
DataFramed #112 Data Journalism in the Age of COVID-19
Nov 7, 2022
Betsy Ladyzhets, an independent science and health journalist and founder of the COVID-19 Data Dispatch, dives into the evolution of data journalism during the pandemic. She discusses how data storytelling has become crucial for public understanding and the need for transparency and credibility in reporting. Betsy also highlights the impact of AI and visualization tools on the field, the importance of accessibility for local audiences, and future trends that could revolutionize how data is shared.
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Transcript
Episode notes
Delivering Data Stories
- Balance simplicity and depth in data stories; cater to varying reader engagement levels.
- Use journalistic principles and share methodology, sources, and caveats.
Data Visualization Best Practices
- Keep data visualizations simple, focusing on clear takeaways and appropriate color choices.
- Include titles, labels, sources, timestamps, and annotations for clarity.
Data-Driven Narratives
- Let data shape the narrative, avoiding pre-conceived arguments.
- Acknowledge uncertainties and limitations within datasets, especially in areas like polling.

