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 Wroclaw, as of 14 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | Magdeburgu
20.2k
|
20.2k | Copy |
| 2 | Węgry
20.4k
|
20.4k | Copy |
| 3 | Niemczech
below 10k
|
below 10k | Copy |
| 4 | Orban
28.6k
|
28.6k | Copy |
| 5 | Węgrzech
11.9k
|
11.9k | Copy |
| 6 | Putina
14.1k
|
14.1k | Copy |
| 7 | Romanowskiego
24.2k
|
24.2k | Copy |
| 8 | Arabii Saudyjskiej
below 10k
|
below 10k | Copy |
| 9 | Węgier
below 10k
|
below 10k | Copy |
| 10 | #RuskiAzyl
below 10k
|
below 10k | Copy |
| 11 | Merkel
66.4k
|
66.4k | Copy |
| 12 | Niemcy
10.5k
|
10.5k | Copy |
| 13 | #jakgractoznajlepszymi
below 10k
|
below 10k | Copy |
| 14 | Tuska
35k
|
35k | Copy |
| 15 | Niemiec
below 10k
|
below 10k | Copy |
| 16 | #KSW101
below 10k
|
below 10k | Copy |
| 17 | Budapeszcie
below 10k
|
below 10k | Copy |
| 18 | Budapesztu
below 10k
|
below 10k | Copy |
| 19 | Węgrami
below 10k
|
below 10k | Copy |
| 20 | Rafako
below 10k
|
below 10k | Copy |
| 21 | Europy
11k
|
11k | Copy |
| 22 | Seryjny
below 10k
|
below 10k | Copy |
| 23 | Samochód
below 10k
|
below 10k | Copy |
| 24 | Saudyjczyk
below 10k
|
below 10k | Copy |
| 25 | Germany
921k
|
921k | Copy |
| 26 | Filiks
below 10k
|
below 10k | Copy |
| 27 | Wesołych Świąt
below 10k
|
below 10k | Copy |
| 28 | Islam
423.9k
|
423.9k | Copy |
| 29 | Węgrom
below 10k
|
below 10k | Copy |
| 30 | Christmas
1.5k
|
1.5k | Copy |
| 31 | Zamachowiec
below 10k
|
below 10k | Copy |
| 32 | Białoruś
below 10k
|
below 10k | Copy |
| 33 | Lekarz
below 10k
|
below 10k | Copy |
| 34 | Rosji
below 10k
|
below 10k | Copy |
| 35 | ligi konferencji
below 10k
|
below 10k | Copy |
| 36 | Scholz
56.7k
|
56.7k | Copy |
| 37 | syryjczyk
below 10k
|
below 10k | Copy |
| 38 | Panie Premierze
below 10k
|
below 10k | Copy |
| 39 | Niemców
below 10k
|
below 10k | Copy |
| 40 | Bliskiego Wschodu
below 10k
|
below 10k | Copy |
| 41 | Hiszpanii
below 10k
|
below 10k | Copy |
| 42 | Uroczyście
below 10k
|
below 10k | Copy |
| 43 | mlekovita
below 10k
|
below 10k | Copy |
| 44 | Włoch
below 10k
|
below 10k | Copy |
| 45 | Trumpa
below 10k
|
below 10k | Copy |
| 46 | Misjach
below 10k
|
below 10k | Copy |
| 47 | Sasin
below 10k
|
below 10k | Copy |
| 48 | Przemyśla
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 X (Twitter) Wroclaw 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) Wroclaw .
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.