推特(Now 𝕏)放大器在 2019 年欧洲大选中的应用

Thomai Voulgari, Alexandros K. Angelidis, Charalambos Bratsas, Rigas Kotsakis, A. Veglis, Antonis Skamnakis
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引用次数: 0

摘要

本研究旨在调查推特(现称为 "X")在竞选期间如何使用放大器(由机器人软件控制的自动账户)。具体来说,主要目的是确定推特放大器在 2019 年欧洲大选中的作用和参与度、政党和领导人的能见度,以及自动化工具如何被用来通过影响投票决定来操纵舆论。本研究考虑的国家包括两个西欧经济强国--法国和德国,以及两个受经济和金融危机影响的南欧国家--希腊和意大利。之所以将南欧国家纳入样本,是因为这些国家经常被大众媒体用作政治竞选工具。本文强调 Twitter 平台,通过该社交网络工具的官方 API 实施数据收集,重点关注 2019 年欧洲大选。我们收集了 2019 年 5 月 10 日至 5 月 30 日期间 88 位政党领袖和欧洲议会议员候选人的数据,以及转发他们的 44651 个账户的数据。我们使用 237813 条与选举相关的推文得出结论,并使用网络理论对数据进行分析和可视化。结果表明,所有政党都使用放大器来推广他们的推文,有些政党在不同国家使用相同的放大器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Usage of Twitter (Now 𝕏) Amplifiers in the European Elections of 2019
The aim of this study is to investigate how amplifiers (automated accounts controlled by bot software) are used in Twitter (now called “X”) during election campaigns. Specifically, the main purpose is to identify the role and engagement of Twitter amplifiers in the 2019 European elections, the visibility of political parties and leaders, and the way in which automated tools are used to manipulate public opinion by influencing voting decisions. The countries considered in the study are two economic powers of Western Europe, France and Germany, as well as two countries of the European South, which are affected by the economic and financial crisis, Greece and Italy. The countries from Southern Europe were included in the sample as they are often used by mass media as political campaign tools. This paper emphasizes the Twitter platform through which the data collection was implemented using the official API of the social networking tool, focusing on the 2019 European elections. We collected data on 88 party leaders and MEP candidates between 10 May and 30 May 2019, as well as on 44,651 accounts that retweeted them. We concluded using 237,813 election-related tweets and used network theory to analyze and visualize the data. The results demonstrate that all political parties use amplifiers to promote their tweets, and some use the same amplifiers between different countries.
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CiteScore
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