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 Dnipropetrovsk, as of 52 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | Dnipro
below 10k
|
below 10k | Copy |
| 2 | #VotingPlatform
below 10k
|
below 10k | Copy |
| 3 | #SlingShotDAO
below 10k
|
below 10k | Copy |
| 4 | #Web3Gaming
below 10k
|
below 10k | Copy |
| 5 | Zealy
21.1k
|
21.1k | Copy |
| 6 | Russia
837.6k
|
837.6k | Copy |
| 7 | Stalker 2
20k
|
20k | Copy |
| 8 | Storm Shadow
104.7k
|
104.7k | Copy |
| 9 | ранку
below 10k
|
below 10k | Copy |
| 10 | #GTArbitrum
below 10k
|
below 10k | Copy |
| 11 | Сталкер
below 10k
|
below 10k | Copy |
| 12 | ATACMS
68.8k
|
68.8k | Copy |
| 13 | Heart of Chornobyl
10.9k
|
10.9k | Copy |
| 14 | Реально
below 10k
|
below 10k | Copy |
| 15 | Denmark
25.9k
|
25.9k | Copy |
| 16 | Kursk Oblast
below 10k
|
below 10k | Copy |
| 17 | Bandera
27.1k
|
27.1k | Copy |
| 18 | куди
below 10k
|
below 10k | Copy |
| 19 | #VenomNetwork
below 10k
|
below 10k | Copy |
| 20 | HIMARS
below 10k
|
below 10k | Copy |
| 21 | Bryansk
below 10k
|
below 10k | Copy |
| 22 | Karachev
below 10k
|
below 10k | Copy |
| 23 | London
175k
|
175k | Copy |
| 24 | Spain
52.4k
|
52.4k | Copy |
| 25 | WWIII
97.7k
|
97.7k | Copy |
| 26 | кндр
below 10k
|
below 10k | Copy |
| 27 | Crimea is Ukraine
below 10k
|
below 10k | Copy |
| 28 | $NXR
below 10k
|
below 10k | Copy |
| 29 | Godín
below 10k
|
below 10k | Copy |
| 30 | Stalin
24.8k
|
24.8k | Copy |
| 31 | Норм
below 10k
|
below 10k | Copy |
| 32 | $DRAGO
below 10k
|
below 10k | Copy |
| 33 | Hlukhiv
below 10k
|
below 10k | Copy |
| 34 | Донецке
below 10k
|
below 10k | Copy |
| 35 | NATO
211.9k
|
211.9k | Copy |
| 36 | ВС РФ
below 10k
|
below 10k | Copy |
| 37 | italy
78.1k
|
78.1k | Copy |
| 38 | Polish
18k
|
18k | Copy |
| 39 | НАТО
below 10k
|
below 10k | Copy |
| 40 | FOMO
27.4k
|
27.4k | Copy |
| 41 | Китай
below 10k
|
below 10k | Copy |
| 42 | Буде
below 10k
|
below 10k | Copy |
| 43 | Baltic Sea
25.3k
|
25.3k | Copy |
| 44 | Ясно
below 10k
|
below 10k | Copy |
| 45 | Курскую
below 10k
|
below 10k | Copy |
| 46 | Европа
below 10k
|
below 10k | Copy |
| 47 | DIN Chipper Nodes
below 10k
|
below 10k | Copy |
| 48 | Iranian
37.5k
|
37.5k | Copy |
| 49 | japan
937.7k
|
937.7k | 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 Dnipropetrovsk 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 Dnipropetrovsk .
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.