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 New York, as of 35 minutes ago.
Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
---|---|---|---|
1 | Michigan
44.2k
|
44.2k | Copy |
2 | Pelicans
below 10k
|
below 10k | Copy |
3 | Bregman
below 10k
|
below 10k | Copy |
4 | Tank
70.8k
|
70.8k | Copy |
5 | Vientos
below 10k
|
below 10k | Copy |
6 | Arenado
below 10k
|
below 10k | Copy |
7 | Alonso
19.9k
|
19.9k | Copy |
8 | Mahomes
38k
|
38k | Copy |
9 | Goldy
below 10k
|
below 10k | Copy |
10 | Goldschmidt
15.8k
|
15.8k | Copy |
11 | Tennessee
68.5k
|
68.5k | Copy |
12 | Ohio State
45.9k
|
45.9k | Copy |
13 | Buckeyes
11.3k
|
11.3k | Copy |
14 | Clemson
52.3k
|
52.3k | Copy |
15 | Usyk
194.6k
|
194.6k | Copy |
16 | Jeremiah Smith
below 10k
|
below 10k | Copy |
17 | Ravens
80.4k
|
80.4k | Copy |
18 | Steelers
66.6k
|
66.6k | Copy |
19 | Russ
24.3k
|
24.3k | Copy |
20 | Ryan Day
below 10k
|
below 10k | Copy |
21 | Howard
21.1k
|
21.1k | Copy |
22 | Lamar
52.9k
|
52.9k | Copy |
23 | #GoBucks
below 10k
|
below 10k | Copy |
24 | #AEWCollision
below 10k
|
below 10k | Copy |
25 | Panama Canal
30.5k
|
30.5k | Copy |
26 | Paige
13.7k
|
13.7k | Copy |
27 | #LAMH
below 10k
|
below 10k | Copy |
28 | #CFBPlayoff
35.5k
|
35.5k | Copy |
29 | UConn
below 10k
|
below 10k | Copy |
30 | Naylor
below 10k
|
below 10k | Copy |
31 | Nico
66.8k
|
66.8k | Copy |
32 | Rickey
97.3k
|
97.3k | Copy |
33 | Texas
145.6k
|
145.6k | Copy |
34 | #HookEm
15.8k
|
15.8k | Copy |
35 | Derrick Henry
below 10k
|
below 10k | Copy |
36 | Tomlin
below 10k
|
below 10k | Copy |
37 | Heupel
below 10k
|
below 10k | Copy |
38 | Tim Banks
below 10k
|
below 10k | Copy |
39 | Jack Sawyer
below 10k
|
below 10k | Copy |
40 | Minkah
below 10k
|
below 10k | Copy |
41 | Juju Watkins
below 10k
|
below 10k | Copy |
42 | The SEC
116.6k
|
116.6k | Copy |
43 | Columbus
19.6k
|
19.6k | Copy |
44 | Rocky Top
below 10k
|
below 10k | Copy |
45 | Chip Kelly
below 10k
|
below 10k | Copy |
46 | Dabo
below 10k
|
below 10k | Copy |
47 | The Vols
12k
|
12k | Copy |
48 | Marlon
14.8k
|
14.8k | Copy |
49 | Kentucky
39.8k
|
39.8k | 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) New York 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) New York .
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.