Impact of reviewer social interaction on online consumer review fraud detection

Goswami, Kunal; Park, Younghee; Song, Chungsik

doi:10.1186/s40537-017-0075-6

Cited by 30 publications

(24 citation statements)

References 36 publications

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“…In this stream, the scope of data science is limited to a specific task in the research study, while the whole study adopts a different methodology. For instance, in [47][48][49][50] the authors prove that using specific techniques, combining specific datasets or features significantly improves predictive accuracy in their respective application domains. Note that the overall research design takes on an experimental approach.…”

Section: Data Science As a Research Methods (Rm)mentioning

confidence: 99%

Data science: developing theoretical contributions in information systems via text analytics

Rizk

Elragal

2020

J Big Data

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Just like in business and society, data in research is increasing in volume, velocity and variety, and requires new ways of extracting value from it. Data science (DS)-the systematic extraction of knowledge from data-has been attracting a lot of attention recently [1]. It is argued that data science is leading a new scientific paradigm [2, 3]. Its epistemological assumptions, challenges and opportunities have been discussed in various disciplines [4, 5]. However, there are also questions about whether it is really a new (fourth) paradigm of science or empiricism re-emerging [6], or simply an extension of existing paradigms with new tools and methods for scientific enquiry [7].

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Section: Data Science As a Research Methods (Rm)mentioning

confidence: 99%

Data science: developing theoretical contributions in information systems via text analytics

Rizk

Elragal

2020

J Big Data

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“…Various domains are affected by well-planned crimes such as drug trafficking, kidnaps, terror attacks, fraud, and robberies in an increasing manner. Big data offers a large variety of solutions to handle these types of crimes effectively, which already proved to be very beneficial in preventing criminal activities [99][100][101]. Historically, the discovery of fraud has proven to be an elusive purpose.…”

Section: Criminal Analysis and Fraud Detectionmentioning

confidence: 99%

Big Data: Analytical Solutions, Research Challenges and Trends

Ali¹,

Novikov²

2020

Proceedings of ISP RAS

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The term Big Data refers to an extensive collections of digital data generating every second. Produced datasets come in structured, semi-structured, and unstructured formats throughout the world, which is difficult for the traditional database management systems to analyze. Recently, big data analytics emerges as an essential research area due to the popularity of the Internet and the advent of new Web technologies. This growing area of research represents a multidisciplinary that attracts researchers from various research fields. Interested researchers are invited to design, develop, and implement several tools, technologies, architecture, and platforms for analyzing these large volumes of data. This paper begins with a brief introduction to big data and related concepts, including the main characteristics of big data, followed by discussions of the most significant open research challenges and emerging trends. Next, we review a study of big data analytics, the advantages of using big data solutions, and the preliminary assessments required before migrating from traditional solutions. Finally, we present a review of the recent main applications to obtain a broad perspective of big data analytics.

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“…Monetary Value: the average number of helpfulness votes obtained by the reviewer through all the reviews he or she has written. In addition, Goswami Kunal ,Park Younghee and Song Chungsik in [24] [25] analyzed the impact of reviewer image on review helpfulness. They hypothesized that "if reviewer profile image available, it has a positive effect on review helpfulness".…”

Section: Reviewers' Attributesmentioning

confidence: 99%

“…As a result, they had a group of 584 Amazon book reviews and 7465 Yelp restaurant reviews. Another research in [24] collected data from Yelp.com using a web crawler. They took a subset of this dataset that consists of 135,413 reviews and 66,936 unique reviewers.…”

Section: Datasets Used In Review Helpfulness Predictionmentioning

confidence: 99%

“…Also, The researchers in [23] designed a text regression test to predict review helpfulness by using support vector regression (SVR). Another research in [24] experimented various combinations of the attributes that affect the review helpfulness with the neural network algorithm. And the experiment in [13] implemented using SVM algorithm for sentiment analysis with two different kernels: Poly Kernel and RBF Kernel.…”

Section: Techniques Used In Review Helpfulness Predictionmentioning

confidence: 99%

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Review helpfulness prediction: Survey

Almutairi¹,

Abdullah²,

Alahmadi³

2019

PEN

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Online reviews have become the major driving factor influencing purchasing behavior and patterns of social customers. However, it is difficult for customer to cover good reviews about any product or service according to massive amount of reviews latest years. Many previous researches provide innovative models about predicting review helpfulness in E-commerce websites. Some of these studies exploring the direct effect of review attributes on review helpfulness while others focused on reviewer's attributes only. The main objective of this research is to review the most important attributes that have an affect on review helpfulness from many perspectives such as datasets, techniques, frameworks and evaluation methods of the experiments. The paper ends up with important findings about most attributes effect the review helpfulness such as Review Valence.

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Impact of reviewer social interaction on online consumer review fraud detection

Cited by 30 publications

References 36 publications

Data science: developing theoretical contributions in information systems via text analytics

Data science: developing theoretical contributions in information systems via text analytics

Big Data: Analytical Solutions, Research Challenges and Trends

Review helpfulness prediction: Survey

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