Inferring Climate Change Stances from Multimodal Tweets

Author:

Bai Nan1ORCID,da Silva Torres Ricardo2ORCID,Fensel Anna2ORCID,Metze Tamara3ORCID,Dewulf Art2ORCID

Affiliation:

1. Wageningen University & Research & Delft University of Technology, Wageningen, Netherlands

2. Wageningen University & Research, Wageningen, Netherlands

3. Delft University of Technology, Delft, Netherlands

Funder

Data Science and Artificial Intelligence programme by Wageningen Data Competence Center, Wageningen University & Research

Publisher

ACM

Reference44 articles.

1. Heri-Graphs: A Dataset Creation Framework for Multi-Modal Machine Learning on Graphs of Heritage Values and Attributes with Social Media

2. Tadas Baltru?aitis, Chaitanya Ahuja, and Louis-Philippe Morency. 2018. Multimodal machine learning: A survey and taxonomy. IEEE transactions on pattern analysis and machine intelligence 41, 2 (2018), 423--443.

3. Shraey Bhatia, Jey Han Lau, and Timothy Baldwin. 2021. Automatic classification of neutralization techniques in the narrative of climate change scepticism. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, Online, 2167--2175.

4. Dallas Card, Amber Boydstun, Justin H Gross, Philip Resnik, and Noah A Smith. 2015. The media frames corpus: Annotations of frames across issues. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). Association for Computational Linguistics, Beijing, China, 438--444.

5. Jun Chen Deyao Zhu Xiaoqian Shen Xiang Li Zechun Liu Pengchuan Zhang Raghuraman Krishnamoorthi Vikas Chandra Yunyang Xiong and Mohamed Elhoseiny. 2023. Minigpt-v2: large language model as a unified interface for vision-language multi-task learning. arXiv:2310.09478

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