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Identification of Social Accounts’ Responses Using Machine Learning Techniques

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Proceedings of International Conference on Intelligent Vision and Computing (ICIVC 2022) (ICIVC 2022)

Part of the book series: Proceedings in Adaptation, Learning and Optimization ((PALO,volume 17))

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Abstract

Twitter bots, or “zombies,” are automated Twitter accounts run by bot software. Bots carry out tasks like sending tweets, following other users in bulk, and tweeting and retweeting material on a vast scale to achieve predetermined objectives. The proliferation of social bots—automated agents typically exploited for nefarious purposes—on social media sites like Twitter is a significant issue. These include using the impact of these accounts to influence a community on a particular issue, disseminate false information, enlist individuals in criminal organisations, control people’s behaviour in the stock market, and extort people into disclosing their data. This work has investigated how bots react to unexpected political events compared to human accounts, explained the general prevalence of political bots on Twitter, and created and implemented a model to recognise them only based on user profiles.

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Authors and Affiliations

  1. Department of Electronics and Telecommunication, Vishwakarma Institute of Technology, Pune, India

    Medha Wyawahare, Rahul Diwate, Agnibha Sarkar, Chirag Agrawal, Ankita Kumari & Archis Khuspe

Authors
  1. Medha Wyawahare
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  2. Rahul Diwate
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  3. Agnibha Sarkar
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  4. Chirag Agrawal
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  5. Ankita Kumari
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  6. Archis Khuspe
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Corresponding author

Correspondence to Agnibha Sarkar .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, Rajasthan Technical University, Kota, Rajasthan, India

    Harish Sharma

  2. Department of Mathematics, National Institute of Technology Agartala, Agartala, Tripura, India

    Apu Kumar Saha

  3. School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia

    Mukesh Prasad

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Wyawahare, M., Diwate, R., Sarkar, A., Agrawal, C., Kumari, A., Khuspe, A. (2023). Identification of Social Accounts’ Responses Using Machine Learning Techniques. In: Sharma, H., Saha, A.K., Prasad, M. (eds) Proceedings of International Conference on Intelligent Vision and Computing (ICIVC 2022). ICIVC 2022. Proceedings in Adaptation, Learning and Optimization, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-031-31164-2_43

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