Evolution of topics and hate speech in retweet network communities

Autor: Bojan Evkoski, Nikola Ljubešić, Andraž Pelicon, Igor Mozetič, Petra Kralj Novak

Publikováno v: Applied Network Science, Vol 6, Iss 1, Pp 1-20 (2021)

Abstract Twitter data exhibits several dimensions worth exploring: a network dimension in the form of links between the users, textual content of the tweets posted, and a temporal dimension as the time-stamped sequence of tweets and their retweets. I

Externí odkaz: https://doaj.org/article/681643cab21f4bce821abdae23b5fac7

Un-Compromised Credibility: Social Media Based Multi-Class Hate Speech Classification for Text

Autor: Khubaib Ahmed Qureshi, Muhammad Sabih

Publikováno v: IEEE Access, Vol 9, Pp 109465-109477 (2021)

There is an enormous growth of social media which fully promotes freedom of expression through its anonymity feature. Freedom of expression is a human right but hate speech towards a person or group based on race, caste, religion, ethnic or national

Externí odkaz: https://doaj.org/article/f782a72be9b54cdf911b5817aaeb2857

SAQL: query language for corpora with morpho-syntactic annotation

Autor: Pereira, Ana Filipa Vilela

Mestrado integrado em Engenharia Informática
Computer Mediated Communication becomes more prevalent with each passing day, be it in social media, blogs or forums. These mediums gather large amounts of people from different backgrounds and provi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______307::7d12e380e9ee62ed7ec86bd0006cede0
https://hdl.handle.net/1822/78258

Exploring Conditional Language Model Based Data Augmentation Approaches For Hate Speech Classification

Autor: Geet d'Sa, Ashwin, Illina, Irina, Fohr, Dominique, Klakow, Dietrich, Ruiter, Dana

Publikováno v: TSD 2021-24th International Conference on Text, Speech and Dialogue
TSD 2021-24th International Conference on Text, Speech and Dialogue, Sep 2021, Olomouc, Czech Republic
The 24th International Conference of Text, Speech and Dialogue (TSD2021)
The 24th International Conference of Text, Speech and Dialogue (TSD2021), Sep 2021, Olomouc, Czech Republic

International audience; Deep Neural Network (DNN) based classifiers have gained increased attention in hate speech classification. However, the performance of DNN classifiers increases with quantity of available training data and in reality, hate spe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::781c61a29fb5277a4764bf73d4dc1350
https://inria.hal.science/hal-03244472/document

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.