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	<title>social media moderation &#8211; BIOENGINEER.ORG</title>
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		<title>Hybrid LLM and SHAP framework explains cyberbullying predictions</title>
		<link>https://bioengineer.org/hybrid-llm-and-shap-framework-explains-cyberbullying-predictions/</link>
		
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		<pubDate>Mon, 26 Oct 2026 21:56:41 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Combining]]></category>
		<category><![CDATA[cyberbullying detection]]></category>
		<category><![CDATA[Explainable AI]]></category>
		<category><![CDATA[feature attribution]]></category>
		<category><![CDATA[framework]]></category>
		<category><![CDATA[human-centered evaluation]]></category>
		<category><![CDATA[Hybrid]]></category>
		<category><![CDATA[large]]></category>
		<category><![CDATA[Large Language Models]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[SHAP]]></category>
		<category><![CDATA[social media moderation]]></category>
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					<description><![CDATA[A study of 5,000 Turkish tweets found that SHAP offered detailed feature attributions while local LLM explanations were clearer, with both methods supporting a 100-participant evaluation of cyberbullying predictions.]]></description>
		
		
		
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