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No Outstanding Surprises when Using Social Media as Source for Weak Signals? First Attempt to Discuss the Impact of Social Media Sources to Detect Surprising Weak Signals

机译:使用社交媒体作为弱信号的来源时没有出色的惊喜?首先尝试讨论社交媒体来源的影响来检测惊人的弱信号

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Enterprises as well as research institutions are interested to find very early signs for future trends, disruptions or other emerging big changes. Such "weak signals" may also be detected within user-generated social media content. Information technologies support searching, analyzing and interpreting social media data. According to our experiences with an approach called "innovation signals", none of our detected weak signals was an outstanding surprise for our industry partners. Within this paper, we try to validate these experiences with a look into weak signals theory, and whether similar experiences can be found in the extant literature. While we were not able to find conclusive evidence that our conclusions are common (or that they are not), we present a set of possible explanations of this phenomenon. Our paper has to be seen as a first discussion of the topic, which should be a first step to validate researchers' experiences and to initiate a potentially controversial discourse about it.
机译:企业以及研究机构有兴趣找到未来趋势,中断或其他新发生的早期迹象。也可以在用户生成的社交媒体内容中检测这种“弱信号”。信息技术支持搜索,分析和解释社交媒体数据。根据我们对呼吁“创新信号”的方法的经验,我们未检测到的弱势信号都是我们的行业合作伙伴的突出惊喜。在本文中,我们试图通过调查弱信号理论,以及是否可以在现存文学中找到类似的经验。虽然我们无法找到所以我们的结论是常见的(或者他们不是),但我们提出了一系列可能对此现象的解释。我们的论文必须被视为对该主题的第一次讨论,这应该是验证研究人员经验的第一步,并启动有关它的可能争议的话语。

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