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 Montreal, as of 50 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | Trump
8.5k
|
8.5k | Copy |
| 2 | Trump
7.8k
|
7.8k | Copy |
| 3 | McDavid
10.7k
|
10.7k | Copy |
| 4 | Fauci
1.4k
|
1.4k | Copy |
| 5 | Garland
41.8k
|
41.8k | Copy |
| 6 | Biden
3.9k
|
3.9k | Copy |
| 7 | America
2.9k
|
2.9k | Copy |
| 8 | Myers
12.3k
|
12.3k | Copy |
| 9 | Elon
2.1k
|
2.1k | Copy |
| 10 | Nazis
300.3k
|
300.3k | Copy |
| 11 | #NationalChampionship
19.3k
|
19.3k | Copy |
| 12 | Mark Andrews
47.8k
|
47.8k | Copy |
| 13 | Blue Monday
46.2k
|
46.2k | Copy |
| 14 | #MLKDay
155k
|
155k | Copy |
| 15 | Roman
113.3k
|
113.3k | Copy |
| 16 | TikTok
2.1k
|
2.1k | Copy |
| 17 | Gulf of Mexico
105.3k
|
105.3k | Copy |
| 18 | Notre Dame
115.2k
|
115.2k | Copy |
| 19 | Buckeyes
64.7k
|
64.7k | Copy |
| 20 | #GoIrish
22.2k
|
22.2k | Copy |
| 21 | #WWERaw
76.5k
|
76.5k | Copy |
| 22 | #CFBPlayoff
28.2k
|
28.2k | Copy |
| 23 | LCBO
below 10k
|
below 10k | Copy |
| 24 | Sanchez
198.6k
|
198.6k | Copy |
| 25 | Danielle Smith
46k
|
46k | Copy |
| 26 | Ohio State
156.5k
|
156.5k | Copy |
| 27 | Chalobah
50.9k
|
50.9k | Copy |
| 28 | Ryan Day
31.3k
|
31.3k | Copy |
| 29 | Anthony Santander
below 10k
|
below 10k | Copy |
| 30 | Bible
234.3k
|
234.3k | Copy |
| 31 | Vatican
48.2k
|
48.2k | Copy |
| 32 | Zach
20.7k
|
20.7k | Copy |
| 33 | World Health Organization
166.7k
|
166.7k | Copy |
| 34 | Sami
38.4k
|
38.4k | Copy |
| 35 | Pardons
1.8k
|
1.8k | Copy |
| 36 | Lamar
98.6k
|
98.6k | Copy |
| 37 | Noni
20.8k
|
20.8k | Copy |
| 38 | Leonard Peltier
49.4k
|
49.4k | Copy |
| 39 | JEREMIAH SMITH
25.6k
|
25.6k | Copy |
| 40 | Canada and Mexico
37.8k
|
37.8k | Copy |
| 41 | Fetterman
63.7k
|
63.7k | Copy |
| 42 | Nick Paul
below 10k
|
below 10k | Copy |
| 43 | Madueke
30.8k
|
30.8k | Copy |
| 44 | The NHL
14.7k
|
14.7k | Copy |
| 45 | Carmen Sandiego
below 10k
|
below 10k | Copy |
| 46 | parros
below 10k
|
below 10k | Copy |
| 47 | Karlsson
below 10k
|
below 10k | Copy |
| 48 | Bayley
below 10k
|
below 10k | Copy |
| 49 | DoPS
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) Montreal 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) Montreal .
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.