Research on bias adjustment methods of data from social media

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In this research we planned to develop fundamental methods to reduce biases inherent in data from social media such as opinion data in consumer generated media. To be more concrete, we developed some statistical methods to reduce such biases by regarding them to be the sample selection bias in that the originators of the texts in consumer generated media are nonrandomly sampled from the targeted population the analysts of the data would like to know about. One of the proposed methods is published in the top journal in statistics (Journal of the American Statistical Association).