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 Boston, as of 20 minutes ago.
Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
---|---|---|---|
1 | Ohio State
150.1k
|
150.1k | Copy |
2 | Ryan Day
29.4k
|
29.4k | Copy |
3 | Michigan
49.1k
|
49.1k | Copy |
4 | Notre Dame
113.4k
|
113.4k | Copy |
5 | Howard
54.6k
|
54.6k | Copy |
6 | Jeremiah Smith
24.2k
|
24.2k | Copy |
7 | National Champions
30k
|
30k | Copy |
8 | #GoBucks
38.2k
|
38.2k | Copy |
9 | #OnyxStorm
below 10k
|
below 10k | Copy |
10 | Nazis
261.7k
|
261.7k | Copy |
11 | Natty
36.9k
|
36.9k | Copy |
12 | #WWERaw
74.1k
|
74.1k | Copy |
13 | Marcus Freeman
14.4k
|
14.4k | Copy |
14 | AirGold
below 10k
|
below 10k | Copy |
15 | Gulf of Mexico
100.3k
|
100.3k | Copy |
16 | Barron
322k
|
322k | Copy |
17 | Denali
21.2k
|
21.2k | Copy |
18 | Bruce
75.7k
|
75.7k | Copy |
19 | Lou Holtz
below 10k
|
below 10k | Copy |
20 | World Health Organization
144.4k
|
144.4k | Copy |
21 | Gulf of America
144k
|
144k | Copy |
22 | #CFBPlayoff
26.9k
|
26.9k | Copy |
23 | Chip Kelly
below 10k
|
below 10k | Copy |
24 | Riley Leonard
15.4k
|
15.4k | Copy |
25 | 2019 LSU
below 10k
|
below 10k | Copy |
26 | Judkins
13.4k
|
13.4k | Copy |
27 | Roman
104.3k
|
104.3k | Copy |
28 | #RawOnNetflix
39k
|
39k | Copy |
29 | Defund PBS
23.2k
|
23.2k | Copy |
30 | Ibou
below 10k
|
below 10k | Copy |
31 | Amara
below 10k
|
below 10k | Copy |
32 | Zverev
below 10k
|
below 10k | Copy |
33 | Al Golden
below 10k
|
below 10k | Copy |
34 | Tommy Paul
below 10k
|
below 10k | Copy |
35 | Coach Day
11.3k
|
11.3k | Copy |
36 | Chennedy
below 10k
|
below 10k | Copy |
37 | McKinley
25.1k
|
25.1k | Copy |
38 | Brian Kelly
below 10k
|
below 10k | Copy |
39 | Travis Scott
15.7k
|
15.7k | Copy |
40 | Sami
35.8k
|
35.8k | Copy |
41 | Oregon and Texas
below 10k
|
below 10k | Copy |
42 | Asperger
11.2k
|
11.2k | Copy |
43 | Katie
27.2k
|
27.2k | Copy |
44 | The ADL
63.3k
|
63.3k | Copy |
45 | The WHO
2.3k
|
2.3k | Copy |
46 | DC Gulag
28.8k
|
28.8k | Copy |
47 | TTUN
below 10k
|
below 10k | Copy |
48 | Liberty Ball
18.1k
|
18.1k | Copy |
49 | Christian Gray
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 X (Twitter) Boston 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) Boston .
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.