Exploring snake occurrence records: Spatial biases and marginal gains from accessible social media

Exploring Lavender Tongue from Social Media Texts

Under the issue of gender and Natural Language Processing (NLP), most papers aim at gendernorm language that spoken by biologically males and females with opposite-sex desires. However, from the point of view of sexual orientation, this study presents the first work in the task of Chinese homosexual identification. Firstly, we collect homosexual texts from social media, and secondly examine lin...

More than just social. Hospital leaders discover the revenue cycle gains from social media.

Social Media and Social Mobility: Exploring the Role of Social Networks in the 2018 Boycott Campaign in Morocco

Social networks have been resorted to as effective platforms for social mobility in many parts of the world. This mobility occurs when social media users exploit their interpersonal relationships, especially their ‘weak ties’ (Granovetter, 1973). Social networks enable their users to be producers of information, rather than mere consumers, and to be socially and politically well-informed. They ...

Visualizing Communication on Social Media: Making Big Data Accessible

The broad adoption of the web as a communication medium has made it possible to study social behavior at a new scale. With social media networks such as Twitter, we can collect large data sets of online discourse. Social science researchers and journalists, however, may not have tools available to make sense of large amounts of data or of the structure of large social networks. In this paper, w...

Exploring Social Network Effects on Popularity Biases in Recommender Systems

Recommending items ranked by popularity has been found to be a fairly competitive approach in the top-N recommendation task. In this paper we explore whether popularity should always be expected to be an effective approach for recommendation, and what causes, factors and conditions determine and explain such effectiveness. We focus on two fundamental potential sources of biases in rating data w...