This workshop was dedicated to discussing the latest development in detecting a broad range of social issues in online content, from inequalities expressed in texts (hate speech, prejudice, divisive/uncivil messages, political bias and racism etc.), to social polarization based on user views and sentiment. With proliferation of social media, such content is increasingly
impactful, while its detection at scale presents a huge methodological challenge. The workshop participants shared their research experience by reflecting both on advantages and limitations of new automated and mixed research methods of text analysis they had used for processing and analysing such content. The workshop was held for the first time at INSCI’2018.