• Ritik Anubhav
• Shashwat Topre
• Alhaam Faridi
• Aradhya Singh
• Dr. G C Bhanu Prakash

In recent years, the proliferation of fake news has posed a significant threat to the integrity of democratic processes, particularly during elections. As misinformation spreads rapidly through online platforms, discerning fact from fiction has become increasingly challenging. This research paper explores the application of artificial intelligence (AI) and machine learning (ML) techniques to combat the dissemination of fake news during electoral periods. Drawing on a comprehensive review of existing literature and methodologies, this paper presents a novel approach to fake news detection that harnesses the power of AI and ML algorithms. By leveraging natural language processing (NLP) techniques, feature engineering, and advanced classification models, our proposed framework aims to identify and classify misleading or fabricated news articles with high accuracy. Key components of our methodology include the collection and preprocessing of large-scale datasets, the extraction of informative features from textual content, and the training of predictive models using supervised learning techniques. Additionally, we explore the integration of domain-specific knowledge and contextual cues to enhance the performance of the detection system. Through extensive experimentation and evaluation on real-world datasets, we demonstrate the effectiveness and robustness of our approach in detecting fake news related to electoral processes. We evaluate the performance of our models in terms of precision, recall, and F1-score, comparing them with baseline methods and state-of-the-art techniques. The findings of this research have profound implications for the development of automated tools and platforms to safeguard the integrity of elections and promote informed decision-making among voters. By leveraging AI and ML technologies, we can empower users and stakeholders to identify and mitigate the impact of fake news, thereby preserving the foundation of democratic societies.

Natural language processing (NLP), Deep Learning, Machine Learning, Fake News

"Fake News Detection During Election", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.g236-g241, May-2024, Available :http://www.jetir.org/papers/JETIR2405630.pdf

"Fake News Detection During Election", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppg236-g241, May-2024, Available at : http://www.jetir.org/papers/JETIR2405630.pdf