Full Bibliography

Finally, this is my bibliography listing all of my used sources! I used a combination of popular sources, scholarly sources, etc. throughout my writings. Does not include my annotations.

Works Cited

About Us. Freedom House. https://freedomhouse.org/about-us. Accessed 8 Nov. 2021.

About Us. National Eating Disorders Association (NEDA). https://www.nationaleatingdisorders.org/about-us. Accessed 8 Nov. 2021.

About Us. The Clay Center for Young Healthy Minds at Massachusetts General Hospital. https://www.mghclaycenter.org/about-us/center-goals/. Accessed 8 Nov. 2021.

About. Fight for the Future. https://www.fightforthefuture.org/about. Accessed 8 Nov. 2021.

Conger, Kate, et al. "Eating Disorders and Social Media Prove Difficult to Untangle." The New York Times, 22 October 2021, https://www.nytimes.com/2021/10/22/technology/social-media-eating-disorders.html. Accessed 8 November 2021.

Fazelpour, Sina and David Danks. “Algorithmic bias: Senses, sources, solutions.” Philosophy Compass, vol. 16, no. 8, 2021, pp. 1-16, https://doi.org/10.1111/phc3.12760. Accessed 15 Nov. 2021.

Newton, Casey. "The Trauma Floor." The Verge, 25 Feb. 2019, https://www.theverge.com/2019/2/25/18229714/cognizant-facebook-content-moderator-interviews-trauma-working-conditions-arizona. Accessed 5 December 2021.

Oremus, Will. "Lawmakers’ latest idea to fix Facebook: Regulate the algorithm." The Washington Post, 12 October 2021, www.washingtonpost.com/technology/2021/10/12/congress-regulate-facebook-algorithm. Accessed 8 November 2021.

"Senator Markey, Rep. Matsui Introduce Legislation to Combat Harmful Algorithms and Create New Online Transparency Regime." Ed Markey United States Senator for Massachusetts, 27 May 2021, https://www.markey.senate.gov/news/press-releases/senator-markey-rep-matsui-introduce-legislation-to-combat-harmful-algorithms-and-create-new-online-transparency-regime. Accessed 5 December 2021.

Strauß, Stefan. “Deep Automation Bias: How to Tackle a Wicked Problem of AI?” Big Data and Cognitive Computing, vol. 5, no. 2, pp. 1-14, https://doi.org/10.3390/bdcc5020018. Accessed 15 Nov. 2021.

The Program on Platform Regulation. Stanford Cyber Policy Center. https://cyber.fsi.stanford.edu/content/program-platform-regulation. Accessed 8 Nov. 2021.

"Thune, Colleagues Reintroduce Bipartisan Bill to Increase Internet Platform Transparency." John Thune U.S. Senator for South Dakota, 10 June 2021, https://www.thune.senate.gov/public/index.cfm/press-releases?ID=0CA78D6E-C0A8-4BDB-9AA9-1900238810E5. Accessed 5 December 2021.

"What is Net Neutrality?" ACLU, December 2017, https://www.aclu.org/issues/free-speech/internet-speech/what-net-neutrality. Accessed 30 November 2021.

Bivens, Rena. "The gender binary will not be deprogrammed: Ten years of coding gender on Facebook." New Media & Society, vol. 19, no. 6, 2017, pp. 880-898. SAGE Publishing, https://journals.sagepub.com/doi/10.1177/1461444815621527.

Fox, Chris. “TikTok admits restricting some LGBT hashtags.” BBC, 10 Sep. 2021, www.bbc.com/news/technology-54102575. Accessed 13 October 2021.

Gerrard, Ysabel and Helen Thornham. "Content moderation: Social media’s sexist assemblages." New Media & Society, vol. 27, no. 7, 2020, pp. 1266-1286. SAGE Publishing, https://journals.sagepub.com/doi/10.1177/1461444820912540.

Gutierrez, Miren, et al. “New Feminist Studies in Audiovisual Industries: Feminism, Gender, Ageism, and New Masculinities in Audiovisual Content.” International Journal of Communication, vol. 15, 2021, pp. 407-415. 

Lambrecht, Anja and Catherine Tucker. "Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads." Management Science, vol. 65, no. 7, July 2019, pp. 2966-2981. INFORMS, https://doi.org/10.1287/mnsc.2018.30.

Levesque, Brody. “Instagram’s anti-LGBTQ trolls use algorithms & zap gay influencers.” Washington Blade, 30 Dec. 2020, www.washingtonblade.com/2020/12/30/instagrams-anti-lgbtq-trolls-use-algorithms-zap-gay-influencers/. Accessed 13 October 2021.

Nakamura, Lisa. Cybertypes: Race, Ethnicity, and Identity on the Internet. 1st ed., Routledge, 2002. 

Samuel, Sigal. “Some AI just shouldn’t exist: Attempts to “fix” biased AI can actually harm black, gay, and transgender people.” Vox, 19 Apr. 2019, www.vox.com/future-perfect/2019/4/19/18412674/ai-bias-facial-recognition-black-gay-transgender. Accessed 13 October 2021.

Schroeder, Jonathan E. “Reinscribing gender: social media, algorithms, bias.” Journal of Marketing Management, vol. 37, no. 3-4, 2021, pp. 376-378. Taylor & Francis, https://doi.org/10.1080/0267257X.2020.1832378.

Wareham, Jamie. “Why Artificial Intelligence Is Set Up To Fail LGBTQ People.” Forbes, 21 Mar. 2021, www.forbes.com/sites/jamiewareham/2021/03/21/why-artificial-intelligence-will-always-fail-lgbtq-people/. Accessed 13 October 2021.

Wang, Yilun, and Michal Kosinski. “Deep Neural Networks Are More Accurate Than Humans at Detecting Sexual Orientation from Facial Images.” PsyArXiv, 2017, https://doi.org/10.1037/pspa0000098.