THE ROLE OF DATA SCIENCE IN COMBATING MISINFORMATION: ALGORITHMS, ETHICS, AND POLICY

Authors

  • Dr. Hira Qureshi Department of Computer Science, National University of Sciences and Technology (NUST), Islamabad, Pakistan. Author

Keywords:

Misinformation Detection, Algorithmic Ethics, Natural Language Processing, Data Science Policy

Abstract

In the digital era, misinformation has become a global challenge, threatening democratic processes, public health, and societal harmony. This paper explores the pivotal role of data science in combating misinformation by leveraging machine learning algorithms, natural language processing (NLP), and network analysis techniques. We analyze current frameworks used to detect, classify, and mitigate misinformation across various platforms. The ethical implications of algorithmic decisions and the need for transparent, fair, and accountable policies are also discussed. Emphasizing Pakistan's digital landscape, the study proposes policy-level interventions and highlights the importance of inter-sectoral collaboration between governments, academia, and tech industries.

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Published

2025-01-04

Issue

Vol. 5 No. 1 (2025): Multidisciplinary Research in Computing Information Systems

Section

Articles

License

All articles published in the Multidisciplinary Research in Computing Information Systems are licensed under an open-access model. Authors retain full copyright and grant the journal the right of first publication. The content can be freely accessed, distributed, and reused for non-commercial purposes, provided proper citation is given to the original work.