Research map / Learning theory and algorithms / Submodular and game algorithms
"8 Amazing Secrets for Getting More Clicks": Detecting Clickbaits in News Streams Using Article Informality
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| combine all feature types vs informality & forward-reference only (ablation) | GBDT clickbait classifier · Clickbait detection | weighted F-1: 0.732 -> 0.772 | Helped |
| use informality & forward-reference features instead of similarity features (ablation) | GBDT clickbait classifier · Clickbait detection | weighted F-1: 0.584 -> 0.732 | Helped |
| use content features instead of URL features (ablation) | GBDT clickbait classifier · Clickbait detection | weighted F-1: 0.666 -> 0.717 | Helped |
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