Social media (SM) data provides a vast record of humanity's everyday thoughts, feelings,
and actions at a resolution previously unimaginable. Because user behavior on SM is a …

Every day millions of people use social media platforms by generating a very large amount
of opinion-rich data, which can be exploited to extract valuable information about human …

Computational Politics is the study of computational methods to analyze and moderate
users' behaviors related to political activities such as election campaign persuasion, political …

Social media platforms provide massive amounts of data that can be used to analyze social
issues and forecast events in the future. However, it is a challenging task due to the biased …

This work proposes a novel framework for the development of new products and services in
transportation through an open innovation approach based on automatic content analysis of …

In the last years researchers in the field of intelligent transportation systems have made
several efforts to extract valuable information from social media streams. However, collecting …

In recent years, several studies have explored the potential of social media data in
forecasting electoral outcomes and public opinion trends, with mixed results. This paper …

Unexpected events occur frequently, and network public opinion prediction is one of the
important research directions. Aiming at the problem that the current network public opinion …

With the rise of Social Media, people obtain and share information almost instantly on a
24/7basis. Many research areas have tried to gain valuable insights from these large …

In this paper we propose a novel method to forecast the result of elections using only official
results of previous ones. It is based on the voter model with stubborn nodes and uses …