SACRED: A Faithful Annotated Multimedia Multimodal Multilingual Dataset for Classifying Connectedness Types in Online Spirituality
Qinghao Guan, Yuchen Pan, Donghao Li, Zishi Zhang, Yiyang Chen, Lu Li, Flaminia Canu, Emilia Volkart, Gerold Schneider
Abstract
In religion and theology studies, spirituality has garnered significant research attention for the reason that it not only transcends culture but offers unique experience to each individual. However, social scientists often rely on limited datasets, which are basically unavailable online. In this study, we collaborated with social scientists to develop a high-quality multimedia multi-modal datasets, SACRED, in which the faithfulness of classification is guaranteed. Using SACRED, we evaluated the performance of 13 popular LLMs as well as traditional rule-based and fine-tuned approaches. The result suggests DeepSeek-V3 model performs well in classifying such abstract concepts (i.e., 79.19% accuracy in the Quora test set), and the GPT-4o-mini model surpassed the other models in the vision tasks (63.99% F1 score). Purportedly, this is the first annotated multi-modal dataset from online spirituality communication. Our study also found a new type of connectedness which is valuable for communication science studies.- Anthology ID:
- 2026.llms4ssh-1.13
- Volume:
- Proceedings of Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities (LLMs4SSH) @ LREC 2026
- Month:
- May
- Year:
- 2026
- Address:
- Palma de Mallorca (Spain)
- Editors:
- Arturo Montejo-Raez, Cristina Grisot, Joanna Blochowiak, Nikola Ljubešić, Elena Battaner, German Rigau
- Venues:
- LLMs4SSH | WS
- SIG:
- Publisher:
- ELRA Language Resources Association (ELRA)
- Note:
- Pages:
- 126–138
- Language:
- External URL:
- https://lrec.elra.info/lrec2026-ws-llms4ssh-13
- DOI:
- 10.63317/5h8po3qfcqa9
- Cite (ACL):
- Qinghao Guan, Yuchen Pan, Donghao Li, Zishi Zhang, Yiyang Chen, Lu Li, Flaminia Canu, Emilia Volkart, and Gerold Schneider. 2026. SACRED: A Faithful Annotated Multimedia Multimodal Multilingual Dataset for Classifying Connectedness Types in Online Spirituality. In Proceedings of Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities (LLMs4SSH) @ LREC 2026, pages 126–138, Palma de Mallorca (Spain). ELRA Language Resources Association (ELRA).
- Cite (Informal):
- SACRED: A Faithful Annotated Multimedia Multimodal Multilingual Dataset for Classifying Connectedness Types in Online Spirituality (Guan et al., LLMs4SSH 2026)