17 Friday Jun 2016
Posted in Resources
Tags
Today is a big day for data journalism of 2016, the winner of DJA competition were announced during a special ceremony and gala dinner at the Vienna City Hall, Austria.
Recap the ceremony here:
26 Tuesday Apr 2016
Posted in Resources
The big data is becoming more and more usual with daily news, and yet a presidential campaign is where it really comes handy. On the other side of the world, an intensive race is going on to decide who will be the next POTUS. Of course, first thing first, Democrat and Republican have to have a single candidate of their own. Five eastern states, including the key swing state of Pennsylvania will hold primaries in just few hours. So who they will pick? The Bloomberg assembled some index try to work out the winner of next key moment (find the origianl here http://www.bloomberg.com/politics/articles/2016-04-25/who-will-win-the-april-26-primaries-six-views-point-to-trump-and-clinton). Continue reading
19 Tuesday Apr 2016
Posted in Opinion
As news people, we tell truth all the time.
Or are we?!
More and more news are having data as hard evidence to quantify objective facts, so it looks firm, professional and utterly true.
I hate to break it to you, but this is NOT the case! How? Here’s a common example suggested by Dr. Tong Tiejun during the monthly colloquium held by the Data & News Society. Continue reading
11 Monday Apr 2016
Posted in Announcements, Colloquium
It’s time for our monthly colloquium again! This Wednesday, Apr. 13th, we will have our very own Dr. Tong Tiejun, Associate Professor from Department of Mathematics talking about stats error in data news.
Come join the event at CVA1024, Apr. 13th (Wed) 13:00,sign up starts at 12:50. All are welcome!
Statistics do not lie, but people may lie with statistics in data news. Dating back to 1954, Darrell Huff has written a book titled “How to Lie with Statistics” that presents an introduction to statistics for the general reader. Over the last sixty years, the book has sold many more copies than any other statistical text. As Huff made clear in his book, lying with statistics can be accomplished in many ways. Distorting graphics, manipulating data or using biased samples are just a few of the tried and true methods. Failing to use the correct statistical procedure or failing to check the conditions for when the selected method is appropriate can distort results as well, whether the motives of the analyst are honorable or not. Even when the statistical procedure and motives are correct, bad data can produce results that have no validity at all. Continue reading
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