NEH Understanding Digital Culture:
Humanist Lenses for Internet Research
Workshop Syllabus
Summer 2020
University of Central Florida
Description
From fan communities and discourse about works of literature to meme-makers skewering cultural objects, online spaces enable readership, creation, circulation, and transformation of humanists texts – and the active making and remaking of public history. However, much internet research is driven by computational approaches without also being rigorously grounded in theories of culture and textual production. Navigating this space can be particularly daunting to early-career humanities scholars, and therefore the Understanding Digital Culture workshop, funded by the National Endowment for the Humanities, fostered a transdisciplinary approach to provide resources, training, and a community of collaborators designed to engage both computational network and data analysis tools, as well as the ethics and best practices of web research.
The original one-week intensive workshop has been translated into 5 modules designed to aid participants in defining and pursuing individual research questions. Throughout this workshop, participants will be introduced to readings intended to enhance their understanding of digital cultural research, as well as tools and approaches for both collecting and analyzing data from social platforms. The assignments for this workshop are scaffolded to familiarize participants with relevant scholarship, tools, and ethical considerations related to internet research.
Assignments
Discussions
Participants will be expected to participate in 9 asynchronous discussions with their assigned research group throughout the workshop. Participants will receive a prompt containing the specific details of the content they are expected to post (i.e. questions, progress, screenshots, etc.).
GitHub Repository Creation
This assignment asks participants to demonstrate a basic understanding of the GitHub platform by creating a repository, writing and saving their research questions, and pushing their content to GitHub. Participants will then submit a link to their new repository.
Data Scraping
Throughout the workshop, participants will be asked to practice using data scrapers for a variety of platforms, and to apply these tools to collect data for their research project. These assignments ask participants to submit screenshots of their data gathering process for each assignment.
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Preliminary Data Collection
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For this assignment, participants will begin collecting the data they need to answer their research questions. Participants can choose to collect data from Twitter or Reddit using the TAGs tool, or from YouTube using YouTube data tools.
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Reddit Scraping
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For this assignment, participants will use command line tools to scrape data from Reddit. Participants will need to install Python, clone a GitHub repository, and scrape a specific subreddit using a command of their creation.
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Advanced Scraping
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This assignment asks participants to choose between three potential scrapers (Instagram, Archive of Our Own, or Facebook), read the ReadMe, and perform a scrape using command line instructions.
Data Visualization
Participants will be asked to create a visualization from the data they’ve gathered about their research question. They can choose either Gephi or Orange for their visualization; alongside their visualization, participants will justify their choice of visualization software and explain what they learned about their research question as a result of creating the visualization.
Making Bots
Using instructions from Dr. Flores, participants will create their own bot, add images, and submit the bot’s handle.
Schedule
Module One: Platforms
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- Readings:
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- Gillespie, Tarleton. “The Politics of ‘Platforms.” New Media & Society 12, no. 3 (2010). https://doi.org/10.1177%2F1461444809342738
- Orgad, Shani. “How Can Researchers Make Sense of the Issues involved in Collecting and Interpreting Online and Offline Data?” In Internet Inquiry: Conversations about Method, edited by Annette Markham and Nancy K. Baym, 33-53. Los Angeles: Sage Publications, Inc., 2008.
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- Materials:
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- Intro to Platforms (Jennifer deWinter; pdf)
- Intro to Platforms (Jennifer deWinter; mp4)
- A Platform Heuristic for Digital Humanities (Jennifer deWinter; pdf)
- Research Question Flow Chart (Mel Stanfill; pdf)
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- Assignments:
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- Discussion 1: Research Question Flowchart (Mel Stanfill; pdf)
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- Readings:
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- Readings:
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- Navar-Gill, Annemarie, and Mel Stanfill. “‘We Shouldn’t Have to Trend to Make you Listen’: Queer Fan Hashtag Campaigns as Production Interventions.” Journal of Film and Video.
- Steele, Catherine Knight. “Black Bloggers and their Varied Publics: The Everyday Politics of Black Discourse Online.” Television & New Media 19, 2 (2018): 112-127. doi: 10.1177/1527476417709535
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- Materials:
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- Twitter
- Twitter Developer Account (Lauren Rouse; pptx)
- Tweetdeck: An Introduction (Lauren Rouse; pptx)
- YouTube
- YouTube Intro and Account Creation (Rachel Winter; pptx)
- Twitter
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- Assignments:
- Readings:
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- Readings:
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- Manovich, Lev. “Trending: The Promises and Challenges of Big Social Data.” Manovich.net, 2011, http://manovich.net/index.php/projects/trending-the-promises-and-the-challenges-of-big-social-data
- Blodgett, Bridget, and Anastasia Salter. “Ghostbusters is for Boys: Understanding Geek Masculinity’s Role in the Alt-Right.” Communication, Culture & Critique 11(2018): 133-146. doi: 10.1093/ccc/tcx003.
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- Materials:
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- Reddit
- Reddit Throwaway Account (Lauren Rouse; pptx)
- GitHub
- Installing Git + VS Code (Anastasia Salter; pdf)
- GitHub Tutorial (Anastasia Salter; pptx)
- GitHub as a Platform (Anastasia Salter; pptx)
- Git Demo (Anastasia Salter; mp4)
- Reddit
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- Assignments:
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- GitHub Repository Creation (Anastasia Salter; pdf)
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- Readings:
Module Two: Ethics of Digital Research
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- Readings:
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- franzke, aline shakti, Bechmann, Anja, Zimmer, Michael, Ess, Charles, and the Association of Internet Researchers. Internet research ethical guidelines 3.0. Aoir.org, 2020, https://aoir.org/reports/ethics3.pdf
- Bailey, Moya. “#transform(ing)DH Writing and Research: An Autoethnography of Digital Humanities and Feminist Ethics.” digital humanities quarterly 9, no. 2 (2015). http://www.digitalhumanities.org//dhq/vol/9/2/000209/000209.html
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- Materials:
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- Digital Ethics pt 1 (Catherine Knight Steele; mp4)
- Digital Ethics slides pt 1 (Catherine Knight Steele; pptx)
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- Assignments:
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- Discussion 3: Creating a Research Community (Catherine Knight Steele; pdf)
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- Readings:
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- Readings:
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- Spiro, Lisa. “‘This is why we fight’: Defining the Values of the Digital Humanities.” Debates in the Digital Humanities, edited by Matthew Gold, University of Minnesota Press, 2012, https://dhdebates.gc.cuny.edu/read/untitled-88c11800-9446-469b-a3be-3fdb36bfbd1e/section/9e014167-c688-43ab-8b12-0f6746095335
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- Materials:
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- Digital Ethics pt 2 (Catherine Knight Steele; mp4)
- Digital Ethics slides pt 2 (Catherine Knight Steele; pptx)
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- Assignments:
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- Discussion 4: Platform Literacy (Catherine Knight Steele; pdf)
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- Readings:
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- Readings:
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- Florini, Sarah. “Introduction.” Beyond Hashtags: Racial politics and Black Digital Networks, New York University, 2019, http://opensquare.nyupress.org/open-square-reader/cloud-reader/epub_content/9781479892464/ops/xhtml/florini-0007.xhtml#intro
- Florini, Sarah. “Methodological Appendix.” Beyond Hashtags: Racial politics and Black Digital Networks, New York University, 2019, http://opensquare.nyupress.org/open-square-reader/cloud-reader/epub_content/9781479892464/ops/xhtml/florini-0014.xhtml#meth_app
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- Materials:
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- Digital Ethics pt 3 (Catherine Knight Steele; mp4)
- Digital Ethics pt 4 (Catherine Knight Steele; mp4)
- Digital Ethics slides pt 3 and 4 (Catherine Knight Steele; pptx)
- IRB Process_slim(Bridget Blodgett; pptx)
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- Assignments:
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- Discussion 5: Best Practices (Catherine Knight Steele; pdf)
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- Readings:
Module Three: Digital Research Methods
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- Readings:
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- Baym, Nancy K “What Constitutes Quality in Qualitative Internet Research?” In Internet Inquiry: Conversations about Method, edited by Nancy K. Baym and Annette M. Markham, 173-189. Thousand Oaks: Sage, 2009.
- Baym, Nancy K., and Annette M. Markham (eds). “Introduction: Making Smart Choices on Shifting Ground.” In Internet Inquiry: Conversations about Method, vii-xix. Thousand Oaks: Sage, 2009.
- boyd, danah, and Kate Crawford. “Critical Questions for Big Data: Provocations for a Cultural, Technological and Scholarly Phenomenon.” Information, Communication & Society 15, no. 5 (2012): 662-79.
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- Materials:
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- NEH Data Tools (Anastasia Salter; mp4)
- Social Media Research Tools (Mel Stanfill; Google sheets)
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- Assignments:
- Readings:
3.2 Data Tools: Twitter and YouTube
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- Readings:
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- Driscoll, Kevin, and Shawn Walker. “Working Within a Black Box: Transparency in the Collection and Production of Big Twitter Data.” International Journal of Communication 8, (2014): 20.
- Jackson, Sarah J., and Brooke Foucault Welles. “Hijacking #myNYPD: Social Media Dissent and Networked Counterpublics.” Journal of Communication 65, no. 6 (2015): 932-52.
- Ahmed, Wasim, Peter Bath, and Gianluca Demartini. “Using Twitter as a Data Source: An Overview of Ethical, Legal, and Methodological Challenges.” In: The Ethics of Online Research: Advances in Research Ethics and Integrity (2), 79-107. Emerald, 2017. http://dx.doi.org/10.1108/S2398-601820180000002004
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- Materials:
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- Twitter
- TAGS Tutorial (Rachel Winter; pptx)
- Twitter Data Scraping Tutorial (Amy Giroux; pdf)
- Twitter Data Scraping Slideshow part 1 (Amy Giroux; pdf)
- Twitter Data Scraping Slideshow part 2(Amy Giroux; pdf)
- Gathering Twitter Data (Stephanie Vie; mp4)
- Advanced Twitter Data Collection (Mel Stanfill; mp4)
- YouTube
- Tools Tutorial: YouTube (Mel Stanfill; pdf)
- Twitter
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- Assignments:
- Readings:
3.3 Data Tools: Reddit and GitHub
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- Readings:
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- Brock, Andre. “Critical Technocultural Discourse Analysis.” New Media & Society 20, no. 3 (2018): 1012-30.
- Visconti, Amanda. “When they came down: Participating in crowdsourced documentation of racist statue removals.” Scholars’ Lab, 2020, https://scholarslab.lib.virginia.edu/blog/participating-in-statue-removal-history-crowdsourcing/
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- Materials:
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- Reddit
- Tools Tutorial: Reddit (Anastasia Salter; pdf)
- GitHub
- GitHub Research (Anastasia Salter; mp4)
- NEH GitHub Research Stage 1 (Anastasia Salter; mp4)
- NEH GitHub Research Stage 2 (Anastasia Salter; mp4)
- Python for Mac
- Introduction to Python for Macs (Lauren Rouse; mp4)
- Reddit
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- Assignments:
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- Reddit Scraping (Anastasia Salter; pdf)
- Advanced Data Scraping (Anastasia Salter; pdf)
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- Readings:
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- Readings:
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- Bénel, Aurélien and Christophe Lejeune, Christophe. “Humanities 2.0: Documents, Interpretation and Intersubjectivity in the Digital Age.” International Journal of Web Based Communities 5 (2019): 562-576.
- Drouin, Jeffrey. “Close- and Distant-Reading Modernism: Network Analysis, Text Mining, and Teaching the Little Review.” The Journal of Modern Periodical Studies:Special Issue Visualizing Periodical Networks 5, 1 (2014): 110-135.
- Gitelman, Lisa. “Introduction: Paper Knowledge.” In Paper Knowledge: Toward a Media History of Documents, 1-20. Duke UP, 2014.
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- Materials:
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- Document-Driven Research Methods (Louise Kane; mp4)
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- Assignments:
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- Document Driven Data Methods Task 1 (Louise Kane; pdf)
- Document Driven Data Methods Task 2 (Louise Kane; pdf)
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- Readings:
Module Four: Visualization/Analysis
4.1 Intro to Data Visualization
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- Readings:
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- Nantais, Joel. “Can You Tell Your Data Story?: A Simple Way to Improve your Data Science Project.” towards data science, 2020, https://towardsdatascience.com/can-you-tell-your-data-story-154417a33efb
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- Materials:
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- Data Visualization: Introduction (Bridget Blodgett; pptx)
- Data Visualization Demo (Bridget Blodgett; mp4)
- Additional Data Visualization Resources(Bridget Blodgett; pdf)
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- Assignments:
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- Discussion 7: Concept Map (Bridget Blodgett; pdf)
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- Readings:
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- Readings:
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- Sarker, Dipanjan. “A Comprehensive Guide to the Grammar of Graphics for Effective Visualization of Multi-Dimensional Data.” towards data science, 2018, https://towardsdatascience.com/a-comprehensive-guide-to-the-grammar-of-graphics-for-effective-visualization-of-multi-dimensional-1f92b4ed4149
- Brown, Nick. “Getting Into Data Visualization – Where Should I Start?” Medium.com, 2015. https://medium.com/datavisualization/where-should-i-start-c53acdf04a1c
- Colneric, Nick, and Janez Demsar. “Emotion Recognition on Twitter: Comparative Study and Training a Unison Model.” IEEE Transactions on Affective Computing. doi: 10.1109/TAFFC.2018.2807817
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- Materials:
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- Orange
- Orange Intro part 1(Amy Giroux; pdf)
- Orange Intro part 2(Amy Giroux; pdf)
- Intro to Orange Slideshow part 1 (Amy Giroux; pdf)
- Intro to Orange Slideshow part 2(Amy Giroux; pdf)
- Orange Workflow One Demonstration (Rachel Winter; mp4)
- Orange: Sentiment Analysis part 1 (Amy Giroux; pdf)
- Orange: Sentiment Analysis part 2 (Amy Giroux; pdf)
- Orange Workflow Two Demonstration (Rachel Winter; mp4)
- Orange
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- Assignments:
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- Discussion 8: Orange Homework (Amy Giroux; pdf)
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- Readings:
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- Readings:
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- Wickham, Hadley. “A Layered Grammar of Graphics.” American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America Journal of Computational and Graphical Statistics 19, no. 1 (2010): 3-28. doi: 10.1198/jcgs.2009.07098
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- Materials:
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- Gephi
- Gephi Installation Tutorial (Mel Stanfill; pptx)
- Gephi for Analysis pt 1: Basics (Mel Stanfill; mp4)
- Gephi for Analysis part 1 slides(Mel Stanfill; pptx)
- Gephi for Analysis pt II (Mel Stanfill; mp4)
- Gephi for Analysis part 2 slides (Mel Stanfill; pptx)
- Gephi for Analysis pt III (Mel Stanfill; mp4)
- Gephi for Analysis part 3 slides(Mel Stanfill; pptx)
- Gephi
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- Assignments:
- Readings:
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- Readings:
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- Pennington, Diane Rasmussen. “Coding of Non-Text Data.” In The SAGE Handbook of Social Media Research Methods, edited by Luke Sloan and Anabel Quan-Haase, 232-250. Thousand Oaks, CA: Sage Publications, 2016. https://dx.doi.org/10.4135/9781473983847.n15
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- Materials:
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- Twitter
- Analyzing Twitter Data (Stephanie Vie; mp4)
- Publishing with Twitter Data part 1 (Stephanie Vie; mp4)
- Publishing with Twitter Data part 2 (Stephanie Vie; mp4)
- Critical Discourse Analysis
- CDA Intro (Vie and deWinter; mp4)
- Applying Critical Discourse Analysis (Vie and deWinter; mp4)
- Tools for CDA and Visualization (Vie and deWinter; mp4)
- Twitter
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- Assignments:
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- Discussion 9: Visualization Tools (Vie and deWinter; pdf)
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- Readings:
Module Five: Bots
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- Readings:
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- Holmes, Steve and Rachael Graham Lussos. “Cultivating Metanoia in Twitter Publics: Analyzing and Producing Bots of Protest in the #GamerGate Controversy. Computers and Composition 48 (2018): 118-138. https://doi.org/10.1016/j.compcom.2018.03.010
- Sherratt, Tim. “Unremembering the Forgotten.” Debates in the Digital Humanities 2019, 2019. https://dhdebates.gc.cuny.edu/read/untitled-f2acf72c-a469-49d8-be35-67f9ac1e3a60/section/be608100-95b6-4e48-bfd5-a82a588da8f1
- Veale, Tony and Mike Cook. Twitterbots: Making Machines that Make Meaning. Cambridge, MA: MIT Press, 2018.
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- Materials:
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- Bot Creation Tutorial (Leo Flores; mp4)
- Tracery Workshop (Anastasia Salter; pdf)
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- Assignments:
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- Bot Creation (Leo Flores; pdf)
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- Readings:

