Clickbait detection on WeChat: A deep model integrating semantic and syntactic information-Reference-Cited by-同舟云学术

Clickbait detection on WeChat: A deep model integrating semantic and syntactic information

Published:2022-06 Issue: Volume:245 Page:108605
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Liu Tong^ORCID,Yu Ke,Wang Lu,Zhang Xuanyu,Zhou Hao^ORCID,Wu Xiaofei

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference36 articles.

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4. P. Biyani, K. Tsioutsiouliklis, J. Blackmer, “ 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, (1) 2016.

5. Fishing for clickbaits in social images and texts with linguistically-infused neural network models;Glenski,2017

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