Id |
Subject |
Object |
Predicate |
Lexical cue |
T103 |
0-274 |
Sentence |
denotes |
People showed more negative emotions (anxiety, depression, and indignation) and less positive emotions (Oxford happiness) after the declaration of COVID-19, which was supported by the theory of BIS, i.e., people did generate more negative emotions for self-protection [3,4]. |
T104 |
275-510 |
Sentence |
denotes |
These results are consistent to previous studies as well, which found that public health emergencies (e.g., SARS) triggered a series of stress emotional response containing a higher level of anxiety and other negative emotions [32,33]. |
T105 |
511-846 |
Sentence |
denotes |
Meanwhile, the confirmation that COVID-19 could be passed from person to person on 20 January, which was inconsistent with previous reports, lead to quite a number of people being unsatisfied with misinformation published from provincial governments (e.g., Hubei) and ineffective regulatory actions, causing an increase in indignation. |
T106 |
847-1002 |
Sentence |
denotes |
However, it’s worth noting that the word frequency of positive emotions increased after 20 January, which seemed to be inconsistent with the theory of BIS. |
T107 |
1003-1179 |
Sentence |
denotes |
In fact, positive emotion includes words such as faith and blessing, which are more inclined to reflect group cohesiveness rather than pure personal emotions (e.g., happiness). |
T108 |
1180-1412 |
Sentence |
denotes |
Researchers found that group threats (e.g., natural disasters and epidemic diseases) made groups a community of interests, resulting in more beneficial behaviors and social solidarity, which indicated higher group cohesiveness [34]. |
T109 |
1413-1577 |
Sentence |
denotes |
For example, lots of provinces (e.g., Sichuan Province, Shandong Province, etc.) formed medical teams to help the Hubei province, which was the worst affected area. |
T110 |
1578-1671 |
Sentence |
denotes |
Many people donated money and supplies to Hubei Red Cross to support the control of COVID-19. |