Meta set to double AI recommendations in user feeds.
Meta has announced that it is on track to double the amount of AI-generated recommendations in its platform’s news feeds in the United States this year. The move is part of Meta’s ongoing efforts to improve the relevance and quality of content shown to users. However, Meta’s increased reliance on AI-driven recommendations raises concerns about the potential for the platform to perpetuate biases and filter bubbles. While its focus on AI-driven recommendations may improve user engagement and satisfaction in the short term, it also raises important ethical considerations around the power and influence of algorithmic decision-making on individuals and society as a whole.
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YouTube simplifies channel pages for better engagement.
YouTube has announced a series of changes to its channel page design, aimed at streamlining the layout and making it easier for users to navigate. The redesign includes a simplified menu and updated channel trailer requirements. The move may help content creators better showcase their content and engage their audience more effectively. By simplifying the navigation and demands for channel trailers, creators will be able to more effectively showcase their content and attract new viewers. However, it remains to be seen how these changes will impact the platform’s broader ecosystem as users are resilient to change.
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TikTok shares insights on ad measurement using marketing mix modelling.
TikTok has released new insights into the effectiveness of marketing mix modelling in ad measurement. The report highlights the advantages of this approach over traditional attribution models, particularly in predicting future outcomes and optimising advertising spending. While marketing mix modelling is not a new concept, TikTok’s insights into its application within its platform could be valuable for marketers looking to improve their ad performance.
As TikTok continues to grow in popularity, these insights could provide a helpful reference point for brands looking to optimise their advertising spend on the platform. The benefits of this approach include a more accurate and holistic view of the customer journey, which can help marketers make more informed decisions and ultimately drive better results.
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Instagram is trialling an in-app generative AI sticker creation process.
Instagram is testing a new feature that enables users to create custom stickers within the app using generative AI. The feature allows users to upload an image, which is then transformed into a series of stickers in a range of styles. If rolled out more widely, this feature could provide a new way for users to personalise their Instagram Stories and enhance their creative expression. The success of this feature, however, will depend on its ability to generate high-quality and relevant stickers that resonate with users.
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