Why National Media Systems Matter: A Longitudinal Analysis of How UK Left-Wing and Right-Wing Alternative Media Critique Mainstream Media (2015–2018)

Why Media Matter Media Effectiveness from a Performance Perspective

The subject of media influences on learning is revisited in this article. Whether instructional outcomes can be attributed to media, methods, or both has been debated since Clark (1983) asserted that there is no evidence supporting learning benefits from the use of any specific medium. Kozma (1991, 1994a, 1994b) challenged Clark’s claim that only methods affect learning and others took up the d...

the differential effects of debate and media analysis as relate to enhancing efl learners critical thinking ability and writing performances

critical thinking ability has an important role in education. accordingly, scholars around the world are searching for new ways for teaching and improving students critical thinking ability. in line with the studies in efl contexts supporting the positive relationship between critical thinking and writing performances, this study investigated the differential effects of halverson’s critical thi...

Alternative Media as Critical Media

This article deals with the category of alternative media from a theoretical perspective. It aims to develop a definition and to distinguish different dimensions of alternative media. The article is a contribution to theoretical foundations of alternative media studies. The notion of alternative media as critical media is introduced. Critical media product content shows the suppressed possibili...

Analysis of Streaming Media Systems Analysis of Streaming Media Systems

Ranking Right-Wing Extremist Social Media Profiles by Similarity to Democratic and Extremist Groups

Social media are used by an increasing number of political actors. A small subset of these is interested in pursuing extremist motives such as mobilization, recruiting or radicalization activities. In order to counteract these trends, online providers and state institutions reinforce their monitoring efforts, mostly relying on manual workflows. We propose a machine learning approach to support ...