Course Calendar
Readings are due – meaning they should be completed – on the dates indicated. If readings are not linked on this page, they can be found in our class Google drive folder.
The most accurate and up-to-date version of this calendar can be found on our course site. Use the online calendar to check on reading assignments, rather than this print version, since the print version of this syllabus will not be updated throughout the semester.
I reserve the right to change the course calendar as needed; adequate advance notice will always be given of any changes.
Unit 1: What is data?
Week 1
Monday, Jan 25
- Introductions
Wednesday, Jan 27
- Lisa Gitelman and Virginia Jackson, “Introduction” from “Raw Data” is an Oxymoron (2013)
- Kate Crawford, “The Hidden Biases in Big Data,” Harvard Business Review (April 1, 2013), https://hbr.org/2013/04/the-hidden-biases-in-big-data
Week 2
Monday, Feb 1
- Daniel Rosenberg, “Data Before the Fact,” from “Raw Data” is an Oxymoron (2013)
Wednesday, Feb 3
- Lauren Klein and Catherine D’Ignazio, “What Gets Counted Counts,” Data Feminism (2020), https://data-feminism.mitpress.mit.edu/pub/h1w0nbqp/release/2
Friday, Feb 5
- Response paper 1 due
Week 3
Monday, Feb 8
- Jacqueline Wernimont, Ch 2 “Counting the Dead,” Numbered Lives: Life and Death in Quantum Media (2018)
Wednesday, Feb 10
- Jessica Marie Johnson, “Markup Bodies: Black [Life] Studies and Slavery [Death] Studies at the Digital Crossroads,” Social Text 36.4 137 (2018): 57-79
Friday, Feb 12
- Response paper 2 due
Unit 2: How do you create data and how can you use it to study culture?
Week 4
Monday, Feb 15
- “What is Data?”, University of Minnesota Libraries, https://www.lib.umn.edu/datamanagement/whatdata?\ (skim)
- Jenn Riley, NISO, “Understanding Metadata,” pgs 1-18, https://groups.niso.org/apps/group_public/download.php/17446/Understanding%20Metadata.pdf
- Explore Slave Voyages, https://www.slavevoyages.org/
- Read David Eltis, “Trans-Atlantic Slave Trade – Understanding the Database”:
- Introduction, https://www.slavevoyages.org/voyage/about#methodology/introduction/0/en/
- Coverage of the Slave Trade, https://www.slavevoyages.org/voyage/about#methodology/coverage-of-the-slave-trade/1/en/
- Nature of Sources, https://www.slavevoyages.org/voyage/about#methodology/nature-of-sources/2/en/
- Cases and Variables, https://www.slavevoyages.org/voyage/about#methodology/cases-and-variables/3/en/
- Data Variables, https://www.slavevoyages.org/voyage/about#methodology/data-variables/4/en/
- Age Categories, https://www.slavevoyages.org/voyage/about#methodology/age-categories/5/en/
- Dates, https://www.slavevoyages.org/voyage/about#methodology/dates/6/en/
- Names, https://www.slavevoyages.org/voyage/about#methodology/names/7/en/
- Skim the rest of this essay
- Familiarize yourself with the Trans-Atlantic Slave Trade section of the website: explore the maps, glance through the essays, look at the timeline and chronology section, etc
- Read David Eltis, “Trans-Atlantic Slave Trade – Understanding the Database”:
Wednesday, Feb 17
- Heather Krause, “Data Biographies: Getting to Know Your Data,” March 27, 2017, https://gijn.org/2017/03/27/data-biographies-getting-to-know-your-data/
- Recommended: Watch the video toward the end of the post.
- Hannah Anderson and Matt Daniels, “Film Dialogue from 2,000 screenplays, Broken Down by Gender and Age,” The Pudding, April 2016, https://pudding.cool/2017/03/film-dialogue/
- Please read the FAQ document as well.
Friday, Feb 19
- Response paper 3 due
Week 5
Monday, Feb 22
- Emily Dreyfuss, “‘ICE is Everywhere’: Using Library Science to Map the Separation Crisis,” Wired, June 25, 2018, https://www.wired.com/story/ice-is-everywhere-using-library-science-to-map-child-separation/
- Explore Mobilized Humanities, Torn Apart / Separados:
- Vol 1: https://xpmethod.columbia.edu/torn-apart/volume/1/
- Read vol 1 “Textures”: http://xpmethod.columbia.edu/torn-apart/volume/1/textures.html
- Familiarize yourself with the vol 1 visualizations: What do they depict? What data sources do they make use of?
- Skim the vol 1 “Reflections:” https://xpmethod.columbia.edu/torn-apart/volume/1/reflections.html. How are they related to the data visualizations?
- Vol 2: https://xpmethod.columbia.edu/torn-apart/volume/2/
- Read vol 2 “Textures”: http://xpmethod.columbia.edu/torn-apart/volume/2/textures.html
- Familiarize yourself with the vol 2 visualizations: What do they depict? What data sources do they make use of?
- Skim the vol 2 “Reflections:” http://xpmethod.columbia.edu/torn-apart/volume/2/reflections.html. How are they related to the data visualizations?
- Data for both volumes is here: https://github.com/xpmethod/torn-apart-open-data
- Vol 1: https://xpmethod.columbia.edu/torn-apart/volume/1/
Wednesday, Feb 24
- In class: Dataset biography workshop
- “Rough draft” of dataset biography due
Friday, Feb 26
- Dataset analysis due
Week 6
Monday, March 1
- Kate Theimer, “Archives in Context and As Context,” Journal of Digital Humanities 1.2 (2012), http://journalofdigitalhumanities.org/1-2/archives-in-context-and-as-context-by-kate-theimer/
- Women Writer’s Project: https://wwp.northeastern.edu/
- Read about their Current Texts: https://wwp.northeastern.edu/wwo/texts/
- Read Methodology for Transcription and Editing: https://wwp.northeastern.edu/about/methods/editorial_principles.html
- This page will give you a sense of what is in the archive and the decisions the creators have made about how and what to preserve. It may be most helpful to read this after exploring the archive on your own (see next bullet point) so that you have a sense of what it means to “encode” a text (in XML).
- Explore some of the texts themselves. However, you need to sign in to this website via our library to access the transcriptions. To do this:
- Go to https://www.library.miami.edu/
- Scroll down to the “Databases A-Z” section and select “W”.
- Scroll down until you see “Women Writers Online,” and click on that.
- At this point, if you aren’t on campus or signed in already, you will need to sign in with your CaneID and password.
- Then you will be taken to the WWO website, and you will have access to the texts.
- Click on the “Women Writers Online” menu, and select “Women Writers Online.”
- Explore their holdings. Get a feel for the kinds of things in the archive, how the interface is organized, what you are looking at when you look at a text, etc
Wednesday, March 3 – “Wellness Wednesday,” NO CLASS
Week 7
Monday, March 8
- Laura B. McGrath, “Comping White,” Los Angeles Review of Books, January 21, 2019, https://lareviewofbooks.org/article/comping-white/
- Alexander Manshel, Laura B. McGrath, and J. D. Porter, “Who Cares About Literary Prizes?”, Public Books, September 3, 2019, https://www.publicbooks.org/who-cares-about-literary-prizes/
Wednesday, March 10
- Hanna Wallach, “Big Data, Machine Learning, and the Social Sciences,” Medium (2014), https://medium.com/@hannawallach/big-data-machine-learning-and-the-social-sciences-927a8e20460d
Friday, March 12
- Response paper 4 due
Unit 3: How does data matter?
Week 8
Monday, March 15
- Tarleton Gillespie “Algorithm,” from Digital Keywords: A Vocabulary of Information Society and Culture (2016)
- Kate Crawford and Vladan Joler, “Anatomy of an AI System” (2018), https://anatomyof.ai/
Wednesday, March 17
- Dataset creation workshop
Friday, March 19
- Dataset creation due
Week 9
Monday, March 22
- Safiya Noble, “Introduction: The Power of Algorithms,” and Ch. 1 “A Society, Searching,” from Algorithms of Oppression (2018)
Wednesday, March 24
- Safiya Noble, Ch. 2, “Searching for Black Girls,” Algorithms of Oppression (2018)
Week 10
Monday, March 29
- Alex Rosenblat, Tamara Kneese, and danah boy, “Algorithmic Accountability,” Workshop for The Social, Cultural, and Ethical Dimensions of “Big Data,” (2014)
- Nicholas Diakopoulos, “Algorithmic Accountability: Journalistic Investigation of Computational Power Structures,” Digital Journalism (2014)
Wednesday, March 31
- Christian Sandvig, Kevin Hamilton, Karrie Karahalios, and Cedric Langbort, “Auditing Algorithms: Research Methods for Detecting Discrimination on Internet Platforms” (2014)
Week 11
Monday, April 5
- Terry Nguyen, “How social justice slideshows took over Instagram,” Vox, August 12, 2020, https://www.vox.com/the-goods/21359098/social-justice-slideshows-instagram-activism
- “How TikTok recommends videos #ForYou,” TikTok Newsroom, June 18, 2020, https://newsroom.tiktok.com/en-us/how-tiktok-recommends-videos-for-you
- Charlie Warzel, “What Facebook Fed the Baby Boomers,” New York Times, November 24, 20201, https://www.nytimes.com/2020/11/24/opinion/facebook-disinformation-boomers.html?smid=fb-nytopinion&smtyp=cur
Wednesday, April 7: CLASS CANCELLED
- The below reading is now recommended, not required:
- Rebecca Heilweil, “Right-wing media thrives on Facebook. Whether it rules is more complicated,” Vox, September 9, 2020, https://www.vox.com/recode/21419328/facebook-conservative-bias-right-wing-crowdtangle-election
- Simon Shuster and Billy Perrigo, “Like, Share, Recruit: How a White-Supremacist Militia Uses Facebook to Radicalize and Train New Members,” TIME, Jan 7, 2021, https://time.com/5926750/azov-far-right-movement-facebook/
Week 12
Monday, April 12
- Joy Buolamwini “Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification,” The Conference on Fairness, Accountability, and Transparency, March 2018, https://www.youtube.com/watch?v=Af2VmR-iGkY (please watch the Q & A, as well)
- Georgetown Law, Center on Privacy and Technology, “The Perpetual Line-Up: Unregulated Police Face Recognition in America,” https://www.perpetuallineup.org/, read “Executive Summary”
Tuesday, April 13
- Algorithm audit plan part 1 due
Wednesday, April 14 – “Wellness Wednesday,” NO CLASS
Week 13
Monday, April 19
- Workshop
Wednesday, April 21
- Workshop
Week 14
Monday, April 26
- Algorithm audit plan part 2 due by class
- Workshop
Wednesday, April 28
- Wrap-up
Algorithm audit due Wednesday, May 5