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 43 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | Greenland
258k
|
258k | Copy |
| 2 | liepājas
below 10k
|
below 10k | Copy |
| 3 | vācijas
below 10k
|
below 10k | Copy |
| 4 | Rīgas
below 10k
|
below 10k | Copy |
| 5 | tallinas
below 10k
|
below 10k | Copy |
| 6 | Šodien
below 10k
|
below 10k | Copy |
| 7 | šleseru
below 10k
|
below 10k | Copy |
| 8 | Pirms
below 10k
|
below 10k | Copy |
| 9 | Москве
1.3k
|
1.3k | Copy |
| 10 | teātra
below 10k
|
below 10k | Copy |
| 11 | pabrades
below 10k
|
below 10k | Copy |
| 12 | Tavu
below 10k
|
below 10k | Copy |
| 13 | Maskavas
below 10k
|
below 10k | Copy |
| 14 | Rīgu
below 10k
|
below 10k | Copy |
| 15 | jūrmalas
below 10k
|
below 10k | Copy |
| 16 | ventspils
below 10k
|
below 10k | Copy |
| 17 | America
872k
|
872k | Copy |
| 18 | Russia
318k
|
318k | Copy |
| 19 | rietumu
below 10k
|
below 10k | Copy |
| 20 | kādas
below 10k
|
below 10k | Copy |
| 21 | jelgavā
below 10k
|
below 10k | Copy |
| 22 | kurš
3.3k
|
3.3k | Copy |
| 23 | esmu
below 10k
|
below 10k | Copy |
| 24 | Saeimas
below 10k
|
below 10k | Copy |
| 25 | Lietuvas
below 10k
|
below 10k | Copy |
| 26 | šobrīd
below 10k
|
below 10k | Copy |
| 27 | brīvības
below 10k
|
below 10k | Copy |
| 28 | Signal
309k
|
309k | Copy |
| 29 | Rimi
1.9k
|
1.9k | Copy |
| 30 | polija
below 10k
|
below 10k | Copy |
| 31 | Labi
1.9k
|
1.9k | Copy |
| 32 | Grok
2.6m
|
2.6m | Copy |
| 33 | nevajag
below 10k
|
below 10k | Copy |
| 34 | Ghibli
582k
|
582k | Copy |
| 35 | Украине
8.4k
|
8.4k | Copy |
| 36 | vienotība
below 10k
|
below 10k | Copy |
| 37 | Taisnība
below 10k
|
below 10k | Copy |
| 38 | daudz
below 10k
|
below 10k | Copy |
| 39 | Noteikti
below 10k
|
below 10k | Copy |
| 40 | #teirdarbs
below 10k
|
below 10k | Copy |
| 41 | Ainārs
below 10k
|
below 10k | Copy |
| 42 | trampam
below 10k
|
below 10k | Copy |
| 43 | Ukraine
426k
|
426k | Copy |
| 44 | manuprāt
below 10k
|
below 10k | Copy |
| 45 | PSRS
below 10k
|
below 10k | Copy |
| 46 | krievijā
below 10k
|
below 10k | Copy |
| 47 | Somijā
below 10k
|
below 10k | Copy |
| 48 | ķirsis
below 10k
|
below 10k | Copy |
| 49 | domā
3.4k
|
3.4k | 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.