Populism and Contemporary Global Media: Populist Communication Logics and the Co-construction of Transnational Identities

The study of populism has often focused on specific leaders or movements within nation-states. Such accounts approach the media as a dissemination tool of these ‘populist actors’, rather than as a producer of populism in itself. However, the ongoing development of new media technologies makes such an approach untenable. With populism understood as a particular set of communication logics in which core appeals are articulated, the contemporary global media environment has fundamentally altered the processes by which such appeals evolve, including the range of voices that contribute to that evolution. Where empirically-observable populism was once predominantly a national phenomenon, this is decreasingly the case. On- and offline transnational collaboration is becoming increasingly common, together with the emergence of genuinely international movements. This chapter updates discussions of populism and the media, by offering an empirically-grounded discussion of how new media technologies facilitate transnational co-production and dissemination of populist appeals amongst both core and peripheral audiences. Our discussions of legacy media developments, online grassroots campaigning and state-funded international broadcasting show how media actors themselves (including particular platforms) contribute to the production of populist messages and identities, especially because new media logics closely correspond to the needs of populist communication

Stellar velocity dispersions and emission line properties of SDSS-III/BOSS galaxies

International audienceWe perform a spectroscopic analysis of 492 450 galaxy spectra from the first two years of observations of the Sloan Digital Sky Survey (SDSS) III/Baryonic Oscillation Spectroscopic Survey (BOSS) collaboration. This data set has been released in the ninth SDSS data release, the first public data release of BOSS spectra. We show that the typical signal-to-noise ratio of BOSS spectra, despite being low, is sufficient to measure stellar velocity dispersion and emission line fluxes for individual objects. We show that the typical velocity dispersion of a BOSS galaxy is similar to 240 km s(-1). The typical error in the velocity dispersion measurement is 14 per cent, and 93 per cent of BOSS galaxies have velocity dispersions with an accuracy of better than 30 per cent. The distribution in velocity dispersion is redshift independent between redshifts 0.15 and 0.7, which reflects the survey design targeting massive galaxies with an approximately uniform mass distribution in this redshift interval. We show that emission lines can be measured on BOSS spectra. However, the majority of BOSS galaxies lack detectable emission lines, as is to be expected because of the target selection design towards massive galaxies. We analyse the emission line properties and present diagnostic diagrams using the emission lines [O II], H beta, [OIII], H alpha and [N II] (detected in about 4 per cent of the galaxies) to separate star-forming objects and active galactic nuclei (AGN). We show that the emission line properties are strongly redshift dependent and that there is a clear correlation between observed frame colours and emission line properties. Within in the low-z sample (LOWZ) around 0.15 \textless z \textless 0.3, half of the emission line galaxies have low-ionization nuclear emission-line region (LINER)-like emission line ratios, followed by Seyfert-AGN-dominated spectra, and only a small fraction of a few per cent are purely star-forming galaxies. AGN and LINER-like objects, instead, are less prevalent in the high-z sample (CMASS) around 0.4 \textless z \textless 0.7, where more than half of the emission line objects are star forming. This is a pure selection effect caused by the non-detection of weak H beta emission lines in the BOSS spectra. Finally, we show that star-forming, AGN and emission line free galaxies are well separated in the g - r versus r - i target selection diagram