Weekly insights into the business of digital content

Choose your words wisely: The role of language in media trust

By Kendall Moe, Senior Project Manager – UF Consortium on Trust in Media and Technology and
Janet Coats, Managing Director – UF Consortium on Trust in Media and Technology

Many media organizations believe that audience perception of bias can be addressed through transparency efforts focused on journalistic process. Unfortunately, there’s a fundamental element of storytelling that may have a much bigger impact on the appearance of bias.

What publishers need to know about the media automation journey

By Michele Bavitz, Global Head of Account Management – Theorem

To date, advertising workflows are still heavily manual, relying on humans to fulfill day-to-day tasks such as audience targeting, campaign set-up, optimization and data analysis. Unfortunately, ad ops professionals have traditionally been excluded from automation discussions.

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Alliance for Audited Media Releases Q3 Magazine Data

Last week AAM released its latest Magazine Media 360° report for Q3 2023. This free industry report provides a comprehensive look at U.S. magazine media reach for 74 brands across multiple platforms and formats including web, mobile web, video, print and digital editions.

Download this report from the Alliance for Audited Media.

People get their information from social media but don’t trust it

By Rande Price, Research VP – DCN

For many people, social media is an indispensable tool for communication, information consumption, and entertainment. However, its pervasiveness raises expert and audience concerns about its potential negative impact, particularly the spread of disinformation and hate speech.

Opportunities and risks of multimodal AI for media

By Sam Gould, Senior Consultant – FT Strategies and
Jhanein Geronimo, Associate Consultant – FT Strategies

We are witnessing the evolution of Generative AI from text-based Large Language Models into other formats such as images, audio and video. Generative AI models that convert between these formats, such as text-to-image models are known as multimodal AI.