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 44 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | malmø
1.3k
|
1.3k | Copy |
| 2 | #HIBFCM
below 10k
|
below 10k | Copy |
| 3 | Brumado
below 10k
|
below 10k | Copy |
| 4 | måne
below 10k
|
below 10k | Copy |
| 5 | Wass
below 10k
|
below 10k | Copy |
| 6 | Hamas
457k
|
457k | Copy |
| 7 | #Midtjylland
below 10k
|
below 10k | Copy |
| 8 | Paris
132k
|
132k | Copy |
| 9 | frankrig
below 10k
|
below 10k | Copy |
| 10 | birk
below 10k
|
below 10k | Copy |
| 11 | Sunderland
17k
|
17k | Copy |
| 12 | Højlund
11k
|
11k | Copy |
| 13 | nørrebro
below 10k
|
below 10k | Copy |
| 14 | Powell
193k
|
193k | Copy |
| 15 | Island
106k
|
106k | Copy |
| 16 | Watkins
7k
|
7k | Copy |
| 17 | Saudi
59k
|
59k | Copy |
| 18 | Sydney Sweeney
175k
|
175k | Copy |
| 19 | utroligt
below 10k
|
below 10k | Copy |
| 20 | Saka
40.8k
|
40.8k | Copy |
| 21 | Ukrainians
15.2k
|
15.2k | Copy |
| 22 | Holocaust
60.5k
|
60.5k | Copy |
| 23 | Palæstina
3.3k
|
3.3k | Copy |
| 24 | $NVO
2.1k
|
2.1k | Copy |
| 25 | Democrats
277k
|
277k | Copy |
| 26 | #MUFC
36k
|
36k | Copy |
| 27 | #sortepenge
below 10k
|
below 10k | Copy |
| 28 | Bischoff
below 10k
|
below 10k | Copy |
| 29 | #Brøndby
below 10k
|
below 10k | Copy |
| 30 | Netanyahu
142k
|
142k | Copy |
| 31 | Novo Nordisk
10.6k
|
10.6k | Copy |
| 32 | jeps
below 10k
|
below 10k | Copy |
| 33 | vestbredden
below 10k
|
below 10k | Copy |
| 34 | Christ
78.1k
|
78.1k | Copy |
| 35 | Sesko
56.5k
|
56.5k | Copy |
| 36 | kender
below 10k
|
below 10k | Copy |
| 37 | i danmark
below 10k
|
below 10k | Copy |
| 38 | conrad
42k
|
42k | Copy |
| 39 | Mener
2.2k
|
2.2k | Copy |
| 40 | Coventry
2.3k
|
2.3k | Copy |
| 41 | jungkook
193k
|
193k | Copy |
| 42 | Incredible
146k
|
146k | Copy |
| 43 | moderaterne
below 10k
|
below 10k | Copy |
| 44 | danskerne
below 10k
|
below 10k | Copy |
| 45 | DeFi
296k
|
296k | Copy |
| 46 | Rashford
37.4k
|
37.4k | Copy |
| 47 | københavn
below 10k
|
below 10k | Copy |
| 48 | Hungary
15.3k
|
15.3k | Copy |
| 49 | Luna
97k
|
97k | 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.