Research map / Large language models / AI and society
News Verification by Exploiting Conflicting Social Viewpoints in Microblogs
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| propagate credibility over network with supporting and opposing links from conflicting viewpoints | propagation-based news verification (Jin 2014) · Sina Weibo news | accuracy: 0.801 -> 0.84 | Helped |
| propagate credibility across inter-tweet links instead of tweet-level classification | Kwon(2013) tweet classifier · Sina Weibo news | accuracy: 0.787 -> 0.84 | Helped |
| use conflicting viewpoint links for early detection with 12h delay | Jin(2014) · Sina Weibo early detection | accuracy: 0.657 -> 0.76 | Helped |
| vary topic number K from 3 to 25 (ablation) | CPCV · Sina Weibo news | accuracy: 0.82 to 0.84 | No clear effect |
| vary clustering threshold h from 0.7 to 1.2 (ablation) | CPCV · Sina Weibo news | accuracy: 0.83 to 0.84 | No clear effect |
| set regularization mu high (0.99) to weight links over initial values (ablation) | CPCV · Sina Weibo news | accuracy | Helped |
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