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 Columbus, as of 40 minutes ago.
Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
---|---|---|---|
1 | Cope
61.2k
|
61.2k | Copy |
2 | ESPN
76.3k
|
76.3k | Copy |
3 | Ohio State
150k
|
150k | Copy |
4 | Ryan Day
28.3k
|
28.3k | Copy |
5 | Michigan
49.5k
|
49.5k | Copy |
6 | Notre Dame
112.8k
|
112.8k | Copy |
7 | Howard
53.6k
|
53.6k | Copy |
8 | Jeremiah Smith
23.3k
|
23.3k | Copy |
9 | National Champions
30.1k
|
30.1k | Copy |
10 | #GoBucks
38.2k
|
38.2k | Copy |
11 | #OnyxStorm
below 10k
|
below 10k | Copy |
12 | Nazis
260k
|
260k | Copy |
13 | Natty
36.6k
|
36.6k | Copy |
14 | #WWERaw
73.7k
|
73.7k | Copy |
15 | Marcus Freeman
14.1k
|
14.1k | Copy |
16 | AirGold
below 10k
|
below 10k | Copy |
17 | Gulf of Mexico
99.2k
|
99.2k | Copy |
18 | Barron
328.3k
|
328.3k | Copy |
19 | Bruce
75.6k
|
75.6k | Copy |
20 | Denali
20.4k
|
20.4k | Copy |
21 | Lou Holtz
below 10k
|
below 10k | Copy |
22 | World Health Organization
144.1k
|
144.1k | Copy |
23 | Gulf of America
143.4k
|
143.4k | Copy |
24 | #CFBPlayoff
26.7k
|
26.7k | Copy |
25 | Chip Kelly
below 10k
|
below 10k | Copy |
26 | Riley Leonard
15.8k
|
15.8k | Copy |
27 | 2019 LSU
below 10k
|
below 10k | Copy |
28 | Judkins
12.4k
|
12.4k | Copy |
29 | Roman
104.8k
|
104.8k | Copy |
30 | #RawOnNetflix
38.7k
|
38.7k | Copy |
31 | Defund PBS
23.3k
|
23.3k | Copy |
32 | Ibou
below 10k
|
below 10k | Copy |
33 | Zverev
below 10k
|
below 10k | Copy |
34 | Amara
below 10k
|
below 10k | Copy |
35 | Al Golden
below 10k
|
below 10k | Copy |
36 | Tommy Paul
below 10k
|
below 10k | Copy |
37 | Coach Day
11.6k
|
11.6k | Copy |
38 | Chennedy
below 10k
|
below 10k | Copy |
39 | McKinley
24.3k
|
24.3k | Copy |
40 | Brian Kelly
below 10k
|
below 10k | Copy |
41 | Travis Scott
16k
|
16k | Copy |
42 | Sami
37.6k
|
37.6k | Copy |
43 | Oregon and Texas
below 10k
|
below 10k | Copy |
44 | Asperger
10.6k
|
10.6k | Copy |
45 | Cover 0
below 10k
|
below 10k | Copy |
46 | Katie
27k
|
27k | Copy |
47 | The ADL
62.5k
|
62.5k | Copy |
48 | The WHO
1.9k
|
1.9k | Copy |
49 | Ross
102.6k
|
102.6k | 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) Columbus 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) Columbus .
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.