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 Tampa, as of 24 minutes ago.
Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
---|---|---|---|
1 | Clippers
below 10k
|
below 10k | Copy |
2 | Knicks
17.3k
|
17.3k | Copy |
3 | Laken
379.2k
|
379.2k | Copy |
4 | #JinOnFallon
349.9k
|
349.9k | Copy |
5 | #RHOSLC
below 10k
|
below 10k | Copy |
6 | #CMAawards
19.7k
|
19.7k | Copy |
7 | Diddy
92.5k
|
92.5k | Copy |
8 | Nikki
46k
|
46k | Copy |
9 | Sixers
16.1k
|
16.1k | Copy |
10 | #My82Playlist
below 10k
|
below 10k | Copy |
11 | Adani
350.7k
|
350.7k | Copy |
12 | Paul George
below 10k
|
below 10k | Copy |
13 | Suns
12.1k
|
12.1k | Copy |
14 | Happy Birthday Nerissa
below 10k
|
below 10k | Copy |
15 | Bitcoin
591.6k
|
591.6k | Copy |
16 | Coachella
561k
|
561k | Copy |
17 | Jalen Brunson
below 10k
|
below 10k | Copy |
18 | seokjin
139k
|
139k | Copy |
19 | Mark Sears
below 10k
|
below 10k | Copy |
20 | Dunn
below 10k
|
below 10k | Copy |
21 | Grayson Allen
below 10k
|
below 10k | Copy |
22 | Beal
below 10k
|
below 10k | Copy |
23 | Jordan Miller
below 10k
|
below 10k | Copy |
24 | Jay Leno
25.8k
|
25.8k | Copy |
25 | Podz
below 10k
|
below 10k | Copy |
26 | Ellen DeGeneres
58.6k
|
58.6k | Copy |
27 | George Strait
below 10k
|
below 10k | Copy |
28 | Embiid
15.9k
|
15.9k | Copy |
29 | Chris Stapleton
below 10k
|
below 10k | Copy |
30 | CMAs
below 10k
|
below 10k | Copy |
31 | Morgan Wallen
below 10k
|
below 10k | Copy |
32 | Meredith
below 10k
|
below 10k | Copy |
33 | Labaron Philon
below 10k
|
below 10k | Copy |
34 | Trae Young
below 10k
|
below 10k | Copy |
35 | Bronwyn
below 10k
|
below 10k | Copy |
36 | SWARM
below 10k
|
below 10k | Copy |
37 | Shay
20.3k
|
20.3k | Copy |
38 | 100k BTC
37.5k
|
37.5k | Copy |
39 | minghao
29.6k
|
29.6k | Copy |
40 | 76ers
below 10k
|
below 10k | Copy |
41 | Amir Coffey
below 10k
|
below 10k | Copy |
42 | Thomas Sowell
below 10k
|
below 10k | Copy |
43 | Kesha
below 10k
|
below 10k | Copy |
44 | Bogi
below 10k
|
below 10k | Copy |
45 | AJ Green
below 10k
|
below 10k | Copy |
46 | Darby
below 10k
|
below 10k | Copy |
47 | Cal Poly
below 10k
|
below 10k | Copy |
48 | Hampton Inn
15.8k
|
15.8k | Copy |
49 | Oceano
below 10k
|
below 10k | 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 Tampa 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 Tampa .
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.