The task of expert finding is to rank the experts in the search space given a field of expertise
as an input query. In this paper, we propose a topic modeling approach for this task. The …

Understanding people's expertise is not a trivial task since it is time-consuming when
manually executed. Automated approaches have become a topic of research in recent years …

Due to the distributed and decentralized nature of social media, respective content that
contains misinformation is usually propagated without any type of moderation, which may …

Information and communication technologies boost knowledge activities, both within and
across organizations, and in online communities. Determining how to effectively search for …

In contemporary knowledge-intensive spaces, workers often team with experts from different
disciplinary backgrounds and different geographic locations and, thus, they face the …

With increasing trend toward lifelong learning, online learning communities have become
important places for people to seek and share knowledge. Yet with the increasing number of …

Online social networks have become the major channel for people to maintain relationships,
collaborate, and contribute shared information. A social network group can be created as a …

Open knowledge communities (OKCs) are computer supported collaborative learning
environments that provide opportunities for social knowledge construction, collaboration …

Expert finding is a subject of research in information retrieval and, often, is taken to mean
expertise retrieval within a specific organization. The task involves finding an expert on a …

Several citizen science platforms aiming at monitoring biodiversity have emerged in the
recent years. These platforms collect biodiversity data from participants and allow them to …