抖音在2022年巴西总统大选中的使用和影响

Juliana Lima, M. Santana, A. Corrêa, K. Brito
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摘要

社会媒体(SM)平台在当代政治和民主中的使用已经得到了很好的研究,尤其是Twitter的使用。然而,社交媒体的场景是不断变化的,新的平台不断出现。2016年推出的TikTok就是一个例子,它已经是全球第六大最受欢迎的平台,在巴西排名第四。因此,由于它的普及以及政治家和选举候选人已经开始使用它,因此非常需要了解它的使用和影响。在此背景下,本研究旨在分析2022年巴西总统选举的主要候选人如何使用他们的官方资料,公民如何参与候选人的帖子,以及候选人的表现与收到的选票之间可能存在的相关性。为此,我们收集了2022年6月至第2轮投票当天(10月30日)候选人分享的所有帖子并进行了分析。因此,我们分析了576条帖子和超过5.4亿次互动,我们的研究结果表明:(i)候选人使用TikTok的方式与他们在2018年选举中使用Facebook、Twitter和Instagram的方式相似;观察到所观察的候选人所作职位的质量和内容有很大差异;(iii)尽管追随者较少,但当选总统获得了总互动的55%;(iv)在第一轮中,当选候选人获得的点赞数的份额正好是在选举中获得的选票份额,尽管在第二轮中没有重复这种情况。由于这个平台是最近才出现的,而且缺乏一个广泛开放的官方API来收集数据,我们认为这是对巴西总统选举候选人在TikTok上发布的所有帖子进行分析的首批研究之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The use and impact of TikTok in the 2022 Brazilian presidential election
The use of social media (SM) platforms in contemporary politics and democracies has been well researched, most particularly the use of Twitter. However, the social media scenario is constantly changing and new platforms frequently appear. This is the case of TikTok, launched in 2016, and already the sixth most popular platform worldwide, and the fourth most used in Brazil. Thus, due to its popularization and the fact that politicians and election candidates have begun to use it, there is a strong need to understand its use and impacts. Within this context, the present study aims to analyze how the main candidates running in the 2022 Brazilian presidential election used their official profiles, how citizens engaged with the candidates’ posts, and the possible correlations between a candidate’s performance and the votes received. For this, we collected and analyzed all the posts shared by candidates between June and October 30, 2022, the day of the second round. As a result, 576 posts and more than 540 million interactions were analyzed, and our findings show that: (i) candidates used TikTok in a similar manner to how they used Facebook, Twitter and Instagram in the 2018 elections; (ii) strong differences were observed regarding the quality and content of posts made by the observed candidates; (iii) despite having fewer followers, the elected president received 55% of the total interactions; and (iv) for the first round, the share of the number of likes received by the elected candidate was exactly the vote share received in the elections, although this was not repeated in the second round. Due to the recency of this platform and the lack of a broadly open official API for collecting data from this, we believe that this is one of the first studies regarding the analysis of all posts made on TikTok by candidates in a Brazilian presidential election.
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