Our platform stores and analyzes 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 Twitter trending topics Netherlands, as of 4 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | Adani
242k
|
242k | Copy |
| 2 | Smeets
7.4k
|
7.4k | Copy |
| 3 | Jaguar
345k
|
345k | Copy |
| 4 | Goedemorgen
5.6k
|
5.6k | Copy |
| 5 | Rusland
6.8k
|
6.8k | Copy |
| 6 | #vunzigewoensdag
below 10k
|
below 10k | Copy |
| 7 | Hertzberger
5.1k
|
5.1k | Copy |
| 8 | zeedijk
2.1k
|
2.1k | Copy |
| 9 | Bluesky
104k
|
104k | Copy |
| 10 | #boerderijvandorst
below 10k
|
below 10k | Copy |
| 11 | #sneeuw
below 10k
|
below 10k | Copy |
| 12 | #spoor
below 10k
|
below 10k | Copy |
| 13 | Russia
843k
|
843k | Copy |
| 14 | Pieter
3.3k
|
3.3k | Copy |
| 15 | #bihned
below 10k
|
below 10k | Copy |
| 16 | Oekraïne
7.3k
|
7.3k | Copy |
| 17 | Ukraine
998k
|
998k | Copy |
| 18 | Kenya
176k
|
176k | Copy |
| 19 | liams
6.4k
|
6.4k | Copy |
| 20 | Putin
423k
|
423k | Copy |
| 21 | olcay
1.3k
|
1.3k | Copy |
| 22 | Bonte
2.1k
|
2.1k | Copy |
| 23 | Spanje
2.2k
|
2.2k | Copy |
| 24 | Ouwehand
below 10k
|
below 10k | Copy |
| 25 | Nadal
80.4k
|
80.4k | Copy |
| 26 | oud-staatssecretaris achahbar
below 10k
|
below 10k | Copy |
| 27 | Storm Shadow
102k
|
102k | Copy |
| 28 | negeren
below 10k
|
below 10k | Copy |
| 29 | Golda Meir
3.1k
|
3.1k | Copy |
| 30 | opgestapte achahbar
1.8k
|
1.8k | Copy |
| 31 | paleis soestdijk
below 10k
|
below 10k | Copy |
| 32 | Elijah
11.3k
|
11.3k | Copy |
| 33 | gedoneerd
below 10k
|
below 10k | Copy |
| 34 | ralf dekker
below 10k
|
below 10k | Copy |
| 35 | klimaatverandering
1.2k
|
1.2k | Copy |
| 36 | oostzee
below 10k
|
below 10k | Copy |
| 37 | Lisa
497k
|
497k | Copy |
| 38 | Greta
9.8k
|
9.8k | Copy |
| 39 | Kiev
96.4k
|
96.4k | Copy |
| 40 | Biden
986k
|
986k | Copy |
| 41 | koekkoek
below 10k
|
below 10k | Copy |
| 42 | Poetin
2.1k
|
2.1k | Copy |
| 43 | Nordstream
4.2k
|
4.2k | Copy |
| 44 | $QUANT
40.5k
|
40.5k | Copy |
| 45 | Holman
2.8k
|
2.8k | Copy |
| 46 | Plug
32k
|
32k | Copy |
| 47 | wentelteefjes
below 10k
|
below 10k | Copy |
| 48 | Bosma
below 10k
|
below 10k | Copy |
| 49 | Russische
7.6k
|
7.6k | 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 Twitter Netherlands with our automated page. Our page utilizes the official 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 Twitter Netherlands .
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 Twitter are not influenced by personal opinions or paid promotions, but rather reflect the interests and conversations of the 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.
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, Twitter's trending algorithm is able to identify trends that are both popular and relevant to the current conversation on the platform.