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Identifying critical outbreak time window of controversial events based on sentiment analysis
Mingyang Wang1, Huan Wu1, Tianyu Zhang1
1College of Information and Computer Engineering, Northeast Forestry University, Harbin, People's Republic of China.
Plos One
|October 29, 2020
Summary
This study identifies critical public opinion outbreak times for controversial events by analyzing netizen emotions on microblogs. This helps authorities manage escalating situations by understanding public sentiment shifts.
Area of Science:
- Social Media Analysis
- Public Opinion Dynamics
- Event Management
Background:
- Netizen responses to controversial events significantly influence their development.
- Understanding public opinion is crucial for event management and mitigation.
Purpose of the Study:
- To determine the critical outbreak time window of controversial events.
- To capture and analyze the subtle emotions of netizens towards events.
- To provide authorities with tools for preventing event escalation.
Main Methods:
- Multi-emotional analysis of microblog texts to categorize netizen emotions into seven types.
- Development of an emotional coverage index to quantify emotional impact intensity.
- Detection of mutation characteristics in mainstream emotion impact intensity.
Main Results:
- The proposed method effectively identifies the critical outbreak time window of controversial events.
- Analysis captured subtle public opinion shifts through multi-emotional categorization.
- The emotional coverage index accurately reflected the intensity of emotional impact.
Conclusions:
- Identifying critical public opinion windows is vital for managing controversial events.
- The developed method offers a novel approach to understanding and predicting event escalation.
- This research aids authorities in proactive event management and de-escalation strategies.
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