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 Utrecht, as of 47 minutes ago.
Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
---|---|---|---|
1 | #vitaja
below 10k
|
below 10k | Copy |
2 | Plasterk
17.9k
|
17.9k | Copy |
3 | #Iran
150.1k
|
150.1k | Copy |
4 | #Iran
150.1k
|
150.1k | Copy |
5 | Remkes
below 10k
|
below 10k | Copy |
6 | #feyexc
below 10k
|
below 10k | Copy |
7 | #pectwe
below 10k
|
below 10k | Copy |
8 | Mona
56k
|
56k | Copy |
9 | Pinksteren
below 10k
|
below 10k | Copy |
10 | Arne Slot
36.3k
|
36.3k | Copy |
11 | Iraanse
below 10k
|
below 10k | Copy |
12 | Grunberg
below 10k
|
below 10k | Copy |
13 | Arda
169.6k
|
169.6k | Copy |
14 | Militao
26k
|
26k | Copy |
15 | May Allah
37.3k
|
37.3k | Copy |
16 | Heilige Geest
below 10k
|
below 10k | Copy |
17 | Drees
below 10k
|
below 10k | Copy |
18 | Arsenal
879.9k
|
879.9k | Copy |
19 | Kudus
75.4k
|
75.4k | Copy |
20 | Mossad
49.2k
|
49.2k | Copy |
21 | Aboutaleb
below 10k
|
below 10k | Copy |
22 | Sywert
below 10k
|
below 10k | Copy |
23 | Henderson
below 10k
|
below 10k | Copy |
24 | Gaaei
below 10k
|
below 10k | Copy |
25 | Dichtbij
below 10k
|
below 10k | Copy |
26 | Dani de Wit
below 10k
|
below 10k | Copy |
27 | Schip
below 10k
|
below 10k | Copy |
28 | Islam
158.1k
|
158.1k | Copy |
29 | Luuk
below 10k
|
below 10k | Copy |
30 | Koran
below 10k
|
below 10k | Copy |
31 | Real Madrid
125.8k
|
125.8k | Copy |
32 | Trauner
below 10k
|
below 10k | Copy |
33 | pinksterzondag
below 10k
|
below 10k | Copy |
34 | Purple Rain
below 10k
|
below 10k | Copy |
35 | Teheran
14.3k
|
14.3k | Copy |
36 | Bram van Polen
below 10k
|
below 10k | Copy |
37 | Advocaat
below 10k
|
below 10k | Copy |
38 | Joden
below 10k
|
below 10k | Copy |
39 | Lando
55.8k
|
55.8k | Copy |
40 | Perez
137.5k
|
137.5k | Copy |
41 | Norris
41.8k
|
41.8k | Copy |
42 | Emine
below 10k
|
below 10k | Copy |
43 | Knicks
53k
|
53k | Copy |
44 | Excelsior
below 10k
|
below 10k | Copy |
45 | Galatasaray
263.2k
|
263.2k | Copy |
46 | Pavlidis
below 10k
|
below 10k | Copy |
47 | Brussel
below 10k
|
below 10k | Copy |
48 | West Ham
76.2k
|
76.2k | Copy |
49 | Pinksterweekend
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 |
Get real-time updates on the hottest trending hashtags and topics on Twitter Utrecht 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 Utrecht .
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.