Construction and Empirical Study of Data Storytelling Evaluation System Under Data,Story and Insight Dimensions
[Purpose/Significance]Data storytelling involves the processes of utilizing,presenting,and dissemi-nating data,capable of inspiring audience action.It constitutes a crucial means for realizing the data value in the data era.However,the current understanding of the data storytelling quality in both academia and industry remains rela-tively superficial and subjective.It lacks theoretical support and objective measurement,making it even more difficult to answer the fundamental question of what constitutes a"good"data storytelling.Based on it,this paper constructs a theoretical evaluation model and a quantitative evaluation system to enrich the theoretical knowledge of data storytell-ing and provide diagnostic and improvement tools for practical activities.[Method/Process]Building upon narrative theory,this paper proposed an evaluation model based on three core dimensions:data,story and insights.Using math-ematical formulas,it delineated three types and seven subtypes of evaluation models,providing theoretical support for the construction of the assessment system.According to the principles of quantifiability and operability,it introduced a nine-metric evaluation system,and validated its reliability and validity through empirical research.[Result/Conclu-sion]The constructed evaluation system is credible and effective.High-quality data stories should be characterized by data accuracy,inclusion of necessary details,standardization of data sources,and so on.The evaluation system and the work corresponding to the evaluation model types can be used for the diagnosis and improvement of the works.
narrative theorydata storytelling qualitydata storytelling evaluationquantitative evaluation systemdiagnosis and improvement
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NSTL
万方数据
