Advanced NLP & Big Data analysis of Bluesky posts.
rubencejas.netlify.app
The Police. 15-11-2025 / 15-12-2025.
rubencejas.netlify.app/police-categor…

Results obtained after analyzing 113351 posts in English with the word:
rubencejas.netlify.app/war-categorias

The fact that WOMAN and MAN are highly frequent words in Big Data indicates that gender conflict is one of the axes of social fracture.

Que WOMAN y MAN sean palabras altamente frecuentes en la Big Data indica que el conflicto de género es uno de los ejes de la fractura social.

Results obtained after analyzing 150181 posts in English with the word:

PEOPLE is the most frequent word in the Big Data of this research. This is no coincidence: the entire conflict in the U.S. revolves around who "the people" are, who is excluded from that definition, and who has the right to decide for others. It is a struggle over collective identity.

PEOPLE es la palabra más frecuente en la Big Data de esta investigación. No es casual: todo el conflicto en EE.UU. se articula alrededor de quiénes son "el Pueblo", quiénes quedan fuera de esa definición y quién tiene derecho a decidir por los demás. Es una lucha por la identidad colectiva.

Results obtained after analyzing 151147 posts in English with the word:
rubencejas.netlify.app/racism-categ...

Results obtained after analyzing 74707 posts in English with the word:
rubencejas.netlify.app/raids-catego...

Results obtained after analyzing 83751 posts in English with the word:
rubencejas.netlify.app/patriarchy-c...

Results obtained after analyzing 165897 posts in English with the word:
rubencejas.netlify.app/money-catego...

Results obtained after analyzing 89875 posts in English with the word:
rubencejas.netlify.app/fentanyl-cat...

Results obtained after analyzing 46169 posts in English with the word:
rubencejas.netlify.app/palantir-cat...