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 Rio de Janeiro, as of 5 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | Kendrick
950k
|
950k | Copy |
| 2 | #Arcane
220.6k
|
220.6k | Copy |
| 3 | MADDIE
13.4k
|
13.4k | Copy |
| 4 | #Bolsonaro2026
81k
|
81k | Copy |
| 5 | Ekko
26.1k
|
26.1k | Copy |
| 6 | SEVENTEEN
975.1k
|
975.1k | Copy |
| 7 | Fortaleza
21.6k
|
21.6k | Copy |
| 8 | cait
20.5k
|
20.5k | Copy |
| 9 | jayce
42.2k
|
42.2k | Copy |
| 10 | woozi
270.5k
|
270.5k | Copy |
| 11 | Perez
98.9k
|
98.9k | Copy |
| 12 | Martinelli
below 10k
|
below 10k | Copy |
| 13 | cheol
12.7k
|
12.7k | Copy |
| 14 | Colapinto
42k
|
42k | Copy |
| 15 | #F1naBand
below 10k
|
below 10k | Copy |
| 16 | #UFCBR
below 10k
|
below 10k | Copy |
| 17 | luan no podpah
below 10k
|
below 10k | Copy |
| 18 | viktor
66.8k
|
66.8k | Copy |
| 19 | keno
below 10k
|
below 10k | Copy |
| 20 | #CongratsOrmkorn
1.5k
|
1.5k | Copy |
| 21 | aespa
451.6k
|
451.6k | Copy |
| 22 | Thiago Silva
below 10k
|
below 10k | Copy |
| 23 | soyeon
21.9k
|
21.9k | Copy |
| 24 | PROUD OF ORM
990.7k
|
990.7k | Copy |
| 25 | LEBLANC
below 10k
|
below 10k | Copy |
| 26 | ANILPIN IN MACAU
93.2k
|
93.2k | Copy |
| 27 | Gasly
11.7k
|
11.7k | Copy |
| 28 | BIGBANG
259.7k
|
259.7k | Copy |
| 29 | Luther
70.9k
|
70.9k | Copy |
| 30 | CASSANDRA
39.3k
|
39.3k | Copy |
| 31 | Hamilton
35.5k
|
35.5k | Copy |
| 32 | $leafs
below 10k
|
below 10k | Copy |
| 33 | Song of the Year
157.3k
|
157.3k | Copy |
| 34 | LORIS
below 10k
|
below 10k | Copy |
| 35 | Wicked
253.3k
|
253.3k | Copy |
| 36 | NATAL DA XEQUE
below 10k
|
below 10k | Copy |
| 37 | Cuca
below 10k
|
below 10k | Copy |
| 38 | Eduardo Paes
below 10k
|
below 10k | Copy |
| 39 | marinho
below 10k
|
below 10k | Copy |
| 40 | Mauro Cid
19.9k
|
19.9k | Copy |
| 41 | Rio das Pedras
below 10k
|
below 10k | Copy |
| 42 | Carrefour
21.2k
|
21.2k | Copy |
| 43 | Botafogo
23.4k
|
23.4k | Copy |
| 44 | Paiva
below 10k
|
below 10k | Copy |
| 45 | CANO
13.9k
|
13.9k | Copy |
| 46 | Alpine
below 10k
|
below 10k | Copy |
| 47 | Renato Augusto
below 10k
|
below 10k | Copy |
| 48 | Jinx
128.4k
|
128.4k | Copy |
| 49 | Soojin
19.6k
|
19.6k | 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 Rio de Janeiro 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 Rio de Janeiro .
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.