Deflating the Chinese balloon: types of Twitter bots in US-China balloon incident

IF 3 2区 计算机科学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS EPJ Data Science Pub Date : 2023-12-19 DOI:10.1140/epjds/s13688-023-00440-3
Lynnette Hui Xian Ng, Kathleen M. Carley
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Abstract

As digitalization increases, countries employ digital diplomacy, harnessing digital resources to project their desired image. Digital diplomacy also encompasses the interactivity of digital platforms, providing a trove of public opinion that diplomatic agents can collect. Social media bots actively participate in political events through influencing political communication and purporting coordinated narratives to influence human behavior. This article provides a methodology towards identifying three types of bots: General Bots, News Bots and Bridging Bots, then further identify these classes of bots on Twitter during a diplomatic incident involving the United States and China. In the balloon incident that occurred in early 2023, where a balloon believed to have originated from China is spotted across the US airspace. Both countries have differing opinions on the function and eventual handling of the balloon. Using a series of computational methods, this article examines the impact of bots on the topics disseminated, the influence and the use of information maneuvers of bots within the social communication network. Among others, our results observe that all three types of bots are present across the two countries; bots geotagged to the US are generally concerned with the balloon location while those geotagged to China discussed topics related to escalating tensions; and perform different extent of positive narrative and network information maneuvers. The broader implications of our work towards policy making is the systematic identification of the type of bot users and their properties across country lines, enabling the evaluation of how automated agents are being deployed to disseminate narratives and the nature of narratives propagated, and therefore reflects the image that the country is being projected as on social media; as well as the perception of political issues by social media users.

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让中国气球 "泄气":中美气球事件中的推特机器人类型
随着数字化程度的提高,各国纷纷采用数字外交,利用数字资源来塑造其理想形象。数字外交还包括数字平台的互动性,为外交人员收集民意提供了宝库。社交媒体机器人通过影响政治传播和声称协调叙事来影响人类行为,从而积极参与政治事件。本文提供了一种识别三类机器人的方法:一般机器人、新闻机器人和桥接机器人,然后在涉及美国和中国的外交事件中进一步识别推特上的这几类机器人。在 2023 年初发生的气球事件中,美国领空发现了一个据信来自中国的气球。两国对气球的功能和最终处理方式存在不同意见。本文利用一系列计算方法,研究了机器人对社交传播网络中传播话题的影响、机器人的影响力和信息操纵的使用。其中,我们的研究结果表明,所有三种类型的机器人都存在于中美两国之间;地理标记为美国的机器人普遍关注气球的位置,而地理标记为中国的机器人则讨论与紧张局势升级相关的话题;并且在不同程度上进行了积极的叙事和网络信息操作。我们的工作对政策制定的更广泛影响是系统地识别不同国家的机器人用户类型及其属性,从而能够评估如何部署自动代理来传播叙事和所传播叙事的性质,并因此反映出该国在社交媒体上的形象;以及社交媒体用户对政治问题的看法。
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来源期刊
EPJ Data Science
EPJ Data Science MATHEMATICS, INTERDISCIPLINARY APPLICATIONS -
CiteScore
6.10
自引率
5.60%
发文量
53
审稿时长
13 weeks
期刊介绍: EPJ Data Science covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises those research lines that now regard the digital “tracks” of human beings as first-order objects for scientific investigation. Topics include, but are not limited to, human behavior, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting up to and including policy advice.
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