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 Leeds, as of 18 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | #BHAFC
below 10k
|
below 10k | Copy |
| 2 | Moyes
below 10k
|
below 10k | Copy |
| 3 | Calafiori
below 10k
|
below 10k | Copy |
| 4 | #avfc
below 10k
|
below 10k | Copy |
| 5 | Forson
below 10k
|
below 10k | Copy |
| 6 | Title
166k
|
166k | Copy |
| 7 | Leeds
18k
|
18k | Copy |
| 8 | #hcafc
below 10k
|
below 10k | Copy |
| 9 | Laird
below 10k
|
below 10k | Copy |
| 10 | Sack
20k
|
20k | Copy |
| 11 | Sullivan
below 10k
|
below 10k | Copy |
| 12 | Maatsen
below 10k
|
below 10k | Copy |
| 13 | Lampard
below 10k
|
below 10k | Copy |
| 14 | Dubravka
below 10k
|
below 10k | Copy |
| 15 | #cufc
below 10k
|
below 10k | Copy |
| 16 | Hull
15.1k
|
15.1k | Copy |
| 17 | Norwich
below 10k
|
below 10k | Copy |
| 18 | #LCFC
below 10k
|
below 10k | Copy |
| 19 | Savinho
26.1k
|
26.1k | Copy |
| 20 | Spurs
63.8k
|
63.8k | Copy |
| 21 | Arsenal
161.2k
|
161.2k | Copy |
| 22 | Brighton
54.8k
|
54.8k | Copy |
| 23 | Saliba
18.8k
|
18.8k | Copy |
| 24 | Arteta
31.3k
|
31.3k | Copy |
| 25 | Anthony Taylor
below 10k
|
below 10k | Copy |
| 26 | Merino
12.6k
|
12.6k | Copy |
| 27 | Harry Hill
below 10k
|
below 10k | Copy |
| 28 | Martinelli
14.3k
|
14.3k | Copy |
| 29 | Nwaneri
36.5k
|
36.5k | Copy |
| 30 | Trossard
below 10k
|
below 10k | Copy |
| 31 | Bob Mortimer
below 10k
|
below 10k | Copy |
| 32 | Partey
10.9k
|
10.9k | Copy |
| 33 | Joao Pedro
below 10k
|
below 10k | Copy |
| 34 | Meslier
below 10k
|
below 10k | Copy |
| 35 | Odegaard
below 10k
|
below 10k | Copy |
| 36 | Spag Bol
below 10k
|
below 10k | Copy |
| 37 | Dyche
below 10k
|
below 10k | Copy |
| 38 | Kingfisher
below 10k
|
below 10k | Copy |
| 39 | PGMOL
below 10k
|
below 10k | Copy |
| 40 | Paul Whitehouse
below 10k
|
below 10k | Copy |
| 41 | Kate Garraway
below 10k
|
below 10k | Copy |
| 42 | Gabriel
64.3k
|
64.3k | Copy |
| 43 | Rice
48.5k
|
48.5k | Copy |
| 44 | Alan Smith
below 10k
|
below 10k | Copy |
| 45 | Baleba
below 10k
|
below 10k | Copy |
| 46 | Farke
below 10k
|
below 10k | Copy |
| 47 | Darlow
below 10k
|
below 10k | Copy |
| 48 | Maresca
32.7k
|
32.7k | Copy |
| 49 | Gordon
39.5k
|
39.5k | 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) Leeds 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) Leeds .
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.