Cloud service for assessment of news´ Popularity in internet based on Google and Wikipedia indicators

The time-sensitive nature of the news article implies that the change of extent of internet searches for particular item, as a result of appearance of news, will prevail for few days and then the normal search pattern will again continue to work. This paper presents cloud service to describe how the popularity of the mass media news can be assessed using users online usage behavior. We used data from Google and Wikipedia for this assessment task. Google data was helpful in understanding the impact of news on Internet searches whereas data from Wikipedia enabled us to realize that articles related to emerging news content also find lot of attention. The model developed to understand impact assessment, can also be helpful in predicting popularity of news items prior to their emergence. This can be helpful in improving manner of publication of news articles and material related to news on web in timely manner.