With hundreds of thousands of hours of content being produced by, and for newsrooms daily, the quest to automate many labour-intensive and laborious physical tasks within production workflows continues to challenge broadcasters and news agencies.
Following on from the AI enabled Content Moderation Accelerator project of 2020, this Al Jazeera-led project, returned in 2021 with a new challenge that essentially continued the theme of content moderation, focused on a topic of significant reputational value to broadcasters; how to detect, measure and flag bias and tonality to ensure fairness and transparency in news reporting?
The other key theme of the project was to preserve and protect the fundamental notion of neutrality, so sacred in news reporting to ensure that multiple perspectives are covered to ensure a balance in the representation and portrayal of diverse genders, cultures and ethnicities.
What if news broadcasters and agencies could use machine learning as a tool to help them analyse their coverage, enabling them to pick up trends in language and track sentiment over the course of an unfolding story or issue. Well, that’s exactly what this project has been exploring and will discuss in detail in their upcoming PoC demonstration in January 2022….
Register for IBC Digital to view this session as well as the others in the IBC Accelerator Media Innovation Programme.