Misinformation or hard to tell? An eye-tracking study to investigate the effects of food crisis misinformation on social media engagement

Author:

Lee Yen-I.ORCID,Mu Di,Hsu Ying-Chia,Wojdynski Bartosz W.,Binford Matt

Publisher

Elsevier BV

Reference97 articles.

1. Aneja, S., Bregler, C., & Nießner, M. (2021). Cosmos: Catching out-of-context misinformation with self-supervised learning. arXiv preprint arXiv:2101.06278.

2. Arava, K., Paritala, C., Shariff, V., Praveen, S.P., & Madhuri, A. (2022). A generalized model for identifying fake digital images through the application of Deep Learning. 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC). https://doi.org/10.1109/icesc54411.2022.9885341.

3. Novelty or surprise;Barto;Frontiers in Psychology,2013

4. Invisible transparency: Visual attention to disclosures and source recognition in Facebook political advertising;Binford;Journal of Information Technology & Politics,2021

5. Bynum, H. (2018, August 1). The role of social media in food safety and public information. Safe Food Alliance. 〈https://safefoodalliance.com/food-safety/the-role-of-social-media-in-food-safety-and-public-information/〉.

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