This study has focused on the effective media, organizations, celebrities, politicians, and
ordinary people that are interested in climate change across Twitter. A quantitative content …

The analysis of interactions between social media and traditional news streams is becoming
increasingly relevant for a variety of applications, including: understanding the underlying …

If speakers use language rationally, they should structure their messages to achieve
approximately uniform information density (UID), in order to optimize transmission via a …

The use of socio-technical data to predict elections is a growing research area. We argue
that election prediction research suffers from under-specified theoretical models that do not …

Data from Twitter have been employed in prior research to study the impacts of events.
Conventionally, researchers use keyword-based samples of tweets to create a panel of …

Temporal online content becomes the zeitgeist to reflect our interests and changes. Active
users are essential participants and promoters behind it. Temporal dynamics becomes a …

Terrorism aims to cause the psychological instability in the targeted population. Social
psychological research through traditional methods, like surveys or interviews, have …

Social media has become a popular platform for people to share opinions. Among the social
media mining research projects that study user opinions and issues, most focus on …

This paper examines how the public perceived immigrant groups as potential risk, and how
such risk perception changed after the attacks that took place in Paris on November 13 …

Imminent massive-scale IoT deployments require a Cloud-Sensor architecture to facilitate an
ecosystem of friction-free integration and programmability. In addition to these two functional …