Opinion Spamming: Analyzing the Accuracy of Online Detection Tools
Închide
Articolul precedent
Articolul urmator
260 1
Ultima descărcare din IBN:
2022-12-03 16:37
Căutarea după subiecte
similare conform CZU
339.5:004 (11)
Comerț exterior. Comerț internațional (389)
Știința și tehnologia calculatoarelor. Calculatoare. Procesarea datelor (4280)
SM ISO690:2012
AWAD, Mohammed, SALAMEH, Khouloud, NGOUNGOURE, Assamahou Malika, ABDULLAH, Maryam. Opinion Spamming: Analyzing the Accuracy of Online Detection Tools. In: Central and Eastern European eDem and eGov Days , Ed. 4, 22-23 septembrie 2022, Budapesta. Viena: Facultas Verlags- und Buchhandels, 2022, pp. 142-146. ISBN 978-3-7089-2121-1; 978-3-903035-30-0. ISSN 2520-3401. DOI: https://doi.org/10.1145/3551504.3551526
EXPORT metadate:
Google Scholar
Crossref
CERIF

DataCite
Dublin Core
Central and Eastern European eDem and eGov Days 2022
Conferința "Central and Eastern European eDem and eGov Days "
4, Budapesta, Ungaria, 22-23 septembrie 2022

Opinion Spamming: Analyzing the Accuracy of Online Detection Tools

DOI:https://doi.org/10.1145/3551504.3551526
CZU: 339.5:004

Pag. 142-146

Awad Mohammed, Salameh Khouloud, Ngoungoure Assamahou Malika, Abdullah Maryam
 
American University of Ras al-Khaimah, United Arab Emirates
 
 
Disponibil în IBN: 4 noiembrie 2022


Rezumat

Over the past few years, we have seen a rise in spoofed content across the Internet, including fake news and fake reviews. Fake news is false information that imitates real news intending to damage a reputation or make financial gains. Similarly, fake online reviews, commonly referred to as opinion spamming, have impacted customers and retailers. The main problem is that there is no efficient way to distinguish between genuine and fake reviews; even humans find it difficult to do so. This paper compares two tools used to detect opinion spamming and analyzes their results. We have compiled our research using 100 reviews from travelers who evaluated Istanbul’s top five best-value hotels.

Cuvinte-cheie
Opinion spamming, e-commerce, Fake reviews, Tripadvisor, Fakespot, Review skeptic