17 Matching Annotations
  1. Last 7 days
  2. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. [k11]

      I was surprised that TikTok's success might have more to do with its design than its algorithm. Being able to swipe past videos so easily makes the app feel like it knows what we like. It makes me wonder how much time we spend scrolling without realizing it.

    1. Trolling: by provoking reactions, they hope to boost their content more

      I think it's interesting how clickbait and trolling can get more attention because people react to them. Just because a post gets a lot of engagement doesn't mean it's good information. I think social media platforms should be more careful about what they recommend.

  3. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. [j20]

      What stood out to me from this article was how Twitter's image cropping algorithm showed bias toward white individuals over Black individuals. I found it interesting that even something as simple as cropping a photo could lead to unfair outcomes. It shows why companies need to test their technology with different groups of people before releasing it. I also think Twitter made a good decision by giving users more control over their images.

    1. disabled people are often excluded from designing for themselves, or even when they do participate in the design, they aren’t considered to be the “real designers.”

      What stood out to me in the video was how people with disabilities helped improve the voting machines but didn't always get recognition for their ideas. I think that's unfair because they understand problems that other designers might overlook. They should be included in the design process and given credit for their contributions.

  4. Oct 2026
    1. Emma Bowman. After Data Breach Exposes 530 Million, Facebook Says It Will Not Notify Users. NPR, April 2021. URL: https://www.npr.org/2021/04/09/986005820/after-data-breach-exposes-530-million-facebook-says-it-will-not-notify-users (visited on 2023-12-06).

      What stood out to me is how Facebook decided not to tell people that their information got leaked. I don't understand why they wouldn't let people know. The data is already out there and could be getting sold or shared without anyone knowing. I feel like people have the right to know when their personal information gets exposed. Keeping it from them just makes the situation worse.

    1. For example, in 2012, former tech CEO John McAfee was a suspect in a murder in Belize [i22], John McAfee hid out in secret. But when Vice magazine wrote an article about him, the photos in the story contained metadata with the exact location in Guatemala [i23].

      What stood out to me about this example is how photo metadata can reveal someone's exact location. I've actually used this feature on my iPhone before when I couldn't remember the address of where I took a picture. When I swipe up on a photo it shows me the location on a map along with the date, time, and camera information. I always found this feature helpful, but I never really thought about how it could also be a privacy risk. Reading about John McAfee made me realize how easily someone's location can be exposed without them knowing.

  5. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. 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).

      What stood out to me is how Facebook can collect information about people who don't even have an account. I think this is wrong because a lot of people don't even know how much information companies collect. Most people just press agree when they see terms and conditions or a new update because they want to continue using the app. They don't really take the time to read what they're agreeing to and I think companies take advantage of that.

    1. 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.

      I feel like social media apps are designed to keep people scrolling because they know what we like to watch. The more we interact with certain posts the more similar content we see on our feed. When people keep seeing things they enjoy it makes them want to stay on the app longer. I think this is one of the reasons why it can be hard to stop scrolling sometimes.

  6. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. g37

      What stood out to me was how people can say something offensive online and then claim they were just joking when someone gets upset. I feel like this happens a lot on social media, especially in comment sections. It makes me wonder how we can tell when someone is actually joking or just using that as an excuse to avoid taking responsibility.

    1. Feeling Powerful: Trolling sometimes gives trolls a feeling of empowerment when they successfully cause disruption or cause pain.*

      What stood out to me is how some people feel powerful just by making others upset online. I feel like being behind a screen makes it easier for people to act this way because they don't have to face the person directly. It makes me wonder if those same people would act like this in real life.

  7. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. Zoe Schiffer. She created a fake Twitter persona — then she killed it with COVID-19. The Verge, September 2020. URL: https://www.theverge.com/21419820/fake-twitter-persona-covid-death-munchausen-metoostem-co-founder (visited on 2023-11-24).

      What surprised me was how someone could fake a serious illness just to get attention online. What stood out to me was how the woman in the article became so attached to the sympathy she received that she kept lying. It makes me wonder how this affects people who are actually going through serious illnesses.

  8. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. Many academics on Twitter expressed sympathy and outrage over what had happened to @Sciencing_Bi. Dr. McLaughlin held a memorial service for @Sciencing_Bi online via Zoom.

      What shocked me the most was how many people believed this account was real. This shows how easy it is to fool people on the internet especially when someone makes their account look believable. It makes me think about how easily people can trust something online without knowing the full story.

  9. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. Sasha Costanza-Chock. September 2023. Page Version ID: 1176749847. URL: https://en.wikipedia.org/w/index.php?title=Sasha_Costanza-Chock&oldid=1176749847 (visited on 2023-11-24).

      I thought it was interesting that Sasha Costanza-Chock studies both technology and social movements. Their work on design justice shows that design choices are not only technical choices because they can affect different groups of people in different ways.

    1. Additionally the text strings we saw before are actually stored internally as lists of characters.

      I didn’t know that text was stored as a list of individual characters. I always thought the computer just treated the whole sentence as one piece of text. It makes more sense now how programs can look at or change specific parts of a string.

  10. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. Sarah Jeong. How to Make a Bot That Isn't Racist. Vice, March 2016. URL: https://www.vice.com/en/article/mg7g3y/how-to-make-a-not-racist-bot (visited on 2023-12-02).

      The source explains that Tay became harmful because it learned from unfiltered user input. It also says bot creators should think about possible misuse before releasing a bot.

    1. Twitter users quickly started tweeting racist comments at Tay, which Tay learned from and started tweeting out within one day.

      I think bots that learn from users should have safeguards. The creators are still responsible for what the bot does.

    1. That is, Do whatever benefits yourself. Altruism is bad.

      I disagree with the idea that people should always do what benefits themselves. Sometimes helping someone else, even when you get nothing back, is still the right thing to do.