Online social media influence the flow of news and other information, potentially altering collective social action while generating a large volume of data useful to researchers. Mapping these networks may make it possible to predict the course of social and political movements, technology adoption, and economic behavior. Here we map the network formed by Twitter users sharing British Broadcast...

We construct a new index of media slant that measures whether a news outlet’s language is more similar to a congressional Republican or Democrat. We apply the measure to study the market forces that determine political content in the news. We estimate a model of newspaper demand that incorporates slant explicitly, estimate the slant that would be chosen if newspapers independently maximized the...

• Political media bias is an important concern. Measuring difficult. We present a novel measure based on the selective sharing of news items by politicians. new for political position outlets politicians’ items. Politicians predominantly share that are in line with their position, hence, one can infer from revealed preferences over apply our to twelve major German analyzing tweets Members Parli...

The present study investigates the implantation of political science terminology approved by the Academy of Persian Language and Literature (APLL) in the Hamshahri corpus made up of news text from Hamshahri newspaper and their acceptability among MA students of English translation studies (ETS), English literature (EL), and Political science (PS). To conduct this research the frequencies of the...

Much research in the communication and political science fields—political communication research being no exception—seeks to establish the extent to which certain communication-related variables (e.g., exposure to political debates, the tone of news coverage about politicians, or the diversity in opinions of those with whom one talks about politics) have effects on various political outcomes (e...

An overwhelming number of news articles are available every day via the internet. Unfortunately, it is impossible for us to peruse more than a handful; furthermore it is difficult to ascertain an article’s social context, i.e., is it popular, what sorts of people are reading it, etc. In this paper, we develop a system to address this problem in the restricted domain of political news by harness...

This study examines the news selection practices followed by news organizations through investigating the news posted on social networking sites and, in particular, the Facebook pages of four foreign Arabic language TV stations: The Iranian Al-Alam TV, Russia Today, Deutsche Welle, and BBC. A total of 15,589 news stories are analyzed in order to examine the prominence of references to countries...

In the context of politics, emotions and facts work together to shape opinions about political candidates. While there is considerable research on motivated reasoning about political issues, there is less attention to how affect and rationality combine in the hybrid world of new media. This study examined the interaction of social media comments about politicians with more traditional informati...

This paper investigates whether external political pressure for faster renminbi (RMB) appreciation affect both the daily returns and the conditional volatility of the RMB central parity rate. We construct several political pressure indicators pertaining to the RMB exchange rate, with a special emphasis on the US pressure, to test the hypothesis. After controlling for Chinese macroeconomic surpr...

Political discourse in the United States is getting increasingly polarized. This polarization frequently causes different communities to react very differently to the same news events. Political blogs as a form of social media provide an unique insight into this phenomenon. We present a multi-target, semisupervised latent variable model, MCR-LDA to model this process by analyzing political blog...