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A critical role of online platforms like Facebook, Wikipedia, YouTube, Amazon, Doordash, and Tinder is to moderate content. Interventions like banning users or deleting comments are carried out thousands of times daily and can potentially improve our onlin ...
Classification methods from machine learning are receiving a lot of attention in the transportation modelling community. This is motivated by the access to large databases, and to various success stories reported in this research community. Discrete choice ...
Recent policies such as “made in China 2025” or “mass makerspaces” implemented by the Chinese government aim to transform China’s image from “the world’s factory to a creative powerhouse” to be recognized as an “innovation-oriented nation” (Wang 2016). Thi ...
In this paper we create a model of human behavior in online communities, based on the network topology and on the communication content. The model contains eleven distinct hypotheses, which validate three intuitions. The rst intuition is that the network t ...
Social network has extended its popularity from the Internet to mobile domain. Personal mobile devices can be self-organized and communicate with each other for instant social activities at any time and in any places to achieve pervasive social networking ...
A Mobile Ad Hoc Network (MANET) is becoming a practical platform for pervasive social networking. For example, people chat with each other via MANET for instant social activities. How to help mobile users build up trust in pervasive social chatting is beco ...
In this paper we investigate the impact of antagonism in online discussions. We define antagonism as a new class of textual opinions - direct sentiment towards the authors of previous comments. We detect the negative sentiment using aspect-based opinion mi ...
We consider a general information-sharing game over adaptive networks with selfish agents, in which a diffusion strategy is employed to estimate a common target parameter. The benefit and cost of sharing information are embedded into the individual utility ...
In conventional wisdom on crowdsourcing, the number of people define the crowd and maximizing this number is often assumed to be the goal of any crowdsourcing exercise. However, we propose that there are structural characteristics of the crowd that might b ...
According to conventional wisdom on crowdsourcing, the number of people defines the crowd and maximization of this number is often assumed to be the goal of any crowdsourcing exercise. However, some structural characteristics of the crowd might be more imp ...
