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An essential topic in online social network security is how to accurately detect bot accounts and relieve their harmful impacts (e.g., misinformation, rumor, and spam) on genuine users. Based on a real-world data set, we construct…

Social and Information Networks · Computer Science 2023-04-19 Jun Wu , Xuesong Ye , Chengjie Mou

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 sway political elections by distorting online discourse, to…

Artificial Intelligence · Computer Science 2018-09-27 Sneha Kudugunta , Emilio Ferrara

Social media bot detection has always been an arms race between advancements in machine learning bot detectors and adversarial bot strategies to evade detection. In this work, we bring the arms race to the next level by investigating the…

Computation and Language · Computer Science 2024-07-08 Shangbin Feng , Herun Wan , Ningnan Wang , Zhaoxuan Tan , Minnan Luo , Yulia Tsvetkov

Social bots have emerged over the last decade, initially creating a nuisance while more recently used to intimidate journalists, sway electoral events, and aggravate existing social fissures. This social threat has spawned a bot detection…

Social and Information Networks · Computer Science 2020-07-16 David M. Beskow , Kathleen M. Carley

Online social networks (OSNs) are increasingly threatened by social bots which are software-controlled OSN accounts that mimic human users with malicious intentions. A social botnet refers to a group of social bots under the control of a…

Social and Information Networks · Computer Science 2016-04-07 Jinxue Zhang , Rui Zhang , Yanchao Zhang , Guanhua Yan

The importance of social media in our daily lives has unfortunately led to an increase in the spread of misinformation, political messages and malicious links. One of the most popular ways of carrying out those activities is using automated…

Social and Information Networks · Computer Science 2024-11-12 Salvador Lopez-Joya , Jose A. Diaz-Garcia , M. Dolores Ruiz , Maria J. Martin-Bautista

Online Social Networks have revolutionized how we consume and share information, but they have also led to a proliferation of content not always reliable and accurate. One particular type of social accounts is known to promote unreputable…

Social and Information Networks · Computer Science 2023-04-18 Edoardo Di Paolo , Marinella Petrocchi , Angelo Spognardi

Social bots remain a major vector for spreading disinformation on social media and a menace to the public. Despite the progress made in developing multiple sophisticated social bot detection algorithms and tools, bot detection remains a…

Social and Information Networks · Computer Science 2025-03-04 James Giroux , Ariyarathne Gangani , Alexander C. Nwala , Cristiano Fanelli

Malicious social bots achieve their malicious purposes by spreading misinformation and inciting social public opinion, seriously endangering social security, making their detection a critical concern. Recently, graph-based bot detection…

Social and Information Networks · Computer Science 2024-06-17 Ming Zhou , Dan Zhang , Yuandong Wang , Yangli-ao Geng , Yuxiao Dong , Jie Tang

Social bots play a significant role in many online social networks (OSN) as they imitate human behavior. This fact raises difficult questions about their capabilities and potential risks. Given the recent advances in Generative AI (GenAI),…

Social and Information Networks · Computer Science 2024-05-06 Shaghayegh Najari , Davood Rafiee , Mostafa Salehi , Reza Farahbakhsh

Bot Detection is an essential asset in a period where Online Social Networks(OSN) is a part of our lives. This task becomes more relevant in crises, as the Covid-19 pandemic, where there is an incipient risk of proliferation of social bots,…

Social and Information Networks · Computer Science 2021-02-03 Marzia Antenore , Jose M. Camacho-Rodriguez , Emanuele Panizzi

Social media platforms like X(Twitter) and Reddit are vital to global communication. However, advancements in Large Language Model (LLM) technology give rise to social media bots with unprecedented intelligence. These bots adeptly simulate…

Social and Information Networks · Computer Science 2024-12-19 Boyu Qiao , Kun Li , Wei Zhou , Shilong Li , Qianqian Lu , Songlin Hu

Driven by large language models (LLMs), social bot can autonomously engage in local interactions, whose human-like behaviors enable them to evade social bot detection. However, while these botnets exhibit realistic local social…

Social and Information Networks · Computer Science 2026-05-14 Haoran Bu , Litian Zhang , Chuxuan Zhang , Zhanyuan Liu , Hui Pang , Xi Zhang

The detection of malicious social bots has become a crucial task, as bots can be easily deployed and manipulated to spread disinformation, promote conspiracy messages, and more. Most existing approaches utilize graph neural networks…

Machine Learning · Computer Science 2024-10-10 Hao Miao , Zida Liu , Jun Gao

Escalating proliferation of inorganic accounts, commonly known as bots, within the digital ecosystem represents an ongoing and multifaceted challenge to online security, trustworthiness, and user experience. These bots, often employed for…

Applications · Statistics 2025-10-08 Dhrubajyoti Ghosh , William Boettcher , Rob Johnston , Soumendra Lahiri

Social media platforms can expose influential trends in many aspects of everyday life. However, the movements they represent can be contaminated by disinformation. Social bots are one of the significant sources of disinformation in social…

Machine Learning · Computer Science 2022-03-14 Maryam Heidari , James H Jr Jones , Ozlem Uzuner

Social media platforms face an ongoing challenge in combating the proliferation of social bots, automated accounts that are also known to distort public opinion and support the spread of disinformation. Over the years, social bots have…

Social and Information Networks · Computer Science 2024-10-18 Edoardo Allegrini , Edoardo Di Paolo , Marinella Petrocchi , Angelo Spognardi

As our reliance on social media platforms and web services increase day by day, exploiters view these platforms as an opportunity to manipulate our thoughts ad actions. These platforms have become an open playground for social bot accounts.…

Detecting Twitter Bots is crucial for maintaining the integrity of online discourse, safeguarding democratic processes, and preventing the spread of malicious propaganda. However, advanced Twitter Bots today often employ sophisticated…

Social and Information Networks · Computer Science 2024-08-07 Jibing Gong , Jiquan Peng , Jin Qu , ShuYing Du , Kaiyu Wang

While social media are a key source of data for computational social science, their ease of manipulation by malicious actors threatens the integrity of online information exchanges and their analysis. In this Chapter, we focus on malicious…

Social and Information Networks · Computer Science 2024-01-01 Kai-Cheng Yang , Onur Varol , Alexander C. Nwala , Mohsen Sayyadiharikandeh , Emilio Ferrara , Alessandro Flammini , Filippo Menczer
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