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Footprints of Fascination: Digital Traces of Public Engagement with Particle Physics on CERNs Social Media Platforms

机译:着迷的足迹:CERN社交媒体平台上与粒子物理的公众互动的数字化痕迹

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摘要

Although the scientific community increasingly recognizes that its communication with the public may shape civic engagement with science, few studies have characterized how this communication occurs online. Social media plays a growing role in this engagement, yet it is not known if or how different platforms support different types of engagement. This study sets out to explore how users engage with science communication items on different platforms of social media, and what are the characteristics of the items that tend to attract large numbers of user interactions. Here, user interactions with almost identical items on five of CERN's social media platforms were quantitatively compared over an eight-week period, including likes, comments, shares, click-throughs, and time spent on CERN's site. The most popular items were qualitatively analyzed for content features. Findings indicate that as audience size of a social media platform grows, the total rate of engagement with content tends to grow as well. However, per user, engagement tends to decline with audience size. Across all platforms, similar topics tend to consistently receive high engagement. In particular, awe-inspiring imagery tends to frequently attract high engagement across platforms, independent of newsworthiness. To our knowledge, this study provides the first cross-platform characterization of public engagement with science on social media. Findings, although focused on particle physics, have a multidisciplinary nature; they may serve to benchmark social media analytics for assessing science communication activities in various domains. Evidence-based suggestions for practitioners are also offered.
机译:尽管科学界越来越意识到与公众的交流可能会影响公民对科学的参与,但很少有研究描述这种交流是如何在线发生的。社交媒体在这种参与中扮演着越来越重要的角色,但尚不清楚不同平台是否或如何支持不同类型的参与。这项研究着手探讨用户如何在社交媒体的不同平台上与科学交流项目互动,以及倾向于吸引大量用户互动的项目特征是什么。在这里,在八周的时间内,定量比较了CERN五个社交媒体平台上与几乎相同项目的用户交互,包括喜欢,评论,分享,点击和在CERN网站上花费的时间。对最受欢迎的项目进行了内容特征定性分析。结果表明,随着社交媒体平台的受众规模的增长,与内容互动的总速率也趋于增长。但是,对于每个用户,参与度往往会随着受众规模的增加而下降。在所有平台上,相似的主题往往会得到一致好评。特别是,令人敬畏的图像往往会频繁吸引跨平台的高参与度,而与新闻价值无关。据我们所知,本研究首次提供了社交媒体上公众参与科学的跨平台表征。研究结果虽然专注于粒子物理学,但具有多学科性质。它们可用于基准化社交媒体分析,以评估各个领域的科学传播活动。还为从业者提供了循证建议。

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