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Enrich Socialgist Videos with Social Voice Brand Safety Model (GARM)
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About Socialgist Videos
Spanning a diverse range of video platforms, including YouTube, Dailymotion, AcFun, Vimeo, Rumble, BiliBili, and more, this dataset delivers insights into viral trends, viewer engagement, and content strategies. It provides an in-depth understanding of what captures audience attention and drives video content trends. Perfect for media analysis, content strategy development, and exploring the influence of visual media on public opinion.
About Social Voice Brand Safety Model (GARM)
Analyzes different risks to brand safety according to GARM categorizations.
Quickly enrich Socialgist Videos with Social Voice Brand Safety Model (GARM) with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist Videos
Web data serves as the foundational input for any data pipeline. Pipelines can be powered by diverse data sources, including datasets from our partner ecosystem, proprietary internal systems, or any externally accessible web data.
Step 2
Add Social Voice Brand Safety Model (GARM) to enrich
Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.
Step 3
That's it! You have just connected Socialgist Videos and Social Voice Brand Safety Model (GARM)
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.