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 14 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | Iran
2m
|
2m | Copy |
| 2 | #ultratwitteragf
below 10k
|
below 10k | Copy |
| 3 | Jakob Poulsen
below 10k
|
below 10k | Copy |
| 4 | Roony
5.9k
|
5.9k | Copy |
| 5 | løkke
below 10k
|
below 10k | Copy |
| 6 | Viborg
below 10k
|
below 10k | Copy |
| 7 | Moderaterne
below 10k
|
below 10k | Copy |
| 8 | Messi
609k
|
609k | Copy |
| 9 | Jon Stephensen
below 10k
|
below 10k | Copy |
| 10 | Newcastle
14.2k
|
14.2k | Copy |
| 11 | Konate
4.9k
|
4.9k | Copy |
| 12 | #sldk
below 10k
|
below 10k | Copy |
| 13 | Barcelona
116k
|
116k | Copy |
| 14 | Tucker
179k
|
179k | Copy |
| 15 | Amnesty
26.7k
|
26.7k | Copy |
| 16 | Højesteret
below 10k
|
below 10k | Copy |
| 17 | #fcklive
below 10k
|
below 10k | Copy |
| 18 | #kingrezapahlavi
47.8k
|
47.8k | Copy |
| 19 | #TACOTrump
2.6k
|
2.6k | Copy |
| 20 | Altså
below 10k
|
below 10k | Copy |
| 21 | Parken
below 10k
|
below 10k | Copy |
| 22 | White House
196k
|
196k | Copy |
| 23 | Afrika
7.1k
|
7.1k | Copy |
| 24 | Nico
128k
|
128k | Copy |
| 25 | Ted Cruz
114k
|
114k | Copy |
| 26 | Liverpool
102k
|
102k | Copy |
| 27 | Bitcoin
235k
|
235k | Copy |
| 28 | Folketinget
below 10k
|
below 10k | Copy |
| 29 | Ethereum
64.2k
|
64.2k | Copy |
| 30 | Isak
19.7k
|
19.7k | Copy |
| 31 | Premier League
31.6k
|
31.6k | Copy |
| 32 | DeFi
202k
|
202k | Copy |
| 33 | Mikkel
below 10k
|
below 10k | Copy |
| 34 | Aarhus
below 10k
|
below 10k | Copy |
| 35 | Syrien
3.5k
|
3.5k | Copy |
| 36 | Ungarn
4.6k
|
4.6k | Copy |
| 37 | Fonseca
3.8k
|
3.8k | Copy |
| 38 | USAs
2.8k
|
2.8k | Copy |
| 39 | Sarah
66.6k
|
66.6k | Copy |
| 40 | $DUST
below 10k
|
below 10k | Copy |
| 41 | Spain
59.2k
|
59.2k | Copy |
| 42 | Denmark
7.7k
|
7.7k | Copy |
| 43 | Khamenei
267k
|
267k | Copy |
| 44 | mette frederiksens
below 10k
|
below 10k | Copy |
| 45 | Ekstra Bladet
below 10k
|
below 10k | Copy |
| 46 | Simon
42.4k
|
42.4k | Copy |
| 47 | Switch 2
71.4k
|
71.4k | Copy |
| 48 | Vrøvl
below 10k
|
below 10k | Copy |
| 49 | Belarus
14.6k
|
14.6k | 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.