12 Matching Annotations
  1. Last 7 days
    1. In the youtube comments, some people played along and others celebrated or worried about who would get tricked.

      This happens a lot online now. Many people new to certain hobbies won't understand specific terms, leading to many falling for these troll/satire videos. This is especially prevalent in smaller communities where everyone is more active.

    2. In 2011, Am

      I love reading these types of reviews. Especially on items that are barely functional or obviously a scam. The troll reviews are really fun to read and share. The only problem with these reviews is that it often inflates the ratings of these items.

    1. Fig. 6.8 Fred Rogers explaining to my younger sister (Jessica), that he can’t come visit our house.

      I'm surprised that they mailed both of them back and actually responded to their messages. It's really in line with the Mr. Rodgers brand but that means that someone read through their messages and wrote a personal response.

    1. For example:

      Code switching is almost mandatory in public. You can't talk and act the same way around everyone. The way you act to customers and coworkers is going to be different from your friends and family.

  2. Oct 2024
    1. Sometimes designers add friction to sites intentionally.

      Some other examples of friction in web design is TikTok's "you've been watching too long". Other social medias and games have been implementing this as well.

    1. And now as the internet and social media have taken off in the early 2000s, we are again in a world full of rumors and conspiracy theories.

      It's interesting how we are back in the age of rumors and theories. Back then, people didn't have the tools to easily fact check. In modern times, people don't have the attention span to fact check what they see on the internet. Those short, half truth rumors spread like wildfire now.

    1. Data points often give the appearance of being concrete and reliable, especially if they are numerical. So when Twitter initially came out with a claim that less than 5% of users are spam bots, it may have been accepted by most people who heard it.

      Statistics is always something that can be used to mislead or trick readers. In this example, it mentions only 5% of users being bots, but doesn't mention what counts as a user. There could be many inactive accounts lowering the overall number of bots, but not lowering the percentage of bots that users see.

    1. One could go abroad, and take a picture of a cute kid running through a field, or a selfie with kids one had traveled to help out. It was easy, in such situations, to decide the likely utility of posting the photo on social media based on the interest it would generate for us, without

      I've always felt weird seeing these kinds of posts on my feed. It feels weird morally to post about something like helping the less fortunate. The posts make the good deed feel disingenuous.

    1. Why would users want to be able to make bots? How does allowing bots influence social media sites’ profitability?

      Allowing bots on websites allows for more "users" and data traffic. Having more data traffic allows for advertiser to make more money. Users could use bots for many reasons but the main reason is to try and grow an account.

    1. On the other hand, some bots are made with the intention of harming, countering, or deceiving others. For example, people use bots to spam advertisements at people. You can use bots as a way of buying fake followers, or making fake crowds that appear to support a cause (called Astroturfing).

      I commonly see bots used for online shopping. Lots of scalpers use bots as a way to get concert tickets or new clothes in order to resell for a profit.

  3. Sep 2024
    1. Taoism

      Taoism focuses less on the individual and more on the world. Individually, we cannot make much of a difference, so it's better to let the universe control.

    1. How do you divide out responsibility for a bots actions between the person writing the code and the person running the program?

      I feel that most of the responsibility should lie in the person who ran the code. They had the final say on what the bot would do rather than the programmer who just created the bot.