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 Leipzig, as of 1 minute ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | Behörden
20.6k
|
20.6k | Copy |
| 2 | Weihnachtsmarkt
82.9k
|
82.9k | Copy |
| 3 | Linker
below 10k
|
below 10k | Copy |
| 4 | #MagdeburgAttack
below 10k
|
below 10k | Copy |
| 5 | AfD Anhänger
below 10k
|
below 10k | Copy |
| 6 | Islam
418k
|
418k | Copy |
| 7 | Täter
56.6k
|
56.6k | Copy |
| 8 | Moschee
below 10k
|
below 10k | Copy |
| 9 | AfD Fan
21.2k
|
21.2k | Copy |
| 10 | AfD Sympathisant
below 10k
|
below 10k | Copy |
| 11 | Warnungen
below 10k
|
below 10k | Copy |
| 12 | Araber
below 10k
|
below 10k | Copy |
| 13 | BAMF
below 10k
|
below 10k | Copy |
| 14 | Schläfer
below 10k
|
below 10k | Copy |
| 15 | Psychiater
below 10k
|
below 10k | Copy |
| 16 | Ex-Muslim
48k
|
48k | Copy |
| 17 | Hass und Hetze
below 10k
|
below 10k | Copy |
| 18 | #GMMTVStarlympics2024
3.4k
|
3.4k | Copy |
| 19 | Demo
40.7k
|
40.7k | Copy |
| 20 | #AfDVerbotSofort
below 10k
|
below 10k | Copy |
| 21 | Identität
below 10k
|
below 10k | Copy |
| 22 | Weltbild
below 10k
|
below 10k | Copy |
| 23 | Profil
29.8k
|
29.8k | Copy |
| 24 | Christen
below 10k
|
below 10k | Copy |
| 25 | Zionist
130k
|
130k | Copy |
| 26 | Instrumentalisierung
below 10k
|
below 10k | Copy |
| 27 | Hinweise
below 10k
|
below 10k | Copy |
| 28 | Mörder
below 10k
|
below 10k | Copy |
| 29 | Atheist
88.1k
|
88.1k | Copy |
| 30 | Saudi Arabien
below 10k
|
below 10k | Copy |
| 31 | AfDler
below 10k
|
below 10k | Copy |
| 32 | Narrativ
below 10k
|
below 10k | Copy |
| 33 | Motiv
below 10k
|
below 10k | Copy |
| 34 | Hausdurchsuchungen
below 10k
|
below 10k | Copy |
| 35 | Gefährder
below 10k
|
below 10k | Copy |
| 36 | Taleb Al Abdulmohsen
40.8k
|
40.8k | Copy |
| 37 | Tarnung
below 10k
|
below 10k | Copy |
| 38 | Rücktritt
below 10k
|
below 10k | Copy |
| 39 | Moslem
below 10k
|
below 10k | Copy |
| 40 | Ausländer
below 10k
|
below 10k | Copy |
| 41 | Radikalisierung
below 10k
|
below 10k | Copy |
| 42 | Muslime
below 10k
|
below 10k | Copy |
| 43 | Schwachkopf
below 10k
|
below 10k | Copy |
| 44 | Versagen
below 10k
|
below 10k | Copy |
| 45 | Konflikte
below 10k
|
below 10k | Copy |
| 46 | Asyl
below 10k
|
below 10k | Copy |
| 47 | Sellner
22k
|
22k | Copy |
| 48 | Posts
272.5k
|
272.5k | Copy |
| 49 | AfD Wähler
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) Leipzig 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) Leipzig .
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.