Data
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Note: The following is an excerpt from Pete Warden’s free ebook “Where are the bodies buried on the web? Big data for journalists.” There’s been a revolution in data over the last few years, driven by an astonishing drop in the price of gathering and analyzing massive amounts of information. It only cost me $120 to gather, analyze and visualize 220 million public Facebook profiles , and you can use 80legs to download a million web pages for just $2.20 .
4 free data tools for journalists (and snoops)
This is the companion website for the following book. Christopher D. Manning , Prabhakar Raghavan and Hinrich Schütze , , Cambridge University Press. 2008. You can order this book at CUP , at your local bookstore or on the internet.
Introduction to Information Retrieval
[Last updated: 18 April 2011 -- added statistical NLP book link] There is something extraordinarily rich in the intersection of computer science and journalism. It feels like there’s a nascent field in the making, tied to the rise of the internet. The last few years have seen calls for a new class of “ programmer journalist ” and the birth of a community of hacks and hackers .
A computational journalism reading list
The 70 Online Databases that Define Our Planet
Back in April, we looked at an ambitious European plan to simulate the entire planet . The idea is to exploit the huge amounts of data generated by financial markets, health records, social media and climate monitoring to model the planet’s climate, societies and economy. The vision is that a system like this can help to understand and predict crises before they occur so that governments can take appropriate measures in advance.
NOTE: This entry was modified on the evening of 11/9/10 to deal with typos and missing words, resulting from posting this too late the previous night. Sleep deprivation isn’t always a good thing — although it allows one to do things more fun than sleep. Like play with data. Note to self: Be more careful in the future.
Tools to help bring data to your journalism « Michelle Minkoff
Real-Time Data And A More Personalized Web - Smashing Magazine
As Web designers, we face a daily struggle to keep pace with advances in technology, new standards and new user expectations. We spend a large part of our working life dipping in and out of recent developments in an attempt to stay both relevant and competitive, and while this is what makes our industry so exciting to be a part of, it often becomes all too easy to get caught up in the finer details. Responsive Web design , improved semantics and rich Web typography have all seen their fair share of the limelight over the last year, but two developments in particular mark true milestones in the maturation of the Web: “real-time data” and a more “personalized Web.” Since the arrival of the new Web, we’ve been enraptured by social media. We share links, we “follow,” we “poke,” we’ve become accustomed to it all. Through no fault of our own, we’ve become lazy users .
Big Data : Making sense at scale
D'un récent voyage dans la Silicon Valley (merci aux amis du Orange Institute ), je rentre avec une conviction : tout ce que nous connaissions du web va changer à nouveau avec le phénomène des big data . Il pose à nouveau, sur des bases différentes, presque toutes les questions liées à la transformation numérique. En 2008, l’humanité a déversé 480 milliards de Gigabytes sur Internet.One of the most popular trends in online journalism is taking publicly available data and translating it into visualizations or infographics that readers and viewers can quickly and easily understand. A large percentage of the visualizations you see on the web were built from scratch, which can take a considerable amount of time and effort. The following sites allow you to mash your data in record time. Swivel Swivel features more than 15,000 data sets for users to play with in various categories ranging from Economics to Health to Technology.
