Abstract
When reading financial news, although there are critics explaining the fluctuation of Economic indexes in articles everyday, the news often assert bias on authors' favorite opinions. On the other hand, the amount of financial news published these days is staggering with diversified opinions on the same issues. Unless with acumen for the whole environment, audience will find hard to stay objective and identify useful information from the mass media. If computer is granted ability to analyze all news and generate a narrative that addresses all concerns related to the news, all kinds of readers can obtain a more compelling story. Nowadays, Narrative Visualization is a popular technique for news media to deliver reader driven stories, and a potential field for application side. In this paper, we first identify financial news with two features: polarity associated with each news and, factors impacting the indexes or being impacted by the indexes. Then we apply these features to explain the price fluctuation and explain the Socio-economic relationships between price and different topics. Finally, two case studies are conducted to demonstrate the effectiveness and usefulness of FinaVistory in helping users with different purposes to understand the stories behind Europe unemployment after 2008 financial crisis and oil price in 2014.
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