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 Berlin, as of 17 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | #Magdeburg
372k
|
372k | Copy |
| 2 | #Magdeburg
371.9k
|
371.9k | Copy |
| 3 | #Magdeburg
372.1k
|
372.1k | Copy |
| 4 | Täter
73k
|
73k | Copy |
| 5 | Musk
877.8k
|
877.8k | Copy |
| 6 | Islam
521.3k
|
521.3k | Copy |
| 7 | Behörden
42.2k
|
42.2k | Copy |
| 8 | Germany
971.1k
|
971.1k | Copy |
| 9 | #SUBGIS
below 10k
|
below 10k | Copy |
| 10 | Opfern
11.5k
|
11.5k | Copy |
| 11 | Demo gegen Rechts
13.2k
|
13.2k | Copy |
| 12 | Angehörigen
below 10k
|
below 10k | Copy |
| 13 | Christmas
2.5k
|
2.5k | Copy |
| 14 | AfD Anhänger
17.3k
|
17.3k | Copy |
| 15 | Arzt
15.8k
|
15.8k | Copy |
| 16 | Verletzten
11.8k
|
11.8k | Copy |
| 17 | Schläfer
below 10k
|
below 10k | Copy |
| 18 | Saudi
500.5k
|
500.5k | Copy |
| 19 | Mitgefühl
below 10k
|
below 10k | Copy |
| 20 | Linker
18.9k
|
18.9k | Copy |
| 21 | #sgem05
below 10k
|
below 10k | Copy |
| 22 | Usyk
203.2k
|
203.2k | Copy |
| 23 | Moslem
below 10k
|
below 10k | Copy |
| 24 | Araber
13.1k
|
13.1k | Copy |
| 25 | AfD Fan
62.7k
|
62.7k | Copy |
| 26 | Warnungen
below 10k
|
below 10k | Copy |
| 27 | Motiv
below 10k
|
below 10k | Copy |
| 28 | Muslime
12.5k
|
12.5k | Copy |
| 29 | Psychiater
below 10k
|
below 10k | Copy |
| 30 | Mörder
below 10k
|
below 10k | Copy |
| 31 | Textbausteine
below 10k
|
below 10k | Copy |
| 32 | Moschee
below 10k
|
below 10k | Copy |
| 33 | Plattform
below 10k
|
below 10k | Copy |
| 34 | Atheist
162.4k
|
162.4k | Copy |
| 35 | Heuchler
below 10k
|
below 10k | Copy |
| 36 | Raab
below 10k
|
below 10k | Copy |
| 37 | Beileid
below 10k
|
below 10k | Copy |
| 38 | Mitschuld
below 10k
|
below 10k | Copy |
| 39 | Anteilnahme
below 10k
|
below 10k | Copy |
| 40 | Blut
below 10k
|
below 10k | Copy |
| 41 | Weihnachten
13.9k
|
13.9k | Copy |
| 42 | Händen
below 10k
|
below 10k | Copy |
| 43 | Fury
194.5k
|
194.5k | Copy |
| 44 | Grenzen
18.5k
|
18.5k | Copy |
| 45 | Menschenmenge
below 10k
|
below 10k | Copy |
| 46 | Ausländer
11.5k
|
11.5k | Copy |
| 47 | Hetze
below 10k
|
below 10k | Copy |
| 48 | afd sympathisant
below 10k
|
below 10k | Copy |
| 49 | Heuchelei
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) Berlin 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) Berlin .
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.