Quotedfrom email about "Policy change in regards to Social Media use for social learning from Centre for Innovation, Leiden University" by Tanja de Bie, Community Manager (Centre for Innovation, Leiden University via Coursera)
The Centre for Innovation of Leiden University has always strongly supported social or collaborative learning in online learning: the interaction between learners facilitating learners, whether that is in discussion forums, peer review assignments or in our Facebook groups, contributes to a deeper understanding of subjects, and prepares learners to apply their knowledge.
Therefore we have decided to close all Facebook groups, Whatsapp groups and Instagram accounts currently under control of the Centre for Innovation, per the 29th of March 2019, and have adjusted our courses accordingly.
On behalf of Centre for Innovation, Leiden University,
Tanja de Bie, Community Manager
At least part of Leiden University is apparently making the moral and ethical call to close all their Facebook related properties. Kudos! They’ve already got a great website, perhaps they’ll move a bit more toward the IndieWeb?
The Data Transfer Project was formed in 2017 to create an open-source, service-to-service data portability platform so that all individuals across the web could easily move their data between online service providers whenever they want.
The contributors to the Data Transfer Project believe portability and interoperability are central to innovation. Making it easier for individuals to choose among services facilitates competition, empowers individuals to try new services and enables them to choose the offering that best suits their needs.
Current contributors include: Facebook, Google, Microsoft, Twitter
The Data Transfer Project makes it easy for people to transfer their data between online service providers. We are establishing a common framework, including data models and protocols, to enable direct transfer of data both into and out of participating online service providers. http://datatransferproject.dev
In what way are avatars a privacy risk? To display an avatar image, you publish an encrypted version (MD5) of the e-mail address in the gravatar’s image URL. Gravatar.com then decides if there is an avatar image to deliver, otherwise the default image is delivered. The default image’s address is also part of the overall gravatar …
I’m going on the journey of building a simple, private, self-hosted, cookie-free analytics tool that I’m calling Kownter. I may fail. But it will be fun and interesting! Come along!
Hi, My name is Ross. I’ve been thinking a lot about GDPR lately and considering how I will become compliant with it as I run my business and projects, so I’m looking to slim down the data that I capture about people.
The topics of both analytics and server logs have come up several times. It’s not entirely clear to me that either fall into the category of personal data, but I’ve been considering my use of them anyway.
I use Google Analytics on most sites/projects that I create, but I’m not that sophisticated in my use of it. I’m mostly interested in:
how many visitors I’m getting and when
which pages are popular
where people are coming from
and it occurred to me that I can collect this data without using cookies and without collecting anything that would personally identify someone.
I would also be happier if my analytics were stored on a server in the EU rather than in the US – I can’t find any guarantee that my Google Analytics data is and remains EU-based.
I’m aware that there are self-hosted, open-source analytics solutions like Matomo (previously Piwik) and Open Web Analytics. But they always seem very large and clunky. I’ve tried them and never got to grips with them.
So I wondered: how hard would it be to build my own, simple, high-privacy, cookie-free analytics tool?
In the run-up to Friday’s launch of the new GDPR privacy protections, most of the focus has been on how it will affect huge data-mining tech giants like Google and Facebook. But as many people are finding out today, GDPR applies to any site that collects user data or, in the case of publishers like Gizmodo Media Group, displays advertisements that collect this data. What that really means in practice is extremely complicated.
It’s the “morning after”: a mere twelve hours have passed since the GDPR applies and while still awaiting breaking news on hobbyist blog owners being fined EUR 20 million, an army of burnt-out web and legal professionals has begun to clean up from the party that was “the final dash towards GDPR”.
A nice article pushing folks to focus more on the privacy portion of the discussion rather than the non-nonsensical technical GDPR regulations.
tl;dr: Do unto others as you would have them do unto you.
Since tracking people took off in the late ’00s, adtech has grown to become a four-dimensional shell game played by hundreds (or, if you include martech, thousands) of companies, none of which can see the whole mess, or can control the fraud, malware and other forms of bad acting that thrive in the midst of it.
And that’s on top of the main problem: tracking people without their knowledge, approval or a court order is just flat-out wrong. The fact that it can be done is no excuse. Nor is the monstrous sum of money made by it.
Some interesting thought and analysis here on the pending death of adtech with the dawn of GDPR in the EU. I’m hoping that this might help bring about a more humanistic internet as a result.
There’s a lot to unpack here, but it looks like some tremendously valuable links and resources embedded in this article as well. I’ll have to circle back around to both re-read this and delve more deeply in to these pointers.
Running time: 1 h 16m 00s | Download (23.8 MB) | Subscribe by RSS
Summary: With the GDPR regulations coming into effect in Europe on May 25th, privacy seems to be on everyone’s mind. This week, we tackle what webmentions are, using them for backfeed, and the privacy implications.