The Coral Project
▻https://coralproject.net/about
The Coral Project brings journalists and the communities they serve closer together through open-source tools and strategies. Our goals:
– To increase public trust in journalism
– To improve the diversity of voices and experiences in reporting
– To make journalism stronger by making it more relevant to people’s lives
– To create safer, more productive online dialog
“Firefox is now going to censor the internet and decide for you what is true and what isn’t because you’re an idiot.”
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The Mozilla Information Trust Initiative: Building a movement to fight misinformation online
▻https://blog.mozilla.org/blog/2017/08/08/mozilla-information-trust-initiative-building-movement-fight-misinform
[...]
Misinformation is a complex problem with roots in technology, cognitive science, economics, and literacy. And so the Mozilla Information Trust Initiative will focus on four areas:
Product
Mozilla’s Open Innovation team will work with like-minded technologists and artists to develop technology that combats misinformation.
Mozilla will partner with global media organizations to do this, and also double down on our existing product work in the space, like Pocket, Focus, and Coral. Coral is a Mozilla project that builds open-source tools to make digital journalism more inclusive and more engaging.
Literacy
We can’t solve misinformation with technology alone—we also need to educate and empower Internet users, as well as those leading innovative literacy initiatives.
Mozilla will develop a web literacy curriculum that addresses misinformation, and will continue investing in existing projects like the Mission: Information teaching kit.
Research
Misinformation in the digital age is a relatively new phenomenon. To solve such a thorny problem, we first need to fully understand it.
Later this year, Mozilla will be releasing original research on how misinformation impacts users’ experiences online. We will be drawing on a dataset of user-level browsing data gathered during the 2016 U.S. elections.
[...]
The crowdsourcing movement to improve African maps — Quartz
▻http://qz.com/829459/the-crowdsourcing-movement-to-improve-african-maps
▻https://qzprod.files.wordpress.com/2016/11/rtx1cslj-e1478534271617.jpg?quality=80&strip=all&w=1600
In map after map after map, many African countries appear as a void, marked with a color that signifies not a percentage or a policy but merely offers an explanation: “no data available.”
Where numbers or cartography has left African countries behind, developers are stepping in with open-source tools that allow anyone from academics to your everyday smartphone user to improve maps of the continent.
#Afrique (manque un « a ») #crowdsourcing #cartographie #visualisation
Free #vector #tiles from OpenStreetMap – OSM2VectorTiles
▻http://osm2vectortiles.org
Create a custom base #map in minutes with our free vector tiles from OpenStreetMap data. Easiest way how to switch to #osm thanks to MapBox open-source tools. Design your own map of world or country, serve raster or vector tiles from any virtual #server or your own infrastructure, even offline behind a firewall.
ici une (très!) jolie carte vectorielle (thème : le ski)
▻https://www.mapbox.com/blog/ski-mapbox-studio
Social Network Analysis Reveals Full Scale of Kremlin’s Twitter Bot Campaign · Global Voices
▻http://globalvoicesonline.org/2015/04/02/analyzing-kremlin-twitter-bots
With the aid of open-source tools, Internet researcher Lawrence Alexander gathered and visualised data on nearly 20,500 pro-Kremlin Twitter accounts, revealing the massive scale of information manipulation attempts on the RuNet. In what is the first part of a two-part analysis, he explains how he did it and what he found.
(…)
Using the open-source #NodeXL tool, I collected and imported a complete list of accounts tweeting that exact phrase ["Ukrainians killed him...he was stealing one of their girlfriends" in russian] into a spreadsheet. From that list, I also gathered and imported an extended community of Twitter users, comprised of the friends and followers of each account. It was going to be an interesting test: if the slurs against Nemtsov were just a minor case of rumour-spreading, they probably wouldn’t be coming from more than a few dozen users.
But once the software had finished crunching data, the full scale of the network was revealed: a staggering 2,900 accounts. This figure is perhaps understandable: for a fake Twitter account to be credible, it needs plenty of followers—which in turn requires more supporting bots.
Then I used #Gephi, another free data analysis tool, to visualize the data as an entity-relationship graph. The coloured circles—called Nodes—represent Twitter accounts, and the intersecting lines—known as Edges—refer to Follow/Follower connections between accounts. The accounts are grouped into colour-coded community clusters based on the Modularity algorithm, which detects tightly interconnected groups. The size of each node is based on the number of connections that account has with others in the network.
Data Science Toolkit
▻http://www.datasciencetoolkit.org
A collection of the best open data sets and open-source tools for data science, wrapped in an easy-to-use REST/JSON API with command line, Python and Javascript interfaces. Available as a self-contained Vagrant VM or EC2 AMI that you can deploy yourself. It’s essentially a specialized Linux distribution, with a lot of useful data software pre-installed and exposing a simple interface. For full documentation, see (...)
The CryptoParty Handbook - CryptoParty
►https://cryptoparty.org/wiki/CryptoPartyHandbook
This 392 page, Creative Commons licensed handbook is designed to help those with no prior experience to protect their basic human right to Privacy in networked, digital domains. By covering a broad array of topics and use contexts it is written to help anyone wishing to understand and then quickly mitigate many kinds of vulnerability using free, open-source tools. Most importantly however this handbook is intended as a reference for use during Crypto Parties.
You can download the 392 page book as a free, 28Mb PDF here
►http://www.hostb.org/97/download
End-to-End Correlation is a way of matching an online identity with a real person.
A recent case of this involved the FBI wanting to prove that the man Jeremy Hammon was behind an alias known to be responsible for several Anonymous attacks. Sitting outside his house, the FBI were monitoring his wireless traffic alongside a chat channel the alias was known to visit. When Jeremy went online in his apartment, inspection of the wireless packets revealed he was using Tor at the same moment the suspected alias associated with him came online in the surveilled chat channel. This was enough to incriminate Jeremy and he was arrested.