Content Analysis of Agriculture News Published in English Daily (Business Line)

Abstract

Content analysis can be used with various data sources, including textual data, visual stimuli (e.g., photographs/videos), and audio data. An English daily newspaper (Business Line) was purposively selected for content analysis study. From June 2020 to May 2021, the daily newspapers were surveyed to study the subject matter coverage and monthly frequency. The study shows that the news published was highly about government policies/plans/reforms, weather & climate, commodities sales & trends, and exports and imports. From the selected year, it was found that highly frequent coverage of the agricultural news was observed during October, followed by June and May months. Readability analysis was done by randomly selecting five percent of the articles from the total news items identified. From the analysis, it can be viewed that the level of difficulty in reading the articles ranged from standard to very difficult. The average score was found as 46.9, which is “Difficult” to read. It is concluded that the newspaper had good coverage of agriculture articles and it has been suggested to reduce the difficulty level of the contents of the articles.