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 Cleveland, as of 4 minutes ago.
Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
---|---|---|---|
1 | Cope
59.6k
|
59.6k | Copy |
2 | ESPN
77.1k
|
77.1k | Copy |
3 | Ohio State
149.1k
|
149.1k | Copy |
4 | Ryan Day
28.9k
|
28.9k | Copy |
5 | Notre Dame
113k
|
113k | Copy |
6 | Michigan
49.5k
|
49.5k | Copy |
7 | Howard
53.8k
|
53.8k | Copy |
8 | National Champions
30k
|
30k | Copy |
9 | #GoBucks
37.9k
|
37.9k | Copy |
10 | Jeremiah Smith
23.9k
|
23.9k | Copy |
11 | Natty
36.4k
|
36.4k | Copy |
12 | Nazis
251.2k
|
251.2k | Copy |
13 | Marcus Freeman
14k
|
14k | Copy |
14 | #WWERaw
73.3k
|
73.3k | Copy |
15 | AirGold
below 10k
|
below 10k | Copy |
16 | Tommy Paul
below 10k
|
below 10k | Copy |
17 | #OnyxStorm
below 10k
|
below 10k | Copy |
18 | Barron
322.1k
|
322.1k | Copy |
19 | Gulf of Mexico
97.9k
|
97.9k | Copy |
20 | #CFBPlayoff
26.7k
|
26.7k | Copy |
21 | Lou Holtz
below 10k
|
below 10k | Copy |
22 | Chip Kelly
below 10k
|
below 10k | Copy |
23 | Riley Leonard
15.8k
|
15.8k | Copy |
24 | Denali
20.9k
|
20.9k | Copy |
25 | Bruce
75k
|
75k | Copy |
26 | World Health Organization
139.3k
|
139.3k | Copy |
27 | Gulf of America
142.6k
|
142.6k | Copy |
28 | Judkins
13k
|
13k | Copy |
29 | 2019 LSU
below 10k
|
below 10k | Copy |
30 | Roman
101.8k
|
101.8k | Copy |
31 | #RawOnNetflix
38.1k
|
38.1k | Copy |
32 | Jaden Greathouse
below 10k
|
below 10k | Copy |
33 | Ibou
below 10k
|
below 10k | Copy |
34 | Defund PBS
21.8k
|
21.8k | Copy |
35 | Al Golden
below 10k
|
below 10k | Copy |
36 | Zverev
below 10k
|
below 10k | Copy |
37 | Brian Kelly
below 10k
|
below 10k | Copy |
38 | Chennedy
below 10k
|
below 10k | Copy |
39 | Coach Day
11.7k
|
11.7k | Copy |
40 | Amara
below 10k
|
below 10k | Copy |
41 | McKinley
24.1k
|
24.1k | Copy |
42 | Travis Scott
16k
|
16k | Copy |
43 | Sami
35.9k
|
35.9k | Copy |
44 | Oregon and Texas
below 10k
|
below 10k | Copy |
45 | Cover 0
below 10k
|
below 10k | Copy |
46 | TTUN
below 10k
|
below 10k | Copy |
47 | Asperger
below 10k
|
below 10k | Copy |
48 | Ross
102.1k
|
102.1k | Copy |
49 | DC Gulag
28k
|
28k | 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) Cleveland 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) Cleveland .
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.