Hi there, you found me on TikTok.

It’s me, @professorcasey. Credentials: I’m an assistant professor in information science. PhD/JD. I research and teach in the areas of technology ethics and governance, online communities/social media, and transformative fandom.

casey.fiesler@colorado.edu

most recent videos

RESEARCH RECRUITMENT!! study about content moderation on TikTok

Tiktok & extreme content: WSJ investigation video | Chancellor et al. #thyghgapp: Instagram content moderation and lexical variation in pro-eating disorder communities. CSCW 2016. | Ribeiro et al. Auditing radicalization pathways on YouTube. FaaCT 2020. | The Making of a YouTube Radical (NYT) | YouTube’s Plot to Silence Conspiracy Theories (WIRED)

interview w/ me in MIT Technology Review about TikTok!: Welcome to TikTok’s endless cycle of censorship and mistakes

commonly referenced stuff

advice for PhD applicants (YouTube playlist) – note that my advice is likely most helpful for (a) lab-based disciplines, e.g. STEM and social science; and (b) PhD programs in the U.S., but some is broadly applicable!

TikTok-based Online Communities class
the 60-second at a time version of my class – read/watch along!

List of books about tech ethics & social impact

my favorite book rec video: with thanks to penelope scott

Algorithms of Oppression (Safiya Noble); The Age of Surveillance Capitalism (Shoshana Zuboff); Race After Technology (Ruha Benjamin); Weapons of Math Destruction (Cathy O’Neil); Automating Inequality (Virginia Eubanks); Technically Wrong (Sara Wachter-Boettcher; Ghost Work (Mary Gray & Siddharth Suri); Design Justice (Sasha Constanza-Chock); Data Feminism (Catherine D’Ignazio & Lauren Klein); Custodians of the Internet (Tarleton Gillespie); Antisocial Media (Siva Vaidhyanathan); Black Software (Charlton D. McIlwain); Behind the Screen (Sarah Roberts); Invisible Women (Caroline Criado Perez); Programmed Inequality (Mar Hicks); This Is Why We Can’t Have Nice Things (Whitney Phillips); Calling Bullshit (Carl Bergstrom & Jevin West); The Charisma Machine (Morgan Ames); The Black Box Society (Frank Pasquale); Intersectional Tech (Kishoanna Gray); Artificial Unintelligence (Meredith Broussard); Coding Freedom (Gabriella Colman); Hello World (Hannah Frye); Atlas of AI (Kate Crawford); Silicon Values (Jillian York); Your Computer is On Fire (eds. Thomas S. Mullaney, Benjamin Peters, Mar Hicks, Kavita Philip)

List of science fiction to make you think about ethics

book rec video with thanks to The Stupendium

Autonomous (Annalee Newitz), Axiom’s End (Lindsay Ellis), Rosewater (Tade Thompson), Little Brother (Cory Doctorow), Oryx and Crake (Margaret Atwood), After On (Rob Reid), Binti (Nnedi Okorafor), Ready Player One (Ernest Cline), Nexus (Ramez Naam), The Three-Body Problem (Cixin Liu), Warcross (Marie Lu), Ancillary Justice (Ann Leckie), All Systems Red (Martha Wells), War Girls (Tochi Onyebuchi), The Circle (David Eggers), Infomocracy (Malka Older), Snow Crash (Neal Stephenson), Jurassic Park (Michael Crichton), A Beautifully Foolish Endeavor (Hank Green)

sources and info for older videos

AI, Algorithms & Bias

bias in healthcare algorithms: A hospital algorithm designed to predict a deadly condition misses most cases (The Verge) | Obermeyer, Ziad, Brian Powers, Christine Vogeli, and Sendhil Mullainathan. “Dissecting racial bias in an algorithm used to manage the health of populations.” Science 366, no. 6464 (2019): 447-453. | Millions of black people affected by racial bias in health-care algorithms (Nature)

bias in content moderation: Beyond a technical bug: Biased algorithms and moderation are censoring activists on social media (The Conversation) | Sap, Maarten, Dallas Card, Saadia Gabriel, Yejin Choi, and Noah A. Smith. “The risk of racial bias in hate speech detection.” In Proceedings of the 57th annual meeting of the association for computational linguistics, pp. 1668-1678. 2019.

Inadvertent Algorithmic Cruelty by Eric Meyer | Pinter, Anthony T., Jialun Aaron Jiang, Katie Z. Gach, Melanie M. Sidwell, James E. Dykes, and Jed R. Brubaker. “Am I Never Going to Be Free of All This Crap?” Upsetting Encounters with Algorithmically Curated Content About Ex-Partners. Proceedings of the ACM on Human-Computer Interaction 3, no. CSCW (2019): 1-23.

Sharing learnings about our image cropping algorithm (Twitter) | Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency by Yee et al. | Twitter says its image-cropping algorithm was biased, so it’s ditching it (CNN)

Black homeowner had a white friend stand in for third appraisal. Her home value doubled (South Bend Tribune) | Black Homeowners Face Discrimination in Appraisals (NY Times) | Why a proposed HUD rule could worsen algorithm-driven housing discrimination (Brookings) | EFF to HUD: Algorithms Are No Excuse for Discrimination

Machine Bias: Risk Assessments in Criminal Sentencing (ProPublica)

Dressel, Julia, and Hany Farid. “The accuracy, fairness, and limits of predicting recidivism.” Science advances 4, no. 1 (2018): eaao5580.

Washington, Anne L. “How to argue with an algorithm: Lessons from the COMPAS-ProPublica debate.” Colo. Tech. LJ 17 (2018): 131.

Kahn, Kimberly Barsamian, and Karin D. Martin. “The Social Psychology of Racially Biased Policing: Evidence-Based Policy Responses.” Policy Insights from the Behavioral and Brain Sciences 7, no. 2 (2020): 107-114.

The Apple Card Didn’t ‘See’ Gender—and That’s the Problem (WIRED)

Williams, Betsy Anne, Catherine F. Brooks, and Yotam Shmargad. “How algorithms discriminate based on data they lack: Challenges, solutions, and policy implications.” Journal of Information Policy 8 (2018): 78-115.

Companies are on the hook if their hiring algorithms are biased (Quartz) | Amazon scraps secret AI recruiting tool that showed bias against women (Reuters)

All the Ways Hiring Algorithms Can Introduce Bias (Harvard Business Review) – based on Help Wanted: An Examination of Hiring Algorithms, Equity, and Bias

Raghavan, Manish, Solon Barocas, Jon Kleinberg, and Karen Levy. “Mitigating bias in algorithmic hiring: Evaluating claims and practices.” In Proceedings of the 2020 conference on fairness, accountability, and transparency, pp. 469-481. 2020.

Bertrand, Marianne, and Sendhil Mullainathan. “Are Emily and Greg more employable than Lakisha and Jamal? A field experiment on labor market discrimination.” American economic review 94, no. 4 (2004): 991-1013. [And here’s a simplified explainer.]

Quillian, Lincoln, Devah Pager, Ole Hexel, and Arnfinn H. Midtbøen. “Meta-analysis of field experiments shows no change in racial discrimination in hiring over time.” Proceedings of the National Academy of Sciences 114, no. 41 (2017): 10870-10875.

Buolamwini, Joy, and Timnit Gebru. “Gender shades: Intersectional accuracy disparities in commercial gender classification.” In Conference on fairness, accountability and transparency, pp. 77-91. PMLR, 2018.

Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases (FaaCT 2021) [Press: What a picture of Alexandria Ocasio-Cortez in a bikini tells us about the disturbing future of AI (The Guardian)]

Privacy

Kokolakis, Spyros. “Privacy attitudes and privacy behaviour: A review of current research on the privacy paradox phenomenon.” Computers & security 64 (2017): 122-134. | Carrascal, Juan Pablo, Christopher Riederer, Vijay Erramilli, Mauro Cherubini, and Rodrigo de Oliveira. “Your browsing behavior for a big mac: Economics of personal information online.” In Proceedings of the 22nd international conference on World Wide Web, pp. 189-200. 2013. | Shklovski, Irina, Scott D. Mainwaring, Halla Hrund Skúladóttir, and Höskuldur Borgthorsson. “Leakiness and creepiness in app space: Perceptions of privacy and mobile app use.” In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2347-2356. 2014. | Fiesler, Casey, and Blake Hallinan. “” We Are the Product” Public Reactions to Online Data Sharing and Privacy Controversies in the Media.” In Proceedings of the 2018 CHI conference on human factors in computing systems, pp. 1-13. 2018.

McDonald, Aleecia M., and Lorrie Faith Cranor. “The cost of reading privacy policies.” Isjlp 4 (2008): 543. (NPR article) | Fiesler, Casey, Cliff Lampe, and Amy S. Bruckman. “Reality and perception of copyright terms of service for online content creation.” Proceedings of the ACM conference on computer-supported cooperative work & social computing. 2016. | Obar, Jonathan A., and Anne Oeldorf-Hirsch. “The biggest lie on the internet: Ignoring the privacy policies and terms of service policies of social networking services.” Information, Communication & Society 23.1 (2020): 128-147.

List of novels about video games

Warcross (Marie Lu), Don’t Read the Comments (Eric Smith), Slay (Brittney Morris), For the Win (Cory Doctorow), Reamde (Neal Stephenson), Dragon Ops (Mari Mancusi), Ready Player One (Ernest Cline)

List of science fiction to make you think about ethics

Where did women in CS go?

VIDEOS: one | two | three

Digest of Education Statistics (1970 – 2010)

2019 Taulbee Survey on undergrad CS enrollment

Dolls Who Code (Slate) – op ed by me that includes the graph in the video

Unlocking the Clubhouse: Women in Computing by Jane Margolis and Allan Fisher

The Secret History of Women in Coding (New York Times)

accessibility and captioning

VIDEO: the research case for captions

Shiver, Brent N., and Rosalee J. Wolfe. “Evaluating alternatives for better deaf accessibility to selected web-based multimedia.” In Proceedings of the 17th international ACM SIGACCESS conference on computers & accessibility, pp. 231-238. 2015.

Gernsbacher, Morton Ann. “Video captions benefit everyone.” Policy insights from the behavioral and brain sciences 2, no. 1 (2015): 195-202.

Henry, Shawn Lawton, Shadi Abou-Zahra, and Judy Brewer. “The role of accessibility in a universal web.” In Proceedings of the 11th Web for all Conference, pp. 1-4. 2014.