D.No one, no matter how strong, is invulnerable
Explanation:
The load is a story from Aesop's fable and clearly has moral behind all of the small tales that are presented in the book.
This story is about a merchant who makes a donkey carry a load through a particularly rough terrain over and over again and uses the same method when failing to do so.
They do not succeed until it appears to them that using the same method will always come out with the same result.
No matter how much their method has worked for them, no matter how strong it is, it will be vulnerable to fail sometimes.
Try writing a this is about what you wanna do when you graduate high school.Exp."this is what I wanna be in 10-25 years from now I wanna be a science teacher and doctor".
Answer:
She had lost her best friend,
Explanation:
Based on the passage given, the narrator states that she had entered the "world of teenagers" even before she became one and then she lost her best friend Lynette Gardner who was her best friend "until February when she turned thirteen".
The change that the details help the writer explain is that the writer had lost her best friend
Answer:
Social media are among the primary sources of news in the U.S. and across the world. Yet users are exposed to content of questionable accuracy, including conspiracy theories, clickbait, hyperpartisan content, pseudo science, and even fabricated “fake news” reports.
It’s not surprising that there’s so much disinformation published: Spam and online fraud are lucrative for criminals, and government and political propaganda yield both partisan and financial benefits. But the fact that low-credibility content spreads so quickly and easily suggests that people and the algorithms behind social media platforms are vulnerable to manipulation.
As AI's reach grows, the stakes will only get higher. ... by algorithms: what we see (or don't see) in our news and social media ... Consider a recent write-up in Wired, which illustrated how dating app algorithms reinforce bias.
Other algorithms on social media may reinforce stereotypes and preferences as they process and display "relevant" data for human users, for example, by selecting information based on previous choices of a similar user or group of users. Beyond assembling and processing data, bias can emerge as a result of design.
