A visualization of the distribution of age groups among the participants. 18-34 year olds make up the largest share with 45%
Our sample approximates the Danish population in age, gender, and education, but is not representative. We only received data donations from people who use YouTube substantially. So, a lot of light YouTube-use and use from devices that are not logged into an account is not represented in our data.
29.04.2025 12:21 β π 2 π 0 π¬ 0 π 0
A bar chart showing that 13% of our participants subscribed to PewDiePie and 12.1% to MrBeast
PewDiePie and MrBeast are by far the most subscribed-to channels in our dataset. DRβs P3 Essensen is the only channel from a traditional Danish media organization that made it into the top 20.
29.04.2025 12:21 β π 1 π 0 π¬ 1 π 0
Table with the top 10 videos with widest reach among our participants. With 325 participants watching Rick Astley's Never Gonna Give You Up is the one watched by most participants.
You are never going to believe which video is the one watched by most of our participants!
www.youtube.com/watch?v=dQw4...
29.04.2025 12:21 β π 1 π 1 π¬ 2 π 0
Bar chart showing that nearly 80% of all analyzed videos with transcribable language were in English. Danish videos made up only 16.3% of them.
The most frequent language in the videos Danes watch on YouTube is English. We found almost 80% of the videos with detectable language to be in English and around 16% to be in Danish. These numbers must be taken with a grain of salt due to the way we measured it but they paint an undeniable picture.
29.04.2025 12:21 β π 0 π 0 π¬ 1 π 0
Table 11 of the report showing overview over the donated data.
All data donors combined have watched almost 19 million videos on YouTube over the course of the last 15 years. 3 million of these videos were advertisements.
29.04.2025 12:21 β π 0 π 0 π¬ 1 π 0
A study of this size necessarily is a team effort, and I was among those who dove into the donated data. Here are a few highlights of what we found.
The donated data contain watch histories, on-YouTube searches, subscriptions, and commenting behavior.
29.04.2025 12:21 β π 0 π 0 π¬ 1 π 0
title page of the report
We asked over 1000 Danes to donate their YouTube data to us and who they are, how they are doing, and how they view the world.
The report on how we went about this data donation study and what is in the donated data is out today! You can find it here: norden.diva-portal.org/smash/record...
29.04.2025 12:21 β π 3 π 0 π¬ 1 π 0
Ph.D. and postdoc positions in Data Science for epidemic preparedness at the NERDS research group
The NERDS (NEtwoRks, Data, and Society) team at the IT University of Copenhagen welcomes applications from aspiring PhD students and postdocs in the areas of Da
π¨ JOBS π¨Do you want to use you Data Science skills for the greater good?
Come and join the Data Science Section at ITU and the @nerdsitu.bsky.social group to work on Data Science for epidemic preparedness.
Both PhDs and postdoc positions are available.
candidate.hr-manager.net/ApplicationI...
21.03.2025 13:43 β π 7 π 10 π¬ 0 π 0
Hey @meredithmeredith.bsky.social do you have a written up version of your talk at 38C3 a couple of months ago available somewhere? π
10.03.2025 11:57 β π 3 π 0 π¬ 0 π 0
Question to the void: I have a bunch of Youtube video titles in multiple languages and want to see whether I can identify genres/themes among them.
Any recommendation on approaches/libraries to go with?
17.02.2025 18:40 β π 1 π 0 π¬ 0 π 0
There is no privacy without epistemic authority.
@meredithmeredith.bsky.social βs talk on love, facts and privacy is still reverberating as I return from an amazing #38c3
Thanks for a great congress, itself an example of the power that lies in privacy and the right to define your own story.
31.12.2024 14:23 β π 4 π 0 π¬ 2 π 0
That looks super cool! How long does it process an individual image on a gpu large enough for the model?
β¦asking for a friend with many, many images π
20.12.2024 17:39 β π 3 π 0 π¬ 1 π 0
Could you add me, too?
20.12.2024 07:15 β π 2 π 0 π¬ 1 π 0
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