This Wikipedia source talks about spamming. It first gives us a definition. Next, it gives us it's direvation and roots/history. It also gives examples in different media forms, such as emails, messages, social network spam, and many more. Something that I also find interesting is the chart of where spam comes from with percentages for countries.

I have reported posts not because they broke the terms of service (they might have, but I didn't check), but because I didn't like the post. Sometimes I do this so that I don't see content from the creator of the post anymore, or so that I don't get that type of content anymore, and sometimes I just do it as a troll. On TikTok, there are a couple of steps to take before you can block someone, but you can report them without going to their profile.

This source talks about adolescents and how they dig themselves into a deeper hole of anxiety and depression. They do this by posting negative comments about themselves, which is a trend that is picking up traction. This is observed as an act to gain attention or cope with their feelings.

This is very intriguing to me because while I knew that sites like Facebook gather a large amount of data, I didn't realize they gathered data on whether or not a user committed suicide. This leads me to believe that they have data on different message patterns that are predictors of whether or not a user would commit suicide. I also wonder how they would track if a user did.

This source talks about the pyramid scheme being a business model where you enroll others to enroll more people, giving it a snowballing effect. It also goes into depth on different models of the scheme because apparently there are more than one. The source also covers notable cases of pyramid schemes being deployed.

I think taking someone's content and reposting it as your own or to gain monetary value is probably immoral. I would say it's okay to use others content on social media without giving them credit directly when you are in some way altering it. To clarify, I don't mean adding a video of someone playing a video game next to make someone else's content into short-form videos.

This source describes how Tiktok gained major traction. It also talks about how algorithms in general will only put out a fraction of enjoyable content for you, I think that this is an advantage for the site because when you find a video you like it gives you a rush like finding treasure. It also talks about how the vertical video style played a role in the success.

I mostly only use Tiktok and Instagram, and they both have similar short-form content sections; however, there is some differences that can be seen in their recommendations. Instagram has a feature I noticed where, if you don't use the platform for a while, it can sort of refresh the type of content it's pushing you. With Tiktok I often get videos that are pushing a Tiktok shop product that I would have no interest in.

This source talks about colorblindness, being something that is inherited, with males being more likely to be color blind than females. The source also shows how people with different types of colorblindness see the world differently with images. It also goes into depth on how different colors are seen.

I think this is a good and interesting tactic because most of the time, when something is made accessible for people with disabilities, it improves the quality of life for everyone, like automatic doors are very commonly used now, or ramps for people to carry their roller bags on.

This is a news source that talks about Facebook's data breach and how the data was published to a hacker group's website with lots of information, which wasn't super sensitive, but people most likely would not like being publicly available. The source also talked about how Facebook did not notify the users whose data was breached about this event.

I think this is only a risk if the company you're giving your information to is poorly managed. A majority of people give lots of sensitive information like credit card numbers, text messages, and other important data to Apple, however, they have one of the greatest cyber security teams in the world comparable to the US governments cyber security.

This source covers Spurious relationships; it is a Wikipedia source. It gives the classic example of drownings going up at a similar rate to ice cream sales, even though there is no correlation between the two, and the correlation is really between temperature levels. It also talks about hypothesis testing and linear relationships.

I wasn't able to access my ad profile; however, I did look around a little bit and found all my data for Google applications, like Gmail messages sent, contacts, calendar, drive, and other various applications. I am not too concerned with Google having data on me because it is probably just used in an algorithm along with millions of other users' data.

This is a dictionary site that gives you the audible pronunciation for the UK and US versions of hors d'oevre. It is a very simple site; it just has the word and an audio button next to it, as well as a sound-by-sound pronunciation.

This was suprising too me, but not something I would have expected to happen. I guess I am most surprised that social media or internet sites don't censor this more. This reminds me of the Westboro Baptist Church and how they would mock families at military funerals.

This source talks about "code-switching" which it describes as when people switch between two different languages. It lists different types of code-switching, as well as how it can be applied or used. The source also gives written examples toward the end.

I think in terms of authenticity, this isn't as bad as it gets because while Trump himself didn't actually create half of the posts, he most likely still approved their messages. I would compare this to a similar situation to how the creator of a bot is still accountable for the actions the bot takes. I think this could have been prevented by having a campaign accout and a personal account.

This source talks about how users used the site to spread their manifestos for shootings and other crimes. This led to 8chan being removed from the internet after pressure from the public. The site was later rebranded and made its return as 8kun.

I think that it is very impressive that a 15-year-old created this website, even if it was mostly copied from a Japanese bulletin board site. I, at the age of 15, would have come nowhere close to putting something together like this, creating something that many people use.

This source talks about and lists all of the mainstream file formats. It gives links to the description of all of the file formats, each of which has different uses, with some being more commonly used than others.

This is really interesting to me. I have worked with every other data type listed except sound data. I'm curious how this data would be used in practice for moderating content that could have profanity or various other uses.

This source has a list of registered bots for Wikipedia with an activity status correlated to them. I think this list is up to date and automatically updates. However, I did not see any newer bots past 2014.

I think expectations differ greatly for normal users versus bots. I also think most people don't even realize that there are social media bots on different platforms. I think most people expect bots to have a very limited variety of vocabulary and not be as advanced as they currently are. I think it is very possible that some bots are indistinguishable from normal users.

I disagree with this ethical framework based on how minimal the description is. I do agree that most things in life should be done in moderation, but there are also things that I don't think ethically should have a place in anyone's life. I also think that people can live virtuously as individuals and that there are actions that can improve one's life, which I would classify as virtuous actions.

As someone who is really interested in algorithms and data science collected on people's tendencies, this resonated with me. I have done a data analysis project on people and how long they work at a job based on their characteristics, but that was limited. I'm interested in how much data these companies collect and what they decide is valuable.