[Purpose/significance] Using COVID-19 online public opinion data to study the relationship between netizen attention, mood swings and mainstream media discourse guidance can provide a new perspective for online public opinion governance and media publicity in emergencies. [Method/process] Using "knowing the little things and seeing" to determine five groups of events with the highest social impact of domestic epidemic in the first half of 2020, the Scrap-Redis crawler framework based on Python language, the SnowNLP sentiment analysis model and the TF-IDF algorithm were used to sentiment analyze on more than 40,000 popular user comments reported by the People’s Daily, Xinhua Viewpoint, and Guangming.com’s three new media for government affairs related microblogs after the occurrence of these five groups of events, then sentiment statistics and visualization were performed for these five groups of events according to the dates and related topics. [Result/conclusion] The analysis shows that mainstream media reports play a positive role in relieving netizens’ emotions. By using discourse guidance strategies with playing the leading role of opinion leaders, actively responding to false information, tracking and reporting social hot spots, mainstream media can effectively calm the panic and dissatisfaction of Internet users, and guide the focus of public information to return to rationality. By improving the information response ability of mainstream media, seizing the discourse power of information reports, and enhancing the collaborative response ability of online public opinion, government departments build a systematic and comprehensive digital governance pattern of public emergencies, and accelerate the construction of a public opinion guidance work mechanism that adheres to the correct orientation.
Zhang Dong
,
Wei Junbin
. Emotion-Driven Data Analysis of Mainstream Media Epidemic Information and Discourse Guidance Strategies[J]. Library and Information Service, 2021
, 65(14)
: 101
-108
.
DOI: 10.13266/j.issn.0252-3116.2021.14.012
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