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Building Social Media Observatories for Monitoring Online Opinion Dynamics

机译：建立社交媒体观测者监测在线观察动态

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Social media house a trove of relevant information for the study of online opinion dynamics. However, harvesting and analyzing the sheer overload of data that is produced by these media poses immense challenges to journalists, researchers, activists, policy makers, and concerned citizens. To mitigate this situation, this article discusses the creation of (social) media observatories: platforms that enable users to capture the complexities of social behavior, in particular the alignment and misalignment of opinions, through computational analyses of digital media data. The article positions the concept of “observatories” for social media monitoring among ongoing methodological developments in the computational social sciences and humanities and proceeds to discuss the technological innovations and design choices behind social media observatories currently under development for the study of opinions related to cultural and societal issues in European spaces. Notable attention is devoted to the construction of Penelope: an open, web-services-based infrastructure that allows different user groups to consult and contribute digital tools and observatories that suit their analytical needs. The potential and the limitations of this approach are discussed on the basis of a climate change opinion observatory that implements text analysis tools to study opinion dynamics concerning themes such as global warming. Throughout, the article explicitly acknowledges and addresses potential risks of the machine-guided and human-incentivized study of opinion dynamics. Concluding remarks are devoted to a synthesis of the ethical and epistemological implications of the exercise of positioning observatories in contemporary information spaces and to an examination of future pathways for the development of social media observatories.
机译：社交媒体大楼是关于在线观点动态研究的相关信息。然而，收获和分析这些媒体产生的数据的纯粹过载，对记者，研究人员，活动家，政策制定者和有关公民带来了巨大的挑战。为了缓解这种情况，本文讨论了（社会）媒体观察计划的创建：使用户能够通过数字媒体数据的计算分析来捕捉社会行为的复杂性，特别是对意见的对齐和未对准的平台。该文章占据了“观察者”的概念，为社会科学和人文学科的正在进行的方法发展中，并继续讨论目前正在开发的社会媒体观察员背后的技术创新和设计选择，以便研究与文化有关的意见。欧洲空间的社会问题。值得注意的注意力致力于佩内洛普的建设：一个开放式的基于网络服务的基础设施，允许不同的用户组咨询和贡献适合其分析需求的数字工具和观察者。根据气候变化意见观察教学讨论了这种方法的潜力和局限，该观点是实施文本分析工具，以研究全球变暖等主题的观点动态。本文在整个中明确承认并解决了对舆论动态的机器导向和人类激励研究的潜在风险。结论备注致力于综合行使当代信息空间中定位观察员的道德和认识论的综合，并考察未来的社会媒体观察员的发展。

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