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Nothing here yet. Add an occurrence from the concordance or the reader, and it will keep the sentence, the speaker and the record it came from.

Who said it

Compare how often delegations and organisations use the vocabulary relative to their own speech totals. Of 708 speaker affiliations in the data, 148 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
Rwanda72419627.07%
Liechtenstein1984723.74%
Palestine Liberation Organization1352921.48%
(personal capacity)2113717.54%
Palestine3064615.03%
Bosnia and Herzegovina3835714.88%
Burundi2233113.90%
League of Arab States170169.41%
Croatia513458.77%
Mauritania184168.70%
Saudi Arabia345298.41%
Azerbaijan473377.82%
Luxembourg424317.31%
Iran667446.60%
Nicaragua321216.54%
Iraq612406.54%
Cuba675446.52%
Georgia12686.35%
Israel1,290796.12%
Afghanistan209125.74%

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 Liberation Organization — not classified as a state in the source flags.
  • (personal capacity) — not classified as a state in the source flags.
  • Palestine — not classified as a state in the source flags.
  • League of Arab States — not classified as a state in the source flags.
  • European Union — not classified as a state in the source flags.
  • United Nations — 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, 1946-2024
SpeakerGroupSpeechesUsing the termShare95% intervalPer 100,000 words
African Group72419627.07% 23.96%–30.42%272.12
Western European and Others Group1984723.74% 18.35%–30.13%47.68
Other1352921.48% 15.39%–29.15%23.74
Other2113717.54% 13.00%–23.23%29.07
Other3064615.03% 11.46%–19.47%32.95
Eastern European Group3835714.88% 11.67%–18.80%60.98
African Group2233113.90% 9.97%–19.06%35.94
Intergovernmental organisation170169.41% 5.88%–14.74%12.35
Eastern European Group513458.77% 6.62%–11.54%26.38
African Group184168.70% 5.42%–13.66%24.24
Asia-Pacific Group345298.41% 5.92%–11.81%7.20
Eastern European Group473377.82% 5.73%–10.60%22.22
Western European and Others Group424317.31% 5.20%–10.19%26.37
Asia-Pacific Group667446.60% 4.95%–8.74%18.23
Latin American and Caribbean Group321216.54% 4.32%–9.79%15.46
Asia-Pacific Group612406.54% 4.84%–8.78%11.05
Latin American and Caribbean Group675446.52% 4.89%–8.64%11.50
Eastern European Group12686.35% 3.25%–12.03%13.16
Western European and Others Group1,290796.12% 4.94%–7.57%9.81
Asia-Pacific Group209125.74% 3.31%–9.77%9.37

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, 1946-2024
SpeakerSpeechesFrom a seatP5E10Non-member stateUNNon-state
United States of America10,29599.96%10,2910004
United Kingdom9,94499.81%9,92500019
France8,49499.78%8,47500019
China7,36399.88%7,3540009
Japan3,30887.00%02,87842406
Brazil2,80288.19%02,47132902
Australia2,12482.25%01,74737502
India2,11469.39%01,46764700
Poland2,04491.10%01,86217606
Syria2,04060.98%01,24479600
Argentina1,99086.68%01,72526104
Egypt1,95061.85%01,20673905
Germany1,92385.23%01,63928202
Pakistan1,82467.60%01,23358902
Belgium1,75088.34%01,54620202
Mexico1,72588.87%01,53318903
Colombia1,66685.59%01,42623208
Spain1,62988.09%01,43519400
Italy1,60982.85%01,33327105
Norway1,53381.93%01,25627700
Peru1,53290.27%01,38314801
Nigeria1,52585.11%01,29822007
Netherlands1,51380.24%01,21429702
Ukraine1,51074.24%01,121378011
Canada1,38770.37%097640902
Jordan1,38568.59%095043104
Malaysia1,34180.39%01,07826300
Indonesia1,30669.22%090440002
South Africa1,30173.64%095833706
Turkey1,28846.12%059469301
South Korea1,20777.13%093127600
Ecuador1,19590.63%01,08311002
Chile1,17885.23%01,00417103
Sweden1,15186.79%099914804
New Zealand1,12881.29%091721001
Bolivia1,10496.74%01,0683600
Gabon1,09597.81%01,0712202
Switzerland1,07381.55%087519008
Ghana1,05292.40%09727703
Ireland1,04084.90%088315502
Malta1,02295.40%09754601
Albania1,00690.16%09079900
Denmark99989.89%089810100
United Arab Emirates98885.32%084314401
Uruguay96186.26%082913101
Lebanon95454.82%052342902
Yugoslavia94956.16%0533398018
Kuwait93780.58%075518200
Portugal91670.52%064626901
Venezuela91280.26%073217901
Ivory Coast86587.86%076010500
Senegal86180.95%069716004
Vietnam84781.46%069015700
Algeria84669.74%059025501
Slovenia83383.43%069513701
Mozambique82889.49%07418502
Greece80358.16%046733501
Morocco79154.24%042936002
Sierra Leone75878.10%059216402
Uganda75583.97%063411704
Ethiopia74780.99%060514200
Kenya73779.65%058714703
Rwanda72474.31%053817907
Tunisia71068.87%048921902
Guyana70993.37%06624700
Libya70861.16%043327500
Bangladesh70462.50%044026103
Angola67779.03%053514002
Cuba67542.07%028439001
Iran66716.94%011355301
Panama66490.06%05986303
Democratic Republic of the Congo65662.35%040924205
Philippines63872.88%046517300
Iraq61241.67%025535601
Romania61065.41%039921001
Sudan60135.94%021638500
Kazakhstan58775.47%044314202
Austria58674.57%043714603
Lithuania58086.90%05047105
Bulgaria57280.59%046111001
Mali57178.81%045012001
Jamaica56591.33%05164900
Burkina Faso56292.53%05204002
Guinea56183.60%04699101
Costa Rica55575.68%042013203
Equatorial Guinea53097.74%05181101
Benin52487.02%04566701
Tanzania52277.39%040411800
Croatia51363.16%032418702
Cameroon50494.64%04772502
Congo48988.96%04355301
Dominican Republic47887.03%04166002
Azerbaijan47374.63%035312000
Singapore45885.15%03906800
Zambia45478.41%03569206
Qatar45255.75%025219901
Guatemala45156.76%025619401
Namibia43078.37%03379102
Mauritius42789.93%03844300
Luxembourg42476.65%03259900
Somalia41858.85%0246160012
Niger40194.26%03782300
Estonia39070.00%027311205
Hungary38973.26%028510301
Bosnia and Herzegovina38355.09%021116606
Chad38387.47%03354701
Togo37793.90%03542300
Thailand34055.59%018915100
Botswana32165.73%021111000
Nicaragua32165.73%021110604
Slovakia32064.69%020711102
Yemen27934.05%09518400
Zimbabwe26567.55%01798402
Sri Lanka25751.75%013312301
Nepal24662.60%01549200
Czech Republic24474.18%01816300
Bahrain23756.12%013310400
Trinidad and Tobago23188.31%02042700
Gambia23092.17%02121800
Honduras22977.29%01775101
Oman22584.89%01913400
Finland22458.04%01309301
Burundi22347.53%010611502
Cape Verde20394.09%01911200
Djibouti19969.85%01395703
Liberia19938.19%07612102
German Democratic Republic19868.69%01366200
Czechoslovakia18879.26%01493900
Mauritania18464.13%01186402
Madagascar18176.80%01394101
Guinea-Bissau16770.66%01184900
German Federal Republic15676.28%01193700
Paraguay14881.08%01202800
St. Vincent and the Grenadines12892.97%0119900
Belarus11240.18%0456601
Yemen People's Republic9356.99%0534000
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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Which words are more frequent in this affiliation's speeches than in the comparison speeches?

Computed from the record

9,937 paired speeches out of 11,318 (87.80% of its record) · 5,225,468 words against 4,299,810 in the comparison set · pairing reduced the largest differences by 8.55 on the log-ratio scale

Keywords for Russia, against a matched control
WordLog ratioThis speakerCompared withG²Speeches / meetingsSpread (DP)
kyiv’s+8.10 [+7.07, +8.10]1670201106 / 970.97
maidan+7.76 [+4.42, +7.76]132015972 / 680.98
washington’s+7.75 [+6.75, +7.75]1310157101 / 1010.97
anti-russian+7.39 [+6.42, +7.46]102012279 / 780.97
tel-aviv+6.95 [+5.91, +6.95]7509019 / 111.00
al-tanf+6.67 [+6.64, +6.67]6207453 / 530.99
colonizers+6.51 [+5.49, +7.51]111112340 / 400.98
non-albanian+6.42 [+6.41, +6.45]5206235 / 350.99
pristina’s+6.33 [+6.26, +6.36]4905931 / 310.99
russophobic+6.33 [+5.33, +6.42]4905938 / 360.99
favouritism+6.21 [+4.20, +6.23]4505427 / 250.99
militaristic+6.21 [+4.15, +6.21]4505437 / 370.99
gorbachev+6.15 [+4.11, +6.15]4305235 / 330.99
patrons+6.11 [+4.46, +6.11]8419265 / 650.97
salazar+6.11 [+2.51, +6.11]4205016 / 140.99
verkhovna+6.04 [+5.03, +6.04]4004828 / 250.99
west’s+6.02 [+5.99, +7.02]7918665 / 650.98
canonical+5.93 [+5.89, +5.93]3704419 / 170.99
neocolonial+5.93 [+5.90, +5.97]3704437 / 370.99
sahara-sahel+5.93 [+4.90, +5.93]3704425 / 251.00

Most frequent agenda categories

The comparison matches on these agenda categories. Russia spoke on 611 categories; 16.45% of its speeches concerned the three most frequent.

  • The situation in the Middle East
  • The Palestine question
  • Admission of new Members
  • The situation in the Middle East, including the Palestinian question
  • Maintenance of international peace and security
  • 603 further items

Bar length shows the size of the difference, not the confidence in it. Colour shows which way the difference runs.

Source

12_speaker_keyness.py → countries/speaker_keyness.json

Download

Who is not here

  • 560 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.
  • 4 were paired and then held back. Select one to see its matching coverage and the reason its table is withheld: Palestine Liberation Organization (42.96%),Georgia (82.54%),St. Vincent and the Grenadines (94.53%),United Nations (34.23%).
  • 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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