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Found 8 papers, 2 papers with code
Not all Fake News is Written: A Dataset and Analysis of Misleading Video Headlines
Polarization and the marketplace for impressions have conspired to make navigating information online difficult for users, and while there has been a significant effort to detect false or misleading text, multimodal datasets have received considerably less attention.
A Benchmark Dataset of Check-worthy Factual Claims
In this paper we present the ClaimBuster dataset of 23, 533 statements extracted from all U. S. general election presidential debates and annotated by human coders.
Automatically Assessing Quality of Online Health Articles
The information ecosystem today is overwhelmed by an unprecedented quantity of data on versatile topics are with varied quality.
Examining the Role of Clickbait Headlines to Engage Readers with Reliable Health-related Information
Clickbait headlines are frequently used to attract readers to read articles.
Diving Deep into Clickbaits: Who Use Them to What Extents in Which Topics with What Effects?
The use of alluring headlines (clickbait) to tempt the readers has become a growing practice nowadays.
Dis-S2V: Discourse Informed Sen2Vec
Our first approach retrofits (already trained) Sen2Vec vectors with respect to the network in two different ways: (1) using the adjacency relations of a node, and (2) using a stochastic sampling method which is more flexible in sampling neighbors of a node.
Crowdsourcing Pareto-Optimal Object Finding by Pairwise Comparisons
This design is both sufficient and efficient, as it is proven to find a short terminal question sequence.
