Semantic Scholar Open Access 2020 222 sitasi

Dancing to the Partisan Beat: A First Analysis of Political Communication on TikTok

J. M. Serrano Orestis Papakyriakopoulos Simon Hegelich

Abstrak

TikTok is a video-sharing social networking service, whose popularity is increasing rapidly. It was the world’s second-most downloaded app in 2019. Although the platform is known for having users posting videos of themselves dancing, lip-syncing, or showcasing other talents, user-videos expressing political views have seen a recent spurt. This study aims to perform a primary evaluation of political communication on TikTok. We collect a set of US partisan Republican and Democratic videos to investigate how users communicated with each other about political issues. With the help of computer vision, natural language processing, and statistical tools, we illustrate that political communication on TikTok is much more interactive in comparison to other social media platforms, with users combining multiple information channels to spread their messages. We show that political communication takes place in the form of communication trees since users generate branches of responses to existing content. In terms of user demographics, we find that users belonging to both the US parties are young and behave similarly on the platform. However, Republican users generated more political content and their videos received more responses; on the other hand, Democratic users engaged significantly more in cross-partisan discussions.

Penulis (3)

J

J. M. Serrano

O

Orestis Papakyriakopoulos

S

Simon Hegelich

Format Sitasi

Serrano, J.M., Papakyriakopoulos, O., Hegelich, S. (2020). Dancing to the Partisan Beat: A First Analysis of Political Communication on TikTok. https://doi.org/10.1145/3394231.3397916

Akses Cepat

Lihat di Sumber doi.org/10.1145/3394231.3397916
Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Total Sitasi
222×
Sumber Database
Semantic Scholar
DOI
10.1145/3394231.3397916
Akses
Open Access ✓