Big hair news.

Two Tales of the World: Comparison of Widely Used World News Datasets GDELT and EventRegistry

In this work, we compare GDELT and Event Registry, which monitor news articles worldwide and provide big data to researchers regarding scale, news sources, and news geography. We found significant differences in scale and news sources, but surprisingly, we observed high similarity in news geography between the two datasets.

News Dissemination on Twitter and Conventional News Channels

Big Data is "things that one can do at a large scale that cannot be done at a small one". Analyzing flows of news events that happen worldwide falls in the scope of Big Data. Twitter has emerged as a valuable source of information where users post their thoughts on news events at a huge scale. At the same time traditional media channels also produce huge amount of data. This paper presents mean...

Good NEWS for the Fight Against Malnutrition Using Big Data and Machine Learning to Power a Nutrition Early Warning System (NEWS) for Africa

Text Opinion Mining to Analyze News for Stock Market Prediction

This is a known fact that news and stock prices are closely related and news usually has a great influence on stock market investment. There have been many researches aimed at identifying that relationship or predicting stock market movements using news analysis. Recently, massive news tests, called unstructured big-data, have been used to predict stock price. In this paper, we introduce a meth...

Information Processing and Stock Market Volatility - Evidence from Real Estate Investment Trusts

This study proposes novel measurements of investor psychology utilizing Big Data and reveals the impact of different measures on asset price volatility. We construct a news sentiment measure based on news articles reflecting information supply. News content is transformed into quantitative data utilizing sentiment analysis. We further investigate a metric for investor attention based on search ...