The topic of terrorism on Yahoo! Answers: questions, answers and usersxe2x80x99 anonymity The purpose of this paper is to explore the use of community question answering sites (CQAs) on the topic of terrorism. Three research questions are investigated: what are the dominant themes reflected in terrorismrelated questions? How do answer characteristics vary with question themes? How does usersxe2x80x99 anonymity relate to question themes and answer characteristics?,Data include 300 questions that attracted 2,194 answers on the community question answering Yahoo! Answers. Content analysis was employed.,The questions reflected the communityxe2x80x99s information needs ranging from the life of extremists to counterterrorism policies. Answers were laden with negative emotions reflecting hate speech and Islamophobia, making claims that were rarely verifiable. Users who posted sensitive content generally remained anonymous.,This paper raises awareness of how CQAs are used to exchange information about sensitive topics such as terrorism. It calls for governments and law enforcement agencies to collaborate with major social media companies to develop a process for crossplatform blacklisting of users and content, as well as identifying those who are vulnerable.,Theoretically, it contributes to the academic discourse on terrorism in CQAs by exploring the type of questions asked, and the sort of answers they attract. Methodologically, the paper serves to enrich the literature around terrorism and social media that has hitherto mostly drawn data from Facebook and Twitter.

CIQFIRE: Overview of the Shared Task on FineGrained Classification of Insincere Questions Given the scale of CQA forums on the web, manual identification of Insincere Questions becomes challenging and costly. Hence automated approaches are needed, in addition to manual moderation to filter insincere questions in CQA sites. While this can be simplistically formulated as a binary classification task, insincere questions exhibit diverse characteristics such as Rhetorical, or DisparagingInflammatory, Hypothetical, or Objectionable. The proposed CIQ track aims to find a suitable model for Categorisation of Insincere Questions(CIQ) on CQA forums. We propose that segmenting insincerenoninformation seeking questions will not only provide better identification, but also help to enable effective countermeasures based on the fine grained category it belongs to.