AI Use Case Series: AI in Journalism and News [AI Today Podcast]

Data Visualization

AI's role in journalism extends to enhancing data visualization, allowing journalists to craft compelling stories from complex datasets. Ron Schmelzer explains that AI can process and analyze large data sets, generating visual outputs like charts and graphs that help uncover hidden patterns and trends. These tools not only aid journalists in understanding data but also in communicating stories effectively to their audience 1.

It's not just taking data and presenting it, it's crafting the story.

--- Ron Schmelzer

This approach transforms raw data into narratives, making information more accessible and engaging for readers.

   

AI Transcription

Advancements in AI transcription tools have significantly improved the efficiency of content production in journalism. Ron Schmelzer highlights that modern transcription tools have reached a level of accuracy where they can be trusted almost without verification, a stark contrast to earlier versions that were only 80% accurate 1. These tools facilitate the conversion of interviews and spoken content into written form, streamlining the workflow for journalists.

I'm just so surprised now how good they are. And we should thank our large language models.

--- Ron Schmelzer

This technological leap allows journalists to focus more on storytelling and less on manual transcription tasks.