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 Netherlands, as of 3 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | Iran
5.5m
|
5.5m | Copy |
| 2 | #Sonic
5.1k
|
5.1k | Copy |
| 3 | #uitdeschulden
below 10k
|
below 10k | Copy |
| 4 | Olcay
2k
|
2k | Copy |
| 5 | Airdrop TGE & Claim
below 10k
|
below 10k | Copy |
| 6 | #Spark
6k
|
6k | Copy |
| 7 | Halsema
4.7k
|
4.7k | Copy |
| 8 | #LineraCommunity
17.6k
|
17.6k | Copy |
| 9 | #humberto
below 10k
|
below 10k | Copy |
| 10 | Van Hijum
1.4k
|
1.4k | Copy |
| 11 | Teheran
160k
|
160k | Copy |
| 12 | Jort
below 10k
|
below 10k | Copy |
| 13 | jutta leerdam
below 10k
|
below 10k | Copy |
| 14 | Boedapest
1.2k
|
1.2k | Copy |
| 15 | Hongarije
1.7k
|
1.7k | Copy |
| 16 | Maccabi
5.7k
|
5.7k | Copy |
| 17 | Boomsma
below 10k
|
below 10k | Copy |
| 18 | Klaas Dijkhoff
below 10k
|
below 10k | Copy |
| 19 | heerkens
below 10k
|
below 10k | Copy |
| 20 | pomodoro pour
below 10k
|
below 10k | Copy |
| 21 | kees smit
below 10k
|
below 10k | Copy |
| 22 | Iraanse
5.5k
|
5.5k | Copy |
| 23 | Johnny
49k
|
49k | Copy |
| 24 | Experts
44.2k
|
44.2k | Copy |
| 25 | janny
1k
|
1k | Copy |
| 26 | Amsterdam
18.4k
|
18.4k | Copy |
| 27 | Jaros
1.1k
|
1.1k | Copy |
| 28 | vanmorgen
below 10k
|
below 10k | Copy |
| 29 | jan bennink
below 10k
|
below 10k | Copy |
| 30 | Irak
44k
|
44k | Copy |
| 31 | Kevin
80.4k
|
80.4k | Copy |
| 32 | Khamenei
237k
|
237k | Copy |
| 33 | goedemorgen nick
below 10k
|
below 10k | Copy |
| 34 | Moro
13.3k
|
13.3k | Copy |
| 35 | Benue
243k
|
243k | Copy |
| 36 | sietske
below 10k
|
below 10k | Copy |
| 37 | Texel
below 10k
|
below 10k | Copy |
| 38 | Frank Lammers
below 10k
|
below 10k | Copy |
| 39 | Tucker
231k
|
231k | Copy |
| 40 | Merz
78.6k
|
78.6k | Copy |
| 41 | reverson
below 10k
|
below 10k | Copy |
| 42 | Plate
61k
|
61k | Copy |
| 43 | Sauer
1.7k
|
1.7k | Copy |
| 44 | ollongren
below 10k
|
below 10k | Copy |
| 45 | marjolein moorman
below 10k
|
below 10k | Copy |
| 46 | Genesis Mainnet is LIVE
5.2k
|
5.2k | Copy |
| 47 | wouter koolmees
below 10k
|
below 10k | Copy |
| 48 | Ymere
below 10k
|
below 10k | Copy |
| 49 | Bilderberg
21k
|
21k | 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) Netherlands 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) Netherlands .
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.