This source highlights a tweet that comedian Jaboukie Young-White made back in 2020, impersonating the FBI making a foul comment about the assassination of Martin Luther King. This is not the first time Young has impersonated a public figure, which highlights an important issue regarding digital media. Not only does trolling include leaving comments and insults for other users, but another form of trolling is impersonating someone you're not. This is especially interesting because in this class we are learning to code bots to make posts for us, would that be a form of impersonation?

I think the best way to deal with trolling would be block the users and report them, although it may be hard ignoring them would be the best strategy to stop further damage. Arguing back may not be the best, just because you will get more invested in the situation.

This post by Todd Vaziri highlights a pattern in Donald Trump’s tweets during his 2016 presidential campaign—suggesting that hyperbolic tweets came from an Android device (likely Trump himself), while more measured tweets came from an iPhone (likely his staff). The tweet became notable for its insight into how device data revealed differences in tone and authorship.

The authenticity of the Tweet that come from Trump seems very important to users all across the world because as the president of the United States, he has a lot of status that comes with that role. Personally, president Trump has said a lot of questionable things, and made a lot of false claims in the past so I don't really believe most of the stuff that he posts on social media but any information in general needs to be backed up no matter who it's coming from.

This website overviews the history of bulletin boards and their creation. From this source I was able to learn more about their origin as well as the coding format to make them, this makes them more interesting to me now and I realize how much I use bullet points during my day to day.

This section highlights the blogging website, 4Chan which is a site that is pretty loose on restrictions so a lot of users will post harmful content and started multiple toxic internet trends. This serves as a primary example of toxic cyber environment, which has raised a lot of issues especially in recent years because of increased online trolling and exploitation of underaged users. This really shows how social media may not always be glamorous and good.

The W3Schools HTML Introduction page explains that HTML is the basic language used to build web pages. It talks about how HTML uses tags (like labels) to mark things like titles, headings, and paragraphs. For example, you use one tag type to create a heading and another for a paragraph. It even shows a simple example of what a basic web page looks like in code. It also mentions that your web browser (like Chrome or Safari) reads this code and turns it into the websites you see. And there’s a special line at the top of the page that helps the browser understand it’s working with HTML.

This definition of metadata makes me reflect on how often we underestimate its significance in our daily interactions with technology, particularly concerning privacy. For example, a tweet's content might seem harmless, but its metadata can uncover personal patterns, routines, or even reveal someone’s identity. It’s unsettling to realize how companies can exploit this seemingly minor information for profiling or targeted advertising.

This citation mainly focuses on the image captured by the news outlet with a woman sitting in front of multiple phones. Showing how easy it is to manipulate the App Store by one person downloading and deleting apps to increase download numbers. If even one person can be using this many phones at once, it's scary to even think how much a factory of workers can do.

I was surprised that antagonistic bots existed, especially since there were so many types. I find it pretty interesting that these bots are placed into so many different types of situations and the different uses for each type. Especially because a lot of these applications will have multiple types of the bots and the different types of functions for each.

I believe that the responsibilities of tech workers to think through the ethical implications of what they are making need to ensure that they are curating technology that is helping people more than harming them. While social media search engines are helpful, it also creates privacy issues, especially surrounding safety and possible ways for online stalkers to gain more information on their victims. Another thing is ethics courses workers should go through during employment because I know that most engineering degrees will require their students to attend ethics classes to educate them on the importance of making ethical decisions and how their jobs can impact the lives of millions of people.

The moral framework often represents how it will always be the morally correct choice and that's not always true. especially with Confucianism which focuses on honoring your elders and being generous to the young. Although this may be morally correct it is not an individual's responsibility to fend for each elderly or younger person in their life, especially if that person has done something bad to them. An example would be Korean sports teams where the respect culture is something that they tend to focus on and this promotes bullying of younger members from elder members which really creates an issue for the morality of that team as well as their interpersonal relationships.