Hate Speech in social media is a complex phenomenon, whose detection has recently
gained significant traction in the Natural Language Processing community, as attested by …

With the multiplication of social media platforms, which offer anonymity, easy access and
online community formation and online debate, the issue of hate speech detection and …

We present NusaCrowd, a collaborative initiative to collect and unify existing resources for
Indonesian languages, including opening access to previously non-public resources …

Media sosial menjadikan masyarakat mengalami pergeseran perilaku baik budaya, etika
dan norma yang ada, sehingga mereka dapat mengeluarkan opini-opini yang mereka miliki …

The Indonesian government has enforced the New Normal rule in maintaining economic
stabilization and also restraining the spread of the virus during the Covid 19 pandemic. This …

Data-driven and machine learning based approaches for detecting, categorising and
measuring abusive content such as hate speech and harassment have gained traction due …

Hate speech and abusive language spreading on social media need to be detected
automatically to avoid conflict between citizen. Moreover, hate speech has a target …

Social media is a more common and powerful platform for communication to share views
about any topic or article, which consequently leads to unstructured toxic, and hateful …

Social networking platforms gained widespread popularity and are used for various activities
like: promoting products, sharing news, achievements and many more. On the other hand, it …

Hate speech detection is a challenging problem with most of the datasets available in only
one language: English. In this paper, we conduct a large scale analysis of multilingual hate …