For example, Facebook has a suicide detection algorithm, where they try to intervene if they think a user is suicidal (Inside Facebook’s suicide algorithm: Here’s how the company uses artificial intelligence to predict your mental state from your posts). As social media companies have tried to detect talk of suicide and sometimes remove content that mentions it, users have found ways of getting around this by inventing new word uses, like “unalive.”

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: People historically came to cosmetic surgeons with photos of celebrities whose features they hoped to emulate. Now, they’re coming with edited selfies. They want to bring to life the version of themselves that they curate through apps like FaceTune and Snapchat.

12.4.4. Intentionally bad or offensive content# Users can also create intentionally bad or offensive content in an attempt to make it go viral (which is a form of trolling). So when criticism of this content goes viral, that is in fact aligned with the original purpose. For example, this cooking video contains an unusual recipe (SpaghettiOs as a pie filling) and unusual cooking methods (like using forearms to spread butter).

Content (posts, photos, articles, etc.)# Content recommendations can go well when users find content they are interested in. Sometimes algorithms do a good job of it and users are appreciative. TikTok has been mentioned in particular as providing surprisingly accurate recommendations, though Professor Arvind Narayanan argues that TikTok’s success with its recommendations relies less on advanced recommendation algorithms, and more on the design of the site making it very easy to skip the bad recommendations and get to the good ones. Content recommendations can go poorly when it sends people down problematic chains of content, like by grouping videos of children in a convenient way for pedophiles, or Amazon recommending groups of materials for suicide.

Another strategy for managing disability is to use Universal Design, which originated in architecture. In universal design, the goal is to make environments and buildings have options so that there is a way for everyone to use it2. For example, a building with stairs might also have ramps and elevators, so people with different mobility needs (e.g., people with wheelchairs, baby strollers, or luggage) can access each area. In the elevators the buttons might be at a height that both short and tall people can reach. The elevator buttons might have labels both drawn (for people who can see them) and in braille (for people who cannot), and the ground floor button may be marked with a star, so that even those who cannot read can at least choose the ground floor. In this way of managing disabilities, the burden is put on the designers to make sure the environment works for everyone, though disabled people might need to go out of t

When designers and programmers don’t think to take into account different groups of people, then they might make designs that don’t work for everyone. This problem often shows up in how designs do or do not work for people with disabilities. But it also shows up in other areas as well. The following tweet has a video of a soap dispenser that apparently was only designed to work for people with light-colored skin.

While we have our concerns about the privacy of our information, we often share it with social media platforms under the understanding that they will hold that information securely. But social media companies often fail at keeping our information secure.

Unclear Privacy Rules: Sometimes privacy rules aren’t made clear to the people using a system. For example: If you send “private” messages on a work system, your boss might be able to read them. When Elon Musk purchased Twitter, he also was purchasing access to all Twitter Direct Messages Others Posting Without Permission: Someone may post something about another person without their permission. See in particular: The perils of ‘sharenting’: The parents who share too much Metadata: Sometimes the metadata that comes with content might violate someone’s privacy. For example, in 2012, former tech CEO John McAfee was a suspect in a murder in Belize, John McAfee hid out in secret. But when Vice magazine wrote an article about him, the photos in the story contained metadata with the exact location in Guatemala. Deanonymizing Data: Sometimes companies or researchers release datasets that have been “anonymized,” meaning that things like names have been removed, so you can’t directly see who the data is about. But sometimes people can still deduce who the anonymized data is about. This happened when Netflix released anonymized movie ratings data sets, but at least some users’ data could be traced back to them. Inferred Data: Sometimes information that doesn’t directly exist can be inferred through data mining (as we saw last chapter), and the creation of that new information could be a privacy violation. This includes the creation of Shadow Profiles, which are information about the user that the user didn’t provide or consent to Non-User Information: Social Media sites might collect information about people who don’t have accounts, like how Facebook does

Datasets can be poisoned unintentionally. For example, many scientists posted online surveys that people can get paid to take. Getting useful results depended on a wide range of people taking them. But when one TikToker’s video about taking them went viral, the surveys got filled out with mostly one narrow demographic, preventing many of the datasets from being used as intended.

One of the main goals of social media sites is to increase the time users are spending on their social media sites. The more time users spend, the more money the site can get from ads, and also the more power and influence those social media sites have over those users. So social media sites use the data they collect to try and figure out what keeps people using their site, and what can they do to convince those users they need to open it again later. Social media sites then make their money by selling targeted advertising, meaning selling ads to specific groups of people with specific interests. So, for example, if you are selling spider stuffed animal toys, most people might not be interested, but if you could find the people who want those toys and only show your ads to them, your advertising campaign might be successful, and those users might be happy to find out about your stuffed animal toys. But targeting advertising can be used in less ethical ways, such as targeting gambling ads at children, or at users who are addicted to gambling, or the 2016 Trump campaign ‘target[ing] 3.5m black Americans to deter them from voting’

While trolling can be done for many reasons, some trolling communities take on a sort of nihilistic philosophy: it doesn’t matter if something is true or not, it doesn’t matter if people get hurt, the only thing that might matter is if you can provoke a reaction.

Ask anyone who has dealt with persistent harassment online, especially women: [trolls stopping because they are ignored] is not usually what happens. Instead, the harasser keeps pushing and pushing to get the reaction they want with even more tenacity and intensity. It’s the same pattern on display in the litany of abusers and stalkers, both online and off, who escalate to more dangerous and threatening behavior when they feel like they are being ignored.

And they also talked about the advertising motives behind supporting social causes (even if some employees do indeed support them), and the advertising motivation behind tweeting openly about how they are basing their decisions based on advertising.

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. An authentic connection can be trusted because we know where we stand. An inauthentic connection offers a surprise because what is offered is not what we get. An inauthentic connection could be a good surprise, but usually, when people use the term ‘inauthentic’, they are indicating that the surprise was in some way problematic: someone was duped.

4Chan has various image-sharing bulletin boards, where users post anonymously. Perhaps the most infamous board is the “/b/” board for “random” topics. This board emphasizes “free speech” and “no rules” (with exceptions for child pornography and some other illegal content). In these message boards, users attempt to troll each other and post the most shocking content they can come up with. They also have a history of collectively choosing a target website or community and doing a “raid” where they all try to join and troll and offend the people in that community.

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

In addition to representing data with different data storage methods, computers can also let you add additional constraints on what can be saved. So, for example, you might limit the length of a tweet to 280 characters, even though the computer can store longer strings.

Images are created by defining a grid of dots, called pixels. Each pixel has three numbers that define the color (red, green, and blue), and the grid is created as a list (rows) of lists (columns).

Bots present a similar disconnect between intentions and actions. Bot programs are written by one or more people, potentially all with different intentions, and they are run by others people, or sometimes scheduled by people to be run by computers. This means we can analyze the ethics of the action of the bot, as well as the intentions of the various people involved, though those all might be disconnected.

On the other hand, some bots are made with the intention of harming, countering, or deceiving others. For example, people use bots to spam advertisements at people. You can use bots as a way of buying fake followers, or making fake crowds that appear to support a cause (called Astroturfing)

We also see this phrase used to say that things seen on social media are not authentic, but are manipulated, such as people only posting their good news and not bad news, or people using photo manipulation software to change how they look.

Being and becoming an exemplary person (e.g., benevolent; sincere; honoring and sacrificing to ancestors; respectful to parents, elders and authorities, taking care of children and the young; generous to family and others). These traits are often performed and achieved through ceremonies and rituals (including sacrificing to ancestors, music, and tea drinking), resulting in a harmonious society.