Dataset of Propaganda and Non-Propaganda Poster Titles
Description
The dataset contains titles of propaganda and non-propaganda posters, collected and categorized to support binary classification research. These titles represent textual information from materials aimed at influencing or conveying messages, with an emphasis on distinguishing propaganda from non-propaganda content. The dataset presents binary labels (propaganda/non-propaganda) to enable researchers to study patterns in text classification, particularly in the context of linguistic and stylistic differences between propaganda and non-propaganda messages. The titles were sourced and labeled with a focus on their clarity and alignment with real-world applications in machine learning and natural language processing (NLP). The dataset can also be used for comparative analysis, enabling the exploration of linguistic trends, stylistic features, and the broader implications of propaganda in media and communication. This resource is particularly relevant for researchers in computer science, social sciences, and media studies aiming to explore automated detection, language analysis, and public perception of propaganda content.