Monikka Reshmi Sethurajan

Employment

• Christ University

Education

• CHRIST (Deemed to be University) M. Phil (Computer Science), Ph. D (Research Scholar)
  2021 - 2026

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Beyond Fake News Detection: Cyber-Turfing Intelligence for Predictive False Information Defense
  Monikka Reshmi Sethurajan, K.A. Natarajan
  Computer 2026 DOI: 10.1109/MC.2026.3674956
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• A web forensic optimization framework for investigating false information on social media using the ForenOptiNet model
  Monikka Reshmi Sethurajan, K. Natarajan
  Discover Computing 2025 DOI: 10.1007/s10791-025-09810-z
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• FC-Kit: an intelligent fact-checking system for preventing fake news spread in social media through active plugins
  Monikka Reshmi Sethurajan, Natarajan K
  Journal of Cyber Security Technology 2025 DOI: 10.1080/23742917.2025.2572160
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• Synthesizing User Comments to Prospective Viral Interests on New Media Using Sentiment Analysis for Effective Data Visualization Premeditated for Journalism 4.0
  Sagaya Aurelia, Ossama H. Embarak
  Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications -CRC Press 2024 DOI: 10.1201/9781003343332
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• Forecasting Deployment of Web Forensics to Avert Misinformation Spread Using WEFA tool
  Attacks on Artificial Intelligence The New Facets of Cyber Ecospace 2024
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• Performance analysis of semantic veracity enhance (SVE) classifier for fake news detection and demystifying the online user behaviour in social media using sentiment analysis
  Monikka Reshmi Sethurajan, Krishna Prakash Natarajan
  Social Network Analysis and Mining 2024 DOI: 10.1007/s13278-024-01199-9
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• Synthesis of Online Criminal User Behaviours Disseminating Bengali Fake News Using Sentiment Analysis
  Monikka Reshmi Sethurajan, Krishna Prakash Natarajan
  Lecture Notes in Networks and Systems 2024 DOI: 10.1007/978-981-97-0975-5_35
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• Synthesizing user comments to prospective viral interests on new media using sentiment analysis for effective data visualization premeditated for journalism 4.0
  Monikka Reshmi Sethurajan, Krishna Prakash Natarajan
  Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications 2024 DOI: 10.1201/9781003343332-17
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• Deploying NLP techniques in Twitch application to comprehend online user behaviour
  Monikka Reshmi Sethurajan, Krishna Prakash Natarajan
  2023 IEEE International Conference on Contemporary Computing and Communications (InC4) 2023 DOI: 10.1109/inc457730.2023.10263085
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• An Adept Approach to Ascertain and Elude Probable Social Bots Attacks on Twitter and Twitch Employing Machine Learning Approach
  SSRN 2023 DOI: 10.2139/ssrn.4526683
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• An adept approach to ascertain and elude probable social bots attacks on twitter and twitch employing machine learning approach
  Monikka Reshmi Sethurajan, Krishna Prakash Natarajan
  MethodsX 2023 DOI: 10.1016/j.mex.2023.102430
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• Deploying Fact-Checking Tools to Alleviate Misinformation Promulgation in Twitter Using Machine Learning Techniques
  Monikka Reshmi Sethurajan, Krishna Prakash Natarajan
  Third Congress on Intelligent Systems 2023 DOI: 10.1007/978-981-19-9379-4_25
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• Twitter Bot Detection to Deter Bogus News Using Machine Learning Algorithms
  Monikka Reshmi Sethurajan, Krishna Prakash Natarajan
  Algorithms for Intelligent Systems 2023 DOI: 10.1007/978-981-99-3485-0_63
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• Malevolent Application of Bots-Detecting and Forecasting the Prospect of Bots Triggering Misinformation Spread Using the Machine Learning Approach
  International Journal of Special Education 2022
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