Who said it

Each delegation measured against its own record: what share of its own speeches used this vocabulary, rather than how often it turns up in the corpus overall. Of 601 speakers, 133 spoke often enough for that share to mean anything.

Speakers by rate

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

Map

Loading the background map…

The radius of a circle carries the rate, not its area. Read the table for the numbers.

Source

11_countries.py → countries/countries.json

Download

The CSV holds every row behind this figure, not only what is drawn on screen, and each file names the script and word-list version that produced it.

The table behind the map

The same 133 rows, in the same order. The table is the main presentation and the map is a way into it: a circle cannot be reached by keyboard or read aloud by a screen reader, and a row can.

Speakers ranked by share of its speeches for genocide, 1992-2023
SpeakerGroupSpeechesUsing the termSharePer 100,000 words
Eastern European Group1243528.23%100.53
African Group69718726.83%243.74
Western European and Others Group2174621.20%35.06
Eastern European Group4045613.86%30.81
Civil society1351813.33%27.41
COD*African Group1732313.29%14.74
Asia-Pacific Group2463213.01%16.79
Asia-Pacific Group1501912.67%17.39
SRB*Eastern European Group1771910.73%13.54
African Group236239.75%17.61
Eastern European Group308299.42%20.60
Eastern European Group461439.33%20.72
Latin American and Caribbean Group233198.15%12.64
Eastern European Group478387.95%18.01
Western European and Others Group430337.67%17.11
Western European and Others Group388287.22%25.72
African Group10976.42%15.29
Western European and Others Group686446.41%12.72
Asia-Pacific Group191126.28%10.87
African Group319206.27%11.60
African Group266166.02%12.68
Intergovernmental organisation882515.78%6.89
Asia-Pacific Group457265.69%10.91
Eastern European Group14185.67%10.72
Asia-Pacific Group602345.65%10.63
Latin American and Caribbean Group448255.58%11.28
Western European and Others Group983545.49%10.61
Latin American and Caribbean Group680375.44%13.70
Latin American and Caribbean Group16695.42%14.57
Western European and Others Group334185.39%11.07
Western European and Others Group207115.31%33.11
State248135.24%5.15
Eastern European Group560274.82%23.97
United Nations4,7092274.82%7.73
Latin American and Caribbean Group297144.71%8.72
African Group439204.56%6.24
African Group510234.51%9.36
Latin American and Caribbean Group752334.39%9.69
Asia-Pacific Group712314.35%5.94
Western European and Others Group332144.22%16.01
Asia-Pacific Group21694.17%8.59
Eastern European Group962404.16%15.49
African Group19684.08%7.10
Latin American and Caribbean Group1,329544.06%12.10
African Group326133.99%7.52
Latin American and Caribbean Group23493.85%8.17
Western European and Others Group694263.75%9.17
Asia-Pacific Group1,205453.73%10.02
Asia-Pacific Group408153.68%6.80
Western European and Others Group867313.58%9.96
African Group592213.55%6.40
African Group347123.46%22.11
African Group586203.41%5.99
African Group823273.28%7.63
African Group12243.28%9.03
African Group590193.22%7.74
Western European and Others Group373123.22%8.10
Western European and Others Group995323.22%9.58
Eastern European Group591193.21%9.61
Western European and Others Group596193.19%6.54
Asia-Pacific Group416133.13%7.05
Asia-Pacific Group740222.97%6.34
Western European and Others Group5,4841632.97%10.92
African Group24272.89%7.30
Latin American and Caribbean Group1,102312.81%9.23
Asia-Pacific Group14342.80%2.30
Asia-Pacific Group914252.74%8.98
Asia-Pacific Group18952.65%11.80
Intergovernmental organisation26672.63%2.39
Western European and Others Group838222.63%11.42
Western European and Others Group4,9731272.55%7.79
Western European and Others Group825212.55%5.41
Latin American and Caribbean Group1,412352.48%5.67
Latin American and Caribbean Group450112.44%4.65
Western European and Others Group37192.43%4.78
Western European and Others Group793192.40%8.75
Latin American and Caribbean Group628152.39%7.29
Western European and Others Group429102.33%3.74
African Group25862.33%3.79
Asia-Pacific Group774182.33%5.60
African Group529122.27%4.81
African Group40492.23%5.51
Asia-Pacific Group676152.22%6.82
Asia-Pacific Group40792.21%6.77
Western European and Others Group922202.17%5.31
African Group659142.12%6.30
Latin American and Caribbean Group962202.08%8.81
Western European and Others Group33872.07%5.00
African Group1,114232.06%9.35
Latin American and Caribbean Group10022.00%1.69
African Group603121.99%3.99
Asia-Pacific Group10221.96%2.60
African Group529101.89%6.93
African Group43781.83%7.00
Latin American and Caribbean Group38571.82%6.58
Western European and Others Group1,928351.82%5.74
Asia-Pacific Group944171.80%4.22
Western European and Others Group5,518941.70%6.29
Western European and Others Group1,352231.70%6.83
Latin American and Caribbean Group55091.64%3.47
Western European and Others Group688111.60%3.12
Western European and Others Group1,001161.60%5.26
African Group32051.56%4.38
African Group1,347211.56%2.91
African Group25741.56%4.95
African Group974151.54%2.59
African Group52281.53%3.04
African Group46371.51%6.33
Western European and Others Group889131.46%4.16
Western European and Others Group27641.45%4.91
Latin American and Caribbean Group856121.40%2.74
Latin American and Caribbean Group753101.33%3.54
African Group948121.27%5.54
Western European and Others Group1,121141.25%3.40
Asia-Pacific Group1,208151.24%3.13
Latin American and Caribbean Group1,937231.19%3.01
Asia-Pacific Group1,371161.17%2.75
Western European and Others Group44940.89%2.65
Asia-Pacific Group47140.85%1.55
Western European and Others Group5,101430.84%2.30
African Group36230.83%2.44
Asia-Pacific Group13710.73%1.93
African Group14810.68%0.79
African Group33420.60%0.87
African Group35120.57%3.16
African Group18010.56%1.17
Asia-Pacific Group2,055110.54%1.16
Asia-Pacific Group58530.51%1.13
Asia-Pacific Group4,737200.42%1.37
Asia-Pacific Group97640.41%0.91
African Group31910.31%0.61
African Group12700.00%0.00
African Group13000.00%0.00

Who held a seat when they spoke

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

seated in some years, not in others
P5seatE10seatNon-member stateUNNon-state
Speakers by the positions they held when speaking, 1992-2023
SpeakerSpeechesFrom a seatP5E10Non-member stateUNNon-state
Japan2,05577.96%01,60245300
Brazil1,93782.55%01,59933800
Germany1,92886.62%01,67025800
Mexico1,41287.68%01,23817400
India1,37172.72%099737400
Spain1,35288.54%01,19715500
South Africa1,34777.06%01,03830900
Argentina1,32981.34%01,08124800
Indonesia1,20873.76%089131700
Pakistan1,20568.46%082538000
Norway1,12175.65%084827300
Nigeria1,11484.47%094117300
Peru1,10285.12%093816400
Poland1,00184.92%085015100
Belgium99584.42%084015500
Ukraine98364.60%063534800
Viet Nam97689.86%08779900
Egypt97461.40%059837600
Albania96292.31%08887400
Chile96283.16%080016200
Gabon94898.84%09371100
United Arab Emirates94485.49%080713700
Italy92271.80%066226000
Malaysia91473.30%067024400
Sweden88988.19%078410500
Netherlands86778.66%068218500
Colombia85673.48%062922700
New Zealand83876.73%064319500
Ireland82585.33%070412100
Ghana82394.90%07814200
Turkey79343.38%034444900
South Korea77461.89%047929500
Bolivia (Plurinational State Of)75396.15%07242900
Uruguay75282.71%062213000
Kuwait74085.41%063210800
Syria71232.44%023148100
Rwanda69775.18%052417300
Australia69453.75%037332100
Portugal68871.66%049319500
Canada68642.27%029039600
Venezuela (Bolivarian Republic Of)68074.26%050517500
Jordan67672.78%049218400
Kenya65982.55%054411500
Ecuador62878.03%049013800
Cote D'ivoire60383.91%05069700
Bangladesh60257.97%034925300
Switzerland59661.58%036722900
Tunisia59279.39%047012200
Estonia59182.57%048810300
Angola59085.93%05078300
Morocco58650.00%029329300
Kazakhstan58575.73%044314200
Lithuania56088.75%04976300
Dominican Republic55092.91%05113900
Ethiopia52979.40%042010900
Uganda52982.99%04399000
Equatorial Guinea52298.66%0515700
Senegal51081.96%04189200
Azerbaijan47871.34%034113700
Lebanon47159.87%028218900
Niger46397.19%04501300
Croatia46160.95%028118000
Guatemala45055.78%025119900
Malta44985.97%03866300
Costa Rica44869.20%031013800
Libya43961.05%026817100
Mozambique43789.24%03904700
Austria42971.79%030812100
Singapore41684.86%03536300
Qatar40852.70%021519300
Philippines40763.88%026014700
Bosnia and Herzegovina40451.49%020819600
Namibia40475.00%030310100
Luxembourg38881.19%03157300
Jamaica38591.95%03543100
Denmark37377.48%02898400
Romania37176.82%02858600
Guinea36293.65%03392300
Mali35172.93%02569500
Chad34792.22%03202700
Greece33877.22%02617700
Cameroon33497.90%0327700
Slovak Republic33458.98%019713700
Hungary33277.71%02587400
Algeria32652.45%017115500
Burkina Faso32090.94%02912900
Togo31996.24%03071200
Slovenia30854.87%016913900
Saint Vincent And The Grenadines29797.31%0289800
Bulgaria27684.42%02334300
Botswana26671.43%01907600
Mauritius25896.12%02481000
Benin25784.44%02174000
Congo24292.15%02231900
Tanzania23671.19%01686800
Panama23482.91%01944000
Bahrain21654.17%01179900
Czech Republic20779.23%01644300
Djibouti19671.43%01405600
Oman18987.30%01652400
Gambia18091.67%01651500
Honduras16684.94%01412500
Guinea-Bissau14870.27%01044400
Cape Verde12791.34%01161100
Zimbabwe9939.39%0396000
What the five positions mean

The UN Charter provides two kinds of Council membership: five permanent members (P5) and ten elected ones (E10). A speech counts as 'seated' when its speaker held one of those places in the year it was delivered. The other three groups are not a single category: a non-member state was simply not on the Council that year, the UN Secretariat never can be, and a non-state speaker was invited to address it. All five counts are published separately so that distinction survives, and together they add up to every speech that speaker gave.

A row is a mixture, not a single label. Width is the share of that speaker's own speeches.

Source

11_countries.py → countries/countries.json

Download

The CSV holds every row behind this figure, not only what is drawn on screen, and each file names the script and word-list version that produced it.

What a delegation says that the room does not

With the debate held constant, which words set one speaker's language apart from everybody else's?

4,763 paired speeches out of 5,101 (93.37% of its record) · 2,520,462 words against 2,353,382 in the comparison set · pairing reduced the largest differences by 0.39 on the log-ratio scale

Keywords for Russian Federation, against a matched control
WordLog ratioThis speakerCompared with
russian*+1.93 [+1.91, +2.06]4,8501,1902,135
western+3.48 [+3.25, +3.63]2,0431711,739
kyiv+4.51 [+4.19, +4.99]1,410581,456
federation*+2.27 [+2.13, +2.41]2,0964071,135
situation+0.89 [+0.87, +0.93]7,3873,718997
believe+1.33 [+1.33, +1.54]3,2221,194833
convinced+3.12 [+2.94, +3.34]985106758
settlement+1.33 [+1.19, +1.33]2,9051,083744
ukrainian+1.69 [+1.69, +1.92]1,932560708
problems+1.74 [+1.67, +1.90]1,832511702
colleagues+1.91 [+1.91, +2.10]1,606399698
attempts+2.65 [+2.51, +2.78]946141614
unfortunately+2.25 [+2.09, +2.52]1,073210577
note+1.29 [+1.22, +1.38]2,342895575
so-called+2.85 [+2.60, +2.93]805104567
fact+1.39 [+1.36, +1.52]2,004715551
russia+0.88 [+0.78, +1.00]3,7911,929496
donbas+3.58 [+3.40, +4.26]50039436
military+0.92 [+0.79, +0.92]2,9271,440420
country+0.71 [+0.65, +0.79]4,2402,420387

2 of the 20 rows drawn are the speaker naming itself.

What it was heard on

The pairing holds the agenda item constant, so this is what was held constant. Russia spoke on 90 items, and 22.43% of its speeches fell on its three commonest.

  • Israel/Palestine
  • Syria
  • Maintenance Of International Peace And Security
  • Ukraine
  • Afghanistan
  • 82 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

The CSV holds every row behind this figure, not only what is drawn on screen, and each file names the script and word-list version that produced it.

Who is not here

  • 468 speakers were never paired at all. They delivered fewer than 100 speeches, so no comparison could be built. They appear here as a number rather than a list, because there is nothing to show.
  • 7 were paired and then held back. Unlike the group above, each of these has a figure a reader can weigh, so they stay in the picker and give their reason when selected: Somalia (50.00%),Cape Verde (55.91%),Yemen (50.35%),Haiti (90.00%),Sierra Leone (80.33%),UN (2.61%),European Union (49.77%).
  • A distinctive word is not a position. A word appears here because this speaker used it at a different rate from comparable speakers on the same occasion. That is not a position, a policy or a belief, and it says nothing about whether the speaker approved or objected. A delegation that names a conflict often may be prosecuting it, deploring it, or chairing the debate about it. Read the record instead

What this table will not tell you

  • 468 speakers have no rate at all. A speaker gets no rate for any period in which it delivered fewer than 100 speeches. That threshold is the point at which a zero starts to mean something: across the corpus as a whole, 3.08% of speeches use this vocabulary, so seeing none of it in fewer than 96 speeches is exactly what the Council average would predict. The counts are published either way, because a count is a fact and a rate is an estimate.
  • 4 of the ranked speakers appear on no map. Civil Society, European Union, UN, African Union are not states and have no place on a globe. They are in the table and missing from the figure above, on purpose.
  • COD is shared by 2 speakers. Democratic Republic Of The Congo, Zaire carry the same country code, because using a successor state's code is the only way to place a historical state on a map at all. They are never merged: a combined total would belong to no state that ever spoke.
  • SRB is shared by 3 speakers. Serbia, Serbia And Montenegro, Yugoslavia carry the same country code, because using a successor state's code is the only way to place a historical state on a map at all. They are never merged: a combined total would belong to no state that ever spoke.
  • A country's map position is not where anyone spoke. A country's position on this map is a way of finding it, nothing more. It does not locate the speaker: every speech in this corpus was delivered in the Security Council chamber in New York.
  • The shaded map is built on territory; the table is built on the speaker. Shading needs a country code, so it inherits everything a code cannot carry: a historical speaker appears inside its successor's borders, a large state draws the eye for being large, and 0 delegations have no outline at this scale and are marked with a dot. Where two measurable speakers share a code, the country is outlined and left blank rather than given one of their two rates. The circles and this table carry none of these problems.
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