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 Haven, as of 40 minutes ago.
Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
---|---|---|---|
1 | Indiana
96.7k
|
96.7k | Copy |
2 | #SoGoodMV_HYUNJIN
19.4k
|
19.4k | Copy |
3 | #GMMTVStarlympics2024
3k
|
3k | Copy |
4 | Happy Winter Solstice
12.2k
|
12.2k | Copy |
5 | Notre Dame
71.5k
|
71.5k | Copy |
6 | Shameik Moore
16.1k
|
16.1k | Copy |
7 | Ole Miss
below 10k
|
below 10k | Copy |
8 | Rickey Henderson
below 10k
|
below 10k | Copy |
9 | Cignetti
14.5k
|
14.5k | Copy |
10 | Happy Solstice
13.4k
|
13.4k | Copy |
11 | Lane
45.8k
|
45.8k | Copy |
12 | #CFBPlayoff
17k
|
17k | Copy |
13 | Christ is Lord
below 10k
|
below 10k | Copy |
14 | Vanderbilt
below 10k
|
below 10k | Copy |
15 | Red Dawn
below 10k
|
below 10k | Copy |
16 | Gillie
below 10k
|
below 10k | Copy |
17 | Athena
13.8k
|
13.8k | Copy |
18 | 4-8 Kentucky
below 10k
|
below 10k | Copy |
19 | Big 10
28.3k
|
28.3k | Copy |
20 | #ROHFinalBattle
22.6k
|
22.6k | Copy |
21 | Yummy Bonanza
below 10k
|
below 10k | Copy |
22 | Bandido
13.5k
|
13.5k | Copy |
23 | yujin
34.1k
|
34.1k | Copy |
24 | Sonic 3
74.8k
|
74.8k | Copy |
25 | Roadhouse
below 10k
|
below 10k | Copy |
26 | Fat Joe
below 10k
|
below 10k | Copy |
27 | #BelleCollective
below 10k
|
below 10k | Copy |
28 | Alabama Jones
below 10k
|
below 10k | Copy |
29 | Trevino
below 10k
|
below 10k | Copy |
30 | Rempe
below 10k
|
below 10k | Copy |
31 | Big Ten
below 10k
|
below 10k | Copy |
32 | Northern Illinois
below 10k
|
below 10k | Copy |
33 | Kentucky and Florida
below 10k
|
below 10k | Copy |
34 | Tel Aviv
56.2k
|
56.2k | Copy |
35 | Cruz
56.6k
|
56.6k | Copy |
36 | South Carolina
19.6k
|
19.6k | Copy |
37 | Saudi
310.2k
|
310.2k | Copy |
38 | Riley Leonard
below 10k
|
below 10k | Copy |
39 | Gata Only
below 10k
|
below 10k | Copy |
40 | Marcus Freeman
below 10k
|
below 10k | Copy |
41 | Matt Blake
below 10k
|
below 10k | Copy |
42 | Yemen
84.6k
|
84.6k | Copy |
43 | German Christmas
below 10k
|
below 10k | Copy |
44 | Prada
22.8k
|
22.8k | Copy |
45 | Naomi
24k
|
24k | Copy |
46 | Jericho
below 10k
|
below 10k | Copy |
47 | Sugar Bowl
below 10k
|
below 10k | Copy |
48 | Rourke
below 10k
|
below 10k | Copy |
49 | Mufasa
68.8k
|
68.8k | 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 Haven 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 Haven .
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.