Results 21 to 30 of about 110,130 (282)
Demand characteristics confound the rubber hand illusion [PDF]
, 2020 Reports of experiences of ownership over a fake hand following simple multisensory stimulation (the ‘rubber hand illusion’) have generated an expansive literature.
Lush, Peter
core +1 more source
IEEE Access, 2022 Although numerous studies have investigated spam detection and spammer detection on online platforms, they have ignored the fact that reviews written by the same reviewer may be correlated because each reviewer has their own distinct style.
Thi-Kim-Hien Le +2 more
doaj +1 more source
Disparity between the Programmatic Views and the User Perceptions of Mobile Apps [PDF]
, 2017 User perception in any mobile-app ecosystem, is represented as user ratings of apps. Unfortunately, the user ratings are often biased and do not reflect the actual usability of an app.
Chowdhury, Nahida Sultana +1 more
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Fake Review Prediction and Review Analysis
International Journal of Innovative Technology and Exploring Engineering, 2021 Online reviews can be deceptive or manipulative evaluations of services and products which are often carried out deliberately for manipulation strategy to mislead the readers. Identifying such reviews is an important but challenging problem. There are even some associations in the merchandise industry who are hiring professionals to write fake reviews ...
Manasi Bansode +4 more
openaire +1 more source
The Social TV Phenomenon and Fake Online Restaurant Reviews [PDF]
Tourism and Hospitality Management, 2021 Purpose – The social TV phenomenon has raised the interest of some researchers in studying the production of online reviews. However, little is known about the characteristics of reviewers that, without having had indeed a real experience of ...
Breno de Paula Andrade Cruz +2 more
doaj +1 more source
Characterizing Key Stakeholders in an Online Black-Hat Marketplace [PDF]
, 2017 Over the past few years, many black-hat marketplaces have emerged that facilitate access to reputation manipulation services such as fake Facebook likes, fraudulent search engine optimization (SEO), or bogus Amazon reviews.
De Cristofaro, Emiliano +7 more
core +2 more sources
Machine learning-based Fake reviews detection with amalgamated features extraction method
Sukkur IBA Journal of Emerging Technologies, 2023 Product fake reviews are increasing as the trend is changing toward online sales and purchases. Fake review detection is critical and challenging for both researchers and online retailers.
Muhammad Bux Alvi +4 more
doaj +1 more source
PLoS ONE, 2022 The popularity of online shopping is steadily increasing. At the same time, fake product reviews are published widely and have the potential to affect consumer purchasing behavior.
Felix Soldner +2 more
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Journal of Management Small and Medium Enterprises (SME's)This study aims to determine the effect of fake buyers and fake reviews with trust as a mediating variable on purchase intention. This study employs a quantitative research approach, drawing on a sample of 105 sellers from the Shopee marketplace.
Rafida Aviola Hana Fauziya, Muzakar Isa
doaj +1 more source
Fact-Checking Reasoning System for Fake Review Detection Using Answer Set Programming
Algorithms, 2021 A rising number of people use online reviews to choose if they want to use or buy a service or product. Therefore, approaches for identifying fake reviews are in high request.
Nour Jnoub +2 more
doaj +1 more source