Title |
The Structure of the EU Mediasphere
|
---|---|
Published in |
PLOS ONE, December 2010
|
DOI | 10.1371/journal.pone.0014243 |
Pubmed ID | |
Authors |
Ilias Flaounas, Marco Turchi, Omar Ali, Nick Fyson, Tijl De Bie, Nick Mosdell, Justin Lewis, Nello Cristianini |
Abstract |
A trend towards automation of scientific research has recently resulted in what has been termed "data-driven inquiry" in various disciplines, including physics and biology. The automation of many tasks has been identified as a possible future also for the humanities and the social sciences, particularly in those disciplines concerned with the analysis of text, due to the recent availability of millions of books and news articles in digital format. In the social sciences, the analysis of news media is done largely by hand and in a hypothesis-driven fashion: the scholar needs to formulate a very specific assumption about the patterns that might be in the data, and then set out to verify if they are present or not. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Croatia | 2 | 4% |
United Kingdom | 2 | 4% |
Finland | 1 | 2% |
France | 1 | 2% |
Germany | 1 | 2% |
Spain | 1 | 2% |
Belgium | 1 | 2% |
Luxembourg | 1 | 2% |
Japan | 1 | 2% |
Other | 0 | 0% |
Unknown | 40 | 78% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 24% |
Student > Ph. D. Student | 10 | 20% |
Student > Bachelor | 4 | 8% |
Student > Master | 4 | 8% |
Other | 4 | 8% |
Other | 6 | 12% |
Unknown | 11 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 11 | 22% |
Computer Science | 9 | 18% |
Arts and Humanities | 8 | 16% |
Physics and Astronomy | 3 | 6% |
Business, Management and Accounting | 2 | 4% |
Other | 6 | 12% |
Unknown | 12 | 24% |