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 30 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | Martinsen
below 10k
|
below 10k | Copy |
| 2 | Gratulerer
below 10k
|
below 10k | Copy |
| 3 | Glenn Diesen
1.3k
|
1.3k | Copy |
| 4 | Lewis
157k
|
157k | Copy |
| 5 | sindre
below 10k
|
below 10k | Copy |
| 6 | Rokseth
below 10k
|
below 10k | Copy |
| 7 | #debatten
below 10k
|
below 10k | Copy |
| 8 | NASA
79.1k
|
79.1k | Copy |
| 9 | Hellestveit
below 10k
|
below 10k | Copy |
| 10 | Zelenskyj
1k
|
1k | Copy |
| 11 | Høyre
below 10k
|
below 10k | Copy |
| 12 | Erna
1.2k
|
1.2k | Copy |
| 13 | Oilers
15.6k
|
15.6k | Copy |
| 14 | Republicans
226k
|
226k | Copy |
| 15 | Grattis
below 10k
|
below 10k | Copy |
| 16 | jordal
below 10k
|
below 10k | Copy |
| 17 | Flott
below 10k
|
below 10k | Copy |
| 18 | Ronaldo
117k
|
117k | Copy |
| 19 | #2hockey
below 10k
|
below 10k | Copy |
| 20 | Israel
996k
|
996k | Copy |
| 21 | stemmer
below 10k
|
below 10k | Copy |
| 22 | Aspmyra
below 10k
|
below 10k | Copy |
| 23 | Ubisoft
64.2k
|
64.2k | Copy |
| 24 | #dax18
below 10k
|
below 10k | Copy |
| 25 | Hamar
below 10k
|
below 10k | Copy |
| 26 | Russians
71.6k
|
71.6k | Copy |
| 27 | Norge
2.3k
|
2.3k | Copy |
| 28 | Andrew Tate
30.7k
|
30.7k | Copy |
| 29 | Kanye
74k
|
74k | Copy |
| 30 | Toppserien
below 10k
|
below 10k | Copy |
| 31 | Fantastic
114k
|
114k | Copy |
| 32 | Glimt
below 10k
|
below 10k | Copy |
| 33 | Dubai
60.8k
|
60.8k | Copy |
| 34 | Portugal
93.6k
|
93.6k | Copy |
| 35 | Spain
89.1k
|
89.1k | Copy |
| 36 | Ferrari
50k
|
50k | Copy |
| 37 | Erdogan
249k
|
249k | Copy |
| 38 | Norden
below 10k
|
below 10k | Copy |
| 39 | Igjen
below 10k
|
below 10k | Copy |
| 40 | Donald
358k
|
358k | Copy |
| 41 | Staten
2.2k
|
2.2k | Copy |
| 42 | Trondheim
below 10k
|
below 10k | Copy |
| 43 | Shadows
99k
|
99k | Copy |
| 44 | Finland
42.4k
|
42.4k | Copy |
| 45 | Kanskje
below 10k
|
below 10k | Copy |
| 46 | #jimmyyjp
13.8k
|
13.8k | Copy |
| 47 | Scandinavian
1.2k
|
1.2k | Copy |
| 48 | Gaza
836k
|
836k | Copy |
| 49 | China
363k
|
363k | 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.