Bias in News Sources
In this lesson students consider the meaning of the words “bias” and “prejudice” and consider how bias may be found even at the level of individual words due to connotation.
In this lesson students consider the meaning of the words “bias” and “prejudice” and consider how bias may be found even at the level of individual words due to connotation.
We have been witnessing a rising crescendo of conversation happening around AI and fake images online. It’s always been an issue, Photoshop and all, but it feels like there’s a snowball effect happening; AI is moving at speeds that we just can’t comprehend or keep up with.
This guide provides an overview of what AI is – and in particular Generative AI – and gives two examples of main AI tools you are likely to encounter. Then it explains some key ethical and social issues related to Generative AI.
Teachers can play a critical role in educating their students about AI, even if they aren’t experts on it. By addressing AI in ways that are designed to build students’ skills and teach them about the pitfalls of relying too much on it, teachers can help build the next generation of citizens who are empowered with the skills necessary to succeed in a world infused with AI technology.
In the same way that Canadian news reporting does not reflect Canada’s multiculturalism, racial diversity ‘behind the scenes’ of news media is similarly disproportionate. Almost a quarter of the Canadian population identifies as a member of what Statistics Canada refers to as a “visible minority,” and while a 2021 study found a similar rate of representation in newsrooms, eight in ten Canadian newsrooms have no racialized journalists in leadership roles.
In this lesson students are introduced to the key media literacy concept that media are constructions that re-present reality and consider how representations of crime in news and entertainment media may influence how we perceive members of particular groups.
Everywhere we turn, we’re hearing about artificial intelligence (AI). We already know AI is all around us – algorithms are suggesting what to watch and tools like ChatGPT and Midjourney are being used to generate the content we’re seeing. But how many of us actually understand what algorithms even are? And if you’re a parent, guardian or teacher, are you prepared to teach youth how to use AI responsibly?
Christian religions form the largest religious group in Canada today, with more than 70 per cent of the population identifying with a Christian denomination. The widespread popularity of Christianity in Canada, however, does not mean that media treatment of Christianity is always accurate or informed.
Teachers who include media literacy in their classrooms often face issues that don’t arise in other subjects. Nothing illustrates this better than the issue of diversity in media. It’s not unreasonable for teachers to see the topic as a can of worms and be concerned about offending students and their parents – not to mention worrying about what the students themselves might say. At the same time, it’s a topic that is simply too important to be ignored: what we see in media hugely influences how we see others, ourselves and the world. As a result, an ability to analyze media depictions of diversity is not only a key element of being media literate, it’s essential to understanding many of the social issues and concerns that we face as citizens. That’s why Media Awareness Network has developed That’s Not Me – a new online tutorial for professional development to help educators and community leaders approach this issue through key concepts of media literacy.
Canada is a culturally diverse country that is home to many different religions. These religions, however, are not always equally represented in Canadian media, where portrayals of religion are often stereotyped and disempowering.