> For the complete documentation index, see [llms.txt](https://blog.s1rn3tz.ovh/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://blog.s1rn3tz.ovh/osint-recon/manuel-dorks/twitter-dorks.md).

# Twitter Dorks

```bash
#Tweets contenant le mot1 ET le mot2
<mot1> <mot2>

# Contenant exactement le mot1
"mot1"

#Tweets containing le mot1 OU le mot2
<mot1> OR <mot2>

#Contenant "cyber" mais SANS "security"
cyber -security

#Tous les tweets venant d'un compte / répondant à un autre
from:<account>
to:<account>

#Filtrer les résultats (ici par compte suivi en excluant les médias)
filter:follows
exclude:medias

#Tweets par dates
<mot> since:2015-02-20
<mot> until:2015-02-20

#Retweet minimums / likes minimum / reponses minimum
min_retweets:x
min_faves:x
min_replies:x

#Language
lang:fr

# Tweets positif  and negatifs
<mot> :)
<mot> :(

# Tweets posant une question
<mot> ?

#Localisation avec un périmètre précis
near:Paris within:25km

#Filtres
# - safe : potentiellement hard ou supprimé
# - media : photos ou vidéos
# - retweets : seulement les retweets
# - native_video : vidéo téléchargé (Amplify, Periscope, Vine)
# - periscope 
# - vine
# - images : identifié comme une photo (aussi venant de Instagram)
# - twimg : liens pic.twitter.com 
# - links : liens vers une url
filter:<filtre>

```


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://blog.s1rn3tz.ovh/osint-recon/manuel-dorks/twitter-dorks.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.