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Table 5 Robustness test of the divided samples

From: Promote citizen engagement with warnings ― an empirical examination of government social media accounts during public health crises

Variables

Emerging infectious diseases

Reemerging infectious diseases

M1

M2

M1

M2

Time of post

-0.203***(-4.372)

-0.193***(-4.167)

-0.198***(-4.158)

-0.184***(-3.986)

Time interval

0.281**(5.629)

0.254***(4.954)

0.264**(5.084)

0.213***(4.732)

Sentiment tendency (ST)

 

0.179**(2.387)

 

0.162**(2.105)

Warning elements (WE)

 

0.312***(6.570)

 

0.348***(7.458)

Message length (ML)

 

0.243**(2.411)

 

0.263***(4.523)

Message length2(ML2)

 

-0.198**(-2.432)

 

-0.204***(-2.976)

Dialogic loop (DL)

 

-0.047(-0.768)

 

-0.052(-0.856)

Media richness (MR)

 

0.272**(3.443)

 

0.258**(2.294)

Style variety (SV)

 

0.395***(11.254)

 

0.372***(10.123)

Source influence (SC)

 

0.345***(9.127)

 

0.324***(8.042)

Source activeness (SA)

 

0.247***(4.926)

 

0.253***(5.012)

F

24.155

30.467

25.342

33.619

R2

0.102

0.265

0.137

0.274

AdjR2

0.091

0.243

0.121

0.258

N

670

670

1455

1455

  1. t statistics in parentheses. *P < 0.10, **P < 0.05, ***P < 0.01