Assembly of polarity, emotion and user statistics for detection of fake profiles Notebook for PAN at CLEF 2020

The explosive growth of fake news on social networks has aroused great interest from researchers in different disciplines. To achieve efficient and effective detection of fake news requires scientific contributions from various disciplines, such as computational linguistics, artificial intelligence,...

Full description

Autores:

Moreno-Sandoval, Luis Gabriel
Puertas, Edwin
Pomares-Quimbaya, Alexandra
Alvarado-Valencia, Jorge Andres

Tipo de recurso:

Fecha de publicación:

2020

Institución:

Universidad Tecnológica de Bolívar

Repositorio:

Repositorio Institucional UTB

Idioma:

eng

OAI Identifier:

oai:repositorio.utb.edu.co:20.500.12585/12286

Acceso en línea:

https://scopus.utb.elogim.com/record/display.uri?eid=2-s2.0-85121794424&origin=resultslist&sort=plf-f&src=s&sid=5b5924365d87681725a9d6c17daad1d5&sot=b&sdt=b&s=TITLE-ABS-KEY%28Assembly+of+polarity%2C+emotion+and+user+statistics+for+detection+of+fake+profiles+Notebook+for+PAN+at+CLEF+2020%29&sl=125&sessionSearchId=5b5924365d87681725a9d6c17daad1d5
https://hdl.handle.net/20.500.12585/12286

Palabra clave:

Rumor;
Social Media;
Disinformation
LEMB

Rights

openAccess

License

http://creativecommons.org/licenses/by-nc-nd/4.0/