intelligent database systems lab n.y.u.s.t. i. m. fraud detection in online consumer reviews...

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.

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

N.Y.U.S.T.

I. M.Outline

Motivation Objective Methodology Experiments Conclusion Comments

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Intelligent Database Systems Lab

N.Y.U.S.T.

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

Intelligent Database Systems Lab

N.Y.U.S.T.

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

N.Y.U.S.T.

I. M.Methodology

How do consumer reviews evolve over time?

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Amazondata

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.Methodology

Why do we suspect that there might be review fraud?

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Amazondata

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.Experiments

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

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Intelligent Database Systems Lab

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I. M.Experiments

The empirical test and robustness check

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Intelligent Database Systems Lab

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I. M.Experiments

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Relation between quality and manipulation

Intelligent Database Systems Lab

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I. M.Experiments

Are consumers able to fully account for bias?

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20052008

customeroriginal

Intelligent Database Systems Lab

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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.

Intelligent Database Systems Lab

N.Y.U.S.T.

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

N.Y.U.S.T.

I. M.Comments

Advantage Multivariate analysis

Drawback Some mistakes

Application CRM

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