Results 241 to 250 of about 284,665 (285)

Fake Reviews and Naive Consumers

SSRN Electronic Journal, 2022
User-generated reviews like those found on Amazon, Yelp, and similar platforms have become an important source of information for most consumers nowadays. It is therefore tempting for firms to manipulate reviews in order to increase demand for their products - but not all consumers are aware of this. We show that in a simple model with fake reviews and
openaire   +2 more sources

What’s Different about Fake Review?

Information Systems Review, 2021
온라인 리뷰가 소비자 의사결정에 미치는 영향이 증가함에 따라 리뷰조작에 대한 염려도 증가하고 있다. 리뷰조작은 판매량을 증가시키기 위해, 진실 되지 않은 리뷰를 게시하는 것으로 소비자의 역 선택을 초래하며, 사회 전체에 큰 비용으로 작용한다. 선행연구는 대부분 데이터 마이닝 방법을 통해 리뷰조작을 예측하는 데 초점을 맞추었으며, 소비자 관점의 연구는 상대적으로 제한적이다. 그러나 소비자가 지각한 리뷰의 조작 가능성은 리뷰의 유용성에 영향을 미칠 수 있으므로 허위 여부와 상관없이 온라인 구전 관리에 중요한 시사점을 제공할 수 있다.
Jung Won Lee, Cheol Park
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Towards Amazon Fake Reviewers Detection

Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications, 2020
Online marketplaces such as Amazon allow people to share their experiences about purchased products using textual comments known as product reviews. These reviews have become a common tool that users rely on to get insights on the quality and functionality of products and services from online consumers.
Youssef Esseddiq Ouatiti, Noureddine Kerzazi   +1 more
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The Market for Fake Reviews

Proceedings of the 22nd ACM Conference on Economics and Computation, 2020
This paper studies the market for fake product reviews on Amazon.com.
Sherry He, Brett Hollenbeck, Davide Proserpio   +2 more
openaire   +1 more source

Fake Review Detection

2022
Husk, Michael, Poursardar, Faryaneh
openaire   +1 more source

Three Fakes With Deep Learning Techniques Fake News, Fake Reviewers, and Deepfakes

The internet has brought convenience to the world. Many people communicate with each other through social media. Truth and lies are among the conveniences that people enjoy. Fake news and fake reviews cause problems for many people, both physically and mentally. For example, mentally, it may cause misunderstandings. Physically, it may lead to incorrect
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A Survey of Fake News

ACM Computing Surveys, 2021
Xinyi Zhou
exaly  

Controlling Fake Reviews

SSRN Electronic Journal, 2020
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Identification of Fake Reviews: A Review

2023 International Conference on Innovations in Engineering and Technology (ICIET), 2023
Fathima Beevi P S, Abdul Gafur M, Rosna P Haroon   +2 more
openaire   +1 more source

The FLR - The Florentine Literary Review - "Fake / Fake"

2019
6 racconti inediti di Paolo di Paolo, Rossella Milone, Emmanuela Carbé, Ezio Sinigaglia, Gregorio Magini e Mirco Roncoroni - 2 poesie di Mary B. Tolusso e Italo Testa - 2 frammenti di Giulia Niccolai e Francesco Permunian.
openaire   +1 more source