Our platform stores and analyzes 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 Twitter trending topics Virginia Beach, as of 26 minutes ago.
Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
---|---|---|---|
1 | Jamal Murray
below 10k
|
below 10k | Copy |
2 | Anthony Edwards
22.4k
|
22.4k | Copy |
3 | Game 7
55.4k
|
55.4k | Copy |
4 | billie
161.3k
|
161.3k | Copy |
5 | Wolves
58.7k
|
58.7k | Copy |
6 | Rangers
64.6k
|
64.6k | Copy |
7 | Kreider
21.8k
|
21.8k | Copy |
8 | Canes
36.3k
|
36.3k | Copy |
9 | #hitmehardandsoft
below 10k
|
below 10k | Copy |
10 | Houston
73.7k
|
73.7k | Copy |
11 | Crockett
26.2k
|
26.2k | Copy |
12 | #BridgertonS3
17.6k
|
17.6k | Copy |
13 | Elly
11.6k
|
11.6k | Copy |
14 | #BleachBlondeBadBuiltButchBody
below 10k
|
below 10k | Copy |
15 | Nuggets
60.3k
|
60.3k | Copy |
16 | Alito
122.7k
|
122.7k | Copy |
17 | #CriticalRoleSpoilers
below 10k
|
below 10k | Copy |
18 | CHIHIRO
19.4k
|
19.4k | Copy |
19 | #DENvsMIN
below 10k
|
below 10k | Copy |
20 | Jaden McDaniels
below 10k
|
below 10k | Copy |
21 | Raskin
22.8k
|
22.8k | Copy |
22 | Boosie
below 10k
|
below 10k | Copy |
23 | Luka Garza
below 10k
|
below 10k | Copy |
24 | Igor
23.6k
|
23.6k | Copy |
25 | Fever
44.2k
|
44.2k | Copy |
26 | Hagen Smith
below 10k
|
below 10k | Copy |
27 | Penelope
102.4k
|
102.4k | Copy |
28 | Glasnow
below 10k
|
below 10k | Copy |
29 | BIRDS OF A FEATHER
below 10k
|
below 10k | Copy |
30 | Austin Barnes
below 10k
|
below 10k | Copy |
31 | Colin
159.2k
|
159.2k | Copy |
32 | Mike Conley
below 10k
|
below 10k | Copy |
33 | Losing by 45
below 10k
|
below 10k | Copy |
34 | iMessage
30.5k
|
30.5k | Copy |
35 | Nick Martinez
below 10k
|
below 10k | Copy |
36 | Tyga
below 10k
|
below 10k | Copy |
37 | Stewie
below 10k
|
below 10k | Copy |
38 | Supreme Court
236.5k
|
236.5k | Copy |
39 | Breanna Stewart
below 10k
|
below 10k | Copy |
40 | Silk
13.8k
|
13.8k | Copy |
41 | Andersen
below 10k
|
below 10k | Copy |
42 | Malenia
16.1k
|
16.1k | Copy |
43 | Martinook
below 10k
|
below 10k | Copy |
44 | GAME SEVEN
below 10k
|
below 10k | Copy |
45 | Target Center
below 10k
|
below 10k | Copy |
46 | Caitlin
28.2k
|
28.2k | Copy |
47 | Kreids
below 10k
|
below 10k | Copy |
48 | Edwin Diaz
below 10k
|
below 10k | 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 Twitter Virginia Beach with our automated page. Our page utilizes the official 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 Twitter Virginia Beach .
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 Twitter are not influenced by personal opinions or paid promotions, but rather reflect the interests and conversations of the 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.
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, Twitter's trending algorithm is able to identify trends that are both popular and relevant to the current conversation on the platform.