M.A. Thesis:

Using Twitter for raising awareness about Ebola Virus: A content analysis of tweets related to Ebola Virus and solutions to improve it

The importance and the need to identify and prevent a variety of diseases, viruses and natural disasters on social networks such as Twitter is converted to one of the research topics and important research. In recent years, researchers for the prevention and treatment of breast cancer, and the H1N1 virus, Zika virus through the Twitter social network analysis, descriptive studies were presented that study approach is similar to the deadly Ebola virus has been analyzed. The aim of this study understanding Ebola virus through content analysis, geographic location and sentiment analysis of tweets related to Ebola virus from the source media is Twitter. Using the Twitter application programming interface and keywords, dataset related to the Ebola virus was collected As total 22069 tweets (10823 Original and 11116 Retweets) were received from 14269 unique users. Tweets analyzed and categorized subject, by software Mallet and Dirichlet algorithm, extracted the most important issues are: appearance, awareness, sympathy with the survivors, anti-virus, fear, transmission, signs and predicted the Ebola virus by Simpson. The results Tweet show on awareness, newsgroups and organizations, according to the number of followers they are more effective than other groups to have the analysis of geographic locations, the greatest concerns of the countries of America , United Kingdom and Canada.

Keywords: Virus Ebola, Twitter, Awareness, Social media