A review on social spam detection: Challenges, open issues, and future directions

S Rao, AK Verma, T Bhatia - Expert Systems with Applications, 2021 - Elsevier
Abstract Online Social Networks are perpetually evolving and used in plenteous
applications such as content sharing, chatting, making friends/followers, customer …

Detection of bots in social media: a systematic review

M Orabi, D Mouheb, Z Al Aghbari, I Kamel - Information Processing & …, 2020 - Elsevier
Social media bots (automated accounts) attacks are organized crimes that pose potential
threats to public opinion, democracy, public health, stock market and other disciplines. While …

Ftm-iomt: Fuzzy-based trust management for preventing sybil attacks in internet of medical things

A Almogren, I Mohiuddin, IU Din… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Trustworthy transmission is a beneficial step toward the success of the new era of
telecommunication technologies and online social networks (OSNs). Many sensitive …

Deep learning based social bot detection on twitter

E Arin, M Kutlu - IEEE Transactions on Information Forensics …, 2023 - ieeexplore.ieee.org
While social bots can be used for various good causes, they can also be utilized to
manipulate people and spread malware. Therefore, it is crucial to detect bots running on …

GANBOT: A GAN-based framework for social bot detection

S Najari, M Salehi, R Farahbakhsh - Social Network Analysis and Mining, 2022 - Springer
Nowadays, a massive number of people are involved in various social media. This fact
enables organizations and institutions to more easily access their audiences across the …

Detecting malicious social bots based on clickstream sequences

P Shi, Z Zhang, KKR Choo - IEEE Access, 2019 - ieeexplore.ieee.org
With the significant increase in the volume, velocity, and variety of user data (eg, user-
generated data) in online social networks, there have been attempted to design new ways of …

User trustworthiness in online social networks: A systematic review

M Alkhamees, S Alsaleem, M Al-Qurishi… - Applied Soft …, 2021 - Elsevier
The growing popularity of social networks and their easy acceptance of new users have the
unintended consequence of fostering an environment where anonymous users can act in …

Classification of various attacks and their defence mechanism in online social networks: a survey

SR Sahoo, BB Gupta - Enterprise Information Systems, 2019 - Taylor & Francis
Due to the popularity and user friendliness of the Internet, numbers of users of online social
networks (OSNs) and social media have grown significantly. However, globally utilised …

[HTML][HTML] Systematic literature review of social media bots detection systems

Z Ellaky, F Benabbou, S Ouahabi - … of King Saud University-Computer and …, 2023 - Elsevier
Online social networks (OSNs) are vital to people's daily lives. They offer free services that
allow people to connect and interact with family and friends, post comments and images …

Popularity prediction of instagram posts

S Carta, AS Podda, DR Recupero, R Saia, G Usai - Information, 2020 - mdpi.com
Predicting the popularity of posts on social networks has taken on significant importance in
recent years, and several social media management tools now offer solutions to improve …