How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process
arXiv:2607.10523v1 Announce Type: cross Abstract: Data narratives increasingly shape public understanding, but their failures are rarely just isolated factual errors or deceptive charts. Instead, they emerge through a broader meaning-making process in which quantitative evidence is transformed into claims, representations, and arguments. While prior work has examined these failures across disparate fields (e.g., statistics, visualization, and fact-checking), the community lacks a holistic lens t
Record details
Published: 14 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Bias & fairness
Retrieved: 14 July 2026
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ethics.ai (14 July 2026), “How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process,” evidence record 1556, https://ethics.ai/record/1556 (originally published by arXiv cs.CY).
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