A4 Refereed article in a conference publication

Acquiring, Analyzing, and Understanding Multimodal TikTok Short Video Data: The Case of Online Sex Worker Visibility Management




AuthorsHelenius Teemu

EditorsLouis Cotgrove, Laura Herzberg, Harald Lüngen, Ines Pisetta

Conference nameInternational Conference on CMC and Social Media Corpora for the Humanities

Publishing placeMannheim

Publication year2023

Book title Proceedings of the 10th International Conference on CMC and Social Media Corpora for the Humanities

Series titleProceedings of the International Conference on CMC and Social Media Corpora for the Humanities

Number in series10

First page xii

Last page196

Number of pages196

ISBN978-3-937241-95-1

DOIhttps://doi.org/10.14618/1z5k-pb25

Web address https://doi.org/10.14618/1z5k-pb25

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/380936828


Abstract

This paper introduces some key questions that affect how multimodal short video data on TikTok can be accessed, acquired, and analysed. The accompanying research ethical questions will also be highlighted. The issue of data collection is approached in ter ms of TikTok’s platform features that most readily affect how videos are made visible and available to users: audio centricity of content and its delivery via the For You Page (FYP) recommender algorithm. The specific context of data gathering, and multimodal discourse analysis are connected to the visibility management of sex workers on TikTok as affected by the platform’s content and visibility moderation. The paper presents work in progress approaches to data gathering for building multimodal corpora, mu ltimodal discourse analysis, and research ethics of TikTok videos , Additionally, some early findings of the analysis on online sex worker visibility management on TikTok are presented.



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Last updated on 2024-26-11 at 21:06