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	<title>social media analytics &#8211; BIOENGINEER.ORG</title>
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		<title>When You Post May Matter More Than What You Post: AI Model Taps Timing to Predict TikTok Virality</title>
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		<pubDate>Sun, 04 Oct 2026 13:55:45 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[cyclic encoding]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[feature-wise gating]]></category>
		<category><![CDATA[multimodal fusion]]></category>
		<category><![CDATA[posting time]]></category>
		<category><![CDATA[predictive modeling]]></category>
		<category><![CDATA[recommender systems]]></category>
		<category><![CDATA[short-video popularity prediction]]></category>
		<category><![CDATA[social media analytics]]></category>
		<category><![CDATA[temporal embedding]]></category>
		<category><![CDATA[TikTok]]></category>
		<category><![CDATA[viral content]]></category>
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					<description><![CDATA[A new deep learning model called TimePop shows that the exact time a short video is posted carries a powerful and previously neglected signal for predicting whether it will go viral.]]></description>
		
		
		
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