Clicks for money: Predicting video views through a sentiment analysis of titles and thumbnails

Author:

Cui Geng,Chung Yuho,Peng Ling,Wang Qiaofei

Funder

Research Grants Council, University Grants Committee

Lingnan University

Publisher

Elsevier BV

Reference65 articles.

1. The effects of visual congruence on increasing consumers’ brand engagement: An empirical investigation of influencer marketing on Instagram using deep-learning algorithms for automatic image classification;Argyris;Computers in Human Behavior,2020

2. Awadalla, A., Gao, I., Gardner, J., Hessel, J., Hanafy, Y., Zhu, W., Marathe, K., Bitton, Y., Gadre, S., Sagawa, S., Jitsev, J., Kornblith, S., Pang, W., Ilharco, G., Wortsman, M., & Schmidt, L. (2023). Openflamingo: An open-source framework for training large autoregressive vision-language models. arXiv preprint arXiv:2308.01390. DOI: 10.48550/arXiv.2308.01390.

3. Seeing through the forest: The gaze path to purchase;Behe;PLoS One,2020

4. What makes online content viral;Berger;Journal of Marketing Research,2012

5. What makes content engaging? How emotional dynamics shape success;Berger;Journal of Consumer Research,2021

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