TY - JOUR
T1 - Bots and gender profiling on twitter using sociolinguistic features notebook for PAN at CLEF 2019
AU - Puertas, Edwin
AU - Moreno-Sandoval, Luis Gabriel
AU - Plaza-Del-Arco, Flor Miriam
AU - Alvarado-Valencia, Jorge Andres
AU - Pomares-Quimbaya, Alexandra
AU - Alfonso Ureña-López, L.
N1 - Publisher Copyright:
© 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
PY - 2019
Y1 - 2019
N2 - Unfortunately, in social networks, software bots or just bots are becoming more and more common because malicious people have seen their usefulness to spread false messages, spread rumors and even manipulate public opinion. Even though the text generated by users in social networks is a rich source of information that can be used to identify different aspects of its authors, not being able to recognize which users are truly humans and which are not, is a big drawback. In this work, we describe the properties of our multilingual classification model submitted for PAN2019 that is able to recognize bots from humans, and females from males. This solution extracted 18 features from the user's posts and applying a machine learning algorithm obtained good performance results.
AB - Unfortunately, in social networks, software bots or just bots are becoming more and more common because malicious people have seen their usefulness to spread false messages, spread rumors and even manipulate public opinion. Even though the text generated by users in social networks is a rich source of information that can be used to identify different aspects of its authors, not being able to recognize which users are truly humans and which are not, is a big drawback. In this work, we describe the properties of our multilingual classification model submitted for PAN2019 that is able to recognize bots from humans, and females from males. This solution extracted 18 features from the user's posts and applying a machine learning algorithm obtained good performance results.
KW - Author profiling
KW - Bots profiling
KW - Computational linguistic
KW - Gender profiling
KW - Sociolinguistic
KW - User profiling
UR - http://www.scopus.com/inward/record.url?scp=85070510020&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85070510020
SN - 1613-0073
VL - 2380
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 20th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF 2019
Y2 - 9 September 2019 through 12 September 2019
ER -