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 …

Machine learning techniques for spam detection in email and IoT platforms: analysis and research challenges

N Ahmed, R Amin, H Aldabbas… - Security and …, 2022 - Wiley Online Library
Nowaday, emails are used in almost every field, from business to education. Emails have
two subcategories, ie, ham and spam. Email spam, also called junk emails or unwanted …

Arming the public with artificial intelligence to counter social bots

KC Yang, O Varol, CA Davis, E Ferrara… - Human Behavior …, 2019 - Wiley Online Library
The increased relevance of social media in our daily life has been accompanied by efforts to
manipulate online conversations and opinions. Deceptive social bots—automated or semi …

Rtbust: Exploiting temporal patterns for botnet detection on twitter

M Mazza, S Cresci, M Avvenuti… - Proceedings of the 10th …, 2019 - dl.acm.org
Within OSNs, many of our supposedly online friends may instead be fake accounts called
social bots, part of large groups that purposely re-share targeted content. Here, we study …

Twitter bot detection using bidirectional long short-term memory neural networks and word embeddings

F Wei, UT Nguyen - … First IEEE International conference on trust …, 2019 - ieeexplore.ieee.org
Twitter is a web application playing dual roles of online social networking and micro-
blogging. The popularity and open structure of Twitter have attracted a large number of …

Machine learning for SPAM detection

P Teja Nallamothu… - Asian Journal of …, 2023 - eprint.subtopublish.com
In practically every industry today, from business to education, emails/messages are used.
Ham and spam are the two subcategories of emails/messages. Email or message spam …

Cashtag piggybacking: Uncovering spam and bot activity in stock microblogs on Twitter

S Cresci, F Lillo, D Regoli, S Tardelli… - ACM Transactions on the …, 2019 - dl.acm.org
Microblogs are increasingly exploited for predicting prices and traded volumes of stocks in
financial markets. However, it has been demonstrated that much of the content shared in …

[图书][B] New dimensions of information warfare

R Di Pietro, S Raponi, M Caprolu, S Cresci, R Di Pietro… - 2021 - Springer
Since the dawn of Humanity, the progress machine tirelessly introduced tools and resources
that facilitated our everyday tasks. Over the years, new technologies have continually …

Bots in social and interaction networks: detection and impact estimation

M Mendoza, M Tesconi, S Cresci - ACM Transactions on Information …, 2020 - dl.acm.org
The rise of bots and their influence on social networks is a hot topic that has aroused the
interest of many researchers. Despite the efforts to detect social bots, it is still difficult to …

SimilCatch: Enhanced social spammers detection on twitter using Markov random fields

N El-Mawass, P Honeine, L Vercouter - Information processing & …, 2020 - Elsevier
The problem of social spam detection has been traditionally modeled as a supervised
classification problem. Despite the initial success of this detection approach, later analysis of …