Intelligent Database Systems Lab

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Fraud detection in online consumer reviews

Presenter: Tsai Tzung Ruei　Authors: Nan Hu, Ling Liu, Vallabh Sambamurthy

DSS 2010

國立雲林科技大學National Yunlin University of Science and Technology

Intelligent Database Systems Lab

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I. M.Outline

Motivation Objective Methodology Experiments Conclusion Comments

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Intelligent Database Systems Lab

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I. M.Motivation

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Buy ?

Intelligent Database Systems Lab

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I. M.Objective

To study temporal behaviors of online reviews and address the following research questions

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Online reviews are written by actual previous customers and not publishers or vendors. Even if there is manipulation, consumers are smart and can adjust their interpretation of online opinions accordingly

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I. M.Methodology

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Amazondata

Regression

Answer

HypothesesDEFINITIONReview fraudReview fraud as occurring when online vendors, publishers, or authors write “consumer” reviews by posing as real customers.OrderTo represent the relative time.

Intelligent Database Systems Lab

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I. M.Methodology

How do consumer reviews evolve over time?

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Amazondata

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I. M.Methodology

Why do we suspect that there might be review fraud?

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Amazondata

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I. M.Experiments

A pure self-selection process or a combination of self-selection with manipulation?

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I. M.Experiments

The empirical test and robustness check

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I. M.Experiments

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Relation between quality and manipulation

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I. M.Experiments

Are consumers able to fully account for bias?

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20052008

customeroriginal

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I. M.Experiments

How do customers make purchase decisions when

manipulation exists?

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H3. The price and the product sales will move in the same way when the manipulation is present; in the absence of manipulation, an increase in price will lead to a decrease in sales.

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I. M.Experiments

Manipulation across websites

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Intelligent Database Systems Lab

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I. M.Conclusion

Future researches To find a way to increase the cost of manipulation in order to mitigate

the manipulation effect.

Contribution To detect fraud in online consumer reviews in many different case.

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Intelligent Database Systems Lab

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I. M.Comments

Advantage Multivariate analysis

Drawback Some mistakes

Application CRM

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