Many have anecdotal experiences with their own mental health and those they talk to. For example, cosmetic surgeons have seen how photo manipulation on social media has influenced people’s views of their appearance:

When content is replicated on social media, it may be modified. The Social media system might have built-in ways to do this, like a quote tweet or reply adding some sort of comment to the original post, effectively making a new version of the post that can spread around.

For example, if a bee protects its nest by stinging an attacking animal and dying, then it can’t reproduce and it might look like a failure of evolution. But if the gene that told the bee to die protecting the nest was shared by the other bees in the nest, then that one bee dying allows the gene to keep being replicated, so the gene is successful evolutionarily.

The filter bubbles can be good or bad, such as forming bubbles for:

Some recommendation algorithms can be simple such as reverse chronological order, meaning it shows users the latest posts (like how blogs work, or Twitter’s “See latest tweets” option). They can also be very complicated taking into account many factors, such as: Time since posting (e.g., show newer posts, or remind me of posts that were made 5 years ago today) Whether the post was made or liked by my friends or people I’m following How much this post has been liked, interacted with, or hovered over Which other posts I’ve been liking, interacting with, or hovering over What people connected to me or similar to me have been liking, interacting with, or hovering over What people near you have been liking, interacting with, or hovering over (they can find your approximate location, like your city, from your internet IP address, and they may know even more precisely) This perhaps explains why sometimes when you talk about something out loud it gets recommended to you (because someone around you then searched for it). Or maybe they are actually recording what you are saying and recommending based on that. Phone numbers or email addresses (sometimes collected deceptively) can be used to suggest friends or contacts. And probably many more factors as well!

This way of managing disabilities puts the burden fully on disabled people to manage their disability in a world that was not designed for them, trying to fit in with “normal” people.

Which abilities are expected of people, and therefore what things are considered disabilities, are socially defined. Different societies and groups of people make different assumptions about what people can do, and so what is considered a disability in one group, might just be “normal” in another.

For example, the proper security practice for storing user passwords is to use a special individual encryption process for each individual password. This way the database can only confirm that a password was the right one, but it can’t independently look up what the password is or even tell if two people used the same password. Therefore if someone had access to the database, the only way to figure out the right password is to use “brute force,” that is, keep guessing passwords until they guess the right one (and each guess takes a lot of time).

When we use social media platforms though, we at least partially give up some of our privacy. For example, a social media application might offer us a way of “Private Messaging” (also called Direct Messaging) with another user. But in most cases those “private” messages are stored in the computers at those companies, and the company might have computer programs that automatically search through the messages, and people with the right permissions might be able to view them directly.

It turns out that if you look at a lot of data, it is easy to discover spurious correlations where two things look like they are related, but actually aren’t. Instead, the appearance of being related may be due to chance or some other cause. For example:

It turns out that if you look at a lot of data, it is easy to discover spurious correlations where two things look like they are related, but actually aren’t. Instead, the appearance of being related may be due to chance or some other cause. For example:

For example, social media data about who you are friends with might be used to infer your sexual orientation. Social media data might also be used to infer people’s:

Hazing: Causing difficulty or suffering for people who are new to a group Satire: (e.g., A Modest Proposal) which takes a known form, but does something unexpected or disruptive with it. Practical jokes / pranks

Trolling is when an Internet user posts inauthentically (often false, upsetting, or strange) with the goal of causing disruption or provoking an emotional reaction.

Authenticity is a concept we use to talk about connections and interactions when the way the connection is presented matches the reality of how it functions.

As a rule, humans do not like to be duped. We like to know which kinds of signals to trust, and which to distrust. Being lulled into trusting a signal only to then have it revealed that the signal was untrustworthy is a shock to the system, unnerving and upsetting. People get angry when they find they have been duped. These reactions are even more heightened when we find we have been duped simply for someone else’s amusement at having done so.

While mainstream social media platforms grew in popularity, there was a parallel growth of social media platforms that were based on having “no rules”, and were sources for many memes and pieces of internet culture, as well as hubs of much anti-social behavior (e.g., trolling, harassment, hate-groups, murders, etc.).

Graffiti and other notes left on walls were used for sharing updates, spreading rumors, and tracking accounts Books and news write-ups had to be copied by hand, so that only the most desired books went “viral” and spread

This means that how you gather your data will affect what data you come up with.

for an age (integer), only allow ages between 0 and 120 for a country name (string), have a pre-set list of valid country names for a legal name (string), disallow emojis

You can use bots as a way of buying fake followers, or making fake crowds that appear to support a cause (called Astroturfing).

Note that sometimes people use “bots” to mean inauthentically run accounts, such as those run by actual humans, but are paid to post things like advertisements or political content. We will not consider those to be bots, since they aren’t run by a computer. Though we might consider these to be run by “human computers” who are following the instructions given to them, such as in a click farm:

Now, you might be thinking… isn’t ethics something that people NEVER agree on? We don’t exactly have firm answers, right? And more than a few wars have been fought over ethical disagreements that couldn’t be resolved. So how is ethics supposed to help us decide about how things should go in the world of social media? How does ethics help us to know what to do?

But just because we use an ethics framework to look at a situation doesn’t mean that we will come out with a morally good conclusion.