Reading set

Speeches containing a genocid* match. 1,711 meetings. The set identifies speeches to explore. It does not filter every chart; each figure states which speeches its calculations use.

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Who said it

Compare how often delegations and organisations use the vocabulary relative to their own speech totals. Of 742 speaker affiliations in the data, 152 meet the minimum for displaying a rate in the selected period. Here, a speaker means an affiliation, not an individual person.

Inside the selected reading set, who spoke, and how much of their own record is it?

Computed from the record

The reading set, by delegation

Delegations ranked by the share of their own speeches that the word holds
SpeakerSpeechesIn the setShare
Rwanda74921728.97%
Armenia1413625.53%
Liechtenstein2235122.87%
Palestine3467922.83%
Palestine Liberation Organization1573119.75%
(personal capacity)2734616.85%
Bosnia and Herzegovina3926115.56%
Burundi2573112.06%
League of Arab States2022311.39%
Mauritania2002010.00%
Cuba723628.58%
Croatia542468.49%
Saudi Arabia392328.16%
Azerbaijan494397.89%
Iran740587.84%
Luxembourg438327.31%
Iraq646456.97%
Sudan629416.52%
Israel1,399916.50%
DR Congo750445.87%

Share is of a delegation's own speeches in the whole corpus, never of the reading set.

Source

09_export_speeches.py → scopes.json

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Speakers by rate

Which delegations used the vocabulary most, as a share of their own speeches?

Computed from the record

Speakers, ranked

Why 10 ranked speakers are not mapped

The map uses source state flags and reviewed locations. Missing locations do not remove a speaker from the ranking.

  • Palestine — not classified as a state in the source flags.
  • Palestine Liberation Organization — not classified as a state in the source flags.
  • (personal capacity) — not classified as a state in the source flags.
  • League of Arab States — not classified as a state in the source flags.
  • United Nations — not classified as a state in the source flags.
  • European Union — not classified as a state in the source flags.
  • African Union — not classified as a state in the source flags.
  • German Democratic Republic — no reviewed geographic match.
  • Czechoslovakia — no reviewed geographic match.
  • German Federal Republic — no reviewed geographic match.
Speakers ranked by share of its speeches for genocide, 1946-2026
SpeakerShare95% interval 0–30%GroupSpeechesUsing the termPer 100,000 words
28.97% 25.84%–32.32%African Group749217272.55
25.53% 19.05%–33.31%Eastern European Group14136103.80
22.87% 17.84%–28.81%Western European and Others Group2235146.59
22.83% 18.72%–27.54%Other3467948.01
19.75% 14.27%–26.66%Other1573121.22
16.85% 12.88%–21.74%Other2734627.66
15.56% 12.31%–19.48%Eastern European Group3926166.20
12.06% 8.63%–16.61%African Group2573133.27
11.39% 7.71%–16.51%Intergovernmental organisation2022314.76
10.00% 6.57%–14.94%African Group2002029.39
8.58% 6.75%–10.84%Latin American and Caribbean Group7236216.88
8.49% 6.42%–11.14%Eastern European Group5424625.55
8.16% 5.84%–11.30%Asia-Pacific Group392327.10
7.89% 5.83%–10.61%Eastern European Group4943922.20
7.84% 6.11%–10.00%Asia-Pacific Group7405819.86
7.31% 5.22%–10.13%Western European and Others Group4383225.98
6.97% 5.25%–9.19%Asia-Pacific Group6464511.26
6.52% 4.84%–8.72%African Group6294115.93
6.50% 5.33%–7.92%Western European and Others Group1,3999110.51
5.87% 4.40%–7.78%African Group7504417.32

Loading the background map…

Every dot is the same size: the map locates a delegation, the table carries its rate.

Source

11_countries.py → countries/countries.json

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Was a delegation speaking as a member of the Council, or from outside it?

Computed from the record
seated in some years, not in others
P5seatE10seatNon-member stateUNNon-state
Speakers by the positions they held when speaking, 1946-2026
SpeakerSpeechesFrom a seatCompositionP5E10Non-member stateUNNon-state
China8,33799.96%8,3340300
Japan3,40286.04%02,92747500
Brazil2,86587.16%02,49736800
Pakistan2,35274.02%01,74161100
India2,20267.89%01,495691016
Australia2,18581.92%01,79039500
Poland2,15589.10%01,92023500
Syria2,13959.75%01,278849012
Colombia2,07787.39%01,81526200
Argentina2,05186.20%01,76828300
Egypt2,01460.18%01,21280200
Germany1,96683.52%01,64232400
Mexico1,85087.46%01,61823200
Belgium1,82487.55%01,59722700
South Korea1,75883.50%01,46829000
Italy1,69982.28%01,39830100
Spain1,67886.00%01,44323500
Ukraine1,59872.22%01,15444400
Netherlands1,56878.70%01,23433400
Norway1,56480.75%01,26330100
Peru1,56489.39%01,39816600
Nigeria1,54984.31%01,30624300
Denmark1,45692.79%01,35110500
Canada1,44169.81%01,00643500
Jordan1,42667.67%096546100
Malaysia1,41279.04%01,11629600
Turkey1,37443.74%060177300
South Africa1,34771.34%096138600
Indonesia1,33569.06%0922403010
Greece1,32673.98%098134500
Slovenia1,26488.37%01,11714700
Algeria1,25478.55%098526900
Ecuador1,23689.56%01,10712900
Sierra Leone1,23485.98%01,06117300
Chile1,22183.21%01,01620500
Panama1,18694.18%01,1176900
Switzerland1,18081.10%095722300
New Zealand1,16880.74%094322500
Sweden1,16686.02%01,00316300
Bolivia1,15896.55%01,1184000
Guyana1,14695.99%01,1004600
United Arab Emirates1,12182.16%092120000
Gabon1,10097.91%01,0772300
Ireland1,07482.59%088718700
Ghana1,06892.04%09838500
Malta1,04493.39%09756900
Albania1,04089.23%092811200
Yugoslavia1,03654.92%056946700
Portugal98765.65%064833900
Kuwait98676.77%075722900
Uruguay98484.65%083315100
Lebanon97352.42%0510452011
Venezuela96678.26%075621000
Vietnam91679.04%072419200
Ivory Coast90287.80%079211000
Senegal88281.29%071716500
Mozambique85789.15%07649300
Morocco84951.83%044040900
Somalia83578.32%065418100
Kenya80678.41%063217400
Ethiopia77279.92%061715500
Uganda77283.03%064113100
DR Congo75062.93%047227800
Rwanda74971.70%053721200
Libya74158.97%043730400
Tunisia74166.94%049624500
Iran74015.95%011862200
Bangladesh73460.63%044528900
Cuba72340.66%029442900
Angola70775.67%053517200
Philippines67969.51%047220700
Romania66978.48%052514400
Iraq64639.63%025639000
Sudan62935.14%022140800
Austria62371.43%044517800
Kazakhstan61771.96%044417300
Lithuania60583.64%05069900
Bulgaria60378.44%047313000
Bahrain59276.86%045513700
Mali58678.16%045812800
Jamaica57891.35%05285000
Costa Rica57673.96%042615000
Guinea57683.51%04819500
Burkina Faso56692.58%05244200
Croatia54259.96%032521700
Equatorial Guinea53497.38%05201400
Benin53287.03%04636900
Tanzania53276.88%040912300
Cameroon51594.37%04862900
Congo50590.50%04574800
Dominican Republic50482.54%04168800
Qatar49750.91%025324400
Azerbaijan49471.66%035414000
Zambia48479.96%03879700
Guatemala47753.88%025722000
Singapore47583.16%03958000
Namibia44676.01%033910700
Luxembourg43874.20%032511300
Mauritius43289.35%03864600
Estonia41666.11%027514100
Hungary40973.35%030010900
Niger40494.31%03812300
Thailand40054.25%021718300
Bosnia and Herzegovina39254.85%021517700
Chad38587.27%03364900
Togo38192.91%03542700
Nicaragua36366.67%024212100
Slovakia32963.22%020812100
Botswana32664.72%021111500
Zimbabwe28266.31%01879500
Nepal28060.36%016911100
Sri Lanka27749.82%013813900
Yemen26637.22%09916700
Liberia26451.52%013612800
Czech Republic26368.82%01818200
Finland26258.40%015310900
Burundi25744.75%011514200
Gambia24892.74%02301800
Trinidad and Tobago23787.34%02073000
Oman23581.28%01914400
Honduras23076.96%01775300
Djibouti20667.48%01396700
Cape Verde20493.14%01901400
German Democratic Republic20468.63%01406400
Czechoslovakia20278.71%01594300
Mauritania20060.00%01208000
Madagascar19177.49%01484300
Latvia18247.25%0869600
Paraguay17174.85%01284300
Guinea-Bissau16870.24%01185000
German Federal Republic15989.94%01431600
St. Vincent and the Grenadines13092.31%01201000
Belarus12040.00%0487200
Yemen People's Republic10760.75%0654200
Yemen Arab Republic452.22%014400
What the five positions mean

Permanent and elected members held Council seats when speaking. Non-member states addressed the Council without holding a seat. UN speakers and non-state participants form separate categories. The source labels elected members E10; the Council had six elected seats before its expansion in 1965.

Band width shows the share of an affiliation's speeches delivered in each membership category.

Source

11_countries.py → countries/countries.json

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When another speaker has just used the word, does a delegation use it too, or stay silent?

Computed from the record
Speakers by the share of their exposed meetings in which they used the word, 1946-2026
SpeakerShare95% interval 0–40%GroupExposed meetingsUsed the word
Thailand0.00% 0.00%–4.14%Asia-Pacific Group890
Nepal0.00% 0.00%–6.31%Asia-Pacific Group570
El Salvador0.00% 0.00%–10.15%Latin American and Caribbean Group340
Iceland0.00% 0.00%–10.43%Western European and Others Group330
Kazakhstan1.74% 0.48%–6.12%Asia-Pacific Group1152
Vietnam2.56% 0.88%–7.27%Asia-Pacific Group1173
Sri Lanka2.99% 0.82%–10.25%Asia-Pacific Group672
Japan3.05% 1.71%–5.37%Asia-Pacific Group36111
Belarus3.13% 0.55%–15.74%Eastern European Group321
Togo3.13% 0.55%–15.74%African Group321
Montenegro3.33% 0.59%–16.67%Eastern European Group301
China3.69% 2.49%–5.44%Asia-Pacific Group65024
Georgia4.17% 1.43%–11.55%Eastern European Group723
Mali4.35% 1.20%–14.53%African Group462
Lebanon4.41% 2.04%–9.29%Asia-Pacific Group1366
Zimbabwe4.44% 1.23%–14.83%African Group452
Guyana5.10% 2.20%–11.39%Latin American and Caribbean Group985
Bulgaria5.26% 1.81%–14.37%Eastern European Group573
Philippines5.77% 2.67%–12.02%Asia-Pacific Group1046
Russia5.81% 4.30%–7.82%Eastern European Group68840
Cambodia6.06% 1.68%–19.61%Asia-Pacific Group332
Norway6.25% 3.61%–10.61%Western European and Others Group19212
Egypt6.55% 4.18%–10.11%African Group27518
Morocco6.57% 3.96%–10.73%African Group21314
Dominican Republic6.67% 2.29%–17.86%Latin American and Caribbean Group453
Poland6.99% 4.13%–11.59%Eastern European Group18613
Bahrain7.00% 3.43%–13.75%Asia-Pacific Group1007
India7.14% 4.62%–10.89%Asia-Pacific Group26619
Portugal7.19% 4.06%–12.41%Western European and Others Group15311
South Korea7.36% 4.77%–11.21%Asia-Pacific Group25819
Uganda7.41% 3.44%–15.23%African Group816
Indonesia7.42% 4.69%–11.57%Asia-Pacific Group22917
Greece7.46% 4.10%–13.19%Western European and Others Group13410
Panama7.48% 3.84%–14.06%Latin American and Caribbean Group1078
Mauritius7.50% 2.58%–19.86%African Group403
Guinea7.69% 2.65%–20.32%African Group393
Somalia7.81% 3.38%–17.02%African Group645
Ethiopia8.00% 4.11%–15.00%African Group1008
Nigeria8.05% 4.85%–13.05%African Group17414
Benin8.16% 3.22%–19.19%African Group494
Guatemala8.20% 4.51%–14.43%Latin American and Caribbean Group12210
Brazil8.30% 5.64%–12.06%Latin American and Caribbean Group28924
Burkina Faso8.33% 2.87%–21.83%African Group363
Italy8.42% 5.32%–13.06%Western European and Others Group20217
Gabon8.62% 4.75%–15.14%African Group11610
Romania8.70% 4.47%–16.23%Eastern European Group928
Yemen8.82% 3.05%–22.96%Asia-Pacific Group343
Austria8.94% 5.07%–15.31%Western European and Others Group12311
Colombia9.21% 5.57%–14.87%Latin American and Caribbean Group15214
Jamaica9.30% 3.68%–21.60%Latin American and Caribbean Group434
Malta9.38% 5.44%–15.67%Western European and Others Group12812
Ireland9.58% 5.98%–15.00%Western European and Others Group16716
Kenya9.76% 5.67%–16.28%African Group12312
United Arab Emirates10.00% 6.25%–15.63%Asia-Pacific Group16016
Ecuador10.00% 6.15%–15.84%Latin American and Caribbean Group15015
Sweden10.17% 5.91%–16.94%Western European and Others Group11812
Denmark10.24% 6.08%–16.73%Western European and Others Group12713
Turkey10.67% 7.27%–15.38%Western European and Others Group22524
Finland10.87% 4.73%–23.04%Western European and Others Group465
Spain10.88% 7.23%–16.06%Western European and Others Group19321
Ivory Coast10.96% 5.66%–20.16%African Group738
United Kingdom11.54% 9.25%–14.31%Western European and Others Group61571
Ukraine11.62% 7.87%–16.83%Eastern European Group19823
Namibia11.69% 6.27%–20.75%African Group779
Equatorial Guinea11.76% 5.51%–23.38%African Group516
Myanmar12.00% 5.62%–23.80%Asia-Pacific Group506
Qatar12.12% 7.60%–18.78%Asia-Pacific Group13216
Cyprus12.24% 5.73%–24.24%Asia-Pacific Group496
Australia12.28% 8.17%–18.04%Western European and Others Group17121
South Africa12.33% 8.67%–17.25%African Group22728
Cameroon12.90% 5.13%–28.85%African Group314
Switzerland12.95% 8.93%–18.42%Western European and Others Group19325
Chile12.99% 8.57%–19.21%Latin American and Caribbean Group15420
Germany13.16% 9.37%–18.16%Western European and Others Group22830
Slovakia13.33% 7.79%–21.87%Eastern European Group9012
Bolivia13.58% 7.76%–22.70%Latin American and Caribbean Group8111
Hungary13.85% 7.46%–24.27%Eastern European Group659
Algeria14.36% 10.06%–20.09%African Group18827
Netherlands14.67% 9.89%–21.21%Western European and Others Group15022
New Zealand14.67% 9.89%–21.21%Western European and Others Group15022
Jordan14.71% 10.16%–20.81%Asia-Pacific Group17025
Estonia15.00% 9.31%–23.28%Eastern European Group10015
Latvia15.00% 8.10%–26.11%Eastern European Group609
Malaysia15.03% 10.67%–20.75%Asia-Pacific Group19329
Belgium15.09% 10.36%–21.48%Western European and Others Group15924
Singapore15.38% 8.01%–27.52%Asia-Pacific Group528
Canada15.90% 11.43%–21.68%Western European and Others Group19531
Argentina15.98% 11.92%–21.10%Latin American and Caribbean Group24439
Yugoslavia16.11% 11.07%–22.85%Eastern European Group14924
Mexico16.16% 11.69%–21.92%Latin American and Caribbean Group19832
France16.19% 13.46%–19.36%Western European and Others Group59997
Costa Rica16.22% 10.51%–24.18%Latin American and Caribbean Group11118
Peru16.33% 11.22%–23.14%Latin American and Caribbean Group14724
Mozambique16.67% 10.37%–25.69%African Group9015
Sierra Leone16.90% 11.63%–23.92%African Group14224
Venezuela17.04% 11.63%–24.27%Latin American and Caribbean Group13523
Chad17.24% 9.64%–28.91%African Group5810
Senegal17.35% 11.12%–26.04%African Group9817
Saudi Arabia17.48% 11.35%–25.94%Asia-Pacific Group10318
Israel17.86% 13.62%–23.06%Western European and Others Group25245
Kuwait17.97% 12.28%–25.52%Asia-Pacific Group12823
Slovenia18.28% 13.39%–24.46%Eastern European Group18634
Angola18.28% 11.74%–27.34%African Group9317
Djibouti18.42% 9.22%–33.42%African Group387
Libya18.52% 11.56%–28.33%African Group8115
Afghanistan19.15% 10.42%–32.54%Asia-Pacific Group479
Uruguay19.17% 13.13%–27.12%Latin American and Caribbean Group12023
Pakistan19.18% 15.07%–24.08%Asia-Pacific Group29256
Czech Republic19.64% 11.34%–31.84%Eastern European Group5611
Tunisia19.83% 13.59%–28.00%African Group11623
Iraq20.00% 13.71%–28.23%Asia-Pacific Group11523
United States20.09% 17.16%–23.40%Western European and Others Group632127
Bangladesh20.25% 14.79%–27.07%Asia-Pacific Group16333
Syria20.63% 15.48%–26.96%Asia-Pacific Group18939
Iran21.21% 15.67%–28.07%Asia-Pacific Group16535
DR Congo21.43% 14.46%–30.55%African Group9821
Burundi21.43% 12.71%–33.82%African Group5612
Ghana21.74% 15.18%–30.12%African Group11525
Luxembourg21.78% 14.85%–30.78%Western European and Others Group10122
Oman21.95% 12.00%–36.71%Asia-Pacific Group419
Maldives22.45% 13.03%–35.88%Asia-Pacific Group4911
Botswana22.58% 13.96%–34.41%African Group6214
Lithuania23.15% 16.20%–31.94%Eastern European Group10825
Nicaragua24.32% 13.36%–40.12%Latin American and Caribbean Group379
Croatia24.39% 18.45%–31.50%Eastern European Group16440
Albania24.47% 16.89%–34.05%Eastern European Group9423
Tanzania25.35% 16.68%–36.55%African Group7118
Sudan25.60% 18.76%–33.90%African Group12532
Azerbaijan26.32% 19.10%–35.08%Eastern European Group11430
Cuba27.93% 20.43%–36.90%Latin American and Caribbean Group11131
Congo28.13% 15.56%–45.37%African Group329
Bosnia and Herzegovina32.50% 24.78%–41.31%Eastern European Group12039
Liechtenstein34.86% 26.57%–44.19%Western European and Others Group10938
Armenia35.44% 25.80%–46.44%Eastern European Group7928
Rwanda69.40% 62.38%–75.62%African Group183127
The rule, as the artefact states it

A meeting counts for a speaker when the speaker took the floor in it and at least one other speaker used the word. The share is the part of those meetings in which the speaker used the word too. Procedural turns by the presidency are left out on both sides, because they read agenda titles aloud and some titles contain the word. A meeting in which the speaker was the only one to use the word does not count: nobody else had made the word available. No share is given below 30 meetings; across the corpus speakers join in 11.3% of such meetings, and seeing none in fewer than 25 meetings is what that average would predict.

The stricter reading follows the order of speaking. A meeting counts when the speaker took the floor after another speaker had already used the word, and the share is the part of those meetings in which the speaker then used it. Across the corpus 20,296 of the 30,752 attendances counted above meet that test; in the rest the speaker had finished before anyone else used the word. Under it speakers join in 13.4% of such meetings.

Shares are of a delegation's own exposed meetings, never of all its speeches.

Source

11_countries.py → countries/countries.json

Download

Which words are more frequent in this affiliation's speeches than in the comparison speeches?

Computed from the record

10,720 paired speeches out of 12,234 (87.62% of its record) · 5,647,544 words against 4,475,115 in the comparison set · 9 of the 15 largest unpaired differences are no longer among the largest once paired; the others fell by a median of -0.15 on the log-ratio scale

Keywords for Russia, against a matched control
WordConservativeLog ratioThis speakerCompared withG²Speeches / meetingsSpread (DP)
kyiv+4.01+4.81 [+4.46, +4.86]2,228632,126377 / 3020.91
racists+4.00+5.55 [+4.18, +5.64]83014849174 / 1620.94
monopolies+3.54+6.10 [+5.09, +6.10]3464367114 / 1100.93
circles+3.38+4.69 [+3.92, +4.69]68621646335 / 3150.86
kyiv's+3.22+7.29 [+7.28, +8.31]1981220126 / 1170.96
washington's+2.97+7.06 [+7.02, +8.07]1681185133 / 1330.97
anti-russian+2.94+7.75 [+7.74, +7.82]1360159100 / 990.97
colonial+2.88+3.49 [+3.49, +3.80]1,6331151,245454 / 4140.86
colonialists+2.76+3.86 [+3.50, +4.48]60433499148 / 1390.94
colonizers+2.65+7.48 [+5.46, +7.48]113013242 / 420.98
clique+2.64+4.63 [+3.73, +5.06]2508234138 / 1320.94
kuomintang+2.64+6.74 [+5.63, +6.77]135114756 / 420.99
racist+2.57+3.20 [+2.42, +3.20]1,278110902212 / 1960.93
zelenskyy+2.53+3.90 [+3.25, +4.32]37620313131 / 1220.96
donbas+2.45+3.45 [+3.07, +3.58]56641427185 / 1620.95
slanderous+2.43+4.66 [+3.78, +5.21]1926180118 / 1030.95
occupiers+2.42+6.54 [+4.54, +6.55]117112772 / 680.97
maidan+2.40+5.71 [+4.38, +6.70]132213772 / 680.98
patrons+2.39+7.23 [+4.63, +7.23]95011173 / 730.97
allegedly+2.34+3.55 [+3.29, +3.61]39927309310 / 3010.90

Most frequent agenda categories

The comparison matches on these agenda categories. Russia spoke on 618 categories; 16.87% of its speeches concerned the three most frequent.

  • The situation in the Middle East
  • The situation in the Middle East, including the Palestinian question
  • Maintenance of international peace and security
  • The Palestine question
  • Admission of new Members
  • Situation in the Republic of the Congo
  • The situation in the occupied Arab territories
  • Middle East situation, including the Palestinian question
  • 610 further items

Bar length shows the smallest difference the counts support, so a rare word draws a short bar however exclusive it is. A filled bar is a word the delegation uses more; an open dashed one, less.

Source

12_speaker_keyness.py → countries/speaker_keyness.json

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Who is not here

  • 590 speakers were never paired at all. They delivered fewer than 125 speeches, so no comparison could be built. Their absence from this comparison does not imply an absence of distinctive language.
  • 5 were paired and then held back. Select one to see its matching coverage and the reason its table is withheld: Palestine Liberation Organization (47.77%),Georgia (83.57%),Haiti (92.42%),St. Vincent and the Grenadines (94.62%),United Nations (4.31%).
  • A distinctive word is not a position. A delegation that frequently names a conflict may be condemning it, reporting on it, or chairing the debate about it. Read the speeches
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