科学的市场化?大规模研究推特机器人在科学传播中的存在和影响

IF 4.3 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Wenceslao Arroyo-Machado, Enrique Herrera-Viedma, Daniel Torres-Salinas
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引用次数: 0

摘要

社交媒体的兴起为科学研究的传播带来了新的动力,其中Twitter (X)发挥了重要作用。这项研究的重点是社交机器人——旨在模仿人类行为和放大内容的自动账户——在科学传播中的作用。通过分析2017年至2021年间发表的370多万篇论文以及它们在推特上的5100万次提及。使用一种新的混合方法,包括BotometerLite和特定的活动参数,并通过鲁棒性检查进行验证,发现0.23%的账户是机器人。尽管数量不多,但这些机器人贡献了4.72%的提及量,这表明它们的存在意义重大,但影响各不相同。机器人在数学、物理和空间科学领域尤其活跃,在某些情况下,它们产生了超过70%的推文。自动帐户不成比例地影响了这些学科研究的可见性和感知影响,这强调了在考虑Twitter在科学传播中的作用时,需要对学科进行具体分析。这项大规模的研究强调了机器人扭曲替代指标的潜力,误导利益相关者的真实参与度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The botization of science? Large-scale study of the presence and impact of Twitter bots in science dissemination

The botization of science? Large-scale study of the presence and impact of Twitter bots in science dissemination

The botization of science? Large-scale study of the presence and impact of Twitter bots in science dissemination

The botization of science? Large-scale study of the presence and impact of Twitter bots in science dissemination

The rise of social media has brought new dynamics to the dissemination of scientific research, with Twitter (X) playing a significant role. This study focuses on the role of social bots—automated accounts designed to mimic human behavior and amplify content—in scientific communication. By analyzing over 3.7 million papers published between 2017 and 2021 and their 51 million Twitter mentions. Using a novel hybrid method that includes BotometerLite and specific activity parameters, with verification via a robustness check, it was found that 0.23% of accounts were bots. Despite their small numbers, these bots contributed to 4.72% of all mentions, indicating a significant presence, but with varied impact. Bots were particularly active in Mathematics, Physics, and Space Sciences, where they generated over 70% of tweets in some cases. Automated accounts disproportionately influence the visibility and perceived impact of research in these disciplines, which underscores the need for discipline-specific analysis when considering Twitter's role in scientific communication. This large-scale study highlights the potential for bots to skew altmetric indicators, misleading stakeholders about true engagement.

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来源期刊
CiteScore
8.30
自引率
8.60%
发文量
115
期刊介绍: The Journal of the Association for Information Science and Technology (JASIST) is a leading international forum for peer-reviewed research in information science. For more than half a century, JASIST has provided intellectual leadership by publishing original research that focuses on the production, discovery, recording, storage, representation, retrieval, presentation, manipulation, dissemination, use, and evaluation of information and on the tools and techniques associated with these processes. The Journal welcomes rigorous work of an empirical, experimental, ethnographic, conceptual, historical, socio-technical, policy-analytic, or critical-theoretical nature. JASIST also commissions in-depth review articles (“Advances in Information Science”) and reviews of print and other media.
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