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 …

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 …

An innovative and accessible guide to doing social research in the digital age. In just the
past several years, we have witnessed the birth and rapid spread of social media, mobile …

Religious hate speech in the Arabic Twittersphere is a notable problem that requires
develo** automated tools to detect messages that use inflammatory sectarian language to …

With the rise of hate speech phenomena in the Twittersphere, significant research efforts
have been undertaken in order to provide automatic solutions for detecting hate speech …

We present a highly effective unsupervised framework for detecting the stance of prolific
Twitter users with respect to controversial topics. In particular, we use dimensionality …

In social media platforms, hate speech can be a reason of “cyber conflict” which can affect
social life in both of individual-level and country-level. Hateful and antagonistic content …

The use of offensive language in user-generated content is a serious problem that needs to
be addressed with the latest technology. The field of Natural Language Processing (NLP) …

Discovering the stances of media outlets and influential people on current, debatable topics
is important for social statisticians and policy makers. Many supervised solutions exist for …

Hate speech towards a group or an individual based on their perceived identity, such as
ethnicity, religion, or nationality, is widely and rapidly spreading on social media platforms …