Recent developments in social spam detection and combating techniques: A survey
M Chakraborty, S Pal, R Pramanik… - Information Processing & …, 2016 - Elsevier
Spam in recent years has pervaded all forms of digital communication. The increase in user
base for social platforms like Facebook, Twitter, YouTube, etc., has opened new avenues for …
base for social platforms like Facebook, Twitter, YouTube, etc., has opened new avenues for …
A systematic review on spam filtering techniques based on natural language processing framework
Humans are referred to be as the sharpest species on the Earth. The capability to impart and
share knowledge makes individual most sharp of all. They turned out to be brilliant to the …
share knowledge makes individual most sharp of all. They turned out to be brilliant to the …
Opinion spam detection framework using hybrid classification scheme
With the advent of social networking sites, opinion-mining applications have attracted the
interest of the online community on review sites to know about products for their purchase …
interest of the online community on review sites to know about products for their purchase …
Opinion spam detection in online reviews
A Rastogi, M Mehrotra - Journal of Information & Knowledge …, 2017 - World Scientific
Online reviews are the most valuable sources of information about customer opinions and
are considered the pillars on which the reputation of an organisation is built. From a …
are considered the pillars on which the reputation of an organisation is built. From a …
Fake review classification using supervised machine learning
H Khan, MU Asghar, MZ Asghar, G Srivastava… - … and Challenges: Virtual …, 2021 - Springer
The revolution of social media has propelled the online community to take advantage of
online reviews for not only posting feedback about the products, services, and other issues …
online reviews for not only posting feedback about the products, services, and other issues …
Spam comments prediction using stacking with ensemble learning
Illusive comments of product or services are misleading for people in decision making. The
current methodologies to predict deceptive comments are concerned for feature designing …
current methodologies to predict deceptive comments are concerned for feature designing …
Dynamic feature selection for spam detection in Twitter
Social Networks continue to increase their popularity day by day. With the widespread
availability of Internet access, interest of people in social networks has also increased …
availability of Internet access, interest of people in social networks has also increased …
[Retracted] Computational Intelligence Based Recurrent Neural Network for Identification Deceptive Review in the E‐Commerce Domain
SN Alsubari, THH Aldhyani… - Computational …, 2022 - Wiley Online Library
Most consumers depend on online reviews posted on e‐commerce websites when
determining whether or not to buy a service or a product. Moreover, due to the presence of …
determining whether or not to buy a service or a product. Moreover, due to the presence of …
Misleading metadata detection on YouTube
YouTube is the leading social media platform for sharing videos. As a result, it is plagued
with misleading content that includes staged videos presented as real footages from an …
with misleading content that includes staged videos presented as real footages from an …
Online social networking services and spam detection approaches in opinion mining-a review
Social network platforms have gained enormous growth in present days. Users are more
attracted towards social network sites such as Twitter, Facebook, micro blogs and YouTube …
attracted towards social network sites such as Twitter, Facebook, micro blogs and YouTube …