Critical thinking is a key skill in media and information literacy, and the mission of libraries is to educate and advocate its importance.
Discussions about fake news has led to a new focus on media literacy more broadly, and the role of libraries and other education institutions in providing this.
When Oxford Dictionaries announced post-truth was Word of the Year 2016, we as librarians realise action is needed to educate and advocate for critical thinking – a crucial skill when navigating the information society.
IFLA has made this infographic with eight simple steps (based on FactCheck.org’s 2016 article How to Spot Fake News) to discover the verifiability of a given news-piece in front of you. Download, print, translate, and share – at home, at your library, in your local community, and on social media networks. The more we crowdsource our wisdom, the wiser the world becomes.
How Can Tabula Help Me?
If you’ve ever tried to do anything with data provided to you in PDFs, you know how painful it is — there's no easy way to copy-and-paste rows of data out of PDF files. Tabula allows you to extract that data into a CSV or Microsoft Excel spreadsheet using a simple, easy-to-use interface. Tabula works on Mac, Windows and Linux.
Who Uses Tabula?
Tabula is used to power investigative reporting at news organizations of all sizes, including ProPublica, The Times of London, Foreign Policy, La Nación (Argentina), The New York Times and the St. Paul (MN) Pioneer Press.
Grassroots organizations like SchoolCuts.org rely on Tabula to turn clunky documents into human-friendly public resources.
And researchers of all kinds use Tabula to turn PDF reports into Excel spreadsheets, CSVs, and JSON files for use in analysis and database applications…
SecureDrop is an open source whistleblower submission system that media organizations and NGOs can install to securely accept documents from anonymous sources. It was originally created by the late Aaron Swartz and is now managed by Freedom of the Press Foundation. SecureDrop is available in 20 languages
Everything you wanted to know about media metadata, but were afraid to ask
Metadata comes in handy sometimes, like when you’re flipping through old pictures by date, or by location. But in the wrong hands, this same information could be damaging.
Check out our MacOS/Windows Software on our official webpage.
Fawkes is a privacy protection system developed by researchers at SANDLab, University of Chicago. For more information about the project, please refer to our project webpage. Contact us at fawkes-team@googlegroups.com.
We published an academic paper to summarize our work “Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models” at USENIX Security 2020.
About
This package contains an OCR engine – libtesseract and a command line program – tesseract. Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (—oem 0). It also needs traineddata files which support the legacy engine, for example those from the tessdata repository.
The lead developer is Ray Smith. The maintainer is Zdenko Podobny. For a list of contributors see AUTHORS and GitHub's log of contributors.
