A Twitter Analysis on Information and Disinformation on the Arctic Region

Please note that the version of the application available to the public only focuses on the last four months ( from 2022-09-01 to 2023-02-28 ).

Number of unique Tweets available in the application with your current selection:


To access our full database ( from 2020-01-01 to 2023-02-28 ), please contact Mathieu Landriault or Jean-François Savard.

To navigate the application, please use the sidebar menu.

To interact with the database and obtain results in real-time, you can open the option menu to change the default settings.

Team Members

Mathieu Landriault École nationale d'administration publique
Jean-Francois Savard École nationale d'administration publique
Isabelle Caron Dalhousie University
Alexandre Millette École nationale d'administration publique
Gabrielle LaFortune Université d'Ottawa
Aileen A. Espiritu Arctic University of Norway
Gregory A. Poelzer Luleå University of Technology
Julie Renaud Université du Québec à Montréal

Our Partners

Observatoire de la politique et la sécurité de l'Arctique
Observatoire des administrations publiques autochtones
Relations internationales et Francophonie
Mobilizing Insights in Defence and Security (MINDS)
Nordic Council of Ministers
The Arctic University of Norway
Luleå University of Technology

All Tweets were collected using the API credentials of Observatoire de la politique et la sécurité de l'Arctique (OPSA)

Generating the PCA might take several minutes, please wait ...

Interpretation Correlation Circle

Arrows : When the arrows are close to each others, it means there is a positive correlation

When the arrows point in opposite direction, it means there is a negative correlation

When the arrows are perpendicular to each other, it means there is no / a weak correlation

Furthermore, the length of the arrows inform us of the strength of the correlation. The shorter the arrows, the lower the correlations

The coefficient of determination table enables us to select only relevant variables for each component. Usually, only the variables with a cos^2 above the average are retained.


The PCA analysis has been performed with a made-up dictionary built by the team. Therefore, there is some subjectivity in the words and thematics. You can find the exhaustive list below :

Environment : Amplification, carbon emission, climate change, climate crisis, climate emergency, cold, environment, glacier, greenhouse, ghg, heat, heatwave, ice, iceberg, ice cap, ice sheet, ipcc, melt, melting, methane, mountain, permafrost, rain, shelf, shelves, snow, temperature, thaw, warming, wildfire

Animals / Nature: animal, aurora, bear, borealis, ecosystem, fox, grizzly, habitat, jellyfish, narwhal, nature, pizzly, reindeer, seabirds, seal, shark, sled dog, squirrel, tern, whale, wildlife, wolf

Military / Security : airbase, airforce, army, attack, battalion, bomber, command, drill, fighter jet, f35, general, invasion, jet, military, military base, military exercise, mod, nato, navy, norad, power, radar, sea route, security, sovereign, sovereignty, subs, submarine, surveillance, transportation, war

Natural resources : blue economy, cod, drilling, energy, extraction, fisheries, fossil fuel, gas, haddock, LNG, mine, natural resources, offshore, oil, resource claims, resources

Diplomacy : agreement, alliance, ambassador, arctic council, consulate, cooperation, counterpart, diplomacy, diplomatic, leader, minister, ministerial, partnership, president, secretary, treaty

Indigenous : aboriginal, first nations, icc, indigenous, inuit, inuk, itk, residential school, saami, sami