Saturday, July 12, 2014

The research results also show that the process to some extent be automated. Perhaps a bit like the


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With 84 percent accuracy, researchers can now predict whether an article will be popular on Twitter - and they do not have to read it first. Maybe it leads to better bem bom articles on the web. By Robin Engelhardt February bem bom 19, 2012 at. 15:00
Twitter can be used for many things. You can tell his followers about his morning hair and about the people you met yesterday. You can talk about things you are angry about in this world, or link to interesting articles that you've just read on the web.
You can also use Twitter to more productive things. One can predict how much a new Hollywood film will be recovered on the basis of the number of tweets. You can use Twitter to organize protests and flashmobs. Also stock market speculators seem to organize their dark pool attacks on southern European government bonds and weak banks using innocent-looking bem bom Twitter messages.
It would mean that you could make a recipe for what it takes to become really popular on the web - of course only as long as the competing media does not copy the recipe, as has been gained.
The source is essential **** A step in a recipe has now been published by PhD Roja Bandari from the University of California, UCLA, in collaboration with Sitaram Asur and Bernardo Huberman of HP Labs. They have really had used Twitter to predict how a given news will perform on Twitter - before it was published on Twitter.
First examined the content of the news stories on Twitter during one week in August 2011 using a feed aggregator, called Feedzilla. Each item was given a score in four categories: News media which published the story Subject bem bom category degree of subjectivity bem bom in the language of the people and things that are mentioned in the article
Then they measured how the stories were spread across the Twitter universe, how fast and how much. This empirical data sets could they correlate with the four criteria, giving them a measure of what factors are important to the story will be successful on Twitter.
But it is not the traditional news media such as Reuters bem bom and the Wall Street Journal, which is most popular. The websites and blogs which Mashable, AllFacebook bem bom and Blog Maverick - sites that are very active in their use of Twitter. bem bom
If, for example, comparing BBC News with Mashable, given the former often no tweets to their stories, while even the thinnest stories on Mashable gets hundreds of tweets. Only the news media who are very active bem bom on their Twitter account, for example. Huffington Post, manages to maintain a high visibility bem bom in 'twitter' verse. Sensations ineffective
About the tone of the news article is very emotional and subjective or not, turns out instead to be relatively minor compared to the other characteristics. This suggests that the writing style and reading experience does not mean it big on Twitter. It also means that it does not help big to lure new readers over on his website with sensationalist headlines and chic adjective. You might as well just use objective descriptions.
As long as the media does not have lurked this, the engineer on ing.dk words could make a difference. Of course it requires a bet on Twitter and other social media. And the articles are written bem bom and edited in a different way - a way that is not only based on the journalist's intuitive feelings and thoughts about what works, bem bom but in a specialized understanding of the dynamics of the audience on the various media platforms.
The research results also show that the process to some extent be automated. Perhaps a bit like the American filmmaker Robert McKee, who has written film directors so-called Bible (called 'Story') and with its popular seminars have homogenized Hollywood's way of writing screenplays on.
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