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 58 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | April Fools
1.1m
|
1.1m | Copy |
| 2 | #dax18
below 10k
|
below 10k | Copy |
| 3 | Le Pen
871k
|
871k | Copy |
| 4 | Forest
99.4k
|
99.4k | Copy |
| 5 | Gabriel
101k
|
101k | Copy |
| 6 | Elanga
29k
|
29k | Copy |
| 7 | Garnacho
35.5k
|
35.5k | Copy |
| 8 | Saka
146k
|
146k | Copy |
| 9 | Madrid
316k
|
316k | Copy |
| 10 | Manchester United
42.4k
|
42.4k | Copy |
| 11 | Martinelli
25k
|
25k | Copy |
| 12 | Frankrike
1.1k
|
1.1k | Copy |
| 13 | Premier League
61.4k
|
61.4k | Copy |
| 14 | lerkendal
below 10k
|
below 10k | Copy |
| 15 | #FPLCommunity
1.3k
|
1.3k | Copy |
| 16 | Foden
5.3k
|
5.3k | Copy |
| 17 | Poland
27.6k
|
27.6k | Copy |
| 18 | SpaceX
78.1k
|
78.1k | Copy |
| 19 | Chelsea
50.5k
|
50.5k | Copy |
| 20 | Romania
71.8k
|
71.8k | Copy |
| 21 | Arteta
15.6k
|
15.6k | Copy |
| 22 | Steam
53.4k
|
53.4k | Copy |
| 23 | Finn
24.2k
|
24.2k | Copy |
| 24 | jens stoltenberg
below 10k
|
below 10k | Copy |
| 25 | #MUFC
29.7k
|
29.7k | Copy |
| 26 | stabæk
below 10k
|
below 10k | Copy |
| 27 | Macron
160k
|
160k | Copy |
| 28 | Moss
7.3k
|
7.3k | Copy |
| 29 | lillestrøm
below 10k
|
below 10k | Copy |
| 30 | obos-ligaen
below 10k
|
below 10k | Copy |
| 31 | Villa
41.8k
|
41.8k | Copy |
| 32 | Jupp
below 10k
|
below 10k | Copy |
| 33 | Arsenal
160k
|
160k | Copy |
| 34 | flott
below 10k
|
below 10k | Copy |
| 35 | #Buckazoids
9.3k
|
9.3k | Copy |
| 36 | Dems
78.1k
|
78.1k | Copy |
| 37 | Hungary
32k
|
32k | Copy |
| 38 | erna solberg
below 10k
|
below 10k | Copy |
| 39 | Isak
9.2k
|
9.2k | Copy |
| 40 | Barca
62.2k
|
62.2k | Copy |
| 41 | Palace
19.4k
|
19.4k | Copy |
| 42 | Titcoin
19.7k
|
19.7k | Copy |
| 43 | Meghan
29k
|
29k | Copy |
| 44 | Finland
22.6k
|
22.6k | Copy |
| 45 | Lykke
below 10k
|
below 10k | Copy |
| 46 | Saylor
20k
|
20k | Copy |
| 47 | Microsoft
20.4k
|
20.4k | Copy |
| 48 | Islam
186k
|
186k | Copy |
| 49 | Everton
8.9k
|
8.9k | 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.