This comic from xkcd about "The Pace of Modern Life" connects well to the idea that modern life feels like it’s constantly speeding up and that there's always a new standard or something to keep up with. It made me think about what we talked about in class regarding social media and attention about how platforms, notifications, and endless content can make everything feel urgent all the time. Even simple things start to feel rushed or overwhelming because we’re always switching between tasks and inputs. It highlights how technology doesn’t just reflect our pace of life, it actually shapes and accelerates it.

This section makes a good point about how being a social media user isn’t just passive but that it involves understanding how platforms and other users are trying to influence your attention and emotions. I like how it emphasizes recognizing spam, trolling, or intentionally offensive content so you can choose not to engage and avoid spreading it further. It connects everyday scrolling to bigger ideas about ethics and responsibility online!

One thing that stood out to me is how the idea of “connecting the world” can sound purely positive at first, but the section kind of pushes you to question who benefits and who might be harmed. Even if more people get access to the internet, that connection can still come with unequal power, cultural influence, and unintended consequences like misinformation or conflict. It makes me think about how tech companies’ “benevolent” goals can still shape societies in ways that aren’t neutral

What stood out to me from the supply and demand article is how supply and demand isn’t just a simple “price goes up or down” idea, but that a whole model built on assumptions that don’t always match real life. The section on criticism makes it clear that things like wage labor, housing bubbles, and admin set prices can break the neat curve model economists rely on. It kind of shows that economics is useful for understanding patterns, but it can’t really fully predict human behavior in messy real world systems.

One interesting takeaway I had is how social media companies don’t operate in isolation but that they are constantly shaped by competition and regulation, from platforms trying different designs to governments introducing laws like GDPR to protect user data. It highlights how issues like privacy and market dominance aren’t just technical decisions, but ongoing tensions between corporate goals, user rights, and public policy.

One thing that stood out to me in the article by Ellen Loanes about Stochastic terror in American politics, is how violence can be influenced indirectly through language and media, even when no one is explicitly being told to act a certain way or do certain things. It makes me think about how powerful online communication is, because ideas spread to massive audiences and can shape how people interpret “acceptable” behavior without clear instructions ever being given.

Something that stood out to me is how harassment online isnt random but that it follows patterns tied to identity, especially where different forms of discrimination overlap through intersectionality. It makes me think about how platforms aren’t just neutral spaces for communication but that they can actually amplify existing social inequalities depending on how they are designed and moderated.

This section shows that while crowdsourcing can be powerful for collecting ideas and completing tasks at scale, it also raises serious concerns about quality, fairness, and worker pay. I found it especially important that many of the limitations come from real structural issues like bias in participation, lack of expertise in the crowd, and unclear labor protections, which can directly affect both the results and the people doing the work.

It’s interesting to me how crowdsourcing platforms turn small individual actions into something much larger and more powerful, with things like editing Wikipedia pages or solving problems researchers couldn’t easily handle alone.

It’s interesting how much structure and responsibility goes into admin roles, but also how much trust and accountability the community expects from volunteers who hold those tools, especially since their decisions can directly affect how information is shared and maintained on the platform.

It’s surprising to me how much unseen emotional labor goes into keeping platforms “safe” especially when workers are exposed to such harmful content repeatedly with little support. It makes me think about how systems could be designed to reduce that burden instead of just shifting it onto people.

I thought it was interesting to learn that the term "spam" comes from a Monty Python comedy sketch. I hear the word a lot online but never knew where it originally came from. It shows how internet culture can take ideas from other forms of media and give them a completely new meaning.

I thought it was interesting that even websites that support free speech still ban spam. It shows that every platform has to set some limits to keep the site useful and enjoyable for users. And the section about safety stood out to me because people are more likely to use social media when they feel safe. Moderation can have a big impact on a user's experience online.

I looked at source r5 on Jimmy Kimmel's Halloween prank and I think the fact that this article was written by a child psychiatrist made it more impactful to me because it shows there can be real emotional effects from these kinds of online pranks. I think social media sometimes encourages people to post embarrassing or emotional moments for views and entertainment without thinking about how it affects the person being filmed, especially children

I think social media makes public shaming much more intense because thousands of people can join in so quickly. Even when someone did something wrong, online criticism can sometimes go too far and turn into harassment instead of accountability. The part about dogpiling made me think about how easy it is for people online to forget there is a real person behind the screen

I learned that a chain letter is a message that tries to get recipients to copy and forward it to others, creating an exponentially growing “chain” that spreads through email, social media, or physical mail. These messages often use emotional manipulation, false promises (like money or rewards), or threats of bad luck or harm to encourage sharing, and they can sometimes function like scams or pyramid schemes. The source I looked at explained that chain letters can come in different forms, including hoaxes meant to deceive or trick people, and urban legends like warning-style stories meant to spread widely. Some of them may seem harmless, they can waste time, spread misinformation, or be used for fraud or cyberbullying.

One thing I find important in the chapter is its focus on how normal and widespread copying and remixing has become online, but also how that can create ethical problems when original creators aren’t credited. In my opinion, the chapter does a good job showing that not all copying is harmful remixing can actually be creative and culturally meaningful, but it also highlights a real issue when people or platforms benefit from content without acknowledging where it came from. I think attribution should be more intentional and easier on social media, because right now the system often rewards speed and virality more than credit or fairness.

One detail from the source “Digital Reminders of a Lost Pregnancy” (The Atlantic) is that recommendation systems and app notifications can continue delivering pregnancy related content even after a miscarriage, which can intensify emotional distress for users. The article describes how people who used fertility and pregnancy apps continued receiving updates and reminders that no longer matched their situation, which can make it difficult to emotionally separate from the apps or even delete them. This source connects to the chapter’s discussion of how algorithm driven systems and automated content delivery can unintentionally reinforce harmful or distressing experiences when personalization is not sensitive to major life changes. I think its important to have "not interested buttons" to lessen viewing certain unwanted content on your explore feeds.

One detail from the chapter is that recommendation algorithms can create filter bubbles, where users are mainly shown content that matches their past behavior and reinforces their existing views. In my experience on social media, I notice that once I interact with certain types of videos or posts, my feed quickly stats to relate by showing similar content, making it harder to see different perspectives. The chapter’s discussion of polarization also connects to this, since engagement driven algorithms can unintentionally push more extreme or emotional content to the surface and shape what users are exposed to over time.

One detail from the source is that color blindness or "color vision deficiency" is most commonly an inherited condition that affects the ability to distinguish certain colors, especially red and green, due to variations in cone cells in the retina. It is more common in males because it is often X-linked, but it can also be acquired through disease, injury, or medication. I learned that there is no cure, people typically adapt using tools, apps, lenses, and environmental adjustments to help manage everyday tasks involving color recognition.

One question I had while reading this chapter is how designers can realistically create technology that is accessible for such a wide range of disabilities and experiences. Since disabilities can be permanent, temporary, invisible, or situational, it seems difficult to design one single platform that works well for everyone. I wonder how companies decide which accessibility features to prioritize and who gets included in those decisions

I thought it was interesting that Matthew 7:12 was included as a source because the idea of treating others the way you want to be treated connects strongly to ethics on social media. A lot of online harassment, public shaming, and harmful behavior might be reduced if people applied this principle before posting or responding online. It also shows that ethical ideas used in technology discussions can come from religious and philosophical teachings that have existed fro a while before social media.

I think people still say ‘social media isn’t real life,’ but I believe at this point social media has such a strong influence on people’s emotions, relationships, and opinions that it can affect real life. Things that happen online can impact mental health, jobs, friendships, and even politics. At the same time, I do think social media only shows selective parts of people’s lives, so it can create unrealistic expectations about what life is actually like.

The Justine Sacco situation shows how quickly social media can turn one post into worldwide public shaming. While her tweet was clearly offensive, I was surprised by how millions of people became invested in tracking her flight and waiting for her to land and finding so much of her personal information. It made me think about how social media can blur the line between holding someone accountable and turning them into entertainment for the internet.

I think the people Kumail talked with didnt have answers to his questions because many tech companies prioritize innovation and speed over ethical discussions. They may focus so much on creating new technology and staying ahead of competitors that they do not stop to think about the possible consequences of what they are making. I also think some developers assume that once technology is released, it is the responsibility of users or lawmakers to handle the negative effects, rather than the responsibility of the creators themselves.

I took a look at i4 about the right to privacy and how it protects people from government and company interference with their personal information. One thing that stood out to me was how privacy laws differ so much around the world, especially with countries like the European Union having stronger protections through GDPR compared to the US. I also found it interesting how technology and social media have made privacy more complicated because companies can collect big amounts of personal data online. Reading about "mass surveillance" and data collection made me realize how important privacy rights are now that so many things are digital and how difficult it can be to balance safety, security, and personal freedom.

I read i19 and one part of this article that stood out to me was the idea that employees often have an “illusion of privacy” when using workplace communication tools. I learned that many people assume private messages or deleted chats cant be seen, but companies can actually access emails, Slack messages, and even deleted content. This connects strongly to the topic of digital privacy because it shows how technology can blur the line between personal and professional communication. It also made me think about how important transparency is and why workers should clearly know what information employers can monitor and store.

One source from the bibliography that stood out to me was the Washington Post article h8 “Everything Everywhere All at Once is a deeply Asian American film.” The article explains how the multiverse in the movie represents the immigrant experience and the pressure of balancing different identities. I thought this was interesting because it shows that the movie is not only about action or science fiction, but also about family expectations, cultural identity, and generational trauma. The writer explains that Evelyn feels split between many versions of herself, which was meant to show how many immigrants or children of immigrants can feel caught between cultures. This detail helped me better understand why the film connected so strongly with audiences and why it is considered such an important movie for Asian American representation. This was a good read!

One thing I found interesting in this section was the idea of spurious correlations. Just because two things seem connected in data doesnt mean one actually causes the other. The example of comparing COVID cases and Yankee Candle reviews was funny but also showed how easy it is to misinterpret data online. I think this is important because social media companies and researchers use huge amounts of data to make decisions, so people need to think critically about whether the conclusions are actually reliable.

One thing that stood out to me in source m17 about cyberbullying, was how some teens anonymously cyberbully themselves online because they already feel insecure or alone. I thought it was really sad that some teenagers post hateful comments about themselves just to see if anyone notices or cares. This source shows how social media can sometimes make mental health struggles worse even from internal factors, especially for teens who already feel isolated. It also made me realize how important it is for parents, teachers, and friends to create supportive environments where teens feel safe talking about their feelings instead of suffering silently.

I thought this section was interesting because it showed how social media platforms could change what people see online by filtering posts with positive or negative sentiment. Even though only showing positive news might help some people feel better, I also think it could create an unrealistic view of the world if users never see important negative news. It made me think about how much control algorithms have over people’s emotions and perspectives online.

I took a look at the article about trolling slang and I thought it was interesting that this source explains how the meaning of “troll” has changed over time. Originally, trolling online was sometimes seen as more of an inside joke or prank, but now it is often connected to harassment and cyberbullying. I found it interesting about how its severity has taken on new levels as of more recently. I also found it surprising how the article connected trolling to psychology and online anonymity, because people often act differently online when they feel anonymous.

This example shows how easy it is for bots to be manipulated if they aren’t designed carefully. Even when the bot tried to limit actions, people still found ways to trick it into saying certain harmful things. It made me realize that technology isn’t automatically safe or neutral it depends a lot on how it’s programmed and how people choose to use it.

The f33 source talks about social media and anxiety and the NPR interview with Bo Burnham shows how social media can increase anxiety, especially for young people trying to figure out who they are. It connects well to the chapter because it highlights how hard it is to be “authentic” online when there is so much pressure to perform or be judged by others.

This part really showed me how serious inauthenticity online can be. The story about @Sciencing_Bi was surprising because so many people believed the account was real, and it actually affected real situations like harassment discussions. It made me realize how easy it is to trust what we see on social media without questioning it. Things like fake accounts or sockpuppets make it harder to know what’s true.

I looked at e9 about text messaging and it discussed the social effects of text messaging, especially among teenagers. Something that stood out to me was getting to look at both historical context and modern social impacts of texting. One detail that stood out was how texting has evolved from simple SMS messages into something that affects areas like education, law, and communication norms. The section about students showed how texting can impact academic performance and even lead to issues like cheating or reduced attention during classes. This source provides research based evidence that supports the idea that social media and messaging technologies influence behavior, not just communication.

I found it interesting how dictionaries organize data with keys and values, because it reminds me of how social media profiles have different types of information all in one place. It makes it easier to see how real apps use this structure

I took a look at d24, the article about bot activity on X during the Super Bowl, and it showed that around 75% of the traffic coming from the platform may have been fake. A detail from this source that stood out to me was how this was much higher compared to other platforms like Instagram or TikTok, which had very low percentages of fake traffic. This connects to what weve been learning about bots so far this course because it shows how they can significantly impact what we think is real engagement online.

This section made me think about how much information is actually contained and used in a single social media post, including both the content and the metadata like likes, time, and information about the user posting. This can be connected to my own experience using apps like Instagram and TikTok because I usually only pay attention to the post itself, not all the extra data behind it. I also didn’t realize how that hidden information could be used to understand or influence what people see what content.

I took a look at the “Programming paradigm” source from this bibliography section. This source helped me understand that programming isn’t just one way of writing code, but actually includes multiple “paradigms” that shape how problems are approached. What stood out to me is how coding languages like Python or Java can support more than one paradigm, which means there isn’t just one correct way to structure a program. This makes me think about how flexibility in programming reflects real world problem solving, where there is rarely just one way to solve an issue. The rest of the source basically explains different types of programming paradigms and how they classify and organize different programming languages.

This section helped me understand how bots are built using structured programming rules, similar to how language follows grammar rules to make sense. It made me realize that even something that seems simple or automatic online is actually the result of different, intentional design choices. This connects to the earlier parts of the reading about social media because it shows how much of what we see online is shaped by systems running in the background with these bots, not just human users.