Observatory

YOUPOL / Explore

Themes and arguments.

The arguments put forward or contested in the videos, grouped by theme and by period. Our local model draws them from a sample of political sentences, then they are checked against the sentences; each quote links back to its video.

The theme

Tradition

Political sentences about tradition: values, customs, family models, heritage.

Reliability of the classifier 0.91F1 0.70checked precision The method

Period

Last 7 days Last 3 months* 2026* 2025* 2024* 2023 2022* 2021* 2020* 2019* 2018* 2009–2017*

The last seven days are read again every day. * provisional: part of the period’s videos are still to be transcribed. Greyed out: reading pending.

1,015
political sentences on the theme: 189
sentences read

Waiting for our local model

Content in preparation: it will appear here as soon as it is ready.

The sample is ready: 189 sentences drawn by orientation, channel and video. The reading takes place during the project’s computing slots; next slot tonight at 00:30. Meanwhile, the theme’s clearest sentences are shown below.

The theme in a typical video

Far right 6.6% 64 videos
Left 3.1% 37 videos
Manosphere 7.8% 8 videos
Conspiracism 1.4% 2 videos
Culture 0.0% 1 videos

Mean share, per video, of the political sentences on the theme; each video counts once, from 20 political sentences.

Where the theme’s sentences come from

Far right 64% 653 sentences
Left 29% 295 sentences
Manosphere 6% 57 sentences
Conspiracism 1% 8 sentences
Libertarianism <1% 2 sentences

This split follows the size of each orientation’s corpus: it describes the channel selection, not the weight each side gives the theme.

Arguments come from a sample shared by the territories. Only excerpts from channels in the selected country and their associated arguments are kept here; counts are recalculated.

While the reading is pending

What the videos say, sentence by sentence.

The sentences the classifier ties most clearly to the theme, taken from different orientations and channels; each one comes out of its video, which opens in a side panel.

« En même temps, l'Église a cette voix importante à porter en matière de charité, d'accueil. Et en même temps, est-ce que vous pouvez nous évoquer cet équilibre qui est la voix de l'Église sur la possibilité aussi au peuple de préserver leur propre culture ? »
« Ils sont partout, après, traditionnellement, et ça, il y a eu l'expérience de toutes les guerres depuis 78, 82, 2006, etc. Lorsqu'il y a des cessez-le-feu, »
« Vous voyez, tout ce que je vous ai montré là, quand je cite les bases culturelles de l'éthique juive, Il a fallu les saper, typiquement en m'invoquant à Malek, en disant que derrière chaque palestinien se cache quelqu'un qui veut exterminer tous les juifs. »
« Et pour moi, c'est aussi l'un des dégâts du féminisme 2.0. A force de vouloir déconstruire les hommes, on finit par abîmer les hommes, les femmes, les relations et derrière eux, les enfants et toute la société. »
« La foi à la famille et la tradition nationale... Les coutumes et la foi qui évoluent lentement, vivre et laisser vivre, égalité, diversité et droit civique, tradition et ordre sans religion, la foi au service de la justice. »
« Il émet juste une interrogation sur le fait que les autres religions ne sont pas traitées de la même manière à la TV française. C'est normal, le christianisme est chez lui en France. »

The videos

Where the theme weighs most.

Videos of the last four months, ranked by the share of their political sentences the classifier assigns to the theme; each record opens in a side panel.

The percentage is the share of the video’s political sentences assigned to the theme (at least 20 political sentences and 5 on the theme).

The periods

The theme, year by year.

Political sentences on the theme by period; click a period to show it. The number also depends on the share of videos transcribed, which varies a lot from year to year.

568 2009–2017* 495 2018* 807 2019* 1.5k 2020* 4.5k 2021* 6.2k 2022* 8.5k 2023 10.5k 2024* 5.3k 2025* 3.5k 2026*

How the arguments are drawn

The theme’s political sentences are drawn at random by period, with quotas per orientation and a cap per channel and per video. Our local model reads the sentences without knowing their channel or orientation, groups those making the same argument, separates those reporting it in order to contest it and sets aside those off the theme. Orientation shares and quotes come from the sentences, never from the model. The last seven days are read again every day.

The detail in the method