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 Norway, as of 2 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | Glimt
35.8k
|
35.8k | Copy |
| 2 | Lazio
30.6k
|
30.6k | Copy |
| 3 | Europa League
122k
|
122k | Copy |
| 4 | Helmersen
below 10k
|
below 10k | Copy |
| 5 | Spurs
34.4k
|
34.4k | Copy |
| 6 | Milan
57.5k
|
57.5k | Copy |
| 7 | Lyon
263k
|
263k | Copy |
| 8 | #MUFC
197k
|
197k | Copy |
| 9 | Roma
34.5k
|
34.5k | Copy |
| 10 | Tottenham
34.8k
|
34.8k | Copy |
| 11 | Berg
8k
|
8k | Copy |
| 12 | Aspmyra
below 10k
|
below 10k | Copy |
| 13 | Manchester United
325k
|
325k | Copy |
| 14 | Amorim
88k
|
88k | Copy |
| 15 | Good Friday
258k
|
258k | Copy |
| 16 | høgh
below 10k
|
below 10k | Copy |
| 17 | Garnacho
40.8k
|
40.8k | Copy |
| 18 | Knutsen
2k
|
2k | Copy |
| 19 | Equinor
below 10k
|
below 10k | Copy |
| 20 | Rosenborg
below 10k
|
below 10k | Copy |
| 21 | Maguire
168k
|
168k | Copy |
| 22 | Eggen
below 10k
|
below 10k | Copy |
| 23 | Hauge
below 10k
|
below 10k | Copy |
| 24 | Happy Easter
76.4k
|
76.4k | Copy |
| 25 | Harvard
226k
|
226k | Copy |
| 26 | Eliteserien
below 10k
|
below 10k | Copy |
| 27 | Rice
94k
|
94k | Copy |
| 28 | Bilbao
46.5k
|
46.5k | Copy |
| 29 | Italia
71k
|
71k | Copy |
| 30 | Old Trafford
107k
|
107k | Copy |
| 31 | UEFA
42.4k
|
42.4k | Copy |
| 32 | Powell
153k
|
153k | Copy |
| 33 | svein
below 10k
|
below 10k | Copy |
| 34 | Onana
54k
|
54k | Copy |
| 35 | #RMAARS
4.1k
|
4.1k | Copy |
| 36 | Mbappe
77.6k
|
77.6k | Copy |
| 37 | Polen
2.8k
|
2.8k | Copy |
| 38 | Murphy
15k
|
15k | Copy |
| 39 | Saliba
12.2k
|
12.2k | Copy |
| 40 | Irland
below 10k
|
below 10k | Copy |
| 41 | #NUFC
2.6k
|
2.6k | Copy |
| 42 | Gmgm
17.2k
|
17.2k | Copy |
| 43 | fikk
below 10k
|
below 10k | Copy |
| 44 | Australia
73.6k
|
73.6k | Copy |
| 45 | Enda
3.2k
|
3.2k | Copy |
| 46 | Man Utd
262k
|
262k | Copy |
| 47 | Trondheim
below 10k
|
below 10k | Copy |
| 48 | #SOONISTHEREDPILL
46k
|
46k | Copy |
| 49 | London
130k
|
130k | 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) Norway 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) Norway .
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.