In our current digital age, Data Journalism’s role is one that is highly important. Through data gathering, analysis, and reporting, journalists can unveil truths, confront biases, and advocate for reform. This influence, however, demands an unwavering commitment to data integrity.

Consider Caroline Criado-Perez’s “Invisible Women.” She exposes a “male-fits-all” bias, spotlighting data omissions that bypass women. Whether in medical studies or city planning, data often mirrors male-centric standards. These tendencies emphasize the need for inclusive reporting and addressing imbalances.

Kevin Guyan’s “Queer Data” underlines the importance of capturing data on underrepresented groups, especially those with diverse sexual and gender identities. This isn’t just about representation; it’s about grasping our community’s multifaceted realities.

Nikki Stevens’ “Data Set Failures” offers insights into the challenges of collecting data from diverse open-source communities. She highlights the nuances in data-gathering techniques, reminding reporters of data’s multifaceted essence and the obligation to handle it judiciously.

The Data & Society podcast “Becoming Data” notes that data, while enlightening, can misguide if stripped of context. The power structures inherent in data suggest that tools may be impartial, but their usage isn’t. Reporters must ensure data amplifies truth, not just power dynamics.

So, what is data journalism’s duty? It’s a relentless quest for authenticity, translating complex data into lucid tales, and safeguarding against data misuse. In essence, it is at the nexus of digital innovation, truth, and public trust. It can spotlight marginalized narratives and champion the unheard, but with great power comes the duty to ensure data’s genuine portrayal of our shared human journey.