📋 Improving Generalization for Multimodal Fake News Detection

Improving Generalization for Multimodal Fake News Detection

This repository is the official implementation of Improving Generalization for Multimodal Fake News Detection.

Please use the following citation:

@inproceedings{conf/mir/Tahmasebi23,
  author       = {Sahar Tahmasebi and
                  Sherzod Hakimov and
                  Ralph Ewerth and
                  Eric M{\"{u}}ller{-}Budack},
  editor       = {Ioannis Kompatsiaris and
                  Jiebo Luo and
                  Nicu Sebe and
                  Angela Yao and
                  Vasileios Mazaris and
                  Symeon Papadopoulos and
                  Adrian Popescu and
                  Zi Helen Huang},
  title        = {Improving Generalization for Multimodal Fake News Detection},
  booktitle    = {Proceedings of the 2023 {ACM} International Conference on Multimedia
                  Retrieval, {ICMR} 2023, Thessaloniki, Greece, June 12-15, 2023},
  pages        = {581--585},
  publisher    = {{ACM}},
  year         = {2023},
  url          = {https://doi.org/10.1145/3591106.3592230},
  doi          = {10.1145/3591106.3592230},
  timestamp    = {Thu, 15 Jun 2023 21:56:57 +0200},
  biburl       = {https://dblp.org/rec/conf/mir/TahmasebiHEM23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Requirements

To install requirements:

Dataset

You can download dataset (splits that we used along with extracted CLIP features) here:

• [https://tib.eu/cloud/s/FwfRYC5y9xZKtWF).

To access the whole dataset of VisualNews with its images:

• https://tib.eu/cloud/s/FwfRYC5y9xZKtWF.

To access the whole dataset of MediaEval 2015 and MediaEval 2016 with their images:

• [https://github.com/MKLab-ITI/image-verification-corpus).

Contributing

📋 Our work is licensed under the CC BY 4.0.