In this second golden age of data design, digital affordances enable the news media to share occasionally misleading charts about COVID-19. Examining data visualizations about COVID-19 highlights three ways that charts can mislead viewers: (a) by displaying inadequate data, (b) by manipulating scales and visual distance, and (c) by omitting contextual labels needed to fully understand a chart’s message. This article provides takeaways for technical communicators about including and displaying adequate data, representing numbers consistently, and humanizing COVID-19’s effects.

The authors examined a corpus of figure captions from technical and professional communication (TPC)-journal articles to test their sense that TPC captions do not fulfill their communicative potential as well as, they sensed, journals in science often do. The authors performed a content analysis on captions from biology-journal articles and iteratively tested a coding scheme of caption content. The resulting scheme can help in analyzing caption content, developing captions, and imparting a variety of TPC-related skills to students.