Skywatch Statistics (original) (raw)
Overall
Table 1: Labels emitted by Skywatch on 2026-02-09
| Label | count | percent |
|---|---|---|
| fundraising-link | 2,303 | 48.57% |
| fringe-media | 1,196 | 25.22% |
| platform-manipulation | 253 | 5.34% |
| follow-farming | 222 | 4.68% |
| alt-tech | 169 | 3.56% |
| contains-slur | 169 | 3.56% |
| suspect-inauthentic | 155 | 3.27% |
| elon-musk | 111 | 2.34% |
| disinformation-network | 109 | 2.30% |
| sports-betting | 23 | 0.49% |
| blue-heart-emoji | 9 | 0.19% |
| troll | 6 | 0.13% |
| inverted-red-triangle | 5 | 0.11% |
| hammer-sickle | 4 | 0.08% |
| intolerance | 4 | 0.08% |
| amplifier | 2 | 0.04% |
| maga-trump | 2 | 0.04% |
Table 2: Labels emitted by Skywatch on 2026-02-09 by hour
| Hour (UTC) | Labels | ||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| fringe-media | fundraising-link | follow-farming | alt-tech | sports-betting | contains-slur | elon-musk | disinformation-network | platform-manipulation | blue-heart-emoji | troll | suspect-inauthentic | inverted-red-triangle | hammer-sickle | amplifier | intolerance | maga-trump | terf-gc | low-quality-replies | nazi-symbolism | alf | sensual-alf | alt-gov | |
| 0 | 50 | 315 | 19 | 15 | 1 | 7 | 5 | 5 | 31 | 1 | 0 | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | 54 | 262 | 15 | 11 | 0 | 9 | 6 | 5 | 8 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 2 | 42 | 48 | 28 | 6 | 3 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3 | 36 | 50 | 9 | 6 | 0 | 12 | 1 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 4 | 24 | 41 | 6 | 3 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 5 | 16 | 77 | 2 | 5 | 0 | 5 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6 | 19 | 38 | 4 | 1 | 0 | 6 | 4 | 4 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 7 | 20 | 31 | 3 | 3 | 1 | 1 | 4 | 3 | 6 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 8 | 12 | 33 | 0 | 1 | 0 | 4 | 12 | 1 | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9 | 42 | 41 | 4 | 6 | 1 | 6 | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10 | 17 | 33 | 2 | 3 | 0 | 5 | 8 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 11 | 29 | 54 | 5 | 3 | 0 | 1 | 1 | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 12 | 48 | 59 | 8 | 8 | 3 | 4 | 5 | 5 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 13 | 65 | 71 | 8 | 7 | 0 | 3 | 4 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 14 | 68 | 87 | 5 | 5 | 0 | 7 | 9 | 4 | 8 | 1 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 15 | 61 | 111 | 14 | 7 | 1 | 10 | 4 | 5 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 16 | 70 | 128 | 7 | 2 | 0 | 13 | 3 | 5 | 16 | 1 | 0 | 16 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 17 | 63 | 143 | 10 | 10 | 1 | 8 | 5 | 4 | 21 | 0 | 0 | 18 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 18 | 62 | 135 | 10 | 15 | 0 | 4 | 2 | 8 | 19 | 0 | 0 | 16 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 19 | 84 | 101 | 11 | 14 | 2 | 13 | 3 | 4 | 17 | 0 | 2 | 17 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 20 | 72 | 93 | 10 | 5 | 2 | 8 | 5 | 4 | 24 | 1 | 1 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 21 | 108 | 140 | 12 | 21 | 2 | 10 | 5 | 7 | 33 | 0 | 0 | 16 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 22 | 73 | 128 | 14 | 10 | 3 | 8 | 6 | 6 | 31 | 0 | 1 | 16 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 23 | 61 | 84 | 16 | 2 | 2 | 15 | 9 | 4 | 21 | 1 | 0 | 16 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Figure 1: Labels emitted per Hour (UTC) on 2026-02-09.
Count of Labels Emitted, by Count of unique DID, previous 90 days
Partly or fully automated labels only. Limited to top 25 most prolific accounts.
- alt-tech
- blue-heart-emoji
- contains-slur
- disinformation-network
- elon-musk
- follow-farming
- fringe-media
- fundraising-link
- hammer-sickle
- intolerance
- inverted-red-triangle
- maga-trump
- nazi-symbolism
- platform-manipulation
- sports-betting
- suspect-inauthentic
Count of alt-tech labels emitted by count of unique DIDs
| Label | Count of unique DIDs | Number of Labels Emitted |
|---|---|---|
| alt-tech | 1 | 862 |
| alt-tech | 1 | 769 |
| alt-tech | 1 | 705 |
| alt-tech | 1 | 612 |
| alt-tech | 1 | 511 |
| alt-tech | 1 | 476 |
| alt-tech | 1 | 452 |
| alt-tech | 1 | 349 |
| alt-tech | 1 | 339 |
| alt-tech | 1 | 333 |
| alt-tech | 1 | 305 |
| alt-tech | 1 | 275 |
| alt-tech | 1 | 268 |
| alt-tech | 1 | 267 |
| alt-tech | 1 | 251 |
| alt-tech | 1 | 248 |
| alt-tech | 1 | 235 |
| alt-tech | 1 | 226 |
| alt-tech | 1 | 222 |
| alt-tech | 1 | 208 |
| alt-tech | 1 | 188 |
| alt-tech | 1 | 184 |
| alt-tech | 1 | 182 |
| alt-tech | 2 | 179 |
| alt-tech | 1 | 177 |
Count of blue-heart-emoji labels emitted by count of unique DIDs
| Label | Count of unique DIDs | Number of Labels Emitted |
|---|---|---|
| blue-heart-emoji | 2 | 2 |
| blue-heart-emoji | 733 | 1 |
Count of contains-slur labels emitted by count of unique DIDs
| Label | Count of unique DIDs | Number of Labels Emitted |
|---|---|---|
| contains-slur | 1 | 106 |
| contains-slur | 1 | 102 |
| contains-slur | 1 | 95 |
| contains-slur | 1 | 80 |
| contains-slur | 1 | 79 |
| contains-slur | 1 | 61 |
| contains-slur | 2 | 59 |
| contains-slur | 1 | 48 |
| contains-slur | 1 | 47 |
| contains-slur | 1 | 46 |
| contains-slur | 2 | 45 |
| contains-slur | 2 | 44 |
| contains-slur | 2 | 42 |
| contains-slur | 1 | 40 |
| contains-slur | 2 | 38 |
| contains-slur | 2 | 35 |
| contains-slur | 1 | 34 |
| contains-slur | 3 | 33 |
| contains-slur | 1 | 32 |
| contains-slur | 2 | 31 |
| contains-slur | 3 | 30 |
| contains-slur | 2 | 29 |
| contains-slur | 3 | 28 |
| contains-slur | 1 | 27 |
| contains-slur | 4 | 26 |
Count of disinformation-network labels emitted by count of unique DIDs
| Label | Count of unique DIDs | Number of Labels Emitted |
|---|---|---|
| disinformation-network | 1 | 1011 |
| disinformation-network | 1 | 456 |
| disinformation-network | 1 | 420 |
| disinformation-network | 1 | 418 |
| disinformation-network | 1 | 383 |
| disinformation-network | 1 | 324 |
| disinformation-network | 1 | 301 |
| disinformation-network | 1 | 296 |
| disinformation-network | 1 | 253 |
| disinformation-network | 1 | 200 |
| disinformation-network | 1 | 174 |
| disinformation-network | 1 | 150 |
| disinformation-network | 1 | 76 |
| disinformation-network | 1 | 74 |
| disinformation-network | 1 | 71 |
| disinformation-network | 2 | 70 |
| disinformation-network | 1 | 66 |
| disinformation-network | 3 | 65 |
| disinformation-network | 1 | 57 |
| disinformation-network | 1 | 56 |
| disinformation-network | 1 | 55 |
| disinformation-network | 1 | 46 |
| disinformation-network | 2 | 44 |
| disinformation-network | 1 | 43 |
| disinformation-network | 1 | 42 |
Count of elon-musk labels emitted by count of unique DIDs
| Label | Count of unique DIDs | Number of Labels Emitted |
|---|---|---|
| elon-musk | 5186 | 1 |
Count of follow-farming labels emitted by count of unique DIDs
| Label | Count of unique DIDs | Number of Labels Emitted |
|---|---|---|
| follow-farming | 1 | 3715 |
| follow-farming | 1 | 2220 |
| follow-farming | 1 | 1367 |
| follow-farming | 1 | 1062 |
| follow-farming | 1 | 1055 |
| follow-farming | 1 | 578 |
| follow-farming | 1 | 466 |
| follow-farming | 1 | 460 |
| follow-farming | 1 | 431 |
| follow-farming | 1 | 389 |
| follow-farming | 1 | 383 |
| follow-farming | 1 | 375 |
| follow-farming | 1 | 354 |
| follow-farming | 1 | 352 |
| follow-farming | 1 | 319 |
| follow-farming | 1 | 275 |
| follow-farming | 1 | 239 |
| follow-farming | 1 | 236 |
| follow-farming | 1 | 228 |
| follow-farming | 1 | 227 |
| follow-farming | 1 | 214 |
| follow-farming | 1 | 210 |
| follow-farming | 1 | 200 |
| follow-farming | 1 | 199 |
| follow-farming | 1 | 198 |
Count of fringe-media labels emitted by count of unique DIDs
| Label | Count of unique DIDs | Number of Labels Emitted |
|---|---|---|
| fringe-media | 1 | 17459 |
| fringe-media | 1 | 6573 |
| fringe-media | 1 | 6189 |
| fringe-media | 1 | 3766 |
| fringe-media | 1 | 3136 |
| fringe-media | 1 | 2842 |
| fringe-media | 1 | 2386 |
| fringe-media | 1 | 2251 |
| fringe-media | 1 | 1488 |
| fringe-media | 1 | 1296 |
| fringe-media | 1 | 1196 |
| fringe-media | 1 | 1084 |
| fringe-media | 1 | 984 |
| fringe-media | 1 | 928 |
| fringe-media | 1 | 862 |
| fringe-media | 1 | 796 |
| fringe-media | 1 | 681 |
| fringe-media | 1 | 651 |
| fringe-media | 1 | 634 |
| fringe-media | 1 | 619 |
| fringe-media | 1 | 612 |
| fringe-media | 1 | 609 |
| fringe-media | 1 | 578 |
| fringe-media | 1 | 512 |
| fringe-media | 1 | 511 |
Count of fundraising-link labels emitted by count of unique DIDs
| Label | Count of unique DIDs | Number of Labels Emitted |
|---|---|---|
| fundraising-link | 1 | 3208 |
| fundraising-link | 1 | 2628 |
| fundraising-link | 1 | 2579 |
| fundraising-link | 1 | 2431 |
| fundraising-link | 1 | 2109 |
| fundraising-link | 1 | 1948 |
| fundraising-link | 1 | 1928 |
| fundraising-link | 1 | 1904 |
| fundraising-link | 1 | 1824 |
| fundraising-link | 1 | 1668 |
| fundraising-link | 1 | 1610 |
| fundraising-link | 1 | 1384 |
| fundraising-link | 1 | 1254 |
| fundraising-link | 1 | 1123 |
| fundraising-link | 1 | 1113 |
| fundraising-link | 1 | 920 |
| fundraising-link | 1 | 910 |
| fundraising-link | 1 | 874 |
| fundraising-link | 2 | 831 |
| fundraising-link | 1 | 817 |
| fundraising-link | 1 | 809 |
| fundraising-link | 1 | 798 |
| fundraising-link | 1 | 743 |
| fundraising-link | 1 | 666 |
| fundraising-link | 1 | 663 |
Count of hammer-sickle labels emitted by count of unique DIDs
| Label | Count of unique DIDs | Number of Labels Emitted |
|---|---|---|
| hammer-sickle | 2 | 3 |
| hammer-sickle | 321 | 1 |
Count of intolerance labels emitted by count of unique DIDs
| Label | Count of unique DIDs | Number of Labels Emitted |
|---|---|---|
| intolerance | 1 | 329 |
| intolerance | 1 | 118 |
| intolerance | 1 | 43 |
| intolerance | 1 | 40 |
| intolerance | 1 | 27 |
| intolerance | 1 | 22 |
| intolerance | 1 | 21 |
| intolerance | 1 | 18 |
| intolerance | 1 | 16 |
| intolerance | 1 | 15 |
| intolerance | 1 | 13 |
| intolerance | 2 | 10 |
| intolerance | 1 | 9 |
| intolerance | 7 | 8 |
| intolerance | 6 | 7 |
| intolerance | 7 | 6 |
| intolerance | 7 | 5 |
| intolerance | 24 | 4 |
| intolerance | 68 | 3 |
| intolerance | 293 | 2 |
| intolerance | 1557 | 1 |
Count of inverted-red-triangle labels emitted by count of unique DIDs
| Label | Count of unique DIDs | Number of Labels Emitted |
|---|---|---|
| inverted-red-triangle | 1 | 2 |
| inverted-red-triangle | 218 | 1 |
Count of maga-trump labels emitted by count of unique DIDs
| Label | Count of unique DIDs | Number of Labels Emitted |
|---|---|---|
| maga-trump | 1 | 5 |
| maga-trump | 1 | 3 |
| maga-trump | 12 | 2 |
| maga-trump | 645 | 1 |
Count of nazi-symbolism labels emitted by count of unique DIDs
| Label | Count of unique DIDs | Number of Labels Emitted |
|---|---|---|
| nazi-symbolism | 57 | 1 |
Count of platform-manipulation labels emitted by count of unique DIDs
| Label | Count of unique DIDs | Number of Labels Emitted |
|---|---|---|
| platform-manipulation | 5 | 2 |
| platform-manipulation | 3365 | 1 |
Count of sports-betting labels emitted by count of unique DIDs
| Label | Count of unique DIDs | Number of Labels Emitted |
|---|---|---|
| sports-betting | 1 | 50 |
| sports-betting | 1 | 47 |
| sports-betting | 1 | 33 |
| sports-betting | 1 | 27 |
| sports-betting | 1 | 26 |
| sports-betting | 1 | 22 |
| sports-betting | 1 | 18 |
| sports-betting | 2 | 17 |
| sports-betting | 1 | 15 |
| sports-betting | 2 | 13 |
| sports-betting | 1 | 9 |
| sports-betting | 2 | 8 |
| sports-betting | 2 | 7 |
| sports-betting | 2 | 6 |
| sports-betting | 3 | 4 |
| sports-betting | 3 | 3 |
| sports-betting | 31 | 2 |
| sports-betting | 156 | 1 |
Count of suspect-inauthentic labels emitted by count of unique DIDs
| Label | Count of unique DIDs | Number of Labels Emitted |
|---|---|---|
| suspect-inauthentic | 1 | 8 |
| suspect-inauthentic | 1 | 7 |
| suspect-inauthentic | 1 | 6 |
| suspect-inauthentic | 1 | 5 |
| suspect-inauthentic | 2 | 3 |
| suspect-inauthentic | 2 | 2 |
| suspect-inauthentic | 2036 | 1 |
3 Day Rolling Average, By Label, previous 90 days
Partly or fully automated labels only.