Exploring Conflict, Montage, and AI: Transforming Data Storytelling in the Communications of the ACM

Data storytelling communicates data analysis results through engaging narratives, employing cinematic techniques like narrative arcs and framing. A recent discussion highlighted key questions about the nature of data storytelling, including its ethical boundaries and the role of AI. Audience queries addressed whether conflict is necessary in storytelling, emphasizing that all narratives involve some form of conflict or transformation. When data fails to present an issue, it should be presented without narrative embellishment. Montage techniques also emerged, suggesting that structuring a story effectively engages audiences—starting with a compelling hook or using flashbacks. Additionally, AI is increasingly integral to data storytelling, serving as a creator, optimizer, reviewer, and assistant. This partnership enhances narrative quality while retaining human oversight to mitigate biases. Ultimately, the discussion underscores the importance of conflict, narrative structure, and ethical AI use in evolving data storytelling practices, promoting thoughtful engagement with the audience.

Source link