Understanding Media Literacy Concepts

The video explores the evolution of media from 2004 to 2015, highlighting the impact of social media, smartphones, and smart devices. It discusses the future of media with technologies like virtual reality and artificial intelligence. The importance of data and algorithmic literacy is emphasized, explaining how data is collected and used, and how algorithms personalize media experiences. The video stresses the need for skepticism in media consumption, encouraging viewers to question the truth and context of media content. The series concludes with a call to action for media literacy and critical thinking.

Which year did Facebook first launch?

• 2004

• 2005

• 2006

• 2007

What is one potential future challenge of media literacy mentioned in the video?

• Increased print media

• Facial recognition in ads

• Decline of social media

• Rise of radio

What is data, according to the video?

• Unorganized facts

• Personal opinions

• Information stored in a specific format

• Random numbers

Why is context important when interpreting data?

• It makes data more colorful

• It hides the data

• It helps understand the data's relevance

• It changes the data

What is an algorithm?

• A type of dance

• A social media platform

• A set of instructions for a computer

• A musical instrument

What is the 'filter bubble'?

• A media world of familiar content

• A new social media app

• A cooking technique

• A type of soap

How do algorithms personalize content for users?

• By using user data

• By random selection

• By asking users directly

• By ignoring user preferences

What is the basic principle of future literacy?

• Optimism

• Skepticism

• Ignorance

• Acceptance

What does being skeptical mean in the context of media literacy?

• Accepting everything

• Questioning the truth of media

• Ignoring media

• Believing all media

What should you follow instead of your gut when interacting with media?

• Your instincts

• Your friends' opinions

• Your perception of bias and analysis skills

• Your emotions