Multimedia Storytelling in Journalism: Exploring Narrative Techniques in Snow Fall

Abstract

News stories aim to create an immersive reading experience by virtually transporting the audience to the described scenes. In print journalism, this experience is facilitated by text-linguistic narrative techniques, such as detailed scene reconstructions, a chronological event structure, point-of-view writing, and speech and thought reports. The present study examines how these techniques are translated into journalistic multimedia stories and explores how the distinctive features of text, image, video, audio, and graphic animations are exploited to immerse the audience in otherwise distant news events. To that end, a case study of the New York Times multimedia story Snow Fall is carried out. Results show that scenes are vividly reconstructed through a combination of text, image, video, and graphic animation. The story’s event structure is expressed in text and picture, while combinations of text, video, and audio are used to represent the events from the viewpoints of news actors. Although text is still central to all narrative techniques, it is complemented with other media formats to create various multimedia combinations, each intensifying the experience of immersion.