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The Graph API: Key Points in the Facebook and Cambridge Analytica Debacle
Reporters should be able to convey in broad terms how users’ personal data was obtained with the Graph API v1.0, and explain to readers why their data was open to mass collection purposes. This will help provoke questions and scenarios about how it was used and where it might have ended up. This technological literacy is a prerequisite to informed reporting on what Cambridge Analytica, Facebook and other political propaganda and media manipulation events mean for society, elections, and the future of technology and democracy.
Facebook  FacebookGraphAPI  personalData  socialGraph  privacy  permissions  consent  apps  ICO  UK  USA  FTC  regulation  settings  CambridgeAnalytica 
march 2018 by petej
The Long Life of a Data Trail | FunnyMonkey
"When a student is signed up for a service by a school or teacher, data is collected from people who have no say in forming the relationship or shaping the terms of the deal. In some cases, this involves student work being sold without student knowledge. The fact that EdTech comanies treat student data (which really is a track record of learning, personal interest, and growth) as an asset to be bought or sold is on very shaky ground, both pedagogically and ethically. Given that a learning record is also - to an extent - a snapshot of behavior, and that behavioral info is gold for marketers, it raises the real question: why should edu records ever have the possibility of ending up outside an educational context? Treating records as a financial asset that can be acquired in a merger/bankruptcy ensures that some records end up being used outside an edu context. The combination of the "fail faster" mantra of VC funded tech, combined with ongoing deals - over 8 billion dollars worth in 2014 alone - ensure that student data is getting sold and used outside an educational context.

When a technology company reserves the right to sell user data in case of bankruptcy, they are hedging their bets. By claiming a stake in user data - instead of getting firmly behind their product or service - they are telling us that they do not have complete confidence in their product. And when a company tells us that: we should listen, and return the favor. If a company doesn't have enough faith in their product to leave user data off the table as an asset, we should match their level of faith - and not use their product."
education  technology  edtech  data  personalData  teachers  schools  students  parents  children  privacy  tos  apps  trust  business  dataBrokers 
november 2014 by petej
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