> Unlike blanket bans, A.B. 2071 and A.B. 2298 address online safety through education rather than prohibition. [...]

+1.

> A.B. 2071 and A.B. 2298 fill critical gaps in California’s school curricula by equipping students with actionable skills. A.B. 2071 integrates digital wellness into middle and high school health classes, teaching students how to identify unhealthy tech habits, protect their personal safety, and evaluate digital content—including AI-generated media—for credibility and bias. Meanwhile, A.B. 2298 adds cybersecurity concepts to recommended school curricula, teaching young people how to safeguard their personal data from online threats.

OER (Open Educational Resource) Curricula recommendations for this?

A few resources for Digital Literacy:

From https://news.ycombinator.com/item?id=35675139#35676503 :

> Media Literacy: https://en.wikipedia.org/wiki/Media_literacy#Media_literacy_...

Internet safety: https://en.wikipedia.org/wiki/Internet_safety

Trust & Safety: https://en.wikipedia.org/wiki/Trust_and_safety

Project Interland game: https://beinternetawesome.withgoogle.com/en_us/interland/

Be Internet Awesome Digital Citizenship Safety Family Guide [PDF]: https://storage.googleapis.com/gweb-interland.appspot.com/en...

AAP HealthyChildren.org > Family Media Plan: https://www.healthychildren.org/English/fmp/Pages/MediaPlan....

Journalism > Ethics and Standards: https://en.wikipedia.org/wiki/Journalism#Ethics_and_standard...

"The New York Times course to teach its reporters data skills is now open-source" (2019) https://news.ycombinator.com/item?id=20173228

DDJ: Data-Driven Journalism: https://en.wikipedia.org/wiki/Data-driven_journalism

Data Science; as an interdisciplinary major or minor:

There are very few ways to do actual causal analysis given only observational data. It is inappropriate to make statements about causal relations given only observational data without causal analysis.

Typical statistical mistakes in media; e.g. from new articles from this month.

Misuse of Statistics: https://en.wikipedia.org/wiki/Misuse_of_statistics

From "Environment shapes emotional cognitive abilities more than genes" https://news.ycombinator.com/item?id=40110151 :

> From "The World Needs Computational Social Science" https://news.ycombinator.com/item?id=37746921 :

>> "Answering causal questions using observational data" (2021) [PDF] https://www.nobelprize.org/uploads/2021/10/advanced-economic... .. https://www.nobelprize.org/prizes/economic-sciences/2021/pop...

Causal analysis; https://en.wikipedia.org/wiki/Causal_analysis

Causal inference > Malpractice in: https://en.wikipedia.org/wiki/Causal_inference#Malpractice_i...

Spurious relationship: https://en.wikipedia.org/wiki/Spurious_relationship

"Spurious Correlations": https://www.tylervigen.com/spurious-correlations :

What is the statistical correlation (Pearson R-value) between Per capita consumption of cheese and _________ ? Is that a causal relationship? Could it be?

"Computational and Inferential Thinking: The Foundations of Data Science" https://inferentialthinking.com/; was originally developed for the course "Data 8: Foundations of Data Science" as a Jupyter Book (a book built from Jupyter Notebooks and Markdown documents and a _toc.yml).

An exercise adapted from College English Composition I/II: Underline each premise, Underline Facts and opinions/preferences/biases differently, Identify sources/citations/footnotes and credibility of each, Assess the logical form of the argument/claim. Find multiple contradictory viewpoints.

Meta-analysis: https://en.wikipedia.org/wiki/Meta-analysis

Fact checking: https://en.wikipedia.org/wiki/Fact-checking

Thing > CreativeWork > Review > ClaimReview: https://schema.org/ClaimReview

AAP > Healthy Digital Habits resources: https://www.aap.org/en/news-room/campaigns-and-toolkits/heal...