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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.20990 |
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| _version_ | 1866914218551279616 |
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| author | Husnic, Dino Cobeli, Stefan Yadav, Shweta |
| author_facet | Husnic, Dino Cobeli, Stefan Yadav, Shweta |
| contents | The COVID-19 pandemic has created many problems, especially in people's social lives. There has been increasing isolation and economic hardships since the beginning of the pandemic for people all over the world. Quarantines and lockdowns also took part in that, and so, people have been expressing their emotions throughout the pandemic period using social media platforms like Reddit, Twitter, Facebook, etc. In this study, we seek to analyze the emotions and mental health labels throughout the time period of March 2, 2020, up until July 4, 2020, from the threads and comments gathered from the r/unitedkingdom subreddit. We used a soft labeling technique to generate mental health conditions for each Reddit comment. We compared the overall results with important dates related to COVID-19 policies that took place in the United Kingdom. This can give us a view on how the pandemic and the important dates affect people self disclosing their emotions on social media platforms. Finally, we have developed a proof of concept to show that using mental health features may increase emotion prediction accuracy. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_20990 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Mental Health Self-Disclosure on Social Media throughout the Pandemic Period Husnic, Dino Cobeli, Stefan Yadav, Shweta Social and Information Networks The COVID-19 pandemic has created many problems, especially in people's social lives. There has been increasing isolation and economic hardships since the beginning of the pandemic for people all over the world. Quarantines and lockdowns also took part in that, and so, people have been expressing their emotions throughout the pandemic period using social media platforms like Reddit, Twitter, Facebook, etc. In this study, we seek to analyze the emotions and mental health labels throughout the time period of March 2, 2020, up until July 4, 2020, from the threads and comments gathered from the r/unitedkingdom subreddit. We used a soft labeling technique to generate mental health conditions for each Reddit comment. We compared the overall results with important dates related to COVID-19 policies that took place in the United Kingdom. This can give us a view on how the pandemic and the important dates affect people self disclosing their emotions on social media platforms. Finally, we have developed a proof of concept to show that using mental health features may increase emotion prediction accuracy. |
| title | Mental Health Self-Disclosure on Social Media throughout the Pandemic Period |
| topic | Social and Information Networks |
| url | https://arxiv.org/abs/2512.20990 |