Data & Society — The Promises, Challenges, and Futures of Media Literacy Contemporary media literacy programs–commonly organized around the five main themes of youth participation, teacher training and curricular resources, parental support, policy initiatives, and evidence base construction–have demonstrated positive outcomes, particularly in the case of rapid responses to breaking news events, connecting critical thinking with behavior change, and evaluating partisan content. However, media literacy efforts continue to struggle with a lack of comprehensive evaluation data, with some research showing programs can have little-to-no impact for certain materials, or even lead to harmful overconfidence in assessing media content. Report authors Monica Bulger and Patrick Davison make five recommendations to guide the future of media literacy programming for educators, legislators, technologists, and philanthropists in the space.
Disclosure Statement The purpose of this Disclosure Statement is to position what you might find on my blog. This is heavily cribbed from David Weinberger who I adore and find to be a brilliant mentor. First things first, I am not speaking on behalf of my employer (Microsoft Research) and what I say on my blog may not reflect the beliefs or interests of my employer. This is a personal blog. I say what I want and no one pays me to write this blog or say particular things in it. I am not compensated for my blog – I do not run ads, no one pays me under the table, and I don’t sell Apophenia t-shirts or coffee mugs or chachkas of any kind. Attachments I am currently employed by Microsoft Research. I have advised or consulted for numerous companies over the years on short-term gigs, sometimes for pay and sometimes because they’re friends of mine. My research has been or is funded by many foundations, including the John D. and Catherine T. Objects of Study Universities Conferences Free stuff Links Friends and Followers
Smart, dumb, candybar, flip, and brick: a visual history of mobile phones For most of their history, mobile phones have been shrinking. Small meant portable; it even, in the not too distant past, was a sort of status symbol. Remember Motorola’s runaway hit, the ultra-thin Razr? But something funny happened on the smartphone’s way to success. Years ago, your colleagues might have laughed at you if you couldn’t fit your phone in your pocket. If screen sizes continue to grow, you might want to invest in bigger pockets, a bulkier handbag, a man purse, or even a whole new way to carry your phone. Correction: An earlier version of this article stated that the Razr was Nokia’s runaway hit.
How to Use 43 Folders A very simple guide to leaving here quickly so you can get back to making something awesome. Ask yourself… Why am I here right now instead of making something cool on my own? What’s the barrier to me starting that right now? This is not an insult or put-down. What Sucks? Looking for specific answers to what sucks for you today? More ideas Still sucking? Still Lost? Try a mental sweep, do a shitty first draft, or consider a modest change. Maybe just get away from the computer for a while by taking a nice walk. How to Know When You’re Done Here You’re done here whenever you’ve found just enough information to get you back on track for today. We love having you visit with us here, and we hope you’ll return many times — whenever you think we might have something that might help you get over the hump. The Only “Productivity” That Matters The best advice we can offer is to just put your head down, push yourself harder, and try to figure out what you need to change today to get a little better.
Datasets | Science On a Sphere Playlist Builder ../ftp_mirror/atmosphere/lightning/media/thumbnail_small.jpg Annual Lightning Flash Rate Map dataset.php?id=6 Annual Lightning Flash Rate Map Description Before scientists had satellites to detect and measure lightning frequency, it was thought that there were globally 100 lightning flashes per second, an estimate that dates back to 1925. It is clear from this map that the distribution of lightning flashes around the world is uneven. Notable Features Highest lightning flash frequency is 159 flashes per year in Central Africa Florida has the highest flash frequency in the United States The color variation indicates the flash frequency according to the color bar Use lighting Details Media Preview Interactive Sphere View Movie .. Is it Down - Check website status from this USA based server, you can confirm if a website is down or have any error
The future of data-driven decision-making Executive summary Today, successful digital enterprises in every industry require a digital strategy that recognises the value of data, and digital institutions now need to embrace big data too. Doing so will enable the institution to take advantage of emerging techniques and approaches such as Gartner's Insight Engines to generate actionable insights, improving equality and efficiency. Data strategies need to take account of how data is collected, processed, stored, and acted upon, as well as its governance, provenance, and quality concerns, and the data literacy of both staff and students. It is no longer enough for any organisation to rely solely upon data specialists working in silos. Data is everywhere. Of course, it is not sufficient simply to focus on exposing, collecting, storing, and sharing data in the raw. Learning analytics - the application of analytics in an educational context - is beginning to show real signs of success in areas such as student retention. Big data storage
What does the Internet look like? A multilayer graph model of the internet topology What does the Internet look like and how can data be navigated it around it most efficiently and effectively? That is the question that a paper detailing a multilayer graph model of the internet topology could answer. Details are reported in the International Journal of Networking and Virtual Organisations. Georg Tilch and Benjamin Fabian of the Humboldt University of Berlin, and Tatiana Ermakova of the Central Research Institute of Ambulatory Health Care, in Germany discuss how internet maps can be used to develop effective routing algorithms. The team has studied so-called traceroute datasets from various large-scale measurement campaigns such as iPlane, CAIDA, Carna, DIMES, RIPE Atlas and RIPE IPv6L. "By employing a broad diversity of graph measures, this study creates an exhaustive snapshot of the global internet topology," the team writes. More information: Georg Tilch et al. Citation: What does the Internet look like? This document is subject to copyright.
How an ex-YouTube insider investigated its secret algorithm YouTube’s recommendation system draws on techniques in machine learning to decide which videos are auto-played or appear “up next”. The precise formula it uses, however, is kept secret. Aggregate data revealing which YouTube videos are heavily promoted by the algorithm, or how many views individual videos receive from “up next” suggestions, is also withheld from the public. Disclosing that data would enable academic institutions, fact-checkers and regulators (as well as journalists) to assess the type of content YouTube is most likely to promote. By putting a wall around its data, YouTube, which is owned by Google, protects itself from scrutiny. The ex-Google engineer said his method of extracting data from the video-sharing site could not provide a comprehensive or perfectly representative sample of videos that were being recommended. How Chaslot’s software works The program simulates the behaviour of a YouTube user. Content analysis Missing videos and bias Supplementary count
How to Find the Most Recent Satellite Imagery Anywhere on Earth | Azavea At Azavea, we help our clients use machine learning and satellite imagery to map places all over the world—we’ve trained AI to map everything from buildings, to bodies of water, to solar panels and crosswalks. But every project starts with the same question: based on what you care about in the imagery, what’s the newest, cheapest, and highest-resolution imagery we can find? Today, we’re sharing our simple tool for triaging these requests along with plenty of links to help guide you to the right image for your needs! Here is a simple flowchart to find the right recent satellite imagery source for your project: Free, browsable data If you are just curious about seeing the most recent high-resolution image you can find for a given area of interest, and you don’t care about getting access to the raw images or using what you see for some commercial purpose, far-and-away the best tool you can use is Google Earth’s Explore New Satellite Imagery Tool. Paid, browsable data Free, downloadable data
Guide To Using Reverse Image Search For Investigations Reverse image search is one of the most well-known and easiest digital investigative techniques, with two-click functionality of choosing “Search Google for image” in many web browsers. This method has also seen widespread use in popular culture, perhaps most notably in the MTV show Catfish, which exposes people in online relationships who use stolen photographs on their social media. However, if you only use Google for reverse image searching, you will be disappointed more often than not. This guide will walk through detailed strategies to use reverse image search in digital investigations, with an eye towards identifying people and locations, along with determining an image’s progeny. Beyond Google The first and most important piece of advice on this topic cannot be stressed enough: Google reverse image search isn’t very good. As of this guide’s publication date, the undisputed leader of reverse image search is the Russian site Yandex. Yandex Bing Google Five Test Cases Isolated: Student