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 São Paulo, as of 39 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | Botafogo
66.6k
|
66.6k | Copy |
| 2 | Hulk
31.3k
|
31.3k | Copy |
| 3 | Luiz Henrique
15.2k
|
15.2k | Copy |
| 4 | #ProvaDofazendeiro
16.1k
|
16.1k | Copy |
| 5 | #FicaSacha
below 10k
|
below 10k | Copy |
| 6 | Deyverson
below 10k
|
below 10k | Copy |
| 7 | Barboza
below 10k
|
below 10k | Copy |
| 8 | Rubens
11k
|
11k | Copy |
| 9 | #FicaBabi
below 10k
|
below 10k | Copy |
| 10 | #JinOnFallon
370.5k
|
370.5k | Copy |
| 11 | #FalasNegras
below 10k
|
below 10k | Copy |
| 12 | Mariano
21.5k
|
21.5k | Copy |
| 13 | Día 30
18.6k
|
18.6k | Copy |
| 14 | Marlon Freitas
below 10k
|
below 10k | Copy |
| 15 | RUNNING WILD ON FALLON
73.7k
|
73.7k | Copy |
| 16 | Otávio
below 10k
|
below 10k | Copy |
| 17 | Albert
40.1k
|
40.1k | Copy |
| 18 | Eduardo
58.5k
|
58.5k | Copy |
| 19 | Vitória
36.7k
|
36.7k | Copy |
| 20 | Cuiabá
15.7k
|
15.7k | Copy |
| 21 | Galisteu
below 10k
|
below 10k | Copy |
| 22 | coachella
573.9k
|
573.9k | Copy |
| 23 | Flamengo de 2019
below 10k
|
below 10k | Copy |
| 24 | Estilingue
below 10k
|
below 10k | Copy |
| 25 | Criciúma
below 10k
|
below 10k | Copy |
| 26 | bairro
11.1k
|
11.1k | Copy |
| 27 | Almada
below 10k
|
below 10k | Copy |
| 28 | Thom
10.9k
|
10.9k | Copy |
| 29 | Kesha
below 10k
|
below 10k | Copy |
| 30 | Botafoguense
below 10k
|
below 10k | Copy |
| 31 | Liberta
16.4k
|
16.4k | Copy |
| 32 | Clube Atlético Mineiro
below 10k
|
below 10k | Copy |
| 33 | O Grêmio
15.4k
|
15.4k | Copy |
| 34 | Alex Telles
below 10k
|
below 10k | Copy |
| 35 | Savarino
below 10k
|
below 10k | Copy |
| 36 | Elphaba
12.6k
|
12.6k | Copy |
| 37 | Pitta
below 10k
|
below 10k | Copy |
| 38 | Angelica
16.3k
|
16.3k | Copy |
| 39 | Cristaldo
below 10k
|
below 10k | Copy |
| 40 | #FallonTonight
353.9k
|
353.9k | Copy |
| 41 | #AskDirectioner
below 10k
|
below 10k | Copy |
| 42 | #EliminacaoAFazenda
below 10k
|
below 10k | Copy |
| 43 | #AvisaLaQueEuVou
below 10k
|
below 10k | Copy |
| 44 | #TheHeartkilersEP1
below 10k
|
below 10k | Copy |
| 45 | #TheHeartKillersEP1
527
|
527 | Copy |
| 46 | #JinOnFallon
139
|
139 | Copy |
| 47 | #FallonTonight
474
|
474 | Copy |
| 48 | #liampayne
557
|
557 | Copy |
| 49 | #BlankRecapSS2Ep6
276
|
276 | 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 São Paulo 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 São Paulo .
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.