Our platform stores and analyzes 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 Twitter trending topics Denmark, as of 31 minutes ago.
Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
---|---|---|---|
1 | Jaguar
340.8k
|
340.8k | Copy |
2 | Ukraine
992.7k
|
992.7k | Copy |
3 | Irak
11.8k
|
11.8k | Copy |
4 | Yi Peng 3
33.9k
|
33.9k | Copy |
5 | Rusland
below 10k
|
below 10k | Copy |
6 | #uddpol
below 10k
|
below 10k | Copy |
7 | Russia
859.8k
|
859.8k | Copy |
8 | Putin
424.9k
|
424.9k | Copy |
9 | hobi
94.4k
|
94.4k | Copy |
10 | Baltic Sea
26.9k
|
26.9k | Copy |
11 | Kattegat
below 10k
|
below 10k | Copy |
12 | søløven
17.7k
|
17.7k | Copy |
13 | Nordstream
below 10k
|
below 10k | Copy |
14 | mette frederiksens
below 10k
|
below 10k | Copy |
15 | Nvidia
48.4k
|
48.4k | Copy |
16 | MSTR
51.5k
|
51.5k | Copy |
17 | #anklager
below 10k
|
below 10k | Copy |
18 | østersøen
below 10k
|
below 10k | Copy |
19 | sikandar
below 10k
|
below 10k | Copy |
20 | tyrkiet
below 10k
|
below 10k | Copy |
21 | Somalia
16.3k
|
16.3k | Copy |
22 | North Korea
18.5k
|
18.5k | Copy |
23 | randers
below 10k
|
below 10k | Copy |
24 | Fakta
11.7k
|
11.7k | Copy |
25 | Zelensky
108.9k
|
108.9k | Copy |
26 | silkeborg
below 10k
|
below 10k | Copy |
27 | NATO
214k
|
214k | Copy |
28 | nørrebro
below 10k
|
below 10k | Copy |
29 | mænd
below 10k
|
below 10k | Copy |
30 | #ksdh
below 10k
|
below 10k | Copy |
31 | mikkel
below 10k
|
below 10k | Copy |
32 | #rødsilke
below 10k
|
below 10k | Copy |
33 | Milei
309.2k
|
309.2k | Copy |
34 | vestens
below 10k
|
below 10k | Copy |
35 | Finland
52k
|
52k | Copy |
36 | PTSD
22.9k
|
22.9k | Copy |
37 | seriøst
below 10k
|
below 10k | Copy |
38 | Todd
19.4k
|
19.4k | Copy |
39 | thorborg
below 10k
|
below 10k | Copy |
40 | Danish
45.3k
|
45.3k | Copy |
41 | Starship
137.6k
|
137.6k | Copy |
42 | NASA
47.4k
|
47.4k | Copy |
43 | $YBR
below 10k
|
below 10k | Copy |
44 | Kina
11k
|
11k | Copy |
45 | WWIII
107.3k
|
107.3k | Copy |
46 | Schweiz
below 10k
|
below 10k | Copy |
47 | #dkøko
below 10k
|
below 10k | Copy |
48 | Muslimer
below 10k
|
below 10k | Copy |
49 | Kiev
97.5k
|
97.5k | 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 Twitter Denmark with our automated page. Our page utilizes the official 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 Twitter Denmark .
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 Twitter are not influenced by personal opinions or paid promotions, but rather reflect the interests and conversations of the 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.
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, Twitter's trending algorithm is able to identify trends that are both popular and relevant to the current conversation on the platform.