What we can learn from TikTok through its Research API

Autor:	Corso, Francesco, Pierri, Francesco, Morales, Gianmarco De Francisci
Rok vydání:	2024
Předmět:	Computer Science - Computers and Society Computer Science - Social and Information Networks
Druh dokumentu:	Working Paper
Popis:	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. Comment: 11 pages, 8 Figures, submitted to DHOW at WebSci'24
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2402.13855 Zobrazit plný text záznamu View this record from Arxiv