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  1. Last 7 days
  2. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. 8.9. Bibliography# [h1] Web tracking. October 2023. Page Version ID: 1181294364. URL: https://en.wikipedia.org/w/index.php?title=Web_tracking&oldid=1181294364 (visited on 2023-12-05). [h2] Kurt Wagner. This is how Facebook collects data on you even if you don’t have an account. Vox, April 2018. URL: https://www.vox.com/2018/4/20/17254312/facebook-shadow-profiles-data-collection-non-users-mark-zuckerberg (visited on 2023-12-05). [h3] API. November 2023. Page Version ID: 1187436026. URL: https://en.wikipedia.org/w/index.php?title=API&oldid=1187436026 (visited on 2023-12-05). [h4] Ilya (Marshal) Siamionau. Getting Started: The AT Protocol SDK. 2024. URL: https://atproto.blue/readme.html (visited on 2025-04-03). [h5] Ilya (Marshal) Siamionau. Client - atproto. 2024. URL: https://atproto.blue/atproto_client/client.html (visited on 2025-04-03). [h6] Atproto/examples at main · MarshalX/atproto. 2025. URL: MarshalX/atproto (visited on 2025-04-03). [h7] AT Protocol. 2025. URL: https://atproto.com/ (visited on 2025-04-03). [h8] Everything Everywhere All at Once. December 2023. Page Version ID: 1188074672. URL: https://en.wikipedia.org/w/index.php?title=Everything_Everywhere_All_at_Once&oldid=1188074672 (visited on 2023-12-05). [h9] Jordan Pearson. Your Friends’ Online Connections Can Reveal Your Sexual Orientation. Vice, September 2014. URL: https://www.vice.com/en/article/gvydky/your-friends-online-connections-can-reveal-your-sexual-orientation (visited on 2023-12-05). [h10] Catherine Stinson. The Dark Past of Algorithms That Associate Appearance and Criminality. American Scientist, January 2021. URL: https://www.americanscientist.org/article/the-dark-past-of-algorithms-that-associate-appearance-and-criminality (visited on 2023-12-05). [h11] Greg Miller. Researchers are tracking another pandemic, too—of coronavirus misinformation. Science, March 2020. URL: https://www.science.org/content/article/researchers-are-tracking-another-epidemic-too-misinformation (visited on 2023-12-05). [h12] eleanor [@zornsllama]. Blue line: daily COVID cases in the USA red line: bad reviews of Yankee Candles on Amazon saying "they don't have any scent" sources: google and https://t.co/oZm6ro0E1S. December 2021. URL: https://twitter.com/zornsllama/status/1473575508784955394 (visited on 2023-12-05). [h13] Spurious relationship. November 2023. Page Version ID: 1184161183. URL: https://en.wikipedia.org/w/index.php?title=Spurious_relationship&oldid=1184161183 (visited on 2023-12-05). [h14] Tyler Vigen. Spurious correlations. November 2023. URL: http://tylervigen.com/spurious-correlations (visited on 2023-12-05). [h15] ABC News: 538. 2023. URL: https://abcnews.go.com/538 (visited on 2023-12-05). [h16] FiveThirtyEight. 2023. URL: https://projects.fivethirtyeight.com/p-hacking/ (visited on 2023-12-05). [h17] Christie Aschwanden. Science Isn’t Broken. FiveThirtyEight, August 2015. URL: https://fivethirtyeight.com/features/science-isnt-broken/ (visited on 2023-12-05). [h18] Dan Sabbagh. Trump 2016 campaign 'targeted 3.5m black Americans to deter them from voting'. The Guardian, September 2020. URL: https://www.theguardian.com/us-news/2020/sep/28/trump-2016-campaign-targeted-35m-black-americans-to-deter-them-from-voting (visited on 2023-12-05). [h19] Marie C. Baca. Housing companies used Facebook’s ad system to discriminate against older people, according to new human rights complaints. Washington Post, September 2020. URL: https://www.washingtonpost.com/technology/2019/09/18/housing-companies-used-facebooks-ad-system-discriminate-against-older-people-according-new-human-rights-charges/ (visited on 2023-12-05). [h20] Nicole Nguyen. Here's Who Facebook Thinks You Really Are. September 2016. Section: Tech. URL: https://www.buzzfeednews.com/article/nicolenguyen/facebook-ad-preferences-pretty-accurate-tbh (visited on 2024-01-30). [h21] Lindsey Murray. Here's How to Find Out Everything Facebook Knows About You. May 2017. Section: Life. URL: https://www.goodhousekeeping.com/life/news/a44016/facebook-privacy-ad-settings/ (visited on 2024-01-30). [h22] Rafi Letzter. A teenager on TikTok disrupted thousands of scientific studies with a single video. The Verge, September 2021. URL: https://www.theverge.com/2021/9/24/22688278/tiktok-science-study-survey-prolific (visited on 2023-12-05). [h23] Lauren Leffer. CNET Is Reviewing the Accuracy of All Its AI-Written Articles After Multiple Major Corrections. Gizmodo, January 2023. URL: https://gizmodo.com/cnet-ai-chatgpt-news-robot-1849996151 (visited on 2023-12-05). [h24] Why can't I use Artificial Intelligence tools to generate answers? - Help Center. 2023. URL: https://stackoverflow.com/help/ai-policy (visited on 2023-12-08). [h25] Samantha Cole. People Are Spamming Kellogg’s Job Applications in Solidarity with Striking Workers. Vice, December 2021. URL: https://www.vice.com/en/article/v7dvy9/spamming-kelloggs-job-applications-strike (visited on 2023-12-05). [h26] Antiwork: Unemployment for all, not just the rich! 2023. URL: https://www.reddit.com/r/antiwork/ (visited on 2023-12-05). [h27] Karen Hao. How to poison the data that Big Tech uses to surveil you. MIT Technology Review, March 2021. URL: https://www.technologyreview.com/2021/03/05/1020376/resist-big-tech-surveillance-data/ (visited on 2023-12-05).

      I looked at the Vox article by Kurt Wagner, “This is how Facebook collects data on you even if you don’t have an account.” I found it pretty shocking that Facebook can still track people who never even signed up. The article explains that Facebook builds what they call “shadow profiles” using data from other websites and users who do have accounts. It really made me think about how hard it is to stay completely private online — even if you try to avoid social media, your info can still end up being collected. It connects to this chapter’s point about how data gives companies power, because it shows how they can gather information on almost anyone, whether you consented or not.

    1. Social Media platforms use the data they collect on users and infer about users to increase their power and increase their profits. One of the main goals of social media sites is to increase the time users are spending on their social media sites. The more time users spend, the more money the site can get from ads, and also the more power and influence those social media sites have over those users. So social media sites use the data they collect to try and figure out what keeps people using their site, and what can they do to convince those users they need to open it again later. Social media sites then make their money by selling targeted advertising, meaning selling ads to specific groups of people with specific interests. So, for example, if you are selling spider stuffed animal toys, most people might not be interested, but if you could find the people who want those toys and only show your ads to them, your advertising campaign might be successful, and those users might be happy to find out about your stuffed animal toys. But targeting advertising can be used in less ethical ways, such as targeting gambling ads at children, or at users who are addicted to gambling, or the 2016 Trump campaign ‘target[ing] 3.5m black Americans to deter them from voting’ [h18].

      Honestly, it’s kind of wild how social media uses our data to keep us hooked. I get how targeted ads can be helpful sometimes, like showing you stuff you might actually want, but it also feels manipulative. The part that stood out to me most is how they use data to figure out what keeps people on the app longer—it’s like they’re studying us just to make sure we don’t stop scrolling. I’ve definitely noticed that when I like one type of video, suddenly my feed is full of that topic, and it’s super easy to waste time without realizing it. It makes me wonder how much control we really have over what we see online.

  3. Oct 2025
  4. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. Sasha Costanza-Chock. Design Justice : Community-Led Practices to Build the Worlds We Need. The MIT Press, 2020. ISBN 978-0-262-35686-2 978-0-262-04345-8. URL: https://directory.doabooks.org/handle/20.500.12854/78577 (visited on 2023-12-15), doi:10.7551/mitpress/12255.001.0001.

      This book really made me think about how decisions in urban planning and design—like gentrification in neighborhoods such as Fremont—can unintentionally harm some communities while benefiting others. It connects to what I’m researching because it highlights the importance of including local residents in decisions that affect their daily lives. Personally, it made me wonder: how often do city planners truly consider the voices of long-term residents when approving new developments, and could applying design justice principles help reduce negative population health outcomes like stress and displacement?

    1. Think for a minute about consequentialism. On this view, we should do whatever results in the best outcomes for the most people. One of the classic forms of this approach is utilitarianism, which says we should do whatever maximizes ‘utility’ for most people. Confusingly, ‘utility’ in this case does not refer to usefulness, but to a sort of combo of happiness and wellbeing. When a utilitarian tries to decide how to act, they take stock of all the probable outcomes, and what sort of ‘utility’ or happiness will be brought about for all parties involved. This process is sometimes referred to by philosophers as ‘utility calculus’. When I am trying to calculate the expected net utility gain from a projected set of actions, I am engaging in ‘utility calculus’ (or, in normal words, utility calculations).

      Reading about gentrification and changing demographics in Fremont made me think about consequentialism, specifically utilitarianism. Cities often justify redevelopment projects by claiming they create the greatest good for the most people—new businesses, higher tax revenue, and improved infrastructure. But from a utilitarian perspective, is the net happiness really maximized if long-term residents are displaced or priced out? Personally, it makes me question how we measure “well-being” in these situations and whether city planners are truly considering the outcomes for all community members, not just newcomers or investors.

  5. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. Sean Cole. Inside the weird, shady world of click farms. January 2024. URL: https://www.huckmag.com/article/inside-the-weird-shady-world-of-click-farms (visited on 2024-03-07).

      I read Sean Cole's bibliography, Inside the Weird. This article talked about how bots will click on things to give them views to make them more popular. This reminded me of some of my friends because they have bought followers on Instagram to make it seem like they have more followers than they really do. It also made me think about how many TikTok videos are botted and don't actually have the amount of views they say they do. Bots are crazy, and they can do a lot of stuff I didn't even know about.

    1. As a final example, we wanted to tell you about Microsoft Tay a bot that got corrupted. In 2016, Microsft launched a Twitter bot that was intended to learn to speak from other Twitter users and have conversations. Twitter users quickly started tweeting racist comments at Tay, which Tay learned from and started tweeting out within one day. Read more about what went wrong from Vice How to Make a Bot That Isn’t Racist [c14]

      This is crazy to me how the AI genuinely learned from the other racists and hating people on Twitter and started saying the same things. And to think, this was almost 10 years ago, when this happened in 2016, the early days of generative AI, and it had actually become corrupted and was changing into a bad tool. It makes me wonder, how possible is that in today's day and age? Are AIs completely coded not to be able to become evil, or could ChatGPT totally have a switch-up and begin a hate triumph and then have to be shut down? AI is so interesting, and I'm excited to learn more about it.

  6. Sep 2025
  7. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. As a social media user, we hope you learn how social media sites influence you, from how your data gets used or abused, to how harassment and spam bots operate, to how platforms manipulate your emotions and mental state. We hope you could then be a more knowledgeable consumer and participant on social media sites. As a member of a society that is influenced by social media, we hope you learn about the societal impact of automated social media systems, and how those systems are designed under different economic, social, and governmental pressures. We hope you could then be more knowledgeable in what you might advocate for or vote for in how social media sites operate.

      As a finance major, I plan to use marketing, and social media when communicating with clients or advertising my business. I hope this class can help teach me ethical ways to be a part of social media and society, and how to avoid things that may not be true or may be bots and or AI. Learning and being able to manage/navigate social media will be crucial for my line of work, along with being ethical in today's society. As the world is continuously spinning and changing, this class will help me keep up with today's standards so that I can be the best version of myself and make lifelong connections that will influence the future of my career.

    1. Confucianism# Sources [b13] [b14] [b15] [b16] Being and becoming an exemplary person (e.g., benevolent; sincere; honoring and sacrificing to ancestors; respectful to parents, elders and authorities, taking care of children and the young; generous to family and others). These traits are often performed and achieved through ceremonies and rituals (including sacrificing to ancestors, music, and tea drinking), resulting in a harmonious society. Key figures: Confucius [b13]~500, China Mencius [b17] ~350, China Xunzi [b18] ~300 BCE, China

      I really agree with Confucianism! I think that 1000% we should focus on becoming the best versions of ourselves, as it not only benefits us but our families and peers as well. I personally have a checklist of things to do to be better, and I think everyone should. You should want to be great, you should strive for success and to be the best; Settling for mediocracy is not an option! I think this Confucianism relates to the values set by Aristotle. They both agree that you should train to become more virtuous and a better version of yourself. These two are great core values and ethics that I believe everyone should try their best to follow.