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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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥13,260,000 (Direct Cost: ¥10,200,000、Indirect Cost: ¥3,060,000)
Fiscal Year 2013: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2012: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2011: ¥5,720,000 (Direct Cost: ¥4,400,000、Indirect Cost: ¥1,320,000)
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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 / 統計的因果推論 / ベイズ推定 / 市場調査 / テキストマイニング / 消費者生成メディア / ソーシャルメディア |
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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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Report
(4 results)
Research Products
(37 results)
