkers as part of an effort to engage in collective actions and organizer of Turkers run by Niloufar Saleh in the paper below. * Mason, Winter, and Siddharth Suri. 2011. “Conducting Behavioral Research on Amazon’s Mechanical Turk.” Behavior Research Methods 44 (1): 1–23. https://doi.org/10.3758/s13428-011-0124-6. {{avail-uw|https://doi.org/10.3758/s13428-011-0124-6}} — ''Dated but still somewhat useful.'' Overviews of MTurk and issues of data quality: * Horton, John J., David G. Rand, and Richard J. Zeckhauser. 2011. “The Online Laboratory: Conducting Experiments in a Real Labor Market.” Experimental Economics 14 (3): 399–425. https://doi.org/10.1007/s10683-011-9273-9. {{avail-uw|https://doi.org/10.1007/s10683-011-9273-9}} * Buhrmester, Michael, Tracy Kwang, and Samuel D. Gosling. 2011. “Amazon’s Mechanical Turk: A New Source of Inexpensive, yet High-Quality, Data?” Perspectives on Psychological Science, February. https://doi.org/10.1177/1745691610393980. {{avail-uw|https://doi.org/10.1177/1745691610393980}} * Casler, Krista, Lydia Bickel, and Elizabeth Hackett. 2013. “Separate but Equal? A Comparison of Participants and Data Gathered via Amazon’s MTurk, Social Media, and Face-to-Face Behavioral Testing.” Computers in Human Behavior 29 (6): 2156–60. https://doi.org/10.1016/j.chb.2013.05.009. {{avail-uw|https://doi.org/10.1016/j.chb.2013.05.009}} * '''[Required]''' Weinberg, Jill, Jeremy Freese, and David McElhattan. 2014. “Comparing Data Characteristics and Results of an Online Factorial Survey between a Population-Based and a Crowdsource-Recruited Sample.” Sociological Science 1: 292–310. https://doi.org/10.15195/v1.a19. {{avail-free|https://doi.org/10.15195/v1.a19}} * Kees, Jeremy, Christopher Berry, Scot Burton, and Kim Sheehan. 2017. “An Analysis of Data Quality: Professional Panels, Student Subject Pools, and Amazon’s Mechanical Turk.” Journal of Advertising 46 (1): 141–55. https://doi.org/10.1080/00913367.2016.1269304. {{avail-uw|https://doi.org/10.1080/00913367.2016.1269304}} * '''[Required]''' Kennedy, Ryan, Scott Clifford, Tyler Burleigh, Ryan Jewell, and Philip Waggoner. 2018. “The Shape of and Solutions to the MTurk Quality Crisis.” SSRN Scholarly Paper ID 3272468. Rochester, NY: Social Science Research Network. https://papers.ssrn.com/abstract=3272468. ''[[https://papers.ssrn.com/abstract=3272468 Available free online]]'' Culture and work conditions for Turkers: * Irani, Lilly. 2015. “The Cultural Work of Microwork.” New Media & Society 17 (5): 720–39. https://doi.org/10.1177/1461444813511926. {{avail-uw|https://doi.org/10.1177/1461444813511926}} * Kittur, Aniket, Jeffrey V. Nickerson, Michael Bernstein, Elizabeth Gerber, Aaron Shaw, John Zimmerman, Matt Lease, and John Horton. 2013. “The Future of Crowd Work.” In Proceedings of the 2013 Conference on Computer Supported Cooperative Work, 1301–1318. CSCW ’13. San Antonio, Texas, USA: Association for Computing Machinery. https://doi.org/10.1145/2441776.2441923. {{avail-uw|https://doi.org/10.1145/2441776.2441923}} {{avail-free|http://hci.stanford.edu/publications/2013/CrowdWork/futureofcrowdwork-cscw2013.pdf}} * Gray, Mary L., Siddharth Suri, Syed Shoaib Ali, and Deepti Kulkarni. 2016. “The Crowd Is a Collaborative Network.” In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, 134–147. CSCW ’16. San Francisco, California, USA: Association for Computing Machinery. https://doi.org/10.1145/2818048.2819942. {{avail-uw|https://doi.org/10.1145/2818048.2819942}} * '''[Required]''' Semuels, Alana. 2018. “The Internet Is Enabling a New Kind of Poorly Paid Hell.” The Atlantic. January 23, 2018. https://www.theatlantic.com/business/archive/2018/01/amazon-mechanical-turk/551192/. {{avail-free|https://www.theatlantic.com/business/archive/2018/01/amazon-mechanical-turk/551192/}} Systems to approve Turker experiences: * Salehi, Niloufar, Lilly C. Irani, Michael S. Bernstein, Ali Alkhatib, Eva Ogbe, Kristy Milland, and Clickhappier. 2015. “We Are Dynamo: Overcoming Stalling and Friction in Collective Action for Crowd Workers.” In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 1621–1630. CHI ’15. Seoul, Republic of Korea: Association for Computing Machinery. https://doi.org/10.1145/2702123.2702508. {{avail-uw|https://doi.org/10.1145/2702123.2702508}} * Irani, Lilly C., and M. Six Silberman. 2013. “Turkopticon: Interrupting Worker Invisibility in Amazon Mechanical Turk.” In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 611–620. CHI ’13. Paris, France: Association for Computing Machinery. https://doi.org/10.1145/2470654.2470742. {{avail-uw|https://doi.org/10.1145/2470654.2470742}} '''Assignments to complete before class:''' The first task is to complete a task a crowd worker: * '''If you are a US citizen:''' Sign up as a worker on MTurk. Find and complete at least 5 "hits" as a worker on [http://mturk.com Amazon Mechanical Turk]. Note that to do this you will need to create a ''worker'' account on Mturk. * '''If you are not a US citizen or if you cannot sign up on MTurk for some other reason:''' Complete at least 3-4 classification tasks in at least 2 different [https://www.zooniverse.org/projects Zooniverse projects] of your choice. Also, complete at least one "study" in [https://www.labinthewild.org/ Lab in the Wild] * In either case: Record (write down) details and notes about your tasks: What did you do? Who was the requester? What could you was the purpose of the task (as best you could tell)? What was the experience like? What research applications can you (not) imagine for this kind of system? The second task is to get ready to launch a task as a requestor. We will design and launch tasks in class but I want you to do the following ahead of time: * Create a "requester" account on [http://mturk.com Amazon Mechnical Turk]. Doing so may require up top 48 hours to be approved so please do that immediately so you have it ready to go in class. * Put money onto your requestor account to pay workers. A $5 budget should be sufficient for our class. They should take any payment that Amazon does. * Think of at least one small classification or coding task (e.g., of Tweets, images, etc) and one human subjects data collection tasks like a survey, a survey experiment, etc, that you would like to run. You will have a budget of $5 to run the task! * If running this task will involve some data (e.g., a set of images or URLs, a set of Tweets, etc), collect that material in a spreadsheet before class. If it will involve a survey, create your survey in a Google Form and/or a Survey Monkey or Qualtrics survey before class. === Week 6: Saturday February 15: CDSW Session 3 === As description in the section on technical skills above, I expect everybody who is not comfortable with at least basic programming and data collection to attend the [[Community Data Science Workshops (Winter 2020)]] which I am running concurrently with this class. This session will run from 9am-3pm. Details on the [[CDSW Winter 2020]] page. === Week 7: Tuesday February 18: Consulting Week (i.e., no group meeting) === During this week, we not meet together. Instead, I will schedule one-on-one in person meetings of an hour with each student individually to catch up with you about your project and to work directly with you to resolve any technical issues you have run into with data collection, etc. === Week 8: Tuesday February 25: (I) Discourse Analysis and (II) Visual Analysis === ==== Part I: Discourse Analysis ==== '''Required Readings:''' * Mitra, Ananda. 1999. “Characteristics of the WWW Text: Tracing Discursive Strategies.” Journal of Computer-Mediated Communication 5 (1): 0–0. https://doi.org/10.1111/j.1083-6101.1999.tb00330.x. {{avail-free|https://doi.org/10.1111/j.1083-6101.1999.tb00330.x}} * Thurlow, Crispin. 2018. “Digital Discourse: Locating Language in New/Social Media.” In The SAGE Handbook of Social Media, edited by Jean Burgess, Alice Marwick, and Thomas Poell, 135–45. London, UK: SAGE. https://doi.org/10.4135/9781473984066. {{avail-uw|https://doi.org/10.4135/9781473984066}} * Brock, André. 2018. “Critical Technocultural Discourse Analysis.” New Media & Society 20 (3): 1012–30. https://doi.org/10.1177/1461444816677532. {{avail-uw|https://doi.org/10.1177/1461444816677532}} '''Optional Readings:''' * Kaun, Anne. 2010. “Open-Ended Online Diaries: Capturing Life as It Is Narrated.” International Journal of Qualitative Methods 9 (2): 133–48. https://doi.org/10.1177/160940691000900202. {{avail-uw|https://doi.org/10.1177/160940691000900202}} ==== Part II: Visual Analysis ==== '''Required Readings:''' * Faulkner, Simon, Farida Vis, and Francesco D’Orazio. 2018. “Analysing Social Media Images.” In The SAGE Handbook of Social Media, edited by Jean Burgess, Alice Marwick, and Thomas Poell, 160–78. London, UK: SAGE. https://doi.org/10.4135/9781473984066. {{avail-uw|https://doi.org/10.4135/9781473984066}} * Casas, Andreu, and Nora Webb Williams. 2019. “Images That Matter: Online Protests and the Mobilizing Role of Pictures.” Political Research Quarterly 72 (2): 360–75. https://doi.org/10.1177/1065912918786805. {{avail-uw|https://doi.org/10.1177/1065912918786805}} * Casas, Andreu, and Nora Webb Williams. 2017. “Computer Vision for Political Science Research: A Study of Online Protest Images.” In. College Park, PA: Pennsylvania State University. http://andreucasas.com/casas_webb_williams_NewFaces2017_images_as_data.pdf. {{avail-free|http://andreucasas.com/casas_webb_williams_NewFaces2017_images_as_data.pdf}} * Hochman, Nadav, and Raz Schwartz. 2012. “Visualizing Instagram: Tracing Cultural Visual Rhythms.” In Sixth International AAAI Conference on Weblogs and Social Media. https://pdfs.semanticscholar.org/780d/c7ff86eb36731d5faa043ac635cbae6bbe45.pdf. {{avail-free|https://pdfs.semanticscholar.org/780d/c7ff86eb36731d5faa043ac635cbae6bbe45.pdf}} '''Optional Readings:''' * Torralba, Antonio. 2009. “Understanding Visual Scenes.” Tutorial presented at the NIPS, Vancouver, BC, Canada. http://videolectures.net/nips09_torralba_uvs/. {{avail-uw|http://videolectures.net/nips09_torralba_uvs/}} : Note: This is a two-part (each part is one hour) lecture and tutorial by an 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. * Hochman, Nadav, and Lev Manovich. 2013. “Zooming into an Instagram City: Reading the Local through Social Media.” First Monday 18 (7). https://firstmonday.org/article/view/4711/3698. {{avail-free|https://firstmonday.org/article/view/4711/3698}} These five papers 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, Alexandar, Mor Naaman, Tamir Tassa, and Marc Davis. 2006. “Generating Summaries and Visualization for Large Collections of Geo-Referenced Photographs.” In Proceedings of the 8th ACM International Workshop on Multimedia Information Retrieval, 89–98. MIR ’06. New York, NY, USA: ACM. https://doi.org/10.1145/1178677.1178692. {{avail-uw|https://doi.org/10.1145/1178677.1178692}} * Simon, Ian, Noah Snavely, and Steven M. Seitz. 2007. “Scene Summarization for Online Image Collections.” In Computer Vision, IEEE International Conference On, 0:1–8. Los Alamitos, CA, USA: IEEE Computer Society. https://doi.org/10.1109/ICCV.2007.4408863. {{avail-free|https://doi.org/10.1109/ICCV.2007.4408863}} * Crandall, David J., Lars Backstrom, Daniel Huttenlocher, and Jon Kleinberg. 2009. “Mapping the World’s Photos.” In Proceedings of the 18th International Conference on World Wide Web, 761–770. WWW ’09. New York, NY, USA: ACM. https://doi.org/10.1145/1526709.1526812. {{avail-uw|https://doi.org/10.1145/1526709.1526812}} * San Pedro, Jose, and Stefan Siersdorfer. 2009. “Ranking and Classifying Attractiveness of Photos in Folksonomies.” In Proceedings of the 18th International Conference on World Wide Web, 771–780. WWW ’09. New York, NY, USA: ACM. https://doi.org/10.1145/1526709.1526813. {{avail-uw|https://doi.org/10.1145/1526709.1526813}} * Doersch, Carl, Saurabh Singh, Abhinav Gupta, Josef Sivic, and Alexei A. Efros. 2012. “What Makes Paris Look like Paris?” ACM Trans. Graph. 31 (4): 101:1–101:9. https://doi.org/10.1145/2185520.2185597. {{avail-uw|https://doi.org/10.1145/2185520.2185597}} === Week 9: Tuesday March 3: Consulting Week === During this week, we will not meet together. Instead, I will schedule one-on-one in-person meetings of an hour with each student individually to catch up with you about your project and to work directly with you to resolve any technical issues you have run into with data collected. === Week 10: Tuesday March 10: Final Presentations === <!-- ==== Part I: Design Research ==== Today we'll have a guest visitor — [http://www.andresmh.com/ Andrés Monroy-Hernández] who is director of HCI research at SNAP and formerly from [http://fuse.microsoft.com/ Microsoft Research's FUSE labs]. Andrés is affiliate faculty in the Department of Communication and Department of Human-Centered Design and Engineering at UW. Monroy-Hernández's research involves studying people by designing and building systems. He's built a number of very large and successful socio-technical systems as part of his research. In his graduate work, he build the [http://scratch.mit.edu/ Scratch Online Community] which is now used by more than 10 million people. I've asked him to come and talk to us about design research as a process. As a result, it will be helpful to read about two projects he has worked on recently that he will talked to us about. Those projects are called NewsPad and Eventful. '''Required Readings:''' * Olsen, D. R., Jr. (2007). [http://doi.org/10.1145/1294211.1294256 Evaluating User Interface Systems Research.] In Proceedings of the 20th Annual ACM Symposium on User Interface Software and Technology (pp. 251–258). New York, NY, USA: ACM. [Available through UW Libraries] * J. Nathan Matias and Andres Monroy-Hernandez, [http://research.microsoft.com/apps/pubs/default.aspx?id=208886 NewsPad: Designing for Collaborative Storytelling in Neighborhoods]. CHI Work in Progress Paper. ACM, March 2014. * Elena Agapie, Jaime Teevan, and Andrés Monroy-Hernández, [http://research.microsoft.com/apps/pubs/default.aspx?id=252315 Crowdsourcing in the Field: A Case Study Using Local Crowds for Event Reporting], in Human Computation (HCOMP), AAAI - Association for the Advancement of Artificial Intelligence, August 2015. * Two very short videos describing the systems: [http://research.microsoft.com/en-us/projects/newspad/ NewsPad by FUSE Labs] and [http://research.microsoft.com/en-us/projects/eventful/ Eventful by FUSE Labs] ==== Part II: Digital Trace and Sensor Data ==== '''Required Readings:''' Read any 2 of these 4 chapters from the [https://global.oup.com/academic/product/the-handbook-of-emergent-technologies-in-social-research-9780195373592 Handbook of Emerging Technology in Social Research]: * Eagle, Nathan, "[https://canvas.uw.edu/files/36870285/download?download_frd=1 Mobile phones as sensors for social research]," Ch. 22 in HET. * Visser, Albertine, and Ingrid Mulder, "[https://canvas.uw.edu/files/36870283/download?download_frd=1 Emergent technologies for assessing social feelings and experiences]," Ch. 16 in HET. * de Haan, Geert, et. al., "[https://canvas.uw.edu/files/36870284/download?download_frd=1 Bringing the research lab into everyday life: Exploiting sensitive environments to acquire data for social research]," Ch. 23 in HET. * Fowler, Chris, et. al., "[https://canvas.uw.edu/files/36870282/download?download_frd=1 Living laboratories: Social research applications and evaluations]," Ch. 27 in HET. * Holohan, Anne, et. al., "[https://canvas.uw.edu/files/36870280/download?download_frd=1 The digital home: A new locus of social science research]," Ch. 28 in HET. -->
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