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 Baltimore, as of 47 minutes ago.
Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
---|---|---|---|
1 | Indiana
97.7k
|
97.7k | Copy |
2 | #GMMTVStarlympics2024
2.7k
|
2.7k | Copy |
3 | Notre Dame
72.1k
|
72.1k | Copy |
4 | Happy Winter Solstice
below 10k
|
below 10k | Copy |
5 | Shameik Moore
14.8k
|
14.8k | Copy |
6 | Ole Miss
below 10k
|
below 10k | Copy |
7 | Cignetti
14.2k
|
14.2k | Copy |
8 | Rickey Henderson
below 10k
|
below 10k | Copy |
9 | Vanderbilt
below 10k
|
below 10k | Copy |
10 | #CFBPlayoff
16.8k
|
16.8k | Copy |
11 | Gillie
below 10k
|
below 10k | Copy |
12 | Red Dawn
below 10k
|
below 10k | Copy |
13 | #ROHFinalBattle
22.2k
|
22.2k | Copy |
14 | Athena
14.7k
|
14.7k | Copy |
15 | Kazan
22.2k
|
22.2k | Copy |
16 | Happy Solstice
12.1k
|
12.1k | Copy |
17 | Christ is Lord
below 10k
|
below 10k | Copy |
18 | Big 10
27.3k
|
27.3k | Copy |
19 | 4-8 Kentucky
below 10k
|
below 10k | Copy |
20 | #robocoin
below 10k
|
below 10k | Copy |
21 | Lane
46.4k
|
46.4k | Copy |
22 | Yummy Bonanza
below 10k
|
below 10k | Copy |
23 | yujin
34.4k
|
34.4k | Copy |
24 | #GoIrish
19.9k
|
19.9k | Copy |
25 | Bandido
14k
|
14k | Copy |
26 | Rempe
below 10k
|
below 10k | Copy |
27 | Sonic 3
75.1k
|
75.1k | Copy |
28 | Roadhouse
below 10k
|
below 10k | Copy |
29 | Marcus Freeman
below 10k
|
below 10k | Copy |
30 | Big Ten
below 10k
|
below 10k | Copy |
31 | Alabama Jones
below 10k
|
below 10k | Copy |
32 | South Carolina
20.9k
|
20.9k | Copy |
33 | Trevino
below 10k
|
below 10k | Copy |
34 | Fernando Cruz
below 10k
|
below 10k | Copy |
35 | Hoosiers
below 10k
|
below 10k | Copy |
36 | Fat Joe
below 10k
|
below 10k | Copy |
37 | Kentucky and Florida
below 10k
|
below 10k | Copy |
38 | Saudi
296.1k
|
296.1k | Copy |
39 | Northern Illinois
below 10k
|
below 10k | Copy |
40 | Tel Aviv
54.7k
|
54.7k | Copy |
41 | Wallo
below 10k
|
below 10k | Copy |
42 | Riley Leonard
below 10k
|
below 10k | Copy |
43 | Gata Only
below 10k
|
below 10k | Copy |
44 | Saban
19.9k
|
19.9k | Copy |
45 | Matt Blake
below 10k
|
below 10k | Copy |
46 | Yemen
82.8k
|
82.8k | 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) Baltimore 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) Baltimore .
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.