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 Latvia, as of 58 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | gotlandes
below 10k
|
below 10k | Copy |
| 2 | evika siliņa
below 10k
|
below 10k | Copy |
| 3 | briškenu
below 10k
|
below 10k | Copy |
| 4 | Starlink
39.4k
|
39.4k | Copy |
| 5 | Čakša
below 10k
|
below 10k | Copy |
| 6 | Augulis
below 10k
|
below 10k | Copy |
| 7 | Siliņas
below 10k
|
below 10k | Copy |
| 8 | Tramps
below 10k
|
below 10k | Copy |
| 9 | ceru
below 10k
|
below 10k | Copy |
| 10 | Polijas
below 10k
|
below 10k | Copy |
| 11 | Ukraine
1.2m
|
1.2m | Copy |
| 12 | Zelenski
29.6k
|
29.6k | Copy |
| 13 | ainārs
below 10k
|
below 10k | Copy |
| 14 | Masks
21.6k
|
21.6k | Copy |
| 15 | drīzāk
below 10k
|
below 10k | Copy |
| 16 | СССР
2.2k
|
2.2k | Copy |
| 17 | šeit
26.4k
|
26.4k | Copy |
| 18 | Musk
1.4m
|
1.4m | Copy |
| 19 | tāda
6.6k
|
6.6k | Copy |
| 20 | Grok 3
65k
|
65k | Copy |
| 21 | Lato
1.9k
|
1.9k | Copy |
| 22 | airbaltic
below 10k
|
below 10k | Copy |
| 23 | Putin
563k
|
563k | Copy |
| 24 | ministru
below 10k
|
below 10k | Copy |
| 25 | Trampam
below 10k
|
below 10k | Copy |
| 26 | Interesanti
below 10k
|
below 10k | Copy |
| 27 | UNRWA
20.2k
|
20.2k | Copy |
| 28 | Russians
66k
|
66k | Copy |
| 29 | NATO
153k
|
153k | Copy |
| 30 | kamēr
5.4k
|
5.4k | Copy |
| 31 | Moscow
50.5k
|
50.5k | Copy |
| 32 | varētu
below 10k
|
below 10k | Copy |
| 33 | Украины
12k
|
12k | Copy |
| 34 | Трамп
34.2k
|
34.2k | Copy |
| 35 | America
967k
|
967k | Copy |
| 36 | Varbūt
below 10k
|
below 10k | Copy |
| 37 | Baidena
below 10k
|
below 10k | Copy |
| 38 | noteikti
below 10k
|
below 10k | Copy |
| 39 | muļķības
below 10k
|
below 10k | Copy |
| 40 | Paga
56k
|
56k | Copy |
| 41 | #Crypto
220k
|
220k | Copy |
| 42 | Klau
2k
|
2k | Copy |
| 43 | Europe
411k
|
411k | Copy |
| 44 | #latvija
below 10k
|
below 10k | Copy |
| 45 | Зеленского
7.7k
|
7.7k | Copy |
| 46 | ķīna
13k
|
13k | Copy |
| 47 | droši
below 10k
|
below 10k | Copy |
| 48 | dievs
below 10k
|
below 10k | Copy |
| 49 | gazā
703k
|
703k | 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) Latvia 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) Latvia .
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.