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The Clickbait Challenge 2017: Towards a Regression Model for Clickbait Strength
[article]
2018
arXiv
pre-print
Clickbait has grown to become a nuisance to social media users and social media operators alike. Malicious content publishers misuse social media to manipulate as many users as possible to visit their websites using clickbait messages. Machine learning technology may help to handle this problem, giving rise to automatic clickbait detection. To accelerate progress in this direction, we organized the Clickbait Challenge 2017, a shared task inviting the submission of clickbait detectors for a
arXiv:1812.10847v1
fatcat:qbwxzbpfsjhczh2bjfqyqzq7yq