When social media companies like Facebook hire moderators, they often hire teams in countries where they can pay workers less
Oftentimes bigger companies cut corners in order to maintain their maximum output and income. With being paid less, their working conditions are extremely severe and inhumane. These "max-moderators" lose their social and moral integrity in order to produce more.
So this often means moderation to stop trolling and harassment.
This brings to quesiton many site's option for anonymity towards users for any purpose. We find that most times people feel more comfortable when it comes to online posting because there are no immediate repercussions to their actions. Anonymity provides these users an extra protective layer towards their hurtful actions and can provide stronger hateful media platform uses.
So those Redditors suggested they spam the site with fake applications, poisoning the job application data, so Kellogg’s wouldn’t be able to figure out which applications were legitimate or not
This emphasizes that trolling and data poisoning aren't necessarily a bad thing; we see the word "poison" and instantly think of negative connotations like illness, fatigue, and death. However, it can often be used in a positive light, as in this example, where they used it to fight back against a massive corporation that chose greed over humanity. The same can be said of the ICE applications recently: people began applying to ICE just to deny the position, stalling DHS and wasting the time they would have used to hire, but then undertrain, overpay, and undermine immigration security.
By looking at enough data in enough different ways, you can find evidence for pretty much any conclusion you want.
Data that launches a conclusion hardly means it's the cause (correlation does not mean causation), and people often forget that. Treating every correlated data set we find that boosts our personal, political, or other beliefs has been the pinnacle of interaction online because more often than not, people force their beliefs in what they found to try and sway the opposition. They don't want to debate or understand the other side; they only want to win the argument.
without facing negative consequences from people you know.
We often see this when it comes to politics specifically contemporary politics. Social media platforms have become a major influence in politics and how people react to politics show their true colors on what they believe. Statistically people are ruder online than they would be in person.
We also may change how we behave and speak depending on the situation or who we are around, which is called code-switching.
Ever since social media became popular, it’s been much harder to determine who’s genuine versus who puts on a show to conform to society. I think social media has become a breeding ground for loss of connection to self and persona.
If we are writing down what someone said, we are losing their tone of voice, accent, etc.
Context is almost always lost when it comes to written word; we use writing as an outlet for history and culture and communication. However, context and syntax are crucial to many of these outlets. That’s why whenever you read something it should always be read in the best tone for the context of the situation.
But, since the donkey does not understand the act of protest it is performing, it can’t be rightly punished for protesting.
I appreciate this analogy; it can also resemble our current state of our own country when people often do not take accountability for their actions because they did not participate “first hand.” Online has taken this donkey protest dilemma to the extreme; often times people are extremely more outspoken on beliefs or topics because they’re behind a screen, much like controlling bots where they don’t believe they should be held accountable for what the bot had posted/said online because “it wasn’t me!”
Psuedocode is intended to be easier to read and write.
In other words, it’s like the fundamental structure for more developed code? It could be interpreted as the building blocks for what humans can understand of the vast universe of coding.