Data Characteristics and Online Crisis Prediction Models Using Big Data
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Abstract
This research aims 1) to examine the characteristics of the data that can be suitably employed for the creation of the predicting online crisis model, and 2) to explore the suitable model that could apply for predicting online crises. This qualitative research employed an in-depth interview of 10 purposive Big Data and Data Science experts as the key research tool. A snowball technique and semi-structured interview are employed as the sampling and Interview techniques.
The result found that the characteristics of the data suitably used for building the online crisis prediction model consist of Data Accuracy and Reliability, Data sufficiency and proper quality, the data collected corresponding to the research objectives, the data collection involving past events, and the data collected conforming to the social context, demography, and culture. Whereas the suitable models that can be used for online crisis prediction are, the models that can predict the dynamic data, the models that enable distinguish online crises, the models that enable to adapt, the models that enable to predict accurately, and lastly the models that are suitable for the data set.
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