(With apologies for cross-posts...) Dear All, The Knowing Machines Team wanted to share a new resource that we think might be of interest to this group: *Critical Dataset Studies Reading List <https://knowingmachines.org/reading-list>** *[ https://knowingmachines.org/reading-list ] We've been using the list to reflect on the growing literature on Machine Learning datasets, work that many of you have been core to and creating for some time! We intend the list as a living resource for dataset scholars, students, and reflective practitioners -- a way to see connections among disciplines, traditions, and methods, and a way to reflect on how datasets construct worldviews and convene stakes. The list is organized into sections that we hope might be helpful to different perspectives and starting points (see TOC below), and it's very much inspired by the "Critical Algorithms Studies <https://socialmediacollective.org/reading-lists/critical-algorithm-studies/>" reading list that Tarleton Gillespie and Nick Seaver developed several years ago. Like all such lists, this one is never complete, very likely missing relevant items, and only improves through suggestions. We've created a submission form at the bottom of the list and warmly invite anyone to suggest a dataset-related resource that they think would be good to add. Finally, this list is very much a team accomplishment, growing out of the collective thoughtfulness of Franny Corry, Edward B. Kang, Hamsini Sridharan, Sasha Luccioni, Mike Ananny, and Kate Crawford -- and only possible because there is so much excellent work rapidly emerging from engaged interdisciplinary communities like this one. All best, -- Mike. *** /*Critical Dataset Studies Reading List - Table of Contents [July 2022]*/ 1. STARTING POINTS <https://knowingmachines.org/reading-list#starting_points> 2. CONTEXTUALIZING THE STUDY OF DATASETS <https://knowingmachines.org/reading-list#contextualizing_the_study_of_datasets> 3. PUBLIC SOURCES OF DATASETS <https://knowingmachines.org/reading-list#public_sources_of_datasets> 4. STUDYING DATASET PRODUCTION <https://knowingmachines.org/reading-list#studying_dataset_production> 5. ANALYSES OF TRAINING DATASETS <https://knowingmachines.org/reading-list#analyses_of_training_datasets> 6. RESPONSES TO DATASET PROBLEMS <https://knowingmachines.org/reading-list#responses_to_dataset_problems> 7. DATASET DOCUMENTATION PRACTICES <https://knowingmachines.org/reading-list#dataset_documentation_practices> 8. CONFERENCES FOCUSED ON DATASETS <https://knowingmachines.org/reading-list#conferences_focused_on_datasets> 9. PRESS TREATMENT OF DATASETS <https://knowingmachines.org/reading-list#press_treatment_of_datasets> *** -- *MIKE ANANNY** *+ /New articles/: 'Public': A pandemic diary of a future idea <https://items.ssrc.org/covid-19-and-the-social-sciences/society-after-pandemic/public-a-pandemic-diary-of-a-future-idea/> | Making Up Political People <https://georgetownlawtechreview.org/making-up-political-people-how-social-media-create-the-ideals-definitions-and-probabilities-of-political-speech/GLTR-07-2020/> | Anticipatory News Infrastructures <https://journals.sagepub.com/doi/abs/10.1177/1461444820914873?journalCode=nmsa> [with Megan Finn | preprint <https://osf.io/preprints/socarxiv/2jtns/>] + /Books/: Networked Press Freedom <https://mitpress.mit.edu/books/networked-press-freedom> [MIT Press] | Bauhaus Futures <https://mitpress.mit.edu/books/bauhaus-futures> [MIT Press, co-edited with Laura Forlano & Molly Wright Steenson] + /Faculty Co-director/: MASTS <https://www.uscmasts.org/> [Media as SocioTechnical Systems] + /Faculty Affiliate/: Center on Science, Technology, and Public Life <https://dornsife.usc.edu/stpl>, University of Southern California + /Associate Professor/, Annenberg School for Communication & Journalism <https://annenberg.usc.edu/>, University of Southern California + mike.ananny.org <http://mike.ananny.org/> | @ananny <https://twitter.com/ananny> | ananny@usc.edu