China Public Psychology Analysis About COVID-19 Under Considering Sina Weibo Data
Copyright © 2021 Pan, Wang, Dai, Huang, Hu, Pan and Liao..
COVID-19 not only poses a huge threat to public health, but also affects people's mental health. Take scientific and effective psychological crisis intervention to prevent large-scale negative emotional contagion is an important task for epidemic prevention and control. This paper established a sentiment classification model to make sentiment annotation (positive and negative) about the 105,536 epidemic comments in 86 days on the official Weibo of People's Daily, the test results showed that the accuracy of the model reached 88%, and the AUC value was greater than 0.9. Based on the marked data set, we explored the potential law between the changes in Internet public opinion and epidemic situation in China. First of all, we found that most of the Weibo users showed positive emotions, and the negative emotions were mainly caused by the fear and concern about the epidemic itself and the doubts about the work of the government. Secondly, there is a strong correlation between the changes of epidemic situation and people's emotion. Also, we divided the epidemic into three period. The proportion of people's negative emotions showed a similar trend with the number of newly confirmed cases in the growth and decay period, and the extinction period. In addition, we also found that women have more positive emotional performance than men, and the high-impact groups is also more positive than the low-impact groups. We hope that these conclusions can help China and other countries experiencing severe epidemics to guide publics respond.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2021 |
|---|---|
| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:12 |
|---|---|
| Enthalten in: |
Frontiers in psychology - 12(2021) vom: 28., Seite 713597 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Pan, Wei [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
COVID-19 |
|---|
| Anmerkungen: |
Date Revised 29.09.2021 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
|---|
| doi: |
10.3389/fpsyg.2021.713597 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM331084368 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM331084368 | ||
| 003 | DE-627 | ||
| 005 | 20231225212704.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231225s2021 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.3389/fpsyg.2021.713597 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1103.xml |
| 035 | |a (DE-627)NLM331084368 | ||
| 035 | |a (NLM)34566790 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Pan, Wei |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a China Public Psychology Analysis About COVID-19 Under Considering Sina Weibo Data |
| 264 | 1 | |c 2021 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Revised 29.09.2021 | ||
| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a Copyright © 2021 Pan, Wang, Dai, Huang, Hu, Pan and Liao. | ||
| 520 | |a COVID-19 not only poses a huge threat to public health, but also affects people's mental health. Take scientific and effective psychological crisis intervention to prevent large-scale negative emotional contagion is an important task for epidemic prevention and control. This paper established a sentiment classification model to make sentiment annotation (positive and negative) about the 105,536 epidemic comments in 86 days on the official Weibo of People's Daily, the test results showed that the accuracy of the model reached 88%, and the AUC value was greater than 0.9. Based on the marked data set, we explored the potential law between the changes in Internet public opinion and epidemic situation in China. First of all, we found that most of the Weibo users showed positive emotions, and the negative emotions were mainly caused by the fear and concern about the epidemic itself and the doubts about the work of the government. Secondly, there is a strong correlation between the changes of epidemic situation and people's emotion. Also, we divided the epidemic into three period. The proportion of people's negative emotions showed a similar trend with the number of newly confirmed cases in the growth and decay period, and the extinction period. In addition, we also found that women have more positive emotional performance than men, and the high-impact groups is also more positive than the low-impact groups. We hope that these conclusions can help China and other countries experiencing severe epidemics to guide publics respond | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a China | |
| 650 | 4 | |a Sina Weibo data | |
| 650 | 4 | |a public psychology | |
| 650 | 4 | |a sentiment classification model | |
| 700 | 1 | |a Wang, Ren-Jie |e verfasserin |4 aut | |
| 700 | 1 | |a Dai, Wan-Qiang |e verfasserin |4 aut | |
| 700 | 1 | |a Huang, Ge |e verfasserin |4 aut | |
| 700 | 1 | |a Hu, Cheng |e verfasserin |4 aut | |
| 700 | 1 | |a Pan, Wu-Lin |e verfasserin |4 aut | |
| 700 | 1 | |a Liao, Shu-Jie |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Frontiers in psychology |d 2010 |g 12(2021) vom: 28., Seite 713597 |w (DE-627)NLM205532713 |x 1664-1078 |7 nnns |
| 773 | 1 | 8 | |g volume:12 |g year:2021 |g day:28 |g pages:713597 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.3389/fpsyg.2021.713597 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 12 |j 2021 |b 28 |h 713597 | ||