1. Agrawal, A. (2016). Clickbait detection using deep learning. In 2nd international conference on next generation computing technologies (NGCT) (pp. 268–272).
2. Bourgonje, P., Schneider, J. M., & Rehm, G. (2017). From clickbait to fake news detection: An approach based on detecting the stance of headlines to articles. In Proceedings of the 2017 EMNLP workshop: Natural language processing meets journalism (pp. 84–89). Association for Computational Linguistics.
3. Capdevila, J., Cerquides, J., & Torres, J. (2018). Mining urban events from the tweet stream through a probabilistic mixture model. Data Mining and Knowledge Discovery, 32(3), 764–786.
4. Conroy, N. J., Rubin, V. L., & Chen, Y. (2015). Automatic deception detection: Methods for finding fake news. In Proceedings of the 78th ASIS&T annual meeting: Information science with impact: Research in and for the community, ASIST’15 (pp. 82:1–82:4).
5. Freid, J. (2018). Facebook’s fight against spam and clickbait and what it means for advertisers. In Marketing land.