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Research:Anonymous editor acquisition/Volume and impact

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This page in a nutshell: There are about 100,000 anonymous (IP) editors a month on English Wikipedia, and they make roughly one third of the more than three million edits/month. The average IP makes just one or two edits a month, within a 15 minute time period.

This page documents quantitative research in the volume of anonymous editors on English Wikipedia.

Unique IPs editing

[edit ]
The number of revisions saved per month is plotted by the type of agent.
The monthly edit session hours are plotted by user type
The number of monthly edit sessions is plotted by the type of agent.
The mean number of hours per session is plotted by the type of agent.
The mean number of revisions per session is plotted by the type of agent.

Main namespace activity

[edit ]
The plots below are based on non-deleted articles and include bots. In other words, contributions to deleted articles are forgotten by these measurements.
Unique editors. The number of unique editors (by user_text) is plotted for two agent types (anon = IP editors, user = registered account) over time.
data table
 year month anons users
1 2002 1 846 179
2 2002 2 1297 261
3 2002 3 1301 245
4 2002 4 1225 216
5 2002 5 1194 205
6 2002 6 1159 256
7 2002 7 1346 287
8 2002 8 1974 382
9 2002 9 2639 478
10 2002 10 2744 553
11 2002 11 2906 537
12 2002 12 3115 584
13 2003 1 3783 892
14 2003 2 2981 894
15 2003 3 3476 859
16 2003 4 3762 836
17 2003 5 4678 1131
18 2003 6 4998 1289
19 2003 7 6184 1662
20 2003 8 7171 1792
21 2003 9 7895 1832
22 2003 10 8408 2127
23 2003 11 8629 2268
24 2003 12 9679 2441
25 2004 1 10812 2855
26 2004 2 14622 3819
27 2004 3 19947 5000
28 2004 4 19458 5185
29 2004 5 20741 5680
30 2004 6 22244 5955
31 2004 7 27033 7057
32 2004 8 27312 7709
33 2004 9 34514 8808
34 2004 10 41571 10125
35 2004 11 51141 11618
36 2004 12 55204 12564
37 2005 1 59764 13143
38 2005 2 55688 13315
39 2005 3 68073 16204
40 2005 4 84867 18918
41 2005 5 95172 20666
42 2005 6 99485 22048
43 2005 7 123420 27278
44 2005 8 139681 30826
45 2005 9 147847 30055
46 2005 10 195068 35029
47 2005 11 209846 37040
48 2005 12 246033 53429
49 2006 1 269237 60558
50 2006 2 254134 67589
51 2006 3 294420 80962
52 2006 4 309672 83824
53 2006 5 353698 93007
54 2006 6 325163 95554
55 2006 7 330718 102532
56 2006 8 364406 116167
57 2006 9 392551 117084
58 2006 10 453260 125561
59 2006 11 484370 136733
60 2006 12 467665 139049
61 2007 1 521937 152841
62 2007 2 522122 156115
63 2007 3 587593 166786
64 2007 4 580644 163302
65 2007 5 583441 157434
66 2007 6 490714 137363
67 2007 7 465612 139333
68 2007 8 466858 138500
69 2007 9 515266 140561
70 2007 10 567971 149586
71 2007 11 529857 142469
72 2007 12 488696 130853
73 2008 1 546358 143924
74 2008 2 539645 143657
75 2008 3 577579 150839
76 2008 4 564249 148672
77 2008 5 560972 144963
78 2008 6 489359 129946
79 2008 7 465218 128503
80 2008 8 468386 128224
81 2008 9 521777 130752
82 2008 10 567766 138341
83 2008 11 517581 132717
84 2008 12 479973 129029
85 2009 1 541440 138752
86 2009 2 529409 134380
87 2009 3 559096 140920
88 2009 4 501052 133901
89 2009 5 499108 136814
90 2009 6 448920 130297
91 2009 7 424177 127757
92 2009 8 423714 127569
93 2009 9 450131 127735
94 2009 10 489478 133193
95 2009 11 474614 132618
96 2009 12 445566 126985
97 2010 1 493342 134999
98 2010 2 474142 130772
99 2010 3 504201 136700
100 2010 4 482889 131225
101 2010 5 482409 131343
102 2010 6 424694 119112
103 2010 7 410266 116362
104 2010 8 416148 117332
105 2010 9 432894 114825
106 2010 10 459869 118246
107 2010 11 443758 116147
108 2010 12 421323 111943
109 2011 1 473608 123933
110 2011 2 400635 124776
111 2011 3 395382 134702
112 2011 4 375495 127779
113 2011 5 381674 126780
114 2011 6 358992 121164
115 2011 7 349445 118365
116 2011 8 360907 120690
117 2011 9 354622 119771
118 2011 10 384521 120891
119 2011 11 379829 117540
120 2011 12 358109 112960
121 2012 1 378354 119845
122 2012 2 366673 116249
123 2012 3 373006 114207
124 2012 4 363345 112349
125 2012 5 365659 114365
126 2012 6 327139 107653
127 2012 7 325462 110068
128 2012 8 325390 110329
129 2012 9 322210 105873
130 2012 10 363654 111257
131 2012 11 354102 110854
132 2012 12 336997 106331
133 2013 1 365335 113771
134 2013 2 334921 107978
Revisions. The sum total revisions are plotted for two agent types (anon = IP editors, user = registered account) over time.
data table
 year month anon user
1 2002 1 6582 7033
2 2002 2 34744 11842
3 2002 3 6252 13406
4 2002 4 4987 11410
5 2002 5 6523 10541
6 2002 6 7753 17557
7 2002 7 8908 19840
8 2002 8 13418 37382
9 2002 9 14882 57341
10 2002 10 16122 79889
11 2002 11 14767 37298
12 2002 12 16069 70989
13 2003 1 19052 55645
14 2003 2 13375 51102
15 2003 3 16450 55211
16 2003 4 17405 56673
17 2003 5 18212 73821
18 2003 6 18809 77259
19 2003 7 24081 85021
20 2003 8 30914 95437
21 2003 9 28823 86056
22 2003 10 29654 94137
23 2003 11 31083 130847
24 2003 12 33782 146604
25 2004 1 34719 140528
26 2004 2 51281 190625
27 2004 3 72768 273204
28 2004 4 67572 251235
29 2004 5 71903 261346
30 2004 6 116225 339558
31 2004 7 91111 397102
32 2004 8 92695 415525
33 2004 9 119360 406570
34 2004 10 134469 447909
35 2004 11 174049 575132
36 2004 12 184944 536989
37 2005 1 181220 436042
38 2005 2 175463 427592
39 2005 3 221243 563762
40 2005 4 301930 707551
41 2005 5 333840 730857
42 2005 6 366635 801560
43 2005 7 447675 952863
44 2005 8 486059 1010211
45 2005 9 477582 950145
46 2005 10 637511 1089737
47 2005 11 686073 1161247
48 2005 12 814495 1619254
49 2006 1 888323 1847550
50 2006 2 818141 1795400
51 2006 3 928449 2144413
52 2006 4 962075 2007965
53 2006 5 1131488 2294020
54 2006 6 1039264 2315509
55 2006 7 1048810 2457158
56 2006 8 1136734 2718024
57 2006 9 1177671 2478246
58 2006 10 1356396 2646149
59 2006 11 1426375 2701018
60 2006 12 1337316 2774374
61 2007 1 1506578 3016875
62 2007 2 1487806 2936861
63 2007 3 1658946 3158764
64 2007 4 1615933 3112278
65 2007 5 1625036 3080062
66 2007 6 1349696 2809410
67 2007 7 1318353 2876191
68 2007 8 1290206 2819663
69 2007 9 1381824 2786521
70 2007 10 1517163 2965697
71 2007 11 1378865 2793668
72 2007 12 1252918 2819557
73 2008 1 1425178 2885444
74 2008 2 1406256 2813322
75 2008 3 1500228 3286876
76 2008 4 1471049 2888746
77 2008 5 1452490 2908546
78 2008 6 1276511 2813279
79 2008 7 1248956 2859283
80 2008 8 1263954 2907032
81 2008 9 1358346 3050065
82 2008 10 1471438 3105049
83 2008 11 1311301 2792878
84 2008 12 1218611 2798503
85 2009 1 1375384 2948529
86 2009 2 1343122 2819580
87 2009 3 1430186 2956990
88 2009 4 1290662 2736693
89 2009 5 1296284 2986443
90 2009 6 1193472 2738490
91 2009 7 1136902 2665222
92 2009 8 1134699 2754510
93 2009 9 1174423 2802971
94 2009 10 1263653 2705464
95 2009 11 1212100 2692243
96 2009 12 1122390 3255307
97 2010 1 1261053 2681675
98 2010 2 1209966 2664554
99 2010 3 1296406 2818772
100 2010 4 1262881 2761881
101 2010 5 1237142 2833181
102 2010 6 1069870 2868806
103 2010 7 1076090 2566090
104 2010 8 1090406 2764606
105 2010 9 1107899 2839909
106 2010 10 1172684 2947512
107 2010 11 1104083 2790598
108 2010 12 1055231 2623904
109 2011 1 1200216 2859028
110 2011 2 1004973 2505141
111 2011 3 999807 2573958
112 2011 4 948664 2610759
113 2011 5 956222 2545010
114 2011 6 930435 2624105
115 2011 7 914425 2694038
116 2011 8 937978 2523124
117 2011 9 899383 2553156
118 2011 10 961145 2433413
119 2011 11 950371 2377974
120 2011 12 894670 2448356
121 2012 1 960778 2701747
122 2012 2 932722 2492479
123 2012 3 955241 2567452
124 2012 4 927534 2447083
125 2012 5 937883 2691577
126 2012 6 848042 2401049
127 2012 7 871331 2533698
128 2012 8 889048 2578225
129 2012 9 848759 2313936
130 2012 10 927398 2548884
131 2012 11 876837 2581585
132 2012 12 836142 2535035
133 2013 1 915532 2681223
134 2013 2 828706 3080439
Bytes added. The monthly sum total bytes added (by comparing rev_len) is plotted by agent type. (anon = IP editor, user = registered account)
data table
 year month anon user
1 2002 1 0.012385 0.093651
2 2002 2 0.020683 0.049978
3 2002 3 0.005050 0.092637
4 2002 4 0.046084 0.057417
5 2002 5 0.018208 0.039760
6 2002 6 0.026074 0.071759
7 2002 7 0.007572 0.218202
8 2002 8 0.048021 0.411880
9 2002 9 0.027414 0.486984
10 2002 10 0.147202 0.860387
11 2002 11 0.077913 0.845604
12 2002 12 0.394396 1.320455
13 2003 1 0.369062 1.358169
14 2003 2 0.054143 1.400373
15 2003 3 0.213904 0.985592
16 2003 4 0.132437 1.396273
17 2003 5 0.119801 2.886725
18 2003 6 0.106568 1.834031
19 2003 7 0.189788 1.698788
20 2003 8 0.187244 2.204399
21 2003 9 0.357202 2.643709
22 2003 10 0.156790 3.236849
23 2003 11 0.223395 3.860001
24 2003 12 0.248561 4.150468
25 2004 1 0.160151 4.934074
26 2004 2 0.490282 5.966804
27 2004 3 1.397600 12.991416
28 2004 4 0.758825 11.043725
29 2004 5 1.159358 9.826299
30 2004 6 0.542536 6.455750
31 2004 7 0.596292 9.717470
32 2004 8 0.849873 10.910973
33 2004 9 1.509876 20.425140
34 2004 10 2.698999 26.181648
35 2004 11 4.746463 41.595587
36 2004 12 4.476163 43.062163
37 2005 1 4.169102 42.687316
38 2005 2 3.361946 38.749382
39 2005 3 7.567360 51.428240
40 2005 4 9.512605 87.204960
41 2005 5 13.318327 90.570889
42 2005 6 6.191758 82.137981
43 2005 7 8.831113 100.230005
44 2005 8 5.864484 117.568409
45 2005 9 8.806108 156.629851
46 2005 10 10.286618 238.720597
47 2005 11 20.317337 282.320409
48 2005 12 34.105375 355.498817
49 2006 1 16.488371 331.422568
50 2006 2 19.090705 373.008854
51 2006 3 17.316852 459.107116
52 2006 4 16.254520 395.704831
53 2006 5 18.205109 511.785653
54 2006 6 13.053420 374.937615
55 2006 7 11.892284 303.389970
56 2006 8 14.059616 330.142228
57 2006 9 19.489344 506.451462
58 2006 10 23.076140 651.938649
59 2006 11 28.498922 703.127383
60 2006 12 15.829207 522.990732
61 2007 1 23.852155 635.076213
62 2007 2 28.587102 779.584900
63 2007 3 29.347109 880.605501
64 2007 4 27.202114 817.465592
65 2007 5 27.096942 848.425136
66 2007 6 15.840607 494.051245
67 2007 7 19.496036 394.084894
68 2007 8 14.889447 414.784902
69 2007 9 17.370748 671.761197
70 2007 10 24.814531 748.339506
71 2007 11 22.226349 626.129294
72 2007 12 14.996261 504.416459
73 2008 1 16.084718 696.383322
74 2008 2 13.980315 771.939198
75 2008 3 22.934456 763.856775
76 2008 4 23.672930 802.030691
77 2008 5 18.176154 751.843843
78 2008 6 20.582286 485.225110
79 2008 7 19.503239 380.738188
80 2008 8 23.071680 470.297873
81 2008 9 26.271215 766.216586
82 2008 10 24.024057 833.390652
83 2008 11 27.029343 647.087602
84 2008 12 16.861358 532.434540
85 2009 1 18.261037 663.527909
86 2009 2 23.135783 719.732351
87 2009 3 17.717117 577.416147
88 2009 4 10.459358 300.011900
89 2009 5 10.910196 302.408575
90 2009 6 11.401898 217.979580
91 2009 7 10.812957 178.307883
92 2009 8 10.254370 184.748383
93 2009 9 12.036462 270.813471
94 2009 10 11.018157 331.437680
95 2009 11 11.346309 293.060275
96 2009 12 10.055338 220.580848
97 2010 1 10.658743 293.207155
98 2010 2 12.836150 304.313778
99 2010 3 12.913615 346.488763
100 2010 4 11.537811 312.793582
101 2010 5 9.877441 277.463836
102 2010 6 9.138270 201.640865
103 2010 7 7.050153 153.493675
104 2010 8 8.868266 151.021926
105 2010 9 7.703931 234.894474
106 2010 10 8.815313 214.744755
107 2010 11 6.868494 186.537888
108 2010 12 7.817498 153.815932
109 2011 1 7.765005 173.002349
110 2011 2 8.079007 182.464324
111 2011 3 7.418945 160.227254
112 2011 4 8.883535 155.924546
113 2011 5 7.433619 155.547375
114 2011 6 7.161748 120.272709
115 2011 7 7.048998 110.943525
116 2011 8 6.874750 119.627500
117 2011 9 6.703717 143.835701
118 2011 10 7.582507 169.258820
119 2011 11 6.635208 164.122285
120 2011 12 6.296329 143.030151
121 2012 1 6.881303 158.431960
122 2012 2 6.768044 168.105131
123 2012 3 7.392149 171.223545
124 2012 4 7.736228 156.202519
125 2012 5 6.301344 173.848224
126 2012 6 6.819558 123.970909
127 2012 7 7.876956 115.279176
128 2012 8 7.924810 117.215783
129 2012 9 6.992721 148.853215
130 2012 10 9.745043 203.088100
131 2012 11 8.321949 165.472022
132 2012 12 6.580694 149.146924
133 2013 1 5.957408 157.779940
134 2013 2 6.538645 153.345886

Conclusions

[edit ]
  • The number of anonymous article contributors per month has fallen since 2007, but seems to have stabilized at a bit over 100,000 unique IPs editing in the main namespace per month. Compare this cohort to the 10-12% of English Wikipedia signups that stop mid-edit to create an account (full data)
  • The number of revisions to articles by anonymous editors has been just below one million per month. This composes roughly 1/3 of the total revisions to English Wikipedia.
  • Since 2006, the average revisions per session has hovered at just below two edits a session for anons. There has been much more movement in the average for registered accounts, in part due to bot activity, but it has generally been 5-6 edits per session. In terms of anonymous editor acquisition, this suggests that providing calls to register will not reach most anonymous editors if we wait for a string of multiple edits (more than two).
  • The average time spent per editing session follows a similar pattern as average revisions per session. For anonymous editors, the average has been below 15 minutes per edit session. For registered accounts, including bots, the average is double, at just below 30 minutes.

Pre-registration anonymous activity

[edit ]

Using the cu_changes table, we generated a dataset that contains a newcomers' pre-registration and first session activity. See the following diagram to get a sense of the kind of activity we're interested in:

In order to generate this, we gathered a sample of newly-registered users from the cu_changes table using this query:

SQL source code
SET@month_end=(SELECTmax(rc_timestamp)FROMrecentchanges);
SET@month_start=DATE_FORMAT(@month_end-INTERVAL30DAY,"%Y%m%d%H%i%S");
SELECT
user_idasid,
user_nameasname,
user_registrationasregistration,
user_editcountaseditcount,
cuc_ipasregistration_ip
FROMuser
INNERJOINcu_changesON
cuc_user=user_idAND
cuc_type=3AND
cuc_actiontextLIKE"User account % was created"
WHEREuser_registrationBETWEEN@month_startAND@month_end
ANDuser_editcount>0
ANDuser_id%10=0

Using the registration_ip from this dataset, we scan the revision and archive looking for revisions with a user_text field that corresponds to the registration_ip. Using the edit session method with a 1 hour cutoff, we then gather the last session before registering (if any) and the first session since registering.

Results

[edit ]

In my sample, 6.9% of newcomers who ended up making at least one edit in their first week edited as an IP before registering their account. I'm generating some histograms now to get a sense for how much they before and after registering.

Histogram of session revisions pre-registrations
Histogram of session revisions pre-registration (with zeros filtered)
Histogram of session revisions post-registration

So how do users who edit before registering behave compared to users who don't? The following plots include data from both the pre-registration session and the post-registration session.

Data Table
 pre_session revisions.geo_mean revisions.geo_se main_revisions.geo_mean
1: FALSE 1.723199 0.01047070 1.115439
2: TRUE 4.281658 0.03594024 3.452403
 main_revisions.geo_se revert_prop.mean revert_prop.sd productive.k n
1: 0.009144279 0.2321521 0.4122159 2342 4564
2: 0.037101374 0.3916604 0.4287481 232 340
 productive.prop productive.se revert_prop.se
1: 0.5131464 0.007398557 0.006101715
2: 0.6823529 0.025248611 0.023252133

What if we limit the analysis to just the post-registration session?

Data Table
 pre_session revisions.geo_mean revisions.geo_se main_revisions.geo_mean
1: TRUE 2.178460 0.04449625 1.728482
2: FALSE 1.723199 0.01047070 1.115439
 main_revisions.geo_se revert_prop.mean revert_prop.sd productive.k n
1: 0.038133895 0.3089849 0.4439494 195 340
2: 0.009144279 0.2321521 0.4122159 2342 4564
 productive.prop productive.se revert_prop.se
1: 0.5735294 0.026821492 0.024076534
2: 0.5131464 0.007398557 0.006101715

Conclusions

[edit ]
  • In our sample, 6.9% of newly-registered users edited anonymously within an hour before signing up.
  • Users who edited anonymously right before signup are significantly more productive newcomers than the general population of editors

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