Skepticism Detection Dataset

Abstract:

Individuals often encounter persuasion attempts, during which a persuasion agent aims to persuade a target to change the target’s emotions, beliefs, and behaviors. These persuasion attempts can be observed in various social settings, such as advertising, public health, political campaigns, and personal relationships. During these persuasion attempts, targets generally like to preserve their autonomy, so their responses often manifest in some form of resistance, like a skeptical reaction. In order to detect such skepticism in response to persuasion attempts on social media, we developed a corpus based on consumer psychology. 

This dataset focuses on skepticism detection after a persuasion attempt in influencer marketing and sharing it for research purposes.

SkOTAPA Dataset:

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This dataset consists of 9450 comments. Each comment has a distinct label: {0: not skeptical, 1: skeptical}

Citation for SkOTaPA dataset: 

@inproceedings{muthya-sudheendra-etal-2024-skotapa-dataset,

    title = "{S}k{OT}a{PA}: A Dataset for Skepticism Detection in Online Text after Persuasion Attempt",

    author = "Muthya Sudheendra, Smitha  and

      Abdollahi, Maral  and

      Kang, Dongyeop  and

      Huh, Jisu  and

      Srivastava, Jaideep",

    editor = "Calzolari, Nicoletta  and Kan, Min-Yen  and Hoste, Veronique  and Lenci, Alessandro  and Sakti, Sakriani  and Xue, Nianwen",

    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",  

month = may, 

year = "2024", address = "Torino, Italia", publisher = "ELRA and ICCL", url = "https://aclanthology.org/2024.lrec-main.1295", pages = "14871--14876"}