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 33 seconds ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | #bigbrothernlbe
6.3k
|
6.3k | Copy |
| 2 | Oosterhout
2.7k
|
2.7k | Copy |
| 3 | #steekpartij
below 10k
|
below 10k | Copy |
| 4 | Oekraïner
1.6k
|
1.6k | Copy |
| 5 | #camgra
below 10k
|
below 10k | Copy |
| 6 | #PAKvNZ
below 10k
|
below 10k | Copy |
| 7 | Myanmar
below 10k
|
below 10k | Copy |
| 8 | Sharice
1.2k
|
1.2k | Copy |
| 9 | Greenland
273k
|
273k | Copy |
| 10 | #onlyjoling
below 10k
|
below 10k | Copy |
| 11 | Faber
5.6k
|
5.6k | Copy |
| 12 | Slaap
below 10k
|
below 10k | Copy |
| 13 | Bangkok
452k
|
452k | Copy |
| 14 | Ghibli
550k
|
550k | Copy |
| 15 | b. ja
6.3k
|
6.3k | Copy |
| 16 | Loretta
2.9k
|
2.9k | Copy |
| 17 | Jolien
1k
|
1k | Copy |
| 18 | Keanu
2.6k
|
2.6k | Copy |
| 19 | Rambo
3.9k
|
3.9k | Copy |
| 20 | Mathieu van der Poel
1.4k
|
1.4k | Copy |
| 21 | Thailand
528k
|
528k | Copy |
| 22 | Jordy
2.3k
|
2.3k | Copy |
| 23 | c. ado
below 10k
|
below 10k | Copy |
| 24 | Lennie
below 10k
|
below 10k | Copy |
| 25 | Halsema
2.1k
|
2.1k | Copy |
| 26 | Brit
18k
|
18k | Copy |
| 27 | TURGUT
3.2k
|
3.2k | Copy |
| 28 | Fijn
1.9k
|
1.9k | Copy |
| 29 | Odessa
2.6k
|
2.6k | Copy |
| 30 | Samson
5.9k
|
5.9k | Copy |
| 31 | a. 2-1
263k
|
263k | Copy |
| 32 | c. excelsior
below 10k
|
below 10k | Copy |
| 33 | gerard joling
below 10k
|
below 10k | Copy |
| 34 | Berlicum
below 10k
|
below 10k | Copy |
| 35 | Metin
5.5k
|
5.5k | Copy |
| 36 | keijzer
below 10k
|
below 10k | Copy |
| 37 | Jane
40.5k
|
40.5k | Copy |
| 38 | loetje
below 10k
|
below 10k | Copy |
| 39 | goedemorgen anton
below 10k
|
below 10k | Copy |
| 40 | Rutte
9.2k
|
9.2k | Copy |
| 41 | d. melnyk
1.4k
|
1.4k | Copy |
| 42 | ariana
349k
|
349k | Copy |
| 43 | damsteker
below 10k
|
below 10k | Copy |
| 44 | Schoof
4.9k
|
4.9k | Copy |
| 45 | Wout
1.1k
|
1.1k | Copy |
| 46 | dader
3.3k
|
3.3k | Copy |
| 47 | Welterusten
below 10k
|
below 10k | Copy |
| 48 | Pikachu
125k
|
125k | Copy |
| 49 | oost-europeaan
below 10k
|
below 10k | Copy |
| Note: Trends refreshes every Hour . to view the Hourly trending Trends for last 24 hour click of Expand view button below | |||
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | #bigbrothernlbe
5.9k
|
5.9k | Copy |
| 2 | Oosterhout
2.6k
|
2.6k | Copy |
| 3 | #steekpartij
below 10k
|
below 10k | Copy |
| 4 | Oekraïner
1.6k
|
1.6k | Copy |
| 5 | Myanmar
below 10k
|
below 10k | Copy |
| 6 | #camgra
below 10k
|
below 10k | Copy |
| 7 | Keanu
2.5k
|
2.5k | Copy |
| 8 | Sharice
1.2k
|
1.2k | Copy |
| 9 | #onlyjoling
below 10k
|
below 10k | Copy |
| 10 | Greenland
261k
|
261k | Copy |
| 11 | Faber
5.6k
|
5.6k | Copy |
| 12 | Bangkok
443k
|
443k | Copy |
| 13 | #telVIT
below 10k
|
below 10k | Copy |
| 14 | Lennie
below 10k
|
below 10k | Copy |
| 15 | Slaap
below 10k
|
below 10k | Copy |
| 16 | Ghibli
549k
|
549k | Copy |
| 17 | Jolien
1k
|
1k | Copy |
| 18 | b. ja
6.2k
|
6.2k | Copy |
| 19 | Loretta
2.8k
|
2.8k | Copy |
| 20 | Rambo
3.9k
|
3.9k | Copy |
| 21 | Mathieu van der Poel
1.4k
|
1.4k | Copy |
| 22 | Thailand
492k
|
492k | Copy |
| 23 | Telstar
below 10k
|
below 10k | Copy |
| 24 | Jordy
2.2k
|
2.2k | Copy |
| 25 | c. ado
below 10k
|
below 10k | Copy |
| 26 | Halsema
2.1k
|
2.1k | Copy |
| 27 | Brit
18k
|
18k | Copy |
| 28 | TURGUT
3.3k
|
3.3k | Copy |
| 29 | Fijn
1.9k
|
1.9k | Copy |
| 30 | Gerard
15.8k
|
15.8k | Copy |
| 31 | Odessa
2.6k
|
2.6k | Copy |
| 32 | Samson
5.7k
|
5.7k | Copy |
| 33 | a. 2-1
264k
|
264k | Copy |
| 34 | c. excelsior
below 10k
|
below 10k | Copy |
| 35 | Jane
40k
|
40k | Copy |
| 36 | Berlicum
below 10k
|
below 10k | Copy |
| 37 | Metin
5.6k
|
5.6k | Copy |
| 38 | keijzer
below 10k
|
below 10k | Copy |
| 39 | ariana
346k
|
346k | Copy |
| 40 | Rutte
9.4k
|
9.4k | Copy |
| 41 | Loetje
below 10k
|
below 10k | Copy |
| 42 | goedemorgen anton
below 10k
|
below 10k | Copy |
| 43 | Schoof
4.9k
|
4.9k | Copy |
| 44 | d. melnyk
1.4k
|
1.4k | Copy |
| 45 | damsteker
below 10k
|
below 10k | Copy |
| 46 | Wout
1.1k
|
1.1k | Copy |
| 47 | dader
3.3k
|
3.3k | Copy |
| 48 | Welterusten
below 10k
|
below 10k | Copy |
| 49 | Pikachu
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) 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.