Qualitative studies, such as sociological research, opinion analysis and media studies, can
benefit greatly from automated topic mining provided by topic models such as latent Dirichlet …

Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly
embraced by individuals, groups, and organizations as a valuable source of information …

Among internet and smart device applications, Twitter has become a leading social media
platform, disseminating online events occurring in the world on a real-time basis. Many …

The task of text classification is usually divided into two stages: text feature extraction and
classification. In this standard formalization, categories are merely represented as indexes in …

The perceptions of people toward neighborhoods reveal their satisfaction with their living
environments and their perceived quality of life. Recently, there is an emergence of Web …

The hypothesis of selective exposure assumes that people seek out information that
supports their views and eschew information that conflicts with their beliefs, and that has …

This paper presents state of the art methods for addressing three important challenges in
automated fake news detection: fake news detection, domain identification, and bot …

Purpose This paper aims to obtain the domain of the textual content generated by users of
online social network (OSN) platforms. Understanding a users' domain (s) of interest is a …

This paper investigates static job scheduling schemes that distribute workload in a network
of computers with different speeds. Static schemes involve very low overhead and …

One might think that, compared to traditional media, social media sites allow people to
choose more freely what to read and what to share, especially for politically oriented news …