Estimated User #12
41 IP addresses
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An IP address relates to the location of a user's computer or device, and a single person may have multiple IP addresses if they use different locations or networks. These IP addresses are grouped because they each submitted a fiction prompt longer than 30 characters that ended up in the same DBSCAN cluster—meaning the prompts are near-duplicates—from the same state (Baden-Wurttemberg). Groups are merged transitively—if A and B share a near-duplicate prompt cluster, and B and C share another, all three are grouped even if A and C never shared a prompt directly.
fa505c2033fd...
d0096192cfb0...
0791957e3a8b...
e6662702f06c...
e3a2547dfa9f...
0db545b88c35...
32c0b825dfea...
62e2e19b2843...
5d7eff25673f...
6d7b06bea7e1...
9aa9e8e8151b...
2fcb9e3336f7...
5d5938c29f94...
a1533db80e06...
6dc1ff56a2f5...
a78de560197d...
5666ccef51fb...
3531584c287d...
6ed13f4d8c53...
2e17412a75a6...
87cc0ac60d7f...
bc5e0cb75252...
6a37d6f174a0...
f6248e847f0a...
bfaa84cd7e65...
442d01579632...
2f51953e940f...
3598b82a0562...
ed8a3a11e230...
09a666cbf786...
20fa253fb6e4...
92363ac77c4d...
53b5db3e1ffb...
primary
2004db12fe87...
1821bd420624...
f64bb07721f7...
d45e915481cf...
e7bf4daa711c...
226edb2a31a2...
9450399066d1...
82d447e6e1e4...
Why these IPs were linked — 47 shared prompt clusters
Each row is a DBSCAN cluster of near-duplicate prompts that two or more of these IPs each contributed at least one conversation to. Linking events are sorted by the number of IPs they connect (so the strongest evidence is first).
722
e3a2547dfa…×104,
6d7b06bea7…×41,
0db545b88c…×14,
5d7eff2567…×7,
32c0b825df…×7,
2fcb9e3336…×1
668
e6662702f0…×37,
5d7eff2567…×29,
2fcb9e3336…×1
784
0db545b88c…×42,
2fcb9e3336…×3,
e7bf4daa71…×1
78
0791957e3a…×2,
20fa253fb6…×2,
6dc1ff56a2…×1
3757
bfaa84cd7e…×13,
f6248e847f…×7,
6ed13f4d8c…×1
2558
f6248e847f…×7,
2004db12fe…×7,
442d015796…×5
1339
5666ccef51…×16,
2f51953e94…×9,
3531584c28…×6
907
5d7eff2567…×19,
5d5938c29f…×16,
1821bd4206…×5
2163
3531584c28…×6,
3598b82a05…×3,
9aa9e8e815…×3
253
a78de56019…×10,
87cc0ac60d…×7,
2f51953e94…×5
617
0791957e3a…×14,
20fa253fb6…×6,
d45e915481…×4
52
6a37d6f174…×1,
0791957e3a…×1,
53b5db3e1f…×1
336
09a666cbf7…×10,
a78de56019…×4,
226edb2a31…×3
1236
32c0b825df…×31,
2fcb9e3336…×20,
3531584c28…×6
3760
6ed13f4d8c…×1,
82d447e6e1…×1
658
e6662702f0…×13,
20fa253fb6…×1
710
d0096192cf…×35,
e3a2547dfa…×22
5929
2e17412a75…×5,
bfaa84cd7e…×1
669
e6662702f0…×49,
d0096192cf…×11
357
bc5e0cb752…×15,
9450399066…×3
2
0791957e3a…×4,
92363ac77c…×1
12098
5d7eff2567…×5,
2fcb9e3336…×1
642
e6662702f0…×50,
20fa253fb6…×2
2158
9aa9e8e815…×20,
3598b82a05…×7
64
0791957e3a…×4,
6a37d6f174…×1
Explore Story Permutations (196)
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Story permutations group this user's prompts into themes based on how similar their wording or meaning is. Click a group to see how the user's prompts evolved: within a selected group, each prompt is shown as a word-level diff against the previous one — green marks text the user added, and red strike-through marks text they removed. This reveals how the user revised, expanded, or pruned their prompts as they iterated. Jump to methodology →