☆ 4.8 Review

Detecting fake-review buyers using network structure: Direct evidence from Amazon

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2022)

Related references

Note: Only part of the references are listed.

Article Business

The Market for Fake Reviews

Sherry He et al.

Summary: This study examines the market for fake product reviews on Amazon.com and finds that a wide range of products purchase these fake reviews, including those with high ratings. Buying fake reviews leads to a short-term increase in ratings and reviews. The manipulation of ratings has a significant impact on sales and is primarily used by low-quality products.

MARKETING SCIENCE (2022)

Add to Collection

Article Business

Inefficiencies in Digital Advertising Markets

Brett R. Gordon et al.

Summary: Digital advertising markets are growing rapidly and facing increased scrutiny. This article explores four market inefficiencies: ad effect measurement, frictions between advertising channel members, ad blocking, and ad fraud. While these issues are not unique to digital advertising, they present unique challenges in this market.

JOURNAL OF MARKETING (2021)

Add to Collection

Review Computer Science, Artificial Intelligence

Deceptive consumer review detection: a survey

Dushyanthi U. Vidanagama et al.

ARTIFICIAL INTELLIGENCE REVIEW (2020)

Add to Collection

Review Computer Science, Artificial Intelligence

Fake online reviews: Literature review, synthesis, and directions for future research

Yuanyuan Wu et al.

DECISION SUPPORT SYSTEMS (2020)

Add to Collection

Review Management

Online Review Characteristics and Trust: A Cross-Country Examination

Beibei Dong et al.

DECISION SCIENCES (2019)

Add to Collection

Review Computer Science, Information Systems

Detecting Review Manipulation on Online Platforms with Hierarchical Supervised Learning

Naveen Kumar et al.

JOURNAL OF MANAGEMENT INFORMATION SYSTEMS (2018)

Add to Collection

Review Management

Stimulating Online Reviews by Combining Financial Incentives and Social Norms

Gordon Burtch et al.

MANAGEMENT SCIENCE (2018)

Add to Collection

Article Management

Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud

Michael Luca et al.

MANAGEMENT SCIENCE (2016)

Add to Collection

Review Computer Science, Artificial Intelligence

Detection of review spam: A survey

Atefeh Heydari et al.

EXPERT SYSTEMS WITH APPLICATIONS (2015)

Add to Collection

Article Computer Science, Information Systems

Distance metrics for high dimensional nearest neighborhood recovery: Compression and normalization

Stephen L. France et al.

INFORMATION SCIENCES (2012)

Add to Collection

Review Statistics & Probability

Model-based clustering, discriminant analysis, and density estimation

C Fraley et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2002)

Add to Collection

© Peeref 2019-2024. All rights reserved.