GET-Tok: A GenAI-Enriched Multimodal TikTok Dataset Documenting the 2022 Attempted Coup in Peru
<|reference_start|>GET-Tok: A GenAI-Enriched Multimodal TikTok Dataset Documenting the 2022 Attempted Coup in Peru: TikTok is one of the largest and fastest-growing social media sites in the world. TikTok features, however, such as voice transcripts, are often missing and other important features, such as OCR or video descriptions, do not exist. We introduce the Generative AI Enriched TikTok (GET-Tok) data, a pipeline for collecting TikTok videos and enriched data by augmenting the TikTok Research API with generative AI models. As a case study, we collect videos about the attempted coup in Peru initiated by its former President, Pedro Castillo, and its accompanying protests. The data includes information on 43,697 videos published from November 20, 2022 to March 1, 2023 (102 days). Generative AI augments the collected data via transcripts of TikTok videos, text descriptions of what is shown in the videos, what text is displayed within the video, and the stances expressed in the video. Overall, this pipeline will contribute to a better understanding of online discussion in a multimodal setting with applications of Generative AI, especially outlining the utility of this pipeline in non-English-language social media. Our code used to produce the pipeline is in a public Github repository: https://github.com/gabbypinto/GET-Tok-Peru.<|reference_end|>
@article{pinto2024get-tok:,
    title={GET-Tok: A GenAI-Enriched Multimodal TikTok Dataset Documenting the 2022
  Attempted Coup in Peru},
    author={Gabriela Pinto, Keith Burghardt, Kristina Lerman, Emilio Ferrara},
    journal={arXiv preprint arXiv:2402.05882},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.05882},
    primaryClass={cs.SI cs.CY cs.HC}
}