I looked at article d14 and something I found interesting was that it shows that numbers can mean different things depending on the assumptions and the context it is being used in. This adds more to the chapter's point about data is a simplification of reality and that even simple-looking facts may not be as straightforward as it seems.
- Last 7 days
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social-media-ethics-automation.github.io social-media-ethics-automation.github.io
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social-media-ethics-automation.github.io social-media-ethics-automation.github.io
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One idea from this chapter (4.2) that stood out to me was basically the title. All data simplifies reality. I thought that the apple example was interesting. The apple example showed that even simple data depends on the choices we make about what to measure. Four apples can be counted equally, but they are not the same size or weight, so it's not fair. This made me realize that when people debate statistics like bots on Twitter, they may not just disagree about the numbers themselves but also the meaning behind the numbers. I think this example is a good reminder not to trust everything on the internet and to question if the data is reliable or not.
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social-media-ethics-automation.github.io social-media-ethics-automation.github.io
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For the source c10, this source describes astroturfing, which is when a person or organization creates the false appearance of widespread public support for an idea or cause. I thought this was interesting because bots can be used to make opinions seem more popular than they really are, which can influence how people think about an issue.
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social-media-ethics-automation.github.io social-media-ethics-automation.github.io
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Social media platforms allow bots because bots can provide useful services and increase user engagement. Many bots can automatically share news updates, weather reports, sports scores, or helpful information that users want to see. These bots can perform tasks much faster and more consistently than human users. So, social media platforms can financially benefit from bots because they are active all the time and can increase the amount of content being posted and interacted with on the site. Basically, more activity means users spend more time on the platform, which can lead to increased advertising revenue. I think it's also important to note that bots need monitoring because it can be risky when they spread misinformation, spam, or manipulate public opinion.
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- Oct 2026
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social-media-ethics-automation.github.io social-media-ethics-automation.github.io
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I want to add something about Ubuntu. The section defines it as "a person is a person through other people” which, in my opinion, sounds a bit vague and can be hard for some to understand. So I would like to share my thinking about it. I think it means you can't be a complete person on your own. You become complete through how you treat others and how you participate in your community, so a person who ignores or hurts others isn't living up to what it means to be a person based on morals and ethics.
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social-media-ethics-automation.github.io social-media-ethics-automation.github.io
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I think that tech workers have the responsibility to ask whether they should build something, not just whether they can do it. Kumali noticed that the people he met were excited about what their technology could do but had never thought about how it might be misused. Once it's out there, it's out there; it can't be taken back, so it is important to double-check for anything that could cause harm before a product is released. Waiting for safeguards after isn't enough, because technology changes much faster than laws do. The people who build a product understand it best, so they are in the best position to notice problems early.
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