Trend · rank 79 of 250

Open-source intelligence & transparency

Commercial imagery, tracking data and online investigation are making concealment harder for states and firms, reducing the advantage of secrecy and raising the value of credible explanations for observable activity.

Information & InfluenceInformation & trustinformationspace geodata governance

Second pass: Carried forward from the first pass unchanged. Held by all three panel models.

Sensitivity and network position

Rank
79of 250
Sensitivity
14.2rank 49
Breadth
1of 20 scenarios High or above
PageRank
37.6rank 109
Eigenvector
17.1
Betweenness
13.6
Links
11trends at Moderate similarity or above
Composite
26.5

Attention over three years

How much this trend is read about on Wikipedia and searched for on Google, week by week, set against the typical trend in the list so that what moves every trend at once is taken out. 100 is this trend's own three-year average. The score measures public attention, which is not the same as the strength of the force: a trend can deepen unnoticed, and a news event can lift attention for a fortnight.

Now
112
Over a year
+17%Rising
Over three years
−7%
Peak
14415 Oct 2023
Sources
Bothagreement 0.12
Coverage
17languages · 73 nations

Trailing 4-week average. 100 is this trend’s three-year average.

By language

Wikipedia reading in each language edition where the trend’s pages are read enough to measure (17 of 28). Share is of all the readers counted.

LanguageShareNowOver a yearThree years
English55%124+32%
Russian10%102+4%
German7%107+7%
French5%124+10%
Japanese4%115+24%
Spanish4%129+17%
Polish3%97+4%
Ukrainian2%124+25%
Italian2%127+3%
Chinese2%100+5%
Portuguese2%90+9%
Hebrew1%71−19%
Arabic1%179+50%
Dutch1%133+38%
Korean1%103+21%
Turkish1%280+185%
Swedish0%148+64%

By country

Google search interest over the three years, as a share of each country’s searching. 100 is the nation where interest is highest. The search terms are English, which favours countries that search in English.

Jamaica

Netherlands

Ukraine

Singapore

France

Israel

Kenya

United Kingdom

China

Canada

United States

Azerbaijan

100

67

60

57

54

53

48

47

46

43

43

42

The 12 highest of 73 nations with a reading.

By region and G20 member

Attention to this trend inside each place, from Google searches made in its countries and Wikipedia reading in the languages mostly read there, averaged where both exist. Each line compares the trend with its own past in that place; the lines do not compare places.

Regions

PlaceRead fromNow90 days1 year3 yearsThree years
North AmericaGoogle in 2 countries + Wikipedia in English121+30%+28%+15%
EuropeGoogle in 9 countries + Wikipedia in German, French, Italian, Polish, Dutch, Swedish120+15%+11%+19%
Indo-PacificGoogle in 8 countries + Wikipedia in Japanese, Chinese, Korean122+10%+28%+24%
South AsiaGoogle in 3 countries230+88%+121%+174%
Gulf and Middle EastGoogle in 2 countries + Wikipedia in Arabic, Turkish, Hebrew152+63%+33%+41%
AfricaGoogle in 2 countries266+82%+131%+300%
Latin America and CaribbeanGoogle in 6 countries + Wikipedia in Spanish, Portuguese108+33%+7%−12%
Russia and EurasiaGoogle in 1 country + Wikipedia in Russian, Ukrainian116+16%+8%+62%

G20 members

PlaceRead fromNow90 days1 year3 yearsThree years
ArgentinaGoogle49+16%−24%−78%
AustraliaGoogle119+32%+25%−1%
BrazilGoogle + Wikipedia in Portuguese94+13%+5%−35%
CanadaGoogle127+44%+25%+14%
FranceGoogle + Wikipedia in French147+38%+29%+42%
GermanyGoogle + Wikipedia in German104+2%−5%+3%
IndiaGoogle227+114%+123%+136%
IndonesiaGoogle109+34%+4%−18%
ItalyGoogle + Wikipedia in Italian128+9%+5%+21%
JapanGoogle + Wikipedia in Japanese119+13%+17%+23%
South KoreaGoogle + Wikipedia in Korean104+23%+1%−6%
MexicoGoogle118+75%−21%−16%
RussiaWikipedia in Russian102−1%+4%+17%
South AfricaGoogle180+47%+100%+87%
TürkiyeGoogle + Wikipedia in Turkish205+122%+73%+136%
United KingdomGoogle100+21%−9%−10%
United StatesGoogle + Wikipedia in English120+29%+28%+13%

Relation to each scenario

A trend relates to a scenario when it changes how likely the scenario is, how hard it lands, or is itself sharply changed by it. Each score is the median of three scores given separately by the members of the model panel.

RelationScenarioFamily
4 · HighHybrid coercion ends in an infrastructure blackout S04Geopolitical and security
3 · ModerateA regional war closes a globally important sea route S03Geopolitical and security
2 · LowA disputed transfer of power breaks effective government S05Geopolitical and security
2 · LowA great-power agreement lowers economic security barriers S13 ↗Geopolitical and security
2 · LowA verified Middle East settlement restores access S14 ↗Geopolitical and security
1 · Very lowCritical trade divides into rival blocs S01Economic and trade
1 · Very lowA cross-regional market access compact redirects investment S12 ↗Economic and trade
1 · Very lowA public service platform reaches inclusive operation S18 ↗Technology and infrastructure
1 · Very lowA live outbreak proves rapid distributed pandemic defence S20 ↗Health
0 · Not relatedA global funding seizure reaches sovereign balance sheets S02Economic and trade
0 · Not relatedTwo breadbasket failures trigger a food availability crisis S06Energy, climate and resources
0 · Not relatedA major disaster disables the national economic core S07Energy, climate and resources
0 · Not relatedAn AI deployment step causes abrupt labour displacement S08Technology and infrastructure
0 · Not relatedA cryptographic breakthrough invalidates digital trust S09Technology and infrastructure
0 · Not relatedA novel respiratory pathogen exceeds health surge capacity S10Health
0 · Not relatedA creditor agreement releases fiscal capacity S11 ↗Economic and trade
0 · Not relatedCheap firm clean power becomes available at scale S15 ↗Energy, climate and resources
0 · Not relatedA validated farming package raises water-efficient output S16 ↗Energy, climate and resources
0 · Not relatedAI-directed research produces a reproducible discovery step S17 ↗Technology and infrastructure
0 · Not relatedAffordable preventive treatments reduce chronic illness S19 ↗Health

Similarity = 0.3 × shared tags (Jaccard) + 0.3 × likeness of scenario profiles (cosine) + 0.3 × likeness of names and descriptions (TF-IDF cosine) + 0.1 if in the same capability domain, cut into seven levels at 0.12, 0.22, 0.33, 0.45, 0.58, 0.72. Shown at Moderate and above.

SimilarityTrendThemeRank
4 · HighEarth observation & geospatial sensingInformation & trust198
3 · ModeratePublic communication in crisisInformation & trust10
3 · ModerateDecline of independent journalismInformation & trust29
3 · ModerateMisinformation & disinformationInformation & trust30
3 · ModerateSynthetic media & deepfakesInformation & trust87
3 · ModerateForeign information manipulationInformation & trust91
3 · ModeratePlatform power over public discourseInformation & trust99
3 · ModerateMedia provenance & authenticationInformation & trust100
3 · ModerateCensorship & surveillanceInformation & trust103
3 · ModerateAI-mediated information accessInformation & trust118
3 · ModerateReligious & identity nationalismInformation & trust122