What we can learn from TikTok through its Research API
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866914740462157824 |
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| author | Corso, Francesco Pierri, Francesco Morales, Gianmarco De Francisci |
| author_facet | Corso, Francesco Pierri, Francesco Morales, Gianmarco De Francisci |
| contents | TikTok is a social media platform that has gained immense popularity over the last few years, particularly among younger demographics, due to the viral trends and challenges shared worldwide. The recent release of a free Research API opens the door to collecting data on posted videos, associated comments, and user activities. Our study focuses on evaluating the reliability of the results returned by the Research API, by collecting and analyzing a random sample of TikTok videos posted in a span of 6 years. Our preliminary results are instrumental for future research that aims to study the platform, highlighting caveats on the geographical distribution of videos and on the global prevalence of viral and conspiratorial hashtags. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_13855 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | What we can learn from TikTok through its Research API Corso, Francesco Pierri, Francesco Morales, Gianmarco De Francisci Computers and Society Social and Information Networks TikTok is a social media platform that has gained immense popularity over the last few years, particularly among younger demographics, due to the viral trends and challenges shared worldwide. The recent release of a free Research API opens the door to collecting data on posted videos, associated comments, and user activities. Our study focuses on evaluating the reliability of the results returned by the Research API, by collecting and analyzing a random sample of TikTok videos posted in a span of 6 years. Our preliminary results are instrumental for future research that aims to study the platform, highlighting caveats on the geographical distribution of videos and on the global prevalence of viral and conspiratorial hashtags. |
| title | What we can learn from TikTok through its Research API |
| topic | Computers and Society Social and Information Networks |
| url | https://arxiv.org/abs/2402.13855 |