% Use this file for citations not found in the ACL Anthology (contained in "anthology.bib").
@inproceedings{da2020semeval,
  title={SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles},
  author={Da San Martino, Giovanni and Barr{\'o}n-Cede{\~n}o, Alberto and Wachsmuth, Henning and Petrov, Rostislav and Nakov, Preslav},
  booktitle={Proceedings of the Fourteenth Workshop on Semantic Evaluation},
  pages={1377--1414},
  year={2020}
}

@article{li2021survey,
  title={A survey of convolutional neural networks: analysis, applications, and prospects},
  author={Li, Zewen and Liu, Fan and Yang, Wenjie and Peng, Shouheng and Zhou, Jun},
  journal={IEEE transactions on neural networks and learning systems},
  year={2021},
  publisher={IEEE}
}
@article{sanh2019distilbert,
  title={DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter},
  author={Sanh, Victor and Debut, Lysandre and Chaumond, Julien and Wolf, Thomas},
  journal={arXiv preprint arXiv:1910.01108},
  year={2019}
}

@inproceedings{conneau2020unsupervised,
  title={Unsupervised Cross-lingual Representation Learning at Scale},
  author={Conneau, Alexis and Khandelwal, Kartikay and Goyal, Naman and Chaudhary, Vishrav and Wenzek, Guillaume and Guzm{\'a}n, Francisco and Grave, {\'E}douard and Ott, Myle and Zettlemoyer, Luke and Stoyanov, Veselin},
  booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
  pages={8440--8451},
  year={2020}
}

@inproceedings{semeval2024task4,
	title={SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes},
	author={Dimitrov, Dimitar and Alam, Firoj and Hasanain, Maram and Hasnat, Abul and Silvestri, Fabrizio and Nakov, Preslav and Da San Martino, Giovanni},
	booktitle = {Proceedings of the 18th International Workshop on Semantic Evaluation},
series = {SemEval 2024},
year = {2024},
address = {Mexico City, Mexico},
month = {June},
pages = {}, 
doi= {} 
}


@inproceedings{dimitrov2021semeval,
  title={SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images},
  author={Dimitrov, Dimitar and Ali, Bishr Bin and Shaar, Shaden and Alam, Firoj and Silvestri, Fabrizio and Firooz, Hamed and Nakov, Preslav and Da San Martino, Giovanni},
  booktitle={Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)},
  pages={70--98},
  year={2021}
}

@article{moody2019analysis,
  title={Analysis of Facebook meme groups used during the 2016 US presidential election},
  author={Moody-Ramirez, Mia and Church, Andrew B},
  journal={Social Media+ Society},
  volume={5},
  number={1},
  pages={2056305118808799},
  year={2019},
  publisher={SAGE Publications Sage UK: London, England}
}

@inproceedings{da2021survey,
  title={A survey on computational propaganda detection},
  author={Da San Martino, Giovanni and Cresci, Stefano and Barr{\'o}n-Cede{\~n}o, Alberto and Yu, Seunghak and Di Pietro, Roberto and Nakov, Preslav},
  booktitle={Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence},
  pages={4826--4832},
  year={2021}
}

@article{vaswani2017attention,
  title={Attention is all you need},
  author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, {\L}ukasz and Polosukhin, Illia},
  journal={Advances in neural information processing systems},
  volume={30},
  year={2017}
}

@inproceedings{kenton2019bert,
  title={BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding},
  author={Kenton, Jacob Devlin Ming-Wei Chang and Toutanova, Lee Kristina},
  booktitle={Proceedings of NAACL-HLT},
  pages={4171--4186},
  year={2019}
}

@article{liu2019roberta,
  title={Roberta: A robustly optimized bert pretraining approach},
  author={Liu, Yinhan and Ott, Myle and Goyal, Naman and Du, Jingfei and Joshi, Mandar and Chen, Danqi and Levy, Omer and Lewis, Mike and Zettlemoyer, Luke and Stoyanov, Veselin},
  journal={arXiv preprint arXiv:1907.11692},
  year={2019}
}

@inproceedings{he2020deberta,
  title={DEBERTA: DECODING-ENHANCED BERT WITH DISENTANGLED ATTENTION},
  author={He, Pengcheng and Liu, Xiaodong and Gao, Jianfeng and Chen, Weizhu},
  booktitle={International Conference on Learning Representations},
  year={2020}
}

@inproceedings{simonyan2015very,
  title={Very deep convolutional networks for large-scale image recognition},
  author={Simonyan, K and Zisserman, A},
  booktitle={3rd International Conference on Learning Representations (ICLR 2015)},
  year={2015},
  organization={Computational and Biological Learning Society}
}

@inproceedings{he2016deep,
  title={Deep residual learning for image recognition},
  author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={770--778},
  year={2016}
}

@inproceedings{dosovitskiy2020image,
  title={An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale},
  author={Dosovitskiy, Alexey and Beyer, Lucas and Kolesnikov, Alexander and Weissenborn, Dirk and Zhai, Xiaohua and Unterthiner, Thomas and Dehghani, Mostafa and Minderer, Matthias and Heigold, Georg and Gelly, Sylvain and others},
  booktitle={International Conference on Learning Representations},
  year={2020}
}

@inproceedings{radford2021learning,
  title={Learning transferable visual models from natural language supervision},
  author={Radford, Alec and Kim, Jong Wook and Hallacy, Chris and Ramesh, Aditya and Goh, Gabriel and Agarwal, Sandhini and Sastry, Girish and Askell, Amanda and Mishkin, Pamela and Clark, Jack and others},
  booktitle={International conference on machine learning},
  pages={8748--8763},
  year={2021},
  organization={PMLR}
}

@inproceedings{he2022debertav3,
  title={DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing},
  author={He, Pengcheng and Gao, Jianfeng and Chen, Weizhu},
  booktitle={The Eleventh International Conference on Learning Representations},
  year={2022}
}

@article{antypas2023negativity,
  title={Negativity spreads faster: A large-scale multilingual twitter analysis on the role of sentiment in political communication},
  author={Antypas, Dimosthenis and Preece, Alun and Camacho-Collados, Jose},
  journal={Online Social Networks and Media},
  volume={33},
  pages={100242},
  year={2023},
  publisher={Elsevier}
}


@inproceedings{baly2020we,
  title={We Can Detect Your Bias: Predicting the Political Ideology of News Articles},
  author={Baly, Ramy and Da San Martino, Giovanni and Glass, James and Nakov, Preslav},
  booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  pages={4982--4991},
  year={2020}
}

@inproceedings{gururangan2020don,
  title={Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks},
  author={Gururangan, Suchin and Marasovi{\'c}, Ana and Swayamdipta, Swabha and Lo, Kyle and Beltagy, Iz and Downey, Doug and Smith, Noah A},
  booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
  pages={8342--8360},
  year={2020}
}

@article{miyato2016adversarial,
  title={Adversarial training methods for semi-supervised text classification},
  author={Miyato, Takeru and Dai, Andrew M and Goodfellow, Ian},
  journal={arXiv preprint arXiv:1605.07725},
  year={2016}
}
