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For more than a decade now, academicians and online platform administrators have been studying solutions to the problem of bot detection. Bots are computer algorithms whose use is far from being benign: malicious bots are purposely created…

Cryptography and Security · Computer Science 2025-06-25 Rocco De Nicola , Marinella Petrocchi , Manuel Pratelli

With the increasing use of social media data for health-related research, the credibility of the information from this source has been questioned as the posts may originate from automated accounts or "bots". While automatic bot detection…

Computation and Language · Computer Science 2019-10-01 Anahita Davoudi , Ari Z. Klein , Abeed Sarker , Graciela Gonzalez-Hernandez

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

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

Twitter bot detection has become a crucial task in efforts to combat online misinformation, mitigate election interference, and curb malicious propaganda. However, advanced Twitter bots often attempt to mimic the characteristics of genuine…

Social and Information Networks · Computer Science 2023-04-26 Yuhan Liu , Zhaoxuan Tan , Heng Wang , Shangbin Feng , Qinghua Zheng , Minnan Luo

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 such entities on Twitter. We leverage more than a thousand…

Social and Information Networks · Computer Science 2017-03-28 Onur Varol , Emilio Ferrara , Clayton A. Davis , Filippo Menczer , Alessandro Flammini

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

The idea that social media platforms like Twitter are inhabited by vast numbers of social bots has become widely accepted in recent years. Social bots are assumed to be automated social media accounts operated by malicious actors with the…

Social and Information Networks · Computer Science 2022-07-26 Florian Gallwitz , Michael Kreil

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

Twitter bot detection has become an important and challenging task to combat misinformation and protect the integrity of the online discourse. State-of-the-art approaches generally leverage the topological structure of the Twittersphere,…

Social and Information Networks · Computer Science 2021-12-14 Shangbin Feng , Zhaoxuan Tan , Rui Li , Minnan Luo

This is an approach to detecting a subset of bots on Twitter, that at best is under-researched. This approach will be generic enough to be adaptable to most, if not all social networks. The subset of bots this focuses on are those that can…

Social and Information Networks · Computer Science 2018-08-30 Jeremy Fields

Efficient and reliable social bot classification is crucial for detecting information manipulation on social media. Despite rapid development, state-of-the-art bot detection models still face generalization and scalability challenges, which…

Computers and Society · Computer Science 2020-06-05 Kai-Cheng Yang , Onur Varol , Pik-Mai Hui , Filippo Menczer

Bots have been in the spotlight for many social media studies, for they have been observed to be participating in the manipulation of information and opinions on social media. These studies analyzed the activity and influence of bots in a…

Social and Information Networks · Computer Science 2024-04-03 Lynnette Hui Xian Ng , Kathleen M. Carley

The popularity of social media platforms such as Twitter has led to the proliferation of automated bots, creating both opportunities and challenges in information dissemination, user engagements, and quality of services. Past works on…

Social and Information Networks · Computer Science 2018-05-14 Richard Jayadi Oentaryo , Arinto Murdopo , Philips Kokoh Prasetyo , Ee-Peng Lim

Social bots have become an important component of online social media. Deceptive bots, in particular, can manipulate online discussions of important issues ranging from elections to public health, threatening the constructive exchange of…

Social and Information Networks · Computer Science 2022-08-23 Kai-Cheng Yang , Emilio Ferrara , Filippo Menczer

Social bots have become widely known by users of social platforms. To prevent social bots from spreading harmful speech, many novel bot detections are proposed. However, with the evolution of social bots, detection methods struggle to give…

Social and Information Networks · Computer Science 2025-03-07 Tao Yang , Yang Hu , Feihong Lu , Ziwei Zhang , Qingyun Sun , Jianxin Li

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

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

Twitter has become a vital social media platform while an ample amount of malicious Twitter bots exist and induce undesirable social effects. Successful Twitter bot detection proposals are generally supervised, which rely heavily on…

Social and Information Networks · Computer Science 2021-08-30 Shangbin Feng , Herun Wan , Ningnan Wang , Jundong Li , Minnan Luo
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