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 São Paulo, as of 17 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | #SoGoodMV_HYUNJIN
37.5k
|
37.5k | Copy |
| 2 | #GMMTVStarlympics2024
3.3k
|
3.3k | Copy |
| 3 | Roberto Carlos
below 10k
|
below 10k | Copy |
| 4 | #EspecialRC
below 10k
|
below 10k | Copy |
| 5 | Basso
below 10k
|
below 10k | Copy |
| 6 | #OFim
33.3k
|
33.3k | Copy |
| 7 | Paulinho
17.8k
|
17.8k | Copy |
| 8 | Marcao
below 10k
|
below 10k | Copy |
| 9 | Lana
122.3k
|
122.3k | Copy |
| 10 | Rafinha
16.1k
|
16.1k | Copy |
| 11 | Matheus Pereira
below 10k
|
below 10k | Copy |
| 12 | Nene
30.3k
|
30.3k | Copy |
| 13 | Hércules
below 10k
|
below 10k | Copy |
| 14 | Superman
300k
|
300k | Copy |
| 15 | Natal
171.9k
|
171.9k | Copy |
| 16 | #VoleiNoSporTV
below 10k
|
below 10k | Copy |
| 17 | Natinha
below 10k
|
below 10k | Copy |
| 18 | $ZORT
below 10k
|
below 10k | Copy |
| 19 | $FOMO
below 10k
|
below 10k | Copy |
| 20 | Marcos Miranda
below 10k
|
below 10k | Copy |
| 21 | Gemini
332k
|
332k | Copy |
| 22 | Fernandinho
below 10k
|
below 10k | Copy |
| 23 | Bolasie
below 10k
|
below 10k | Copy |
| 24 | Carille
below 10k
|
below 10k | Copy |
| 25 | Braithwaite
below 10k
|
below 10k | Copy |
| 26 | Sasha
18.3k
|
18.3k | Copy |
| 27 | Daniel Silveira
27.4k
|
27.4k | Copy |
| 28 | Cacá
27.8k
|
27.8k | Copy |
| 29 | Alan Patrick
below 10k
|
below 10k | Copy |
| 30 | Payton
below 10k
|
below 10k | Copy |
| 31 | Enel
below 10k
|
below 10k | Copy |
| 32 | Ganso
below 10k
|
below 10k | Copy |
| 33 | Stranger Things
30.8k
|
30.8k | Copy |
| 34 | Dakota
12.6k
|
12.6k | Copy |
| 35 | Alemanha
15.8k
|
15.8k | Copy |
| 36 | Everton Ribeiro
below 10k
|
below 10k | Copy |
| 37 | $BCT
below 10k
|
below 10k | Copy |
| 38 | Jeonghan
103.8k
|
103.8k | Copy |
| 39 | Serjão
below 10k
|
below 10k | Copy |
| 40 | Vizeu
below 10k
|
below 10k | Copy |
| 41 | Nanon
64.4k
|
64.4k | Copy |
| 42 | YELLOW TEAM ENGLOT
807.9k
|
807.9k | Copy |
| 43 | Gabi
20.3k
|
20.3k | Copy |
| 44 | SOS Deluxe
42.6k
|
42.6k | Copy |
| 45 | DPVAT
below 10k
|
below 10k | Copy |
| 46 | nia reed
below 10k
|
below 10k | Copy |
| 47 | Depay
below 10k
|
below 10k | Copy |
| 48 | Firmino
below 10k
|
below 10k | Copy |
| 49 | JD SHADOW EAGLE
59.2k
|
59.2k | 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) São Paulo 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) São Paulo .
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.