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Related papers: Identifying Hijacked Reviews

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Online reviews significantly impact consumers' decision-making process and firms' economic outcomes and are widely seen as crucial to the success of online markets. Firms, therefore, have a strong incentive to manipulate ratings using fake…

Social and Information Networks · Computer Science 2024-10-24 Sherry He , Brett Hollenbeck , Gijs Overgoor , Davide Proserpio , Ali Tosyali

Online reviews provide viewpoints on the strengths and shortcomings of products/services, influencing potential customers' purchasing decisions. However, the proliferation of non-credible reviews -- either fake (promoting/ demoting an…

Artificial Intelligence · Computer Science 2017-05-09 Subhabrata Mukherjee , Sourav Dutta , Gerhard Weikum

Online commerce relies heavily on user generated reviews to provide unbiased information about products that they have not physically seen. The importance of reviews has attracted multiple exploitative online behaviours and requires methods…

Computation and Language · Computer Science 2024-05-14 Priyabrata Karmakar , John Hawkins

Online reviews have increasingly become a very important resource for consumers when making purchases. Though it is becoming more and more difficult for people to make well-informed buying decisions without being deceived by fake reviews.…

Computation and Language · Computer Science 2016-09-12 Vlad Sandulescu , Martin Ester

Reviews and ratings by users form a central component in several widely used products today (e.g., product reviews, ratings of online content, etc.), but today's platforms for managing such reviews are ad-hoc and vulnerable to various forms…

Cryptography and Security · Computer Science 2024-07-23 Rohit Dwivedula , Sriram Sridhar , Sambhav Satija , Muthian Sivathanu , Nishanth Chandran , Divya Gupta , Satya Lokam

Online reviews play an integral part for success or failure of businesses. Prior to purchasing services or goods, customers first review the online comments submitted by previous customers. However, it is possible to superficially boost or…

Computation and Language · Computer Science 2020-10-12 Faranak Abri , Luis Felipe Gutierrez , Akbar Siami Namin , Keith S. Jones , David R. W. Sears

User reviews reflect significant value of product in the world of e-market. Many firms or product providers hire spammers for misleading new customers by posting spam reviews. There are three types of fake reviews, untruthful reviews, brand…

Information Retrieval · Computer Science 2020-03-03 Jay Kumar

The popularity of online shopping is steadily increasing. At the same time, fake product reviewsare published widely and have the potential to affect consumer purchasing behavior. In response,previous work has developed automated methods…

Computation and Language · Computer Science 2023-01-11 Felix Soldner , Bennett Kleinberg , Shane Johnson

Online reviews and recommendation systems help users navigate overwhelming choice, but they are vulnerable to self-reinforcing distortions. This paper examines how a single malicious reviewer can exploit popularity-biased rating dynamics…

Social and Information Networks · Computer Science 2026-04-16 Itsuki Fujisaki , Kunhao Yang

Reading and evaluating product reviews is central to how most people decide what to buy and consume online. However, the recent emergence of Large Language Models and Generative Artificial Intelligence now means writing fraudulent or fake…

In this new digital era, accessibility to real-world events is moving towards web-based modules. This is mostly visible on e-commerce websites where there is limited availability of physical verification. With this unforeseen development,…

Multimedia · Computer Science 2024-01-12 Sankarshan Dasgupta , James Buckley

How to tell if a review is real or fake? What does the underworld of fraudulent reviewing look like? Detecting suspicious reviews has become a major issue for many online services. We propose the use of a clique-finding approach to discover…

Social and Information Networks · Computer Science 2015-09-22 Paras Jain , Shang-Tse Chen , Mozhgan Azimpourkivi , Duen Horng Chau , Bogdan Carbunar

Online review systems are important components in influencing customers' purchase decisions. To manipulate a product's reputation, many stores hire large numbers of people to produce fake reviews to mislead customers. Previous methods…

Social and Information Networks · Computer Science 2021-12-14 Chen Cao , Shihao Li , Shuo Yu , Zhikui Chen

Product reviews and ratings on e-commerce websites provide customers with detailed insights about various aspects of the product such as quality, usefulness, etc. Since they influence customers' buying decisions, product reviews have become…

Machine Learning · Computer Science 2019-05-27 Anil R. Yelundur , Vineet Chaoji , Bamdev Mishra

Online reviews have a significant influence on customers' purchasing decisions for any products or services. However, fake reviews can mislead both consumers and companies. Several models have been developed to detect fake reviews using…

Computation and Language · Computer Science 2021-12-30 Rami Mohawesh , Shuxiang Xu , Matthew Springer , Muna Al-Hawawreh , Sumbal Maqsood

Online shopping stores have grown steadily over the past few years. Due to the massive growth of these businesses, the detection of fake reviews has attracted attention. Fake reviews are seriously trying to mislead customers and thereby…

Computation and Language · Computer Science 2023-01-10 Abrar Qadir Mir , Furqan Yaqub Khan , Mohammad Ahsan Chishti

E-commerce is the fastest-growing segment of the economy. Online reviews play a crucial role in helping consumers evaluate and compare products and services. As a result, fake reviews (opinion spam) are becoming more prevalent and…

Machine Learning · Computer Science 2022-05-27 Kiril Danilchenko , Michael Segal , Dan Vilenchik

Nowadays, there are a lot of people using social media opinions to make their decision on buying products or services. Opinion spam detection is a hard problem because fake reviews can be made by organizations as well as individuals for…

Information Retrieval · Computer Science 2018-07-31 L. H. Nguyen , N. T. H. Pham , V. M. Ngo

Social reviews have dominated the web and become a plausible source of product information. People and businesses use such information for decision-making. Businesses also make use of social information to spread fake information using a…

Machine Learning · Computer Science 2023-01-05 Saeedreza Shehnepoor , Roberto Togneri , Wei Liu , Mohammed Bennamoun

The goal is to study the prevalence of citajacked papers: papers in authentic scientific journals citing hijacked journals, in academic literature. A Citejacked detector was designed as a part of the Problematic Paper Screener…

Digital Libraries · Computer Science 2022-09-13 Anna Abalkina , Guillaume Cabanac , Cyril Labbé , Alexander Magazinov
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