WBCtelling

WBCtelling is a narrative framework used to present complex information through stories that combine qualitative accounts with quantitative data. It aims to help audiences understand policy, science, or social issues by linking data points to human experiences. The approach emphasizes transparency about sources and method, and seeks to balance accuracy with accessibility.

Origin and use: The term is used primarily in discussions of data storytelling and media literacy, where practitioners advocate structuring content around characters, conflicts, and outcomes while embedding verifiable data. It has been applied in educational settings, public communication campaigns, and journalism training.

Methodology: WBCtelling typically involves steps such as selecting a core message, identifying data sources, crafting a narrative arc, integrating visuals, and performing an ethical review to avoid sensationalism and misrepresentation. The method favors clear storytelling frameworks, targeted audience consideration, and iterative testing to improve comprehension and retention.

Formats and platforms: The approach is adaptable to multiple formats, including written articles, video reports, podcasts, and interactive dashboards. It emphasizes accessibility features such as plain-language summaries, captions, alt text, and navigable structures to reach diverse audiences.

Reception and challenges: Proponents argue that WBCtelling improves engagement and understanding of complex topics by connecting data to lived experiences. Critics note risks of bias, data cherry-picking, or over-simplification if editorial standards are not maintained. Effective implementation relies on rigorous sourcing, transparent methods, and ongoing evaluation.

See also: Data storytelling, narrative journalism, information design, science communication.