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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2026
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2601.11819 |
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| _version_ | 1866908772755046400 |
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| author | Bandela, Shirlene Rose Parthasarathy, Sanjeev Garg, Vaibhav |
| author_facet | Bandela, Shirlene Rose Parthasarathy, Sanjeev Garg, Vaibhav |
| contents | Warning: This paper may contain examples and topics that may be disturbing to some readers, especially survivors of miscarriage and sexual violence. People affected by abortion, miscarriage, or sexual violence often share their experiences on social media to express emotions and seek support. On public platforms like Reddit, where users can post long, detailed narratives (up to 40,000 characters), readers may be exposed to distressing content. Although Reddit allows manual trigger warnings, many users omit them due to limited awareness or uncertainty about which categories apply. There is scarcity of datasets on Reddit stories labeled for triggering experiences. We propose a curated Reddit dataset, TWeddit, covering triggering experiences related to issues majorly faced by women. Our linguistic analyses show that annotated stories in TWeddit express distinct topics and moral foundations, making the dataset useful for a wide range of future research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_11819 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | TWeddit : A Dataset of Triggering Stories Predominantly Shared by Women on Reddit Bandela, Shirlene Rose Parthasarathy, Sanjeev Garg, Vaibhav Computation and Language Warning: This paper may contain examples and topics that may be disturbing to some readers, especially survivors of miscarriage and sexual violence. People affected by abortion, miscarriage, or sexual violence often share their experiences on social media to express emotions and seek support. On public platforms like Reddit, where users can post long, detailed narratives (up to 40,000 characters), readers may be exposed to distressing content. Although Reddit allows manual trigger warnings, many users omit them due to limited awareness or uncertainty about which categories apply. There is scarcity of datasets on Reddit stories labeled for triggering experiences. We propose a curated Reddit dataset, TWeddit, covering triggering experiences related to issues majorly faced by women. Our linguistic analyses show that annotated stories in TWeddit express distinct topics and moral foundations, making the dataset useful for a wide range of future research. |
| title | TWeddit : A Dataset of Triggering Stories Predominantly Shared by Women on Reddit |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2601.11819 |