Fake News and News Literacy TCEA February 2018
Fake News and News Literacy TCEA February 2018
Introduction – Sarah Morris • Librarian and curriculum designer • Co-Founder of Nucleus Learning Network, an Austin-based education nonprofit • Former museum educator with a focus on STEM and digital and media literacy
Word Association: Share the first thing that comes to mind when you hear “fake news”
Word Association: Share the first thing that comes to mind when you hear “media literacy”
Background: Fake News and Misinformation
Types of Misinformation First. Draft 7 Types of Mis and Disinformation. https: //firstdraftnews. com/misinfo-types-uk-election/ Used with permission from Mis. Info. Con conference https: //misinfocon. com/
Types of Misinformation Digital Forensic Research Lab identifies three types: • Fake News: “deliberately presenting false information as news” • Disinformation: “deliberately spreading false information” • Misinformation: “the unintentional spreading of false information” Source: https: //medium. com/dfrlab/fake-news-defining-and-defeating-43830 a 2 ab 0 af
Media Literacy Skills and competencies that help people • Understand information ecosystems • Find credible information • Evaluate information • Synthesize and use information effectively • Use tools to create and share information • Keep information secure Media literacy can empower people with the skills they need to consume, produce, and distribute information
Computer Science and Media Literacy • Important to understand the following: • how technology is used to create and distribute information • how technology shapes our information ecosystems • how technology mediates our experiences encountering news and information Computer science can be used to enhance media literacy education, and vice versa, with a shared focus on how systems work and how to create and make things.
Computer Science and Media Literacy Studies on where people get their news from, their internet usage habits, and how people feel about media: PEW Surveys: http: //www. journalism. org/2016/07/07/pathways-tonews/ http: //www. journalism. org/2017/09/07/news-use-acrosssocial-media-platforms-2017/ Knight Foundation: https: //medium. com/trust-media-and-democracy/10 reasons-why-americans-dont-trust-the-mediad 0630 c 125 b 9 e
Computer science can help people better understand how news and information are created, and help people better create and share items online themselves
Mozilla’s Web Literacy • Mozilla’s Web Literacy and Internet Health Report can act as frames for thinking about the connections between computer science education and media literacy education https: //www. mozilla. org/en-US/internet-health/ and https: //learning. mozilla. org/en-US/web-literacy
Mission: Information Curriculum https: //nucleus-network. github. io/missioninfo/
Curriculum Ideas Call for participation - exploring algorithms and networks with media mapping exercises Analyzing and designing media with Media-Breaker and Scratch • Analyze with Media Breaker: http: //thelamp. org/portfolio/media-breaker/ • Create with Scratch: https: //scratch. mit. edu/ Use X-Ray Goggles to code and learn how sites can manipulate and be manipulated • X-Ray Goggles: https: //goggles. mozilla. org/ Host a mini hackathon where kids can explore and design tools to combat misinformation – major push for fact checking apps and natural language processing tools • Inspiration: http: //www. smartchicagocollaborative. org/hackforchange/ • National Day of Civic Hacking: https: //www. codeforamerica. org/events/national-dayof-civic-hacking-2017
Share your ideas! What ideas do you have for activities to try? How have you approached fake news and misinformation in your teaching?
Breakout sessions – Experiment and Explore Handout – http: //bit. ly/2 E 4 Au 6 n
Final thoughts and questions
See the slides and other resources at: http: //bit. ly/2 n. Axwll
- Slides: 18