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| The Emergence of Collective Intelligence in the Public Opinion Environment during Public Health Emergencies |
| An Ning1, An Lu1,2 |
1.School of Information Management, Wuhan University, Wuhan 430072
2.Center for Studies of Information Resources, Wuhan University, Wuhan 430072 |
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Abstract This research proposes an approach to extract collective intelligence from public opinion during public health emergencies, and reveals the pattern and rule of the emergence of collective intelligence. Taking the topic of herd immunity as an example, we extract the triples contained in microblog posts and comments to structurally represent the public’s knowledge by using the Relation Extraction with Dependency Parsing method. In this study, we explore the pattern and rule of the emergence of collective intelligence based on the triplets of public opinion and network topology. The research results show that the method proposed in this study can extract collective intelligence from public opinion during public health emergencies. Concurrently, we found the heat of public opinion and collective intelligence does not increase in a linear and steady fashion. There are critical phenomena and leaping forward characteristics with the development of emergencies. Public opinion knowledge network is limited and has a scale-free network structure. Collective intelligence mainly concentrates in microblog posts with dynamic properties.
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Received: 02 November 2020
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