Potthast et al., 2018 - Google Patents
Crowdsourcing a large corpus of clickbait on twitterPotthast et al., 2018
View PDF- Document ID
- 1800665317935561867
- Author
- Potthast M
- Gollub T
- Komlossy K
- Schuster S
- Wiegmann M
- Fernandez E
- Hagen M
- Stein B
- Publication year
- Publication venue
- Proceedings of the 27th international conference on computational linguistics
External Links
Snippet
Clickbait 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 2017. To avoid biases in terms of publisher and topic, tweets were sampled …
- 238000005070 sampling 0 abstract description 14
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