Qualitative analysis of visual risk communication on twitter during the Covid-19 pandemic

BMC Public Health

Table 2 Per stakeholder summary of the Covid-19 tweets with image dataset

	Total Accounts	Total Following	Total Followers	Average Followers	Standard Deviation Followers	Total Retweets	Average Retweets	Standard Deviation Retweets	Total Tweets	% Sample
Health or Gov	40	33′571	69′946’927	1′748’673	3′571’745	321′076	3179	5′588	101	16.40%
Individuals	209	1′882’736	325′278’634	1′556’357	4′528’980	2′171’560	6872	25′138	316	51.30%
Media	90	182′548	447′279’154	4′969’768	9′902’178	649′205	3841	6′110	169	27.40%
Other	3	11′240	14′098’198	1′566’466	3′049’140	89′488	3729	3′961	24	3.90%
Private Sector	9	641	30′578’973	10′192’991	11′209’315	137′184	22,864	12′602	6	1.00%
Total	351	2′110’736	887′181’886	2′527’584	6′493’767	3′368’513	5468	18′614	616	100%

ISSN: 1471-2458