Whether Meta is engaging in a form of digital colonization by imposing its version of the Internet on people around the world, or making an attempt at a global connectivity challenge. What is indisputable is that Meta has developed a monopoly trend in the global Internet space, and so it has considerable power in setting the terms of the deal in the world's Internet.

Surveillance capitalism is an economic system mostly used by internet companies to collect, analyze and profit from individuals' personal data and online behavior. meta sells targeted advertising mainly through its big data analysis and automated algorithmic manipulation. By analyzing large amounts of user data, Meta can make predictions about individual behavior and preferences, accurately pushing content and ads of interest to users, improving the efficiency of ad delivery as well as potentially influencing consumer choice. However, the direct sale of user data is likely to lead to privacy concerns and raise trust issues for users.

I think this point by Jennifer Jacquet is very interesting, which public shaming does not entirely have only negative consequences; it also has some potential moral value. For example, if a senior government official is suspected of corruption but escapes legal consequences due to political influence or lack of evidence, pressure can be applied to the individual and the system they represent through public protests and public shaming.

Public criticism is expressing disapproval or pointing out mistakes about someone or something in a public forum. Public shaming, on the other hand, is more serious and refers to ridiculing or belittling someone's behavior, characteristics or beliefs. In addition to the damage caused to children by Jimmy Kimmel's Halloween prank, a common example I can think of is body shaming on social media platforms, such as when a girl happily shares a beautiful photo of herself on a trip, but receivevd a lot of bad comments saying she's fat, which can cause damage to an individual's self-esteem and psychological well-being.

For individuals, the ways to stop harassment are 1) Set a unique password for your account, change it regularly, and enable two-factor authentication. 2) Adjusting privacy settings to limit access to personal information can minimize the risk of targeted harassment. 3) Share personal private information such as home addresses and phone numbers carefully. 4) Once harassed, promptly report to the platform.

Another group that is very vulnerable to harassment is celebrities because they have extremely high visibility and there are many people who like them and dislike them. For example, they can be subjected to online abuse, body shaming, paparazzi following them, leaks of their personal private lives, rabid fans who will follow them to their homes, and even may receive death threats.

Possible reasons for the phenomenon of a small group of power users and a large group of lurkers include the fact that power users tend to have more knowledge and experience in a particular field, and they are more confident and motivated to make the vast majority of substantive contributions. For example, when developing a software, it is often a core group of dedicated developers who submit most of the code changes and improvements, while the larger user community benefits from their contributions without actively participating in the coding.

On social media platforms, people may try to expose people who have committed perceived wrongdoings and abuse them. However these are most likely false accusations with no substantial evidence. A large number of insulting words can have serious consequences for the individual accused, including harassment, loss jobs, and even suicide. So in addition to producing positive results, ad-hoc crowdsourcing also has potential risks that require platform oversight and review.

One example that comes to my mind regarding the use of automated bots is the profanity filter. Many platforms employ automated bots to filter and block profanity or language with offensive insults. These bots automatically scan user-generated content for offensive words or phrases (keywords) and flag the content for human review or automatic removal.

Because users and advertisers may have different definitions of what is offensive. So platforms must strike a balance when making content review decisions to prevent losing customers like in the case of Tumblr's porn ban. This is difficult, but age restrictions on certain types of content can still be considered. Set stricter vetting or access controls for content that is inappropriate or harmful to minors, such as explicitly sexual content or excessive violence.

Facebook's suicide detection algorithm does reflect some of the advantages of social media platforms as a huge repository of data collection. The ability to determine the level of mental health of an individual from places such as the statements made in their daily accounts. To avoid some bad consequences, I think it's best to recommend relatively positive content for such users with high suicidal detection and reduce the continued pushing of negative content. However, since the test results are also not always accurate, it is best to avoid forceful intervention.

Examples of dumping trauma might include sharing details of a difficult breakup or discussing details of a traumatic event such as a car accident. This burdens and negatively affects the listeners online. When you find someone is pouring out trauma to you, it is best not to listen too deeply and suggest that they seek help from a professional therapist.

Often when people repost some interesting content they will add some personal creation to the original text to attract more people, but not everyone will read and understand the original author's creative expression before adapting it. This leads to content after hundreds retweets and spread will become completely different, or even opposing.

Unlike biological selection, “natural selection” in social media is a subjective decision by users to retweet content, i.e., content that is more attractive to users is more likely to be retweeted, rather than the value of the content itself. And simply just retweet certain popular topics without considering their actual value. This can lead to an echo chamber effect where certain ideas are amplified while others are marginalized, even if they are scientifically or factually ture.

For me personally, sometimes I accidentally click into something that I don't like or makes me uncomfortable, but the automated recommendation algorithm may continue to push me similar content later, which can be annoying. So I think it would be useful to have something like TikTok, where I can skip and set fewer recommendations if I'm pushed to something I don't like while auto-recommending.

Although recommendation algorithms were created to more accurately recommend content of interest to users, their operation may cause unavoidable negative results. For example, there is a risk of recommending increasingly extremist content to users who are interested in political topics. This could lead to people being exposed to harmful or misleading information. Such problems cannot be solved simply by adjusting the recommendation algorithm.

The main purpose of developing assistive technology is to help people with disabilities live more easily, not just to become "normal" in society. More examples include hearing aids and cochlear implants to help people with hearing impairments hear different sounds. Alternative communication (AAC) devices help people with communication impairments to be able to communicate with others successfully. Smart home technology helps people with physical impairments control lights, appliances, and other devices.

When we think of disability, we usually think of someone with a physical disability, such as blindness or a broken leg. But in fact, this is the result of the social definition that only people with sound limbs and functioning body organs are considered "normal". But as the first sentence explains the definition of disability: not having the ability that society expects is a disability. In this way, all of us can be disabled in one way or another.

Metadata provides information about the content, context and structure of the data. For example, when a photo taken with a cell phone contains geolocation metadata, it can identify the exact location where the photo was taken. If this photo is shared on social platforms, the exact location of the photo owner is equivalent to being exposed, so this potentially puts the person's security at risk.

When sharing information on social media platforms, it is important to focus on security. For social media companies, they store millions of users' information, such as account passwords. Without heavy encryption and the establishment of complete protection measures, there is a risk of hackers stealing and causing massive leakage of users' private information. This leaked information may be used to commit fraud against users and cause property or reputation damage. Also for these social media companies, when something like this happens, it can cause a big drop in stock price, a huge loss of users, etc.

Unintentional data poisoning has no malicious intent and is more likely to occur due to imperfections in the programming of the machine. For example, with email spam filters, if the dataset contains too much spam from a particular language or country, more likely for the filter to mark those emails as spam, even they are not. This can result in some important emails not being seen by the recipient.

Spurious correlation means that there appears to be a statistical relationship between two variables, but it is actually due to chance or a third variable. They are not causally related, although their diagrams look similar. Another example is the spurious correlation between ice cream sales and crime rates in summer, where a third variable, temperature, causes them to rise together. When the temperature is high, people demand more ice cream and become more agitated, which may lead to an increase in crime.

Some users may have real-life grievances or simply troll in order to vent their personal feelings on the internet in the form of attacks, make others painful, etc. But whatever their reasons, it is unjust to post false posts that cause harm to others, such as posting rumour about a celebrity in an attempt to expose them to online violence. This is why more and more social media platforms now require identity verification when registering, and to mitigate this behavior to some extent.

Personally, I agree with what Film Crit Hulk says. Ignoring or not responding to trolls only works to a certain extent when dealing with a few harassing or malicious comments. But most of the time, these harassers will continue to launch more dangerous attacks because they feel ignored or they feel they won. So the better ways are to collect evidence and report them to social media platforms, get them banned and blocked, and have the flexibility to use legal action to protect yourself if necessary.

Code-switching actually refers to the different ways in which we use language when communicating with different people in different contexts. For example, in a classroom or company, we use more formal expressions to show our professors or supervisors that we are professional, whereas when talking to family or close friends, we tend to use more emotive everyday language to express our actual personal feelings.

The inauthenticity of social networks is inevitable, as on many social media platforms such as facebook and twitter, all personal information is compiled by the users themselves and nobody checks them, which means that Catfishing is easy to do. Making up inauthentic identities to publish inauthentic content is all fraudulent based on personal gain. Politicians, for example, will gain more support by portraying themselves as sexual minorities.

UI refers to the way a web page is laid out, so the main focus of a UI designer is the visual presentation of the end product. Apps with good User Interface design, such as Instagram and YouTube, attract users and increase the user experience (UX) by their simple and clear interface. Thus, I think both UI and UX are important for a good app or website.

The growing number of "no rules" social media platforms is due to the fact that the virtual online world does not have the same strict and detailed legal constraints as in the real world. Many sites with harmful content such as rape, abuse, child sexual abuse, etc. are well hidden through encryption and virtual URLs. It brings together a group of people with a high propensity for crime, which also make police investigations more difficult.

In real life, the data sets we collect are complex and large, so simplifying them is necessary to carry out data analysis. However, there are limitations to data simplification because in order to obtain a model we usually still need to make assumptions, which means that no model can be a perfect representation of reality. It can only be said that a model obtained by applying data simplification is valid for a particular situation and can help us to obtain potential outcome.

Apart from those who collect data for personal interests, many people will unconsciously have a personal subconscious preference for potential outcome and will unconsciously focus more on relevant data in the process of data collection. This is where a lot of invisible inequities occur.

Bots themselves are programs made up of code with no self-awareness, but the people who create and write them often do so with different personal intentions. Even if the creators themselves are relatively impartial, it is still difficult to ensure that those people who use these bots do not have specific purposes. Therefore, it is necessary and useful to analyze the ethics of robots by analyzing the behaviors and intentions of those people involved.

Spammers are hired users who post and disseminate specific information on the internet. Most are bots but still some internet writers. They are usually used to quickly spread untrue blogs/events to attract widespread attention and deliberately guide the judgment of normal users, resulting in undesirable social consequences. Examples include disinformation about celebrities, malicious defamation of films, malicious attacks on competing companies, etc.

Modern technology is developing at a rapid pace, and even though the vast majority of emerging technologies are well-intentioned, there is no detailed regulation at the legal level to govern these technologies. The unregulated use of AI face swapping, for example, and the creation of false and inaccurate pornographic images of women can cause great distress in their lives. So while it is good that technology is advancing, the law is still needed to regulate the moral and ethical issues it may raise.

Confucianism has had a profound influence in China since ancient times, and its founder was Kongzi, the most famous thinker of ancient China. What is described here as an exemplary figure is in fact the rule of "Li" of the three main Confucian doctrines, in addition to the rule of "De" doctrine, which means that no matter how good or bad human nature is, it is possible to educate people with morality and not with legal sanctions. There is also the rule of 'Ren' doctrine, which treats people as 'human beings' who are capable of change and have a complex choice of initiative and an ethical nature.