HIVOS Data Journalism training at Nairobi Kenya, July 2014. And here is the link
to the report with more pics.
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Latest academic work
JOURNALISTS’ TWITTER NETWORKS,
PUBLIC DEBATES AND RELATIONSHIPS IN
Peter Verweij and Elvira van Noort
Journalists at major media houses in South Africa use Twitter as a journalistic tool for crowd
sourcing, breaking news events, live blogging and to balance, check and cultivate sources. This paper analyses the use of the social network platform by the top 500 South African journalists.
The findings suggest that pluralism and openness are important characteristics of the South
African Twitter network. Although two strong sub-networks can be detected, we conclude that they give structure to the network and enhance the role of journalists in public debates and democratic decision-making. This is shown in the analysis of three trending news topics related to politics and crime. The last trending topic of the study questions the process of the individualization of journalism through Twitter. The paper concludes by confronting its generic findings from the perspectives and opinions of leading journalists and editors.
Download full article as pdf at the bottom of this page
Peter Verweij, the current turbulent landscape that journalism faces can be resolved with data journalism.
Speaking at the 17th edition of the Highway Africa conference, Verweij points out that newspaper circulation has seen consistent decline in the last decade and online counterparts are gaining traction. He argues that journalists need to be analytical in their storytelling by mining the data already available to them.
Read tthe story at Memeburn http://memeburn.com/2013/09/the-future-of-journalism-lies-in-data-highway-africa/
"Even veteran journalists must embrace new technologies," says Zimbabwean journalist Gibbs Dube.
Technology is opening up new frontiers in storytelling
Some experts do not need a whole lecture room to impart knowledge to students. Today I can proudly boast that I can scrap some data from websites to generate interesting content for radio listeners, television viewers and newspaper readers.
This short tutorial will show you how to use Refine for cleaning your data. The data being used are not real, but created in such a way that it represents a practical situation (information downloaded from a database) and at the same time shows the most important possibilities of cleaning data with Refine.
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You all know it; working on a data journalism project; finally found the data.....but it is pdf format. How to get the pdf data in a spreadsheet? Well there are some web services like cometdocs or pdftoexcelonline. Or you could try to build a scraper yourself, but then you have to read Paul Bradshaw, "Scraping for Journalists" first.