How Data Journalists Deliver Data Stories

WebinarSeptember 2022

The past few years have been rife with data stories. Whether it is the Covid-19 pandemic, election results, or financial news, data journalists have democratized insights with rich visual imagery and fact-based reporting.

In this fire-side chat, data journalists Betsy Ladyzhets, Kimberly Herrington, and Michelle McGhee, outline how they develop data stories, best practices for communicating data insights with wider audiences, tips on effective data visualization, and how data storytelling can be a tool to drive data literacy.

Key Takeaways

Best practices communicating data with a wide audience with different levels of data literacy
How to effectively, and responsibly craft a narrative around data stories
How data storytelling can advance an organization’s data culture

Summary

Data storytelling has never been more vital in the media world, particularly as we tackle complex subjects like COVID-19 and public policy. The session explored how data journalists develop stories that are both captivating and informative, enhancing understanding through data visualization. The panelists, including Kimberly Harrington, Michelle McGee, and Betsy Laizetz, shared insights from their various fields. They discussed the progression of data storytelling, emphasizing the need for balancing complexity with accessibility. The discussion also spotlighted the role of color in storytelling, the importance of narrative development, and the challenge of maintaining audience engagement in an era of shortened attention spans. With the emergence of technologies like generative AI, the future promises even more interactive and immersive data stories, highlighting the importance of building trust and ensuring data quality.

Key Takeaways:

The world of data storytelling and journalism has evolved significantly, with a focus on accessibility and engagement.
Successful data stories balance complexity with clarity to reach a wide audience.
Color and narrative development are critical elements in enhancing the impact of data stories.
Emerging technologies like generative AI could revolutionize data storytelling by making it more interactive.
Building trust through transparent data validation and quality checks is essential for credibility.

Deep Dives

The Evolution of Data Storytelling

Data storytelling has undergone a transformation over the past few years, becoming a vital tool in communica ...
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ting complex information to the public. Betsy Laizetz highlights the shift from dense dashboards to more focused narratives that address specific audience needs. This progression is driven by the need to make data accessible and digestible for a wider audience, particularly in the context of pandemic-related data. The ability to explain the source and methodology of data is vital in building authority and trust. As Kimberly Harrington notes, the challenge lies in balancing complexity with accessibility to ensure that data stories are as impactful as they are informative.

The Role of Color in Data Visualization

Color plays a significant role in data visualization, influencing how audiences perceive and interpret information. Michelle McGee emphasizes the emotional impact of color choices, citing examples like the CDC’s shift from using bright red to softer pastels in their COVID-19 maps. Such choices can change the narrative tone and audience perception. Kimberly Harrington adds that color weight, or the intensity of color used, guides the viewer's attention to key elements of a visualization. This technique is particularly useful in internal communications, where corporate color schemes can reinforce brand identity and message coherence.

Crafting Engaging Narratives

Creating compelling narratives is at the heart of effective data storytelling. Michelle McGee shares the importance of not burying the lead and engaging the audience from the start. Personalization is a powerful tool that can make stories more relatable and interactive, such as including audience input or localizing data stories. Kimberly Harrington expands on the importance of the "here's what, so what, now what" framework, which ensures that stories are not only informative but also actionable. This approach encourages collaboration with the audience to refine narratives that resonate deeply.

Overcoming Shortened Attention Spans

In a world with shortening attention spans, data storytellers face the challenge of keeping audiences engaged. Betsy Laizetz and Michelle McGee discuss strategies such as breaking down complex information into digestible portions and using visual storytelling to spark interest quickly. Interactive elements, like those seen in The New York Times’ interactive graphs, invite readers to participate and stay engaged. The use of technology, such as virtual reality or interactive dashboards, can further enhance engagement by immersing the audience in the data story.