2013 Fiscal Year Final Research Report
Research on bias adjustment methods of data from social media
| Project/Area Number |
23680026
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| Research Category |
Grant-in-Aid for Young Scientists (A)
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| Allocation Type | Single-year Grants |
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| Research Field |
Library and information science/Humanistic social informatics
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| Research Institution | Nagoya University |
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Principal Investigator |
HOSHINO Takahiro 名古屋大学, 経済学研究科(研究院), 准教授 (20390586)
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| Project Period (FY) |
2011-04-01 – 2014-03-31
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| Keywords | 選択バイアス / 因果効果 / 傾向スコア / マーケティングリサーチ |
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| Research Abstract |
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).
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Research Products
(19 results)
