<p>This paper examines the state of food insecurity in Pakistan, a developing country that experiences varying degrees of food insecurity across different regions, including Sindh, Balochistan, and KPK. The study employs Latent Dirichlet Allocation (LDA), a topic modeling approach, to analyze a corpus of 15,329 English newspaper articles on food security from 2003 to 2023. The study employs Computational Grounded Theory as a theoretical framework based on the premise that computation is a more effective method for uncovering latent meaning from a vast collection of text. A total of 15 topics were generated through LDA and later divided into four thematic layers. The first thematic layer of topics focuses on the government’s preventive policies aimed at addressing food insecurity. The second layer highlights the contributing economic factors involved in food security, such as inflation and fluctuations in global market rates and stock exchange. The third layer examines the causes of food insecurity, including urbanization, climate change, limited natural resources, and inefficient food distribution and transportation. Lastly, the fourth layer highlights the challenges of food insecurity, including gender, population, the lack of advanced technology in agriculture, and health issues associated with food insecurity. The research has valuable implications for decision-makers and policymakers in devising strategies to overcome food security challenges.</p>