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 Milwaukee, as of 22 minutes ago.
Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
---|---|---|---|
1 | #mubb
below 10k
|
below 10k | Copy |
2 | Locke
below 10k
|
below 10k | Copy |
3 | Colorado
51.2k
|
51.2k | Copy |
4 | Ole Miss
33.4k
|
33.4k | Copy |
5 | Kansas
26.4k
|
26.4k | Copy |
6 | Travis Hunter
below 10k
|
below 10k | Copy |
7 | Indiana
61.4k
|
61.4k | Copy |
8 | Devin Neal
below 10k
|
below 10k | Copy |
9 | Gators
19.9k
|
19.9k | Copy |
10 | Jaxson Dart
below 10k
|
below 10k | Copy |
11 | Penn State
below 10k
|
below 10k | Copy |
12 | Shedeur
below 10k
|
below 10k | Copy |
13 | Shedeur
below 10k
|
below 10k | Copy |
14 | Ohio State
41.6k
|
41.6k | Copy |
15 | Olivia Miles
below 10k
|
below 10k | Copy |
16 | Wayne
140.8k
|
140.8k | Copy |
17 | Heisman
below 10k
|
below 10k | Copy |
18 | Quinn
15.5k
|
15.5k | Copy |
19 | Kounde
25k
|
25k | Copy |
20 | Minnesota
17.6k
|
17.6k | Copy |
21 | Fickell
below 10k
|
below 10k | Copy |
22 | Lane Kiffin
below 10k
|
below 10k | Copy |
23 | Florida
137k
|
137k | Copy |
24 | Cutter Boley
below 10k
|
below 10k | Copy |
25 | Surgeon General
193.8k
|
193.8k | Copy |
26 | Hannah Hidalgo
below 10k
|
below 10k | Copy |
27 | Nissan
24.4k
|
24.4k | Copy |
28 | Billy Napier
below 10k
|
below 10k | Copy |
29 | Stoops
below 10k
|
below 10k | Copy |
30 | James Franklin
below 10k
|
below 10k | Copy |
31 | Sark
below 10k
|
below 10k | Copy |
32 | Gophers
below 10k
|
below 10k | Copy |
33 | Jaydon Blue
below 10k
|
below 10k | Copy |
34 | Ryan Day
below 10k
|
below 10k | Copy |
35 | #Huskers
below 10k
|
below 10k | Copy |
36 | Cam Skattebo
below 10k
|
below 10k | Copy |
37 | Rutgers
below 10k
|
below 10k | Copy |
38 | Buffs
below 10k
|
below 10k | Copy |
39 | Emmett Johnson
below 10k
|
below 10k | Copy |
40 | Lagway
below 10k
|
below 10k | Copy |
41 | #HookEm
below 10k
|
below 10k | Copy |
42 | #BYUFootball
below 10k
|
below 10k | Copy |
43 | Allar
below 10k
|
below 10k | Copy |
44 | #kufball
below 10k
|
below 10k | Copy |
45 | Barca
80.3k
|
80.3k | Copy |
46 | UMass
below 10k
|
below 10k | Copy |
47 | Kiki
27.7k
|
27.7k | Copy |
48 | Mullings
below 10k
|
below 10k | Copy |
49 | Brooke Rollins
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 Milwaukee 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 Milwaukee .
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.