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Maxim Kolomeets, Olga Tushkanova, Vasily Desnitsky, Lidia Vitkova and Andrey Chechulin
This paper aims to test the hypothesis that the quality of social media bot detection systems based on supervised machine learning may not be as accurate as researchers claim, given that bots have become increasingly sophisticated, making it difficult fo...
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Sara G. Fahmy, Khaled M. Abdelgaber, Omar H. Karam and Doaa S. Elzanfaly
The mechanisms of information diffusion in Online Social Networks (OSNs) have been studied extensively from various perspectives with some focus on identifying and modeling the role of heterogeneous nodes. However, none of these studies have considered t...
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Piyush Vyas, Gitika Vyas and Gaurav Dhiman
The beginning of this decade brought utter international chaos with the COVID-19 pandemic and the Russia-Ukraine war (RUW). The ongoing war has been building pressure across the globe. People have been showcasing their opinions through different communic...
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Riccardo Cantini, Fabrizio Marozzo, Domenico Talia and Paolo Trunfio
Social media platforms are part of everyday life, allowing the interconnection of people around the world in large discussion groups relating to every topic, including important social or political issues. Therefore, social media have become a valuable s...
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Yaseen Khan, Surendra Thakur, Obiseye Obiyemi and Emmanuel Adetiba
Bots (social robots) are computer programs that replicate human behavior in online social networks. They are either fully automated or semi-automated, and their use makes online activism vulnerable to manipulation. This study examines the existence of so...
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Natalya Legostaeva,Kirill Svetlov
Pág. 41 - 46
In this study, we examine data from the popular Russian social network "VKontakte" to understand what types of discourses on the topic of QR codes are spread in it, including discourses related to protests. Clustering based on the doc2vec algorithm prove...
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Dmitrii Gavra, Ksenia Namyatova and Lidia Vitkova
This paper examines the problem of social media special operations and especially induced support in social media during political election campaigns. The theoretical background of the paper is based on the study fake activity in social networks during p...
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Quintino Francesco Lotito, Davide Zanella and Paolo Casari
The pervasiveness of online social networks has reshaped the way people access information. Online social networks make it common for users to inform themselves online and share news among their peers, but also favor the spreading of both reliable and fa...
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Paola Zola, Guglielmo Cola, Michele Mazza and Maurizio Tesconi
Tracking information diffusion is a non-trivial task and it has been widely studied across different domains and platforms. The advent of social media has led to even more challenges, given the higher speed of information propagation and the growing impa...
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Jun Park and Youngho Cho
As the popularity of social network service (SNS) messengers (such as Telegram, WeChat or KakaoTalk) grows rapidly, cyberattackers and cybercriminals start targeting them, and from various media, we can see numerous cyber incidents that have occurred in ...
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