Steemit Statistics(2023-09-18 ~ 2023-09-22)

I am currently conducting market analysis for the development of DApps based on the Steem Blockchain, and for this purpose I am working on SteemIt statistical analysis. All the work is not automated, and I am downloading a large number of articles from the SteemIt platform and utilizing Google Sheets to calculate the data.

Number of posts per language (2023-09-18 to 2023-09-22)

Rank	Language	Number of posts
1	English	5221
2	Korean	1699
3	Spanish	870
4	Bengali	485
5	Indonesian	434
6	German	129
7	Russian	102
8	Japanese	96
9	French	76
10	Bulgarian	73
11	Arabic	66
12	Vietnamese	62
13	Italian	44
14	Maltese	26
15	Turkish	25
16	Ukrainian	23
17	Malay	21
18	Urdu	20
19	Hindi	19
20	Portuguese	14

Number of comments per language (2023-09-18 to 2023-09-22)

Rank	Language	Number of comments
1	English	7476
2	Bengali	6439
3	Spanish	5811
4	Korean	1181
5	Indonesian	310
6	Russian	186
7	German	172
8	Guarani	123
9	Italian	113
10	Ukrainian	97
11	Japanese	64
12	Maori	62
13	Bulgarian	51
14	Hindi	33
15	Malay	27
16	Turkish	23
17	Arabic	19
18	Portuguese	16
19	Welsh	13
20	French	10

Number of posts for each app (2023-09-18 to 2023-09-22)

AppName	Count
	41387
steemit/0.2	325
wormhole3	93
steemhunt/1.0.0	26
wherein/1.0	21
steempro/1.0.431-mobile	18
upvu/	15
beem/0.24.20	13
drugwars	10
upvu	7
ECble/0.3.5	7
dtube/1.2	4
steemjs/news	3
stats	3
nutbox/wormhole3	3
ganeshaway	3
beemengine	3
BB Games	3
steemit/0.3	2
steemcoinpan/0.1	2
steemcn/0.1	2
boylikegirl.club/0.1	2
beempy/0.24.21	2
beem/0.24.21	2
PLAYSTEEM/1.1.0	2
steemit.com	1
steemauto/0.02	1
roadofrich/witness-report	1
esteem/1.6.0	1
busy/2.5.4	1

Based on the information given, we can see that posts are being uploaded from a variety of apps. In addition, there are also posts with an empty appName, which we expect to be generated primarily by bots. Utilizing this data, we should be able to prioritize the detection and removal of bot accounts.

Number of posts by author (2023-09-18 to 2023-09-22)

Author	Count
wormhole3-sync	566
zinasura	51
upvotebank	45
estream.studios	42
hive-131548	41
statsexpert	40
rongibsonchannel	40
aftabkhan10	40
mrdocterface	36
drthreefingers	36
mrpupkinseats	35
playdice	34
skared	32
playpoker	32
playhighcard	32
abandi	32
scifistories	31
arthurzee	31
halo	30
traderguy	28
itradestonks	28
unsolvedmystery	26
traderjerry	26
casinofifa2000	26
scarytales	25
mytechlife	25
drtrades	25
sadcorp	24
axeman-appics	21
sean2masaaki	20
balancednews	20
whydonate01	19
stefannikolov	19
silence528	19
phasewalker	19
ecosynthesizer	18
devilradhe	18
tropilite	16
thecryptoexpress	16
olivepainting	16
iostkr	16
samadextra	15
rktechservices	15
quickpenguin	15
powergogo	15
swearngin	14
isabellaklais	14
indicatormode	14
toobit	13
sumitsi5800	13
mariart1	13
jasonshlck	13
ichiban	13
bluengel	13
wh9527zhouxingxi	12
usay	12
samambore	12
reserchnester	12
readonlm	12
randhawasonu44	12
marygcafee	12
lirvic	12
kew19d40	12
jrfx	12
hopstep2020	12
happypray	12
haejin	12
eatonhunt	12
amolmahajan380	12
putinstalin	11
prof.zailmustafa	11
midiagam	11
jimae	11
jhy2246	11
garry08	11
coldsiksu	11
assan	11
ummayshakira	10
tasonya	10
nevlu123	10
motlhamme	10
lovexz1	10
leninmeltoe	10
gewujiding	10
fmz.com	10
zzn12138	9
yoshi361	9
walictd	9
starzl1kerain	9
samhunnahar	9
photobook	9
peterpa	9
narocky71	9
nancy0	9
munsters	9
marketreport	9
m-fdo	9
lyh5926	9
lotusbook247	9
kibreay001	9

Based on data from September 18, 2023 to September 22, 2023, a total of 3831 writers made posts. We analyzed the top 100 writers based on the number of posts and found that the users with the most posts are likely to be bots.

Comments by author (2023-09-18 to 2023-09-22)

Author	Count
successgr.with	2239
jswit	1929
steem.history	720
bijoy1	282
wherein	272
mostafezur001	232
tuhin002	205
samhunnahar	200
steemhunt	198
fuli	183
steem-seven	178
patjewell	172
cotina	170
steemegg	162
rubina203	160
ah-agim	155
oisheee	147
mohinahmed	142
rosselena	141
maksudakawsar	140
tanjima	138
marito74	138
rahnumanurdisha	137
newsteem.witness	131
kibreay001	131
monira999	125
fjjrg	125
ecosynthesizer	118
drugwars	117
tasonya	116
tipu	114
narocky71	112
paholags	111
wdev	110
jahidulislam01	109
tania69	108
yolvijrm	107
wahidasuma	106
isratmim	102
steemcurator05	101
shimulakter	101
piya3	101
dsc-r2cornell	99
steemcurator09	98
bdwomen	98
sumon09	95
sairazerin	95
jamal7	95
adriancabrera	94
fasoniya	93
steemcurator03	91
steem.price	90
sabus	90
selina75	89
rdp89	86
mile16	86
ayaan001	85
mahbubul.lemon	84
jibon47	84
steemcurator07	81
jesaf7	81
elider11	81
eglis	81
tahispadron	80
pandora2010	80
mariami	80
dove11	79
venturabogarin	78
saymaakter	78
steemit.kor	77
steemcurator08	77
steemcurator06	77
steemcurator04	75
mainuna	75
rimon03	74
biplobsarker	74
abdul-rakib	74
scilwa	73
green015	73
ashik333	73
tamannafariah	72
rosybelyepez	72
pujaghosh	72
anasuleidy	72
lirvic	71
haideremtiaz	71
ayogom	71
aongkon	71
amekhan	71
rumana12	69
rayhan111	69
steemit-ironchef	68
noelisdc	68
ruthjoe	66
aimanmusfar	66
stef1	65
muzack1	65
goodybest	65
theentertainer	64
napito	64

On the comment side, based on data from September 18, 2023 to September 22, 2023, 1136 writers commented. From these, we selected the top 100 writers based on the number of comments and analyzed them, and we can see that the users who commented the most are also likely to be bots.

Conclusion

In conclusion, on the Steem Blockchain, we see posts being uploaded from a variety of apps, some with empty appName information. We believe that these are mainly generated by bot accounts. By analyzing the top 100 writers based on the number of posts and comments, we found that the most prolific users are likely to be bots. We expect this information to be useful in detecting and managing bot accounts.