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 44 minutes ago.
Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
---|---|---|---|
1 | Schnee
below 10k
|
below 10k | Copy |
2 | #ArcaneSeason2
111.3k
|
111.3k | Copy |
3 | Kendrick
1.8k
|
1.8k | Copy |
4 | $ADA
43.6k
|
43.6k | Copy |
5 | ICBM
36.9k
|
36.9k | Copy |
6 | #SRFArena
below 10k
|
below 10k | Copy |
7 | Oreshnik
65.9k
|
65.9k | Copy |
8 | Verbrenner
below 10k
|
below 10k | Copy |
9 | Jaguar
122.9k
|
122.9k | Copy |
10 | Italy
63.6k
|
63.6k | Copy |
11 | Netanyahu
703.6k
|
703.6k | Copy |
12 | Demokratie
below 10k
|
below 10k | Copy |
13 | The ICC
381.8k
|
381.8k | Copy |
14 | #bioacc
below 10k
|
below 10k | Copy |
15 | #snow
below 10k
|
below 10k | Copy |
16 | La CPI
92.9k
|
92.9k | Copy |
17 | Betrieb
below 10k
|
below 10k | Copy |
18 | Körper
below 10k
|
below 10k | Copy |
19 | Den Haag
below 10k
|
below 10k | Copy |
20 | Charakter
below 10k
|
below 10k | Copy |
21 | Nigeria
192.8k
|
192.8k | Copy |
22 | Kriegsverbrechen
below 10k
|
below 10k | Copy |
23 | Organisationen
below 10k
|
below 10k | Copy |
24 | Russia
below 10k
|
below 10k | Copy |
25 | Igbo
36.4k
|
36.4k | Copy |
26 | Concordo
15.3k
|
15.3k | Copy |
27 | Pandemie
below 10k
|
below 10k | Copy |
28 | #Habeck
below 10k
|
below 10k | Copy |
29 | Bâle
below 10k
|
below 10k | Copy |
30 | Incredible
285k
|
285k | Copy |
31 | Valais
below 10k
|
below 10k | Copy |
32 | AIPAC
32.3k
|
32.3k | Copy |
33 | Urne
below 10k
|
below 10k | Copy |
34 | Japan
551.3k
|
551.3k | Copy |
35 | Thomas
98k
|
98k | Copy |
36 | Cardano
46.5k
|
46.5k | Copy |
37 | Moscow
22.1k
|
22.1k | Copy |
38 | JUSO
below 10k
|
below 10k | Copy |
39 | Initiative
32.5k
|
32.5k | Copy |
40 | Iran
124.7k
|
124.7k | Copy |
41 | Beiträge
below 10k
|
below 10k | Copy |
42 | Harris
187.6k
|
187.6k | Copy |
43 | Stelle
13.6k
|
13.6k | Copy |
44 | Antisemiten
below 10k
|
below 10k | Copy |
45 | Korrektur
below 10k
|
below 10k | Copy |
46 | Sohn
below 10k
|
below 10k | Copy |
47 | Reaktion
below 10k
|
below 10k | Copy |
48 | Western
155.7k
|
155.7k | Copy |
49 | Hamas
173.9k
|
173.9k | 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.