The New State of Social Listening: From Text to Multimodal

Text is so 2019. Social platforms, and the ways people express themselves, have evolved fast. If you’re still only listening to text, you’re missing out. Images, video, audio, even reaction memes and livestreams now hold just as much signal. With more media formats coming down the line, staying multimodal isn’t optional.

Luckily, the SITech space is on it. As we’ve seen in this year’s SITech landscape, social listening tools have been developing rapidly to enable parsing of images, videos and audio transcripts as well as text. Now, social intelligence professionals who need to analyse all types of data have much more choice when building their tech stacks than they did a few years ago.  

But with this rapid expansion of data types, comes challenges. The quality of the technology will still take time to catch up to the level of text-based analysis. This makes generating quality insights harder to guarantee.

Join this panel as we take you through the latest edition of the SITech landscape, explore how modern tech stacks are shifting and highlight what you need to consider when choosing your tools. We’ll discuss:

✅ The biggest shifts in social listening platforms in the past 12 months
✅ How to evaluate the quality of multimodal insights (e.g., text + image + video + audio)
✅ How to track visual or AI-generated content (e.g., deepfakes and AI-altered audio)
✅ Which use cases are best suited for audio and visual intelligence
✅ Whether social listening platforms are innovating quickly enough, and where they should be focusing their efforts
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Register now!

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