Frequent tropes of health and science news
Like other genres and sub-genres, health and science news has standard tropes that are used by journalists and expected by audiences. These can have an impact on the accuracy and reliability of coverage.

Like other genres and sub-genres, health and science news has standard tropes that are used by journalists and expected by audiences. These can have an impact on the accuracy and reliability of coverage.

Health and science reporting is influenced both by economic norms (the conditions and constraints in which journalists do their jobs) and journalistic norms, such as objectivity and balance.[1] Both of these have an impact on how reporting on these topics is done.

If a news consumer reads a headline from The Globe and Mail while searching Google News, is the story from Google or The Globe? What about if a friend posts the story on Facebook; is the story from the friend, Facebook or The Globe? How can the complexities of what is meant by “source” in a converged news environment be accounted for?

The creation of ‘crime news’ is “invariably the result of a long process of selection where the raw material is sifted, shaped, edited and recreated.” The choices made during this process often prioritize ease of production, drama and law enforcement narratives.

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We always hear that sharing is a good thing. And thanks to technology, we can share our ideas, opinions, pictures and videos with our friends and other people we choose to share it with. Most of the time, sharing is good. But if we aren’t thoughtful about how we share, we run the risk of hurting ourselves or someone else. Also, remember that the things you share with your friends can end up being shared with others. That’s why it’s important to think before you share.

My middle daughter hates looking over my shoulder when I’m on my Instagram account and seeing that I have many, many unwatched “stories.”

In this lesson, students learn about algorithms and AI, how they work, how they impact our lives on the internet, and ethical considerations. The lesson begins with a class discussion on algorithms. Students will discuss how AIs reinforce real-world biases, the difficulties in identifying how AIs make decisions, what information algorithms use to make choices, and how that information impacts the types of decisions AIs make. Finally, students will demonstrate their knowledge by researching and designing an infographic on a field that uses algorithms to make decisions. This lesson aims to build critical thinking skills by examining how AI algorithms work, investigating the biases and impacts of AI decision-making, and reflecting on how the implications to their own lives.