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 Naples, as of 56 minutes ago.
| Rank | Trending Topic / Hashtag | Tweet Volume | Copy |
|---|---|---|---|
| 1 | #Trump
442.5k
|
442.5k | Copy |
| 2 | #Trump
443.3k
|
443.3k | Copy |
| 3 | #IlConteDiMontecristo
16.8k
|
16.8k | Copy |
| 4 | #GrandeFratello
159k
|
159k | Copy |
| 5 | Iago
25.8k
|
25.8k | Copy |
| 6 | #21gennaio
below 10k
|
below 10k | Copy |
| 7 | Enzo Paolo
below 10k
|
below 10k | Copy |
| 8 | Federica
below 10k
|
below 10k | Copy |
| 9 | Fazio
below 10k
|
below 10k | Copy |
| 10 | Fauci
1.5k
|
1.5k | Copy |
| 11 | Marte
26.7k
|
26.7k | Copy |
| 12 | Michael
224.9k
|
224.9k | Copy |
| 13 | Vespa
below 10k
|
below 10k | Copy |
| 14 | monsè
below 10k
|
below 10k | Copy |
| 15 | Biden
3.5k
|
3.5k | Copy |
| 16 | Vaticano
14.8k
|
14.8k | Copy |
| 17 | Giotto
below 10k
|
below 10k | Copy |
| 18 | votate si
below 10k
|
below 10k | Copy |
| 19 | Micheal
below 10k
|
below 10k | Copy |
| 20 | maria vittoria
below 10k
|
below 10k | Copy |
| 21 | Capitol Hill
17k
|
17k | Copy |
| 22 | Edmond
below 10k
|
below 10k | Copy |
| 23 | Clayton
below 10k
|
below 10k | Copy |
| 24 | Stati Uniti
22.8k
|
22.8k | Copy |
| 25 | Panama
149.7k
|
149.7k | Copy |
| 26 | Sam Claflin
below 10k
|
below 10k | Copy |
| 27 | Davos
146k
|
146k | Copy |
| 28 | Alfonso
28.1k
|
28.1k | Copy |
| 29 | Pizza
55.4k
|
55.4k | Copy |
| 30 | Zalewski
below 10k
|
below 10k | Copy |
| 31 | Zorro
below 10k
|
below 10k | Copy |
| 32 | lino guanciale
below 10k
|
below 10k | Copy |
| 33 | Pamela
19.6k
|
19.6k | Copy |
| 34 | America
3.2k
|
3.2k | Copy |
| 35 | morlacchi
below 10k
|
below 10k | Copy |
| 36 | Hamas
425.7k
|
425.7k | Copy |
| 37 | Keep Shining
17.4k
|
17.4k | Copy |
| 38 | Riondino
below 10k
|
below 10k | Copy |
| 39 | Marina La Rosa
below 10k
|
below 10k | Copy |
| 40 | Cesara
below 10k
|
below 10k | Copy |
| 41 | Corona
21.7k
|
21.7k | Copy |
| 42 | Washington
436.9k
|
436.9k | Copy |
| 43 | Maranello
24.4k
|
24.4k | Copy |
| 44 | Jacopo
below 10k
|
below 10k | Copy |
| 45 | Nicolas
92.6k
|
92.6k | Copy |
| 46 | Campidoglio
below 10k
|
below 10k | Copy |
| 47 | Casa Bianca
below 10k
|
below 10k | Copy |
| 48 | Albert
26.8k
|
26.8k | Copy |
| 49 | Village People
64.1k
|
64.1k | 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) Naples 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) Naples .
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.