Understanding Influence Operations via Images

Author:

Khetharpal Bhanu1ORCID,Khanooja Anandita1ORCID,Verma Abhishree1ORCID,Ankita Ankita1ORCID,Kaushal Rishabh2ORCID

Affiliation:

1. Indira Gandhi Delhi Technical University for Women, India

2. Maastricht University, Netherlands and Indira Gandhi Delhi Technical University for Women, India

Publisher

ACM

Reference8 articles.

1. Fabio Barbero, Sander op den Camp, Kristian van Kuijk, Carlos Soto García-Delgado, Gerasimos Spanakis, and Adriana Iamnitchi. 2023. Multi-Modal Embeddings for Isolating Cross-Platform Coordinated Information Campaigns on Social Media. In Multidisciplinary International Symposium on Disinformation in Open Online Media. Springer, 14–28.

2. Journal of Statistical Mechanics: Theory and Experiment

3. Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. arxiv:1910.13461 [cs.CL]

4. Lynnette Hui Xian Ng, JD Moffitt, and Kathleen M Carley. 2022. Coordinated through aweb of images: Analysis of image-based influence operations from china, iran, russia, and venezuela. arXiv preprint arXiv:2206.03576 (2022).

5. Uncovering Coordinated Networks on Social Media: Methods and Case Studies

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