Fake profile detection on social networking websites: a comprehensive review
This article aims to summarize the recent advancement in the fake account detection
methodology on social networking websites. Over the past decade, social networking …
methodology on social networking websites. Over the past decade, social networking …
Detection of malicious social bots: A survey and a refined taxonomy
M Latah - Expert Systems with Applications, 2020 - Elsevier
Social bots represent a new generation of bots that make use of online social networks
(OSNs) as command and control (C&C) channels. Malicious social bots have been used as …
(OSNs) as command and control (C&C) channels. Malicious social bots have been used as …
[HTML][HTML] Bots and misinformation spread on social media: Implications for COVID-19
As of March 2021, the SARS-CoV-2 virus has been responsible for over 115 million cases of
COVID-19 worldwide, resulting in over 2.5 million deaths. As the virus spread exponentially …
COVID-19 worldwide, resulting in over 2.5 million deaths. As the virus spread exponentially …
Online human-bot interactions: Detection, estimation, and characterization
Increasing evidence suggests that a growing amount of social media content is generated
by autonomous entities known as social bots. In this work we present a framework to detect …
by autonomous entities known as social bots. In this work we present a framework to detect …
Deep neural networks for bot detection
S Kudugunta, E Ferrara - Information Sciences, 2018 - Elsevier
The problem of detecting bots, automated social media accounts governed by software but
disguising as human users, has strong implications. For example, bots have been used to …
disguising as human users, has strong implications. For example, bots have been used to …
Set-CNN: A text convolutional neural network based on semantic extension for short text classification
Y Zhou, J Li, J Chi, W Tang, Y Zheng - Knowledge-Based Systems, 2022 - Elsevier
A semantic extension-based classification algorithm for short texts, ie, Set-CNN, is proposed
in this paper. The proposed Set-CNN features three aspects. First, a semantic extension …
in this paper. The proposed Set-CNN features three aspects. First, a semantic extension …
Statistical features-based real-time detection of drifted twitter spam
Twitter spam has become a critical problem nowadays. Recent works focus on applying
machine learning techniques for Twitter spam detection, which make use of the statistical …
machine learning techniques for Twitter spam detection, which make use of the statistical …
Deep learning based social bot detection on twitter
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 …
manipulate people and spread malware. Therefore, it is crucial to detect bots running on …
Changing perspectives: Is it sufficient to detect social bots?
C Grimme, D Assenmacher, L Adam - … , SCSM 2018, Held as Part of HCI …, 2018 - Springer
The identification of automated activitiy in social media, specifically the detection of social
bots, has become one of the major tasks within the field of social media computation …
bots, has become one of the major tasks within the field of social media computation …
Tracking urban geo-topics based on dynamic topic model
Modern cities are facing critical environmental and social problems that are difficult to solve
using conventional planning approaches due to the cities' magnitude and complexity …
using conventional planning approaches due to the cities' magnitude and complexity …