The daily flow of breaking news is channelled according to television’s editorial principles. These principles determine the order and duration of the news. Identifying simple patterns could bring important value, as public television reaches large numbers of the population.
Editing television news programs is a complex task. The daily flow of breaking news is channeled according to television’s editorial principles. These principles determine the order and the duration of the news; however, these are rarely accessible. Hence, investigating a technique for identifying simple patterns in news articles could bring important value.
The research consists of three steps: capturing the data using annotations which involved viewing the news items and annotating each with data; the second, was designing the visualization that best suited the content; and finally, the implementation of the visualization using the Processing programming language. My findings illustrate an alignment between the news output and the government’s narrative. I discuss the opportunities and challenges of the data collection and editing process and visualization choice.
Mihály Minkó is a lecturer, design researcher and practitioner at the Data Storytelling Hub at Moholy-Nagy University of Arts and Design in Budapest, Hungary. He works at the frontiers of data visualization. In addition to creating digital representations of data, he also creates physical data installations for museums and the urban environment. In his work, he is committed to using data visualisation to shed light on hidden processes in society and make them visible.