News Column

Reports Outline Information Sciences Findings from University of Arizona

May 27, 2014



By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Researchers detail new data in Information Sciences. According to news originating from Tucson, Arizona, by VerticalNews correspondents, research stated, "Analyzing market performance via social media has attracted a great deal of attention in the finance and machine-learning disciplines. However, the vast majority of research does not consider the enormous influence a crisis has on social media that further affects the relationship between social media and the stock market."

Our news journalists obtained a quote from the research from the University of Arizona, "This article aims to address these challenges by proposing a multistage dynamic analysis framework. In this framework, we use an authorship analysis technique and topic model method to identify stakeholder groups and topics related to a special firm. We analyze the activities of stakeholder groups and topics in different periods of a crisis to evaluate the crisis's influence on various social media parameters. Then, we construct a stock regression model in each stage of crisis to analyze the relationships of changes among stakeholder groups/topics and stock behavior during a crisis."

According to the news editors, the research concluded: "Finally, we discuss some interesting and significant results, which show that a crisis affects social media discussion topics and that different stakeholder groups/topics have distinct effects on stock market predictions during each stage of a crisis."

For more information on this research see: Analyzing market performance via social media: a case study of a banking industry crisis. Science China-Information Sciences, 2014;57(5):95-112. Science China-Information Sciences can be contacted at: Science Press, 16 Donghuangchenggen North St, Beijing 100717, Peoples R China.

The news correspondents report that additional information may be obtained from C.Q. Jiang, University of Arizona, Dept. of Management Informat Syst, Tucson, AZ 85721, United States. Additional authors for this research include K. Liang, H.C. Chen and Y. Ding.

Keywords for this news article include: Tucson, Arizona, United States, Information Sciences, North and Central America

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Information Technology Newsweekly


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