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 Geneva, as of 30 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | Jaguar
329.3k
|
329.3k | Copy |
| 2 | $ETH
1.5k
|
1.5k | Copy |
| 3 | #bioacc
18.9k
|
18.9k | Copy |
| 4 | #PetitPapaTopAchat
45.8k
|
45.8k | Copy |
| 5 | #WorldChildrensDay
45.6k
|
45.6k | Copy |
| 6 | Schnee
below 10k
|
below 10k | Copy |
| 7 | Ukraine
988.4k
|
988.4k | Copy |
| 8 | #thisisme
36.4k
|
36.4k | Copy |
| 9 | MSTR
54.6k
|
54.6k | Copy |
| 10 | #GalxeID
20.4k
|
20.4k | Copy |
| 11 | Russia
815.9k
|
815.9k | Copy |
| 12 | Atomkrieg
below 10k
|
below 10k | Copy |
| 13 | Germany
128.9k
|
128.9k | Copy |
| 14 | Volksverhetzung
below 10k
|
below 10k | Copy |
| 15 | Saylor
49.7k
|
49.7k | Copy |
| 16 | Belgium
below 10k
|
below 10k | Copy |
| 17 | Psychiater
below 10k
|
below 10k | Copy |
| 18 | JUSO
below 10k
|
below 10k | Copy |
| 19 | Strassen
below 10k
|
below 10k | Copy |
| 20 | Muslime
below 10k
|
below 10k | Copy |
| 21 | $BERT
13.3k
|
13.3k | Copy |
| 22 | Schweiz
below 10k
|
below 10k | Copy |
| 23 | Kiev
91.2k
|
91.2k | Copy |
| 24 | Starmer
210.7k
|
210.7k | Copy |
| 25 | $BTC
2k
|
2k | Copy |
| 26 | Rome
30.4k
|
30.4k | Copy |
| 27 | Sony
69.6k
|
69.6k | Copy |
| 28 | Prioritäten
below 10k
|
below 10k | Copy |
| 29 | IOTA
below 10k
|
below 10k | Copy |
| 30 | Holocaust
66.3k
|
66.3k | Copy |
| 31 | Satire
12.3k
|
12.3k | Copy |
| 32 | Kerl
below 10k
|
below 10k | Copy |
| 33 | Justement
below 10k
|
below 10k | Copy |
| 34 | Minecraft
86.4k
|
86.4k | Copy |
| 35 | Starship
97.9k
|
97.9k | Copy |
| 36 | Kiew
below 10k
|
below 10k | Copy |
| 37 | köppel
below 10k
|
below 10k | Copy |
| 38 | Male
223.1k
|
223.1k | Copy |
| 39 | Matt Gaetz
504.7k
|
504.7k | Copy |
| 40 | Kapital
below 10k
|
below 10k | Copy |
| 41 | Justiz
below 10k
|
below 10k | Copy |
| 42 | Russland
30.8k
|
30.8k | Copy |
| 43 | Putin
408.9k
|
408.9k | Copy |
| 44 | Geschlecht
below 10k
|
below 10k | Copy |
| 45 | NATO
206.6k
|
206.6k | Copy |
| 46 | SpaceX
136.7k
|
136.7k | Copy |
| 47 | Spinner
below 10k
|
below 10k | Copy |
| 48 | Reaktion
below 10k
|
below 10k | Copy |
| 49 | Poland
32.9k
|
32.9k | 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 Geneva 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 Geneva .
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.