Our platform stores and analyzes X (Twitter) data to provide you with valuable insights on the latest trends and help you stay up-to-date with the audience. Discover what's currently trending, track trend history(30 days), and explore popular hashtags and topics over the long term.
Here are the current top X (Twitter) trending topics Denmark, as of 31 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | Nørrebro
below 10k
|
below 10k | Copy |
| 2 | Malmø
1.5k
|
1.5k | Copy |
| 3 | Luna
82.1k
|
82.1k | Copy |
| 4 | Novo Nordisk
3.4k
|
3.4k | Copy |
| 5 | Coventry
1.8k
|
1.8k | Copy |
| 6 | Garnacho
15k
|
15k | Copy |
| 7 | Binks
below 10k
|
below 10k | Copy |
| 8 | Starmer
424k
|
424k | Copy |
| 9 | Watkins
34.8k
|
34.8k | Copy |
| 10 | Alves
5k
|
5k | Copy |
| 11 | francu
below 10k
|
below 10k | Copy |
| 12 | Qatar
52.2k
|
52.2k | Copy |
| 13 | elsker
below 10k
|
below 10k | Copy |
| 14 | jungkook
235k
|
235k | Copy |
| 15 | #politidk
below 10k
|
below 10k | Copy |
| 16 | Kosovo
3.9k
|
3.9k | Copy |
| 17 | Steffen Højer
below 10k
|
below 10k | Copy |
| 18 | Ursula
49.8k
|
49.8k | Copy |
| 19 | #dkbiz
below 10k
|
below 10k | Copy |
| 20 | Folketinget
below 10k
|
below 10k | Copy |
| 21 | Henrik
1.8k
|
1.8k | Copy |
| 22 | Benfica
17k
|
17k | Copy |
| 23 | #Midtjylland
below 10k
|
below 10k | Copy |
| 24 | Trumps
57.8k
|
57.8k | Copy |
| 25 | Spain
42.8k
|
42.8k | Copy |
| 26 | Sjovt
below 10k
|
below 10k | Copy |
| 27 | Dean
27.7k
|
27.7k | Copy |
| 28 | Newcastle
44k
|
44k | Copy |
| 29 | North Korea
19.6k
|
19.6k | Copy |
| 30 | Manden
11k
|
11k | Copy |
| 31 | Tænk
below 10k
|
below 10k | Copy |
| 32 | Sesko
41.5k
|
41.5k | Copy |
| 33 | #Investing
25k
|
25k | Copy |
| 34 | #transferdk
below 10k
|
below 10k | Copy |
| 35 | Discord
206k
|
206k | Copy |
| 36 | Schmedes
below 10k
|
below 10k | Copy |
| 37 | Jesus
272k
|
272k | Copy |
| 38 | Von der Leyen
84.6k
|
84.6k | Copy |
| 39 | Tariffs
156k
|
156k | Copy |
| 40 | Tusind
below 10k
|
below 10k | Copy |
| 41 | European
96.4k
|
96.4k | Copy |
| 42 | Jack
114k
|
114k | Copy |
| 43 | mads
2.9k
|
2.9k | Copy |
| 44 | Indien
1.5k
|
1.5k | Copy |
| 45 | Italy
45.4k
|
45.4k | Copy |
| 46 | Christianity
18.7k
|
18.7k | Copy |
| 47 | Hungary
11.2k
|
11.2k | Copy |
| 48 | Vestbredden
below 10k
|
below 10k | Copy |
| 49 | Western
129k
|
129k | Copy |
| Note: Trends refreshes every Hour . to view the Hourly trending Trends for last 24 hour click of Expand view button below | |||
Get real-time updates on the hottest trending hashtags and topics on X (Twitter) Denmark with our automated page. Our page utilizes the official X (Twitter) API to refresh the most talked-about hashtags and topics every 30 minutes, ensuring you always have access to the most current trends on the platform.
These trending hashtags and topics are also popular on other social media platforms like Instagram, YouTube, and Facebook. Bookmark our page to stay updated on what's trending on X (Twitter) Denmark .
X (Twitter) uses a combination of factors to determine the most popular and relevant trending topics on the platform. These include the number of tweets, the number of users tweeting about a topic, and the level of engagement on tweets related to the topic. The platform's algorithms also consider the user's location and language to display trends that are relevant to their specific region and language.
Trending topics on X (Twitter) are not influenced by personal opinions or paid promotions, but rather reflect the interests and conversations of the X (Twitter) community as a whole. The platform's algorithms are designed to identify topics that are popular among a wide range of users, rather than just a small group. Any attempts to artificially manipulate trending topics are strictly prohibited by Twitter's policies.
X (Twitter) 's trending algorithm is designed to identify significant increases in the popularity of a specific topic or hashtag, compared to its usual level of activity. To do this, the algorithm takes into account both the volume of tweets about the topic (the number of tweets) and the time it takes to generate that volume of tweets. Time is a critical factor in determining trends, as a topic that gradually builds in popularity over the course of a month may generate a large number of tweets after 30 days, but may not have experienced a sudden spike in activity that would qualify it as a trend. By considering both volume and time, X (Twitter) 's trending algorithm is able to identify trends that are both popular and relevant to the current conversation on the platform.