Deep Dive into Clickbait Secrets: Integrating Multi-modal Features and Leveraging Deep Learning Architectures
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3588-4_14
Reference17 articles.
1. Dastidar AK, Khairnar A, Anand M, Sirnapalli P, Srinivas SK (2023) You’ll never believe the clickbait unveiled: insights from a unique dataset of clustered websites. Gradiva Rev J 9(8):319–328
2. Biyani P, Tsioutsiouliklis K, Blackmer J (2016) 8 amazing secrets for getting more clicks: detecting clickbaits in news streams using article informality. In: Proceedings of the AAAI conference on artificial intelligence, vol 30
3. Coleman M, Liau TL (1975) A computer readability formula designed for machine scoring. J Appl Psychol 60:283–284
4. Anderson J (1983) Lix and rix: variations on a little-known readability index
5. Blom JN, Hansen KR (2015) Click bait: forward-reference as lure in online news headlines. J Pragmat 76:87–100. https://doi.org/10.1016/j.pragma.2014.11.010
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