Кликбейт анықтау

task ID: clickbaitdetection

Related Papers

Crowdsourcing a Large Corpus of Clickbait on Twitter

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractClickbait has become a nuisance on social media. To address the urging task of clickbait detection, we constructed a new corpus of 38,517 annotated Twitter tweets, the Webis Clickbait Corpus …...

5387

Reinforced Co-Training

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractCo-training is a popular semi-supervised learning framework to utilize a large amount of unlabeled data in addition to a small labeled set. Co-training methods exploit predicted labels on the unlabeled …...

20920

Clickbait Detection with Style-aware Title Modeling and Co-attention

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractClickbait is a form of web content designed to attract attention and entice users to click on specific hyperlinks. The detection of clickbaits is an important task for online platforms …...

5590

Jack-flood at SemEval-2023 Task 5:Hierarchical Encoding and Reciprocal Rank Fusion-Based System for Spoiler Classification and Generation

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThe rise of social media has exponentially witnessed the use of clickbait posts that grab users’ attention. Although work has been done to detect clickbait posts, this is the first …...

24710