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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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Shouq Alrobaian, Saif Alshahrani and Abdulaziz Almaleh
People are the weakest link in the cybersecurity chain when viewed in the context of technological advancement. People become vulnerable to trickery through contemporary technical developments such as social media platforms. Information accessibility and...
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Saeed Ibrahim Alqahtani, Wael M. S. Yafooz, Abdullah Alsaeedi, Liyakathunisa Syed and Reyadh Alluhaibi
Background: With digital transformation and growing social media usage, kids spend considerable time on the web, especially watching videos on YouTube. YouTube is a source of education and entertainment media that has a significant impact on the skill im...
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Ankita Dhar, Himadri Mukherjee, Shibaprasad Sen, Md Obaidullah Sk, Amitabha Biswas, Teresa Gonçalves and Kaushik Roy
Author identification is an important aspect of literary analysis, studied in natural language processing (NLP). It aids identify the most probable author of articles, news texts or social media comments and tweets, for example. It can be applied to othe...
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Lidia Vitkova, Igor Kotenko and Andrey Chechulin
The problem of countering the spread of destructive content in social networks is currently relevant for most countries of the world. Basically, automatic monitoring systems are used to detect the sources of the spread of malicious information, and autom...
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Talal Alharbi and Asifa Tassaddiq
Information exchange has become increasingly faster and efficient through the use of recent technological advances, such as instant messaging and social media platforms. Consequently, access to information has become easier. However, new types of cyberse...
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