Published October 1, 2025 | Version v1.0
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A Heuristic-Based Tool for Authenticity Analysis of Social Media Comments

Authors/Creators

  • 1. Department of Computer Science and Engineering, C Abdul Hakeem College of Engineering and Technology, Ranipet District, Tamil Nadu, India
  • 2. ROR icon Anna University, Chennai

Description

Salman S is a researcher in the Department of Computer Science and Engineering at C Abdul Hakeem College of Engineering and Technology, Ranipet District, Tamil Nadu, India. His work focuses on social media analytics, authenticity detection, and heuristic-based approaches for combating misinformation. He is the author of “A Heuristic-Based Tool for Authenticity,” which introduces a Python-based solution for detecting inauthentic social media comments through rule-based analysis and automated reporting

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Additional details

Related works

References
Journal article: 10.1145/2810103.2810105 (DOI)

Dates

Issued
2024-11-25
Date the work was officially published/issued.

Software

Repository URL
https://github.com/Salman-id85/Social-Comment-Authenticity-Analyzer
Programming language
Python
Development Status
Active

References

  • Ferrara, E., Varol, O., Davis, C., Menczer, F., & Flammini, A. (2016). The rise of social bots. Communications of the ACM, 59(7), 96–104. https://doi.org/10.1145/2810103.2810105 Cresci, S., Di Pietro, R., Petrocchi, M., Spognardi, A., & Tesconi, M. (2017). The paradigm-shift of social spambots: Evidence, theories, and tools for the arms race. In Proceedings of the WWW Companion (pp. 963–972). https://doi.org/10.1145/3041021.3055135 Varol, O., Ferrara, E., Davis, C. A., Menczer, F., & Flammini, A. (2017). Online human-bot interactions: Detection, estimation, and characterization. In Proceedings of the 11th International AAAI Conference on Web and Social Media (ICWSM) (pp. 280–289). Chu, Z., Gianvecchio, S., Wang, H., & Jajodia, S. (2010). Who is tweeting on Twitter: Human, bot, or cyborg? In Proceedings of the 26th Annual Computer Security Applications Conference (ACSAC) (pp. 21–30). https://doi.org/10.1109/ACSAC.2010.34 Stringhini, G., Kruegel, C., & Vigna, G. (2010). Detecting spammers on social networks. In Proceedings of the 26th Annual Computer Security Applications Conference (ACSAC) (pp. 1–9). https://doi.org/10.1109/ACSAC.2010.32 Nakatani, S. (2010). Language detection library for Python. GitHub. Retrieved from https://github.com/Mimino666/langdetect Hassanpour, N. (2014). Sentiment analysis of social media content. U.S. Patent Application 14/023,106. Google. (2023). YouTube Data API. Retrieved from https://developers.google.com/youtube/v3 Meta. (2023). Facebook Graph API. Retrieved from https://developers.facebook.com/docs/graph-api ReportLab. (2023). ReportLab: PDF Generation for Python. Retrieved from https://www.reportlab.com Hunter, J. D. (2007). Matplotlib: A 2D graphics environment. Computing in Science & Engineering, 9(3), 90–95. https://doi.org/10.1109/MCSE.2007.55