fake news society schools
this infographic from the European Association for Viewers Interests which took me on a tour of ten types of misleading news—propaganda, clickbait, sponsored content, satire and hoax, error, partisan, conspiracy theory, pseudoscience, misinformation and bogus information.
- recognize our own biases
- “nonsense detectors
- we examine and analyze the authority of the original source
- we should triangulate the information
Student Privacy and Security Risks
Student Privacy and Pandemics: Understanding and Reducing Privacy and Security Risks
CSS generators
blackboards with an eraser that scans
Framework for machine-learning model
Framework to describe individual machine-learning model decisions
https://techxplore.com/news/2022-05-framework-individual-machine-learning-decisions.html
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more on machine learning in this IMS blog
https://blog.stcloudstate.edu/ims?s=machine+learning
the Platform Transparency and Accountability Act
Meta, TikTok and YouTube may finally have to start sharing data with researchers
A Senate hearing this week and a new law in Europe show how “transparency” advocates are winning
the Platform Transparency and Accountability Act, was introduced in December by (an ever-so-slightly) bipartisan group of senators.
“YouTube, TikTok, Telegram, and Snapchat represent some of the largest and most influential platforms in the United States, and they provide almost no functional transparency into their systems. And as a result, they avoid nearly all of the scrutiny and criticism that comes with it.”
When we do hear about what happens inside a tech company, it’s often because a Frances Haugen-type employee decides to leak it.
Cruz expressed great confusion about why he got relatively few new Twitter followers in the days before Elon Musk said he was going to buy it, but then got many more after the acquisition was announced.
The actual explanation is that Musk has lots of conservative fans, they flocked back to the platform when they heard he was buying it, and from there Twitter’s recommendation algorithms kicked into gear.
As usual, though, Europe is much further ahead of us. The Digital Services Act, which regulators reached an agreement on in April, includes provisions that would require big platforms to share data with qualified researchers. The law is expected to go into effect by next year. And so even if Congress dithers after today, transparency is coming to platforms one way or another. Here’s hoping it can begin to answer some very important questions.
Computational Thinking and Data Analysis
https://www.iste.org/explore/computational-thinking-and-data-analysis-go-hand-hand
Tip 1: Think about what can be analyzed?
Tip 2: Determine age-appropriate activities and adjust from there.
Tip 3: Give opportunities for practice.
Tip 4: Help students sift through data.
deep fake detection
New method detects deepfake videos with up to 99% accuracy
Two-pronged technique detects manipulated facial expressions and identity swaps
https://news.ucr.edu/articles/2022/05/03/new-method-detects-deepfake-videos-99-accuracy
why not every #AR / #VR app is a “#metaverse”,
https://www.linkedin.com/pulse/clarification-metaverse-xr-20-philipp-a-rauschnabel/
XR is the gateway to the metaverse.