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News Verification by Exploiting Conflicting Social Viewpoints in Microblogs

AAAI 2016 · Large language models › AI and society · approach: Data commons and human baselines · 371 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
propagate credibility over network with supporting and opposing links from conflicting viewpointspropagation-based news verification (Jin 2014) · Sina Weibo newsaccuracy: 0.801 -> 0.84Helped
propagate credibility across inter-tweet links instead of tweet-level classificationKwon(2013) tweet classifier · Sina Weibo newsaccuracy: 0.787 -> 0.84Helped
use conflicting viewpoint links for early detection with 12h delayJin(2014) · Sina Weibo early detectionaccuracy: 0.657 -> 0.76Helped
vary topic number K from 3 to 25 (ablation)CPCV · Sina Weibo newsaccuracy: 0.82 to 0.84No clear effect
vary clustering threshold h from 0.7 to 1.2 (ablation)CPCV · Sina Weibo newsaccuracy: 0.83 to 0.84No clear effect
set regularization mu high (0.99) to weight links over initial values (ablation)CPCV · Sina Weibo newsaccuracyHelped

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