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 Palermo, as of 26 minutes ago.
Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
---|---|---|---|
1 | #uominiedonne
below 10k
|
below 10k | Copy |
2 | #ottoemezzo
below 10k
|
below 10k | Copy |
3 | Musk
445.3k
|
445.3k | Copy |
4 | #LAmicaGeniale
13k
|
13k | Copy |
5 | #12novembre
below 10k
|
below 10k | Copy |
6 | Montella
below 10k
|
below 10k | Copy |
7 | Bologna
21.2k
|
21.2k | Copy |
8 | Bonafe
below 10k
|
below 10k | Copy |
9 | Albania
21.2k
|
21.2k | Copy |
10 | Lepore
below 10k
|
below 10k | Copy |
11 | Micaela
below 10k
|
below 10k | Copy |
12 | Fitto
below 10k
|
below 10k | Copy |
13 | Karima
below 10k
|
below 10k | Copy |
14 | CasaPound
below 10k
|
below 10k | Copy |
15 | Scaroni
below 10k
|
below 10k | Copy |
16 | Roma
56.9k
|
56.9k | Copy |
17 | Richard Gere
below 10k
|
below 10k | Copy |
18 | Gubbio
below 10k
|
below 10k | Copy |
19 | Vespa
below 10k
|
below 10k | Copy |
20 | Lenù
below 10k
|
below 10k | Copy |
21 | Costituzione
below 10k
|
below 10k | Copy |
22 | Sarri
below 10k
|
below 10k | Copy |
23 | Privato
below 10k
|
below 10k | Copy |
24 | Ramos
23.4k
|
23.4k | Copy |
25 | Nino Sarratore
below 10k
|
below 10k | Copy |
26 | Napoli
below 10k
|
below 10k | Copy |
27 | Lila
below 10k
|
below 10k | Copy |
28 | Rugani
below 10k
|
below 10k | Copy |
29 | Danilo
below 10k
|
below 10k | Copy |
30 | Panatta
below 10k
|
below 10k | Copy |
31 | Elena
21.4k
|
21.4k | Copy |
32 | Rocchi
below 10k
|
below 10k | Copy |
33 | Undertaker
below 10k
|
below 10k | Copy |
34 | Bannon
56.9k
|
56.9k | Copy |
35 | Gran Sasso
below 10k
|
below 10k | Copy |
36 | Jannik
below 10k
|
below 10k | Copy |
37 | Gilles
below 10k
|
below 10k | Copy |
38 | Conte
14.9k
|
14.9k | Copy |
39 | Anguissa
below 10k
|
below 10k | Copy |
40 | Villa Borghese
below 10k
|
below 10k | Copy |
41 | Alba Rohrwacher
below 10k
|
below 10k | Copy |
42 | Mark Darcy
below 10k
|
below 10k | Copy |
43 | Salvatore Luongo
below 10k
|
below 10k | Copy |
44 | Rutte
18.1k
|
18.1k | Copy |
45 | Olivera
below 10k
|
below 10k | Copy |
46 | Andrea Preti
below 10k
|
below 10k | Copy |
47 | Marco Rubio
346.1k
|
346.1k | Copy |
48 | Colombia
168.1k
|
168.1k | Copy |
49 | Empoli
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 Palermo 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 Palermo .
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.