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- research-articleJuly 2024
FakeX: A Framework for Detecting Fake Reviews of Browser Extensions
ASIA CCS '24: Proceedings of the 19th ACM Asia Conference on Computer and Communications SecurityPages 769–784https://doi.org/10.1145/3634737.3656999Browser extensions boost user experience on the web. Similarly to smartphone app stores, browsers like Chrome distribute browser extensions via their Web Store, enabling a thriving market of third-party developed extensions. The Web Store incorporates a ...
- ArticleDecember 2023
Social Recommendation Using Deep Auto-encoder and Confidence Aware Sentiment Analysis
AbstractThe development of online social networks has attracted increasing interest in social recommendation. On the other hand, recommender systems based on deep learning and sentiment analysis techniques are currently widely used to solve the problem of ...
- posterOctober 2023
Poster: Leveraging Data Analysis and Machine Learning to Authenticate Yelp Reviews through User Metadata Patterns
MobiHoc '23: Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile ComputingPages 580–582https://doi.org/10.1145/3565287.3617983Due to the technological revolution, online reviews have become extremely valuable to consumer decision making, with approximately 93% of all consumers relying on reviews for purchasing decisions. However, the rise of fake online reviews has raised ...
- research-articleMay 2023
Platform Manipulation in Online Retail Marketplace with Sponsored Advertising
We study an online retail marketplace’s incentive to manipulate sellers’ product attractiveness to consumers (e.g., through fake sales, fake reviews, or dishonest endorsement) and sellers’ placement ranking.
In this paper, we study an online retail marketplace’s incentive to manipulate sellers’ product attractiveness to consumers (e.g., through fake sales, fake reviews, or dishonest endorsement), as well as sellers’ placement ranking. We design a model of an ...
- research-articleMarch 2022
An Economic Analysis of Rebates Conditional on Positive Reviews
Information Systems Research (INFORMS-ISR), Volume 33, Issue 1Pages 224–243https://doi.org/10.1287/isre.2021.1048In the prevailing e-commerce environment, conditional rebates have emerged as a common business practice on leading online platforms such as Taobao. Because rebates are only offered to purchasing consumers who post positive online reviews, a key concern ...
Strategic sellers on some online selling platforms have recently been using a conditional-rebate strategy to manipulate product reviews under which only purchasing consumers who post positive reviews online are eligible to redeem the rebate. A key concern ...
- research-articleDecember 2021
Exploiting social media for fake reviews: evidence from Amazon and Facebook
ACM SIGecom Exchanges (SIGECOM), Volume 19, Issue 2Pages 68–74https://doi.org/10.1145/3505156.3505164We provide an overview of our recent work that studies the market for fake product reviews on Amazon.com where reviews are purchased in large private internet groups on Facebook and other sites. We find that a wide array of products purchase fake ...
- extended-abstractJuly 2021
The Market for Fake Reviews
EC '21: Proceedings of the 22nd ACM Conference on Economics and ComputationPage 588https://doi.org/10.1145/3465456.3467589We study the market for fake product reviews on Amazon.com. These reviews are purchased in large private internet groups on Facebook and other sites. We hand-collect data on these markets to characterize the types of products that buy fake reviews and ...
- research-articleJanuary 2020
Robustness of Word and Character N-gram Combinations in Detecting Deceptive and Truthful Opinions
Journal of Data and Information Quality (JDIQ), Volume 12, Issue 1Article No.: 5, Pages 1–24https://doi.org/10.1145/3349536Opinions in reviews about the quality of products or services can be important information for readers. Unfortunately, such opinions may include deceptive ones posted for some business reasons. To keep the opinions as a valuable and trusted source of ...
- research-articleNovember 2019
Wide-Ranging Review Manipulation Attacks: Model, Empirical Study, and Countermeasures
CIKM '19: Proceedings of the 28th ACM International Conference on Information and Knowledge ManagementPages 981–990https://doi.org/10.1145/3357384.3358034User reviews have become a cornerstone of how we make decisions. However, this user-based feedback is susceptible to manipulation as recent research has shown the feasibility of automatically generating fake reviews. Previous investigations, however, ...
- research-articleJanuary 2019
A New Method to Identify Short-Text Authors Using Combinations of Machine Learning and Natural Language Processing Techniques
Procedia Computer Science (PROCS), Volume 159, Issue CPages 428–436https://doi.org/10.1016/j.procs.2019.09.197AbstractIdentifying authors by their style of writing is a very challenging task. This problem has several applications, one of which is to identify fake online reviews written by spam accounts. The existence of such fake reviews degrades the credibility ...
- research-articleFebruary 2018
Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach
WSDM '18: Proceedings of the Eleventh ACM International Conference on Web Search and Data MiningPages 306–314https://doi.org/10.1145/3159652.3159726We propose a system called TwoFace to uncover crowdsourced review manipulators who target online review systems. A unique feature of TwoFace is its three-phase framework:(i) in the first phase, we intelligently sample actual evidence of manipulation(...
- research-articleJuly 2017
Case Study of Fake Web Reviews
ASONAM '17: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017Pages 706–709https://doi.org/10.1145/3110025.3110119Online customer reviews of both products and merchants can greatly affect the readers' purchase decision making. Opinion spamming refers to the writing of fake reviews that try to deliberately mislead the reader by giving undeserved positive opinions or ...
- articleDecember 2016
The Impact of Fake Reviews on Online Visibility: A Vulnerability Assessment of the Hotel Industry
Information Systems Research (INFORMS-ISR), Volume 27, Issue 4Pages 940–961https://doi.org/10.1287/isre.2016.0674Extant research has focused on the detection of fake reviews on online review platforms, motivated by the well-documented impact of customer reviews on the users' purchase decisions. The problem is typically approached from the perspective of protecting ...
- articleJanuary 2016
Detection of fraudulent and malicious websites by analysing user reviews for online shopping websites
International Journal of Knowledge and Web Intelligence (IJKWI), Volume 5, Issue 3Pages 171–189https://doi.org/10.1504/IJKWI.2016.078712Recently, the web has become a crucial worldwide platform for online shopping. People go online to sell and buy products, use online banking facilities and even give opinions about their online shopping experience. People with malicious intent may be ...
- research-articleJune 2015
AppWatcher: unveiling the underground market of trading mobile app reviews
WiSec '15: Proceedings of the 8th ACM Conference on Security & Privacy in Wireless and Mobile NetworksArticle No.: 10, Pages 1–11https://doi.org/10.1145/2766498.2766510Driven by huge monetary reward, some mobile application (app) developers turn to the underground market to buy positive reviews instead of doing legal advertisements. These promotion reviews are either directly posted in app stores like iTunes and ...
- research-articleApril 2013
Review spam detector with rating consistency check
ACMSE '13: Proceedings of the 51st annual ACM Southeast ConferenceArticle No.: 34, Pages 1–6https://doi.org/10.1145/2498328.2500083Nowadays it is very common for people to write online reviews of products they have purchased. These reviews are a very important source of information for the potential customers before deciding to purchase a product. Consequently, websites containing ...
- research-articleFebruary 2008
Opinion spam and analysis
WSDM '08: Proceedings of the 2008 International Conference on Web Search and Data MiningPages 219–230https://doi.org/10.1145/1341531.1341560Evaluative texts on the Web have become a valuable source of opinions on products, services, events, individuals, etc. Recently, many researchers have studied such opinion sources as product reviews, forum posts, and blogs. However, existing research ...