Table 2

Results of regression model analysis with Like as dependent variable

Mod1Mod2Mod3Mod4
Lockdown0.2481*** (0.0479)0.1590*** (0.0243)0.2245*** (0.0306)0.1887*** (0.0242)
Post-lockdown0.0795** (0.0300)0.1885*** (0.0159)0.1694*** (0.0196)0.2160*** (0.0161)
3 stars  0.7587*** (0.0197)−0.0414 (0.0505)
Weekend posts  0.0674*** (0.0190)0.0584*** (0.0150)
Morning posts  −0.5433*** (0.0498)−0.0960* (0.0405)
Afternoon posts  −0.4739*** (0.0501)−0.0651 (0.04138)
Evening posts  −0.5283*** (0.0545)−0.0914* (0.0451)
Page likes  0.4931*** (0.0095)0.5585*** (0.0284)
Total posts  −0.3887*** (0.0105)0.1355*** (0.0415)
Words count  −0.0332** (0.0094)−0.0835*** (0.0082)
Hashtags count  −0.0097*** (0.0011)−0.0026* (0.0011)
Contains mention  0.0498** (0.0169)0.0403** (0.0151)
Restaurants EffectNoYesNoYes
Obs5.7175.7175.7175.717
Multiple R-squared0.052399.3360.3699.34
Adjusted R-squared0.048899.3260.2799.34

Note(s): Signif. codes: 0 “***” 0.001 “**” 0.01 “*” 0.05 “.” 0.1 “ ” 1; Mod1: Lockdown and post-lockdown are the independent variables included in the model; Mod2: Lockdown and post-lockdown are the independent variables included in the model with the restaurants effect; Mod3: Lockdown and post-lockdown are the independent variables included in the model with the other variables identified; Mod4: Lockdown and post-lockdown are the independent variables included in the model with other variables identified and restaurants effect

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