From: On the development of an information system for monitoring user opinion and its role for the public
Resource set | News portals, Vkontakte, Facebook, Instagram, Youtube | Vkontakte, Facebook, Instagram, Youtube | |||||
Search period: | from “07/01/2021” to “08/12/2021” | ||||||
Location: | Cities of Almaty and Nur-Sultan | Large regional cities of Kazakhstan | |||||
Number of results (texts + comments) | ~ 2133 | ~ 157 | |||||
Number of texts | ~ 1285 | ~ 69 | |||||
Number of comments | ~ 848 | ~ 88 | |||||
The level of social mood by results | Positive | 1029 | Positive | 52 | |||
Negative | 955 | Negative | 58 | ||||
Neutral | 80 | Neutral | 10 | ||||
Undefined | 69 | Undefined | 37 | ||||
The level of social mood by texts | Positive | 739 | Positive | 21 | |||
Negative | 544 | Negative | 18 | ||||
Neutral | 1 | Neutral | 5 | ||||
Undefined | 1 | Undefined | 25 | ||||
The level of social mood by comments | Positive | 290 | Positive | 31 | |||
Negative | 411 | Negative | 40 | ||||
Neutral | 79 | Neutral | 5 | ||||
Undefined | 68 | Undefined | 12 | ||||
The level of topic discussion activity in society | ~ 0.01% | ~ 0.03% | |||||
The level of interest in the topic in society | ~ 128% | ~ 6.9% | |||||
Engagement level | Engagement level | ||||||
Views | ~ 34K | ~ 42K | |||||
Comments | ~ 848 | ~ 97 | |||||
Reposts | ~ 825 | ~ 46 | |||||
Likes | ~ 2K | ~ 123 | |||||
Dislikes | ~ 35 | ~ 0 | |||||
Total engagement level | ~ 38K | ~ 42K | |||||
Popular words | Popular words | ||||||
By texts | By comments | By texts | By comments | ||||
Word | Frequency of consumption | Word | Frequency of consumption | Word | Frequency of consumption | Word | Frequency of consumption |
To be | 1786 (1.00%) | Vaccine | 143 (1.59%) | Coronavirus | 52 (2.15%) | Person | 11 (1.59%) |
Kazakhstan | 1630 (0.91%) | Person | 82 (0.91%) | Reference | 44 (1.82%) | Vaccine | 11 (1.59%) |
Person | 1493 (0.83%) | To be | 63 (0.70%) | To attach | 40 (1.66%) | To be | 11 (1.59%) |
Year | 1268 (0.71%) | Vaccination | 46 (0.51%) | Area | 36 (1.49%) | Simply | 8 (1.16%) |
Coronavirus | 1213 (0.68%) | Kazakhstan | 39 (0.43%) | Strain | 22 (0.91%) | People | 6 (0.87%) |
Vaccination | 1201 (0.67%) | Later | 38 (0.42%) | Pavlodar | 22 (0.91%) | Though | 4 (0.58%) |
Vaccine | 1018 (0.57%) | Child | 33 (0.36%) | Kazakhstan | 21 (0.87%) | Level | 4 (0.58%) |
Case | 808 (0.45%) | Can | 33 (0.36%) | Heading | 20 (0.83%) | To buy | 4 (0.58%) |
Country | 750 (0.42%) | To speak | 33 (0.36%) | Vaccine | 20 (0.83%) | Proper | 4 (0.58%) |
Infection | 724 (0.40%) | Necessary | 30 (0.33%) | Url | 20 (0.83%) | Virus | 4 (0.58%) |
Covid-19 | 722 (0.40%) | To know | 30 (0.33%) | To be | 19 (0.78%) | Guilty | 4 (0.58%) |
Can | 692 (0.38%) | Is | 30 (0.33%) | Year | 17 (0.70%) | Strain | 3 (0.43%) |
Area | 674 (0.37%) | Covid | 29 (0.32%) | Person | 16 (0.66%) | To make | 3 (0.43%) |
July | 638 (0.35%) | People | 27 (0.30%) | Can | 14 (0.58%) | Inoculation | 3 (0.43%) |
More | 635 (0.35%) | To do | 24 (0.26%) | Vaccination | 14 (0.58%) | In a row | 3 (0.43%) |
Day | 633 (0.35%) | Year | 24 (0.26%) | Health care | 13 (0.53%) | Life | 3 (0.43%) |
Work | 631 (0.35%) | Doctor | 24 (0.26%) | Pavlodar | 12 (0.49%) | Any | 3 (0.43%) |
New | 630 (0.35%) | To be ill | 24 (0.26%) | Doctor | 12 (0.49%) | Small | 3 (0.43%) |
Coronavirus | 612 (0.34%) | To tell | 23 (0.25%) | To work | 11 (0.45%) | To know | 3 (0.43%) |
Patient | 603 (0.33%) | Virus | 21 (0.23%) | To become | 10 (0.41%) | Delta | 3 (0.43%) |