Facts, opinions, and media spectacle: Exploring representations of business news on the internet

In the 21st century, the field of business and finance has become a media spectacle. Not only have advances in technology changed the ways in which audiences engage with business information, the pervasiveness of internet and cable television networks has led to the emergence of new hybrid forms of business news discourse, blending verbiage, images, graphics, audio, and video clips. Combining discourse analysis, social semiotic theory, and other interdisciplinary approaches, this article explores the multiple ways in which business news are mediated on the internet by continuous 24-hour business news networks such as Bloomberg, CNBC, FOXBusiness, and Reuters. In particular, this article is concerned with how events are contextualized, that is, how identities and social relationships are constructed and represented within and across different modes, media, and networks. The analysis focuses on what is foregrounded or backgrounded, what is thematized or unthematized in each mode and medium, and what process types and categories are drawn upon to represent events, social actors, and social (inter)actions. In this context, special interest is being paid to the semiotic shifts or transformations (and ensuing re-contextualizations) that multimodal representations undergo across modes, media, and news networks

Precise radial velocities of giant stars VI. A possible 2:1 resonant planet pair around the K giant star η\eta Cet

We report the discovery of a new planetary system around the K giant $\eta$ Cet (HIP 5364, HD 6805) based on 118 high-precision optical radial velocities taken at Lick Observatory since July 2000. Since October 2011 an additional nine near-infrared Doppler measurements have been taken using the ESO CRIRES spectrograph (VLT, UT1). The visible data set shows two clear periodicities. Although we cannot completely rule out that the shorter period is due to rotational modulation of stellar features, the infrared data show the same variations as in the optical, which strongly supports that the variations are caused by two planets. Assuming the mass of $\eta$ Cet to be 1.7 $M_\odot$, the best edge-on coplanar dynamical fit to the data is consistent with two massive planets ($m_b\sin i$ = 2.6 $\pm$ 0.2 $M_{\mathrm{Jup}}$, $m_c\sin i$ = 3.3 $\pm$ 0.2 $M_{\mathrm{Jup}}$), with periods of $P_b$ = 407 $\pm$ 3 days and $P_c$ = 740 $\pm$ 5 days and eccentricities of $e_b$ = 0.12 $\pm$ 0.05 and $e_c$ = 0.08 $\pm$ 0.03. We tested a wide variety of edge-on coplanar and inclined planetary configurations for stability, which agree with the derived radial velocities. We find that in certain coplanar orbital configurations with moderate $e_b$ eccentricity, the planets can be effectively trapped in an anti-aligned 2:1 mean motion resonance. A much larger non-resonant stable region exists in low-eccentricity parameter space, although it appears to be much farther from the best fit than the 2:1 resonant region. In all other cases, the system is categorized as unstable or chaotic. Another conclusion from the coplanar inclined dynamical test is that the planets can be at most a factor of $\sim$ 1.4 more massive than their suggested minimum masses. This stability constraint on the inclination excludes the possibility of two brown dwarfs, and strongly favors a planetary system.Comment: 15 pages, 11 figures, accepted for publication in A&A on June 20, 201

Multimodal research: Addressing the complexity of multimodal environments and the challenges for CALL

Multimodality, the study of the interaction of language with other semiotic resources such as images and sound resources, has significant implications for computer assisted language learning (CALL) with regards to understanding the impact of digital environments on language teaching and learning. In this paper, we explore recent manifestations of CALL in 3-D virtual worlds, illustrated by the example of Second Life. The multimodal analyses of a conventional face-to-face lesson and three language learning activities in Second Life highlight some of the affordances and challenges presented by 3-D virtual environments. The results suggest that while multimodal resources integrate naturally to facilitate language teaching and learning in an orderly, structured and goal-orientated manner in classroom lessons, the often uncoordinated use (or absence) of avatars' gaze, facial expression, body posture, gesture, as well as the unclear proxemics and use of space pose problems for effective communication in a 3-D virtual world. In addition, a technology-oriented register, alongside traditional instructional and regulative genres and registers, is introduced to help students cope with the demands of learning a language in a 3-D virtual environment. The study raises the issue of the relative effectiveness of 3-D virtual worlds for language teaching and learning. In doing so, a digital approach to multimodal research is proposed in order to address the complexity of multimodal learning environments and the various challenges for CALL

From book to stage to screen: semiotic transformations of Gothic horror genre conventions

This paper adopts a multimodal social semiotic approach for exploring the semiotic changes involved in the transformation of a novel into stage and screen productions. It examines how semiotic resources are deployed in each medium through elements of mise-en-scène, such as speech, music, sound, lighting, props, staging, and cinematographic techniques, and the viewing perspectives that are thus established for audiences. The genre of Gothic horror is selected for this purpose, given how this form of performance has transfixed audiences for centuries and has been adapted for both the stage and the screen. In order to demonstrate how each performance medium has produced its own unique set of foregrounding devices to enthral and captivate audiences, a comparative analysis of excerpts from the novel The Woman in Black by Susan Hill, a videotaped theatrical performance, and the 1989 British television film of the same name is undertaken. The paper discusses the implications of the multimodal semiotic approach for developing a better understanding of the semiotic transformations that horror genre conventions undergo in different media and the viewership positions that are thus re-drawn for audiences. The paper concludes with a view of multimodal recontextualisation processes which form the underlying basis of human sociocultural life

A Mixed Methods Empirical Examination of Changes in Emphasis and Style in the Extremist Magazines Dabiq and Rumiyah

The change in name of ISIS’s flagship English language magazine from Dabiq to Rumiyah prompted media speculation about its significance. This article uses a mixed methods approach that integrates a qualitative social semiotic discourse analysis approach with quantitative methods of information visualisation to examine empirically changes in emphasis and approach in both magazines over time to determine whether the changes are ones of style or substance. The paper argues that, while ISIS has changed its strategic focus over time in response to its changing fortunes, the organisation’s underlying world view, values and ultimate aims remain consistent and unchanged

Natural Language Understanding and Multimodal Discourse Analysis for Interpreting Extremist Communications and the Re-Use of These Materials Online

This paper reports on a study that is part of a project which aims to develop a multimodal analytical approach for big data analytics, initially in the context of violent extremism. The findings reported here tested the application of natural language processing models to the text of a sample of articles from the online magazines Dabiq and Rumiyah, produced by the Islamic extremist organisation ISIS. For comparison, text of articles found by reverse image search software which re-used the lead images from the original articles in text which either reported on or opposed extremist activities was also analysed. The aim was to explore what insights the natural language processing models could provide to distinguish between texts produced as propaganda to incite violent extremism and texts which either reported on or opposed violent extremism. The results showed that some valuable insights can be gained from such an approach and that these results could be improved through integrating automated analyses with a theoretical approach with analysed language and images in their immediate and social contexts. Such an approach will inform the interpretation of results and will be used in training software so that stronger results can be achieved in the future

Interpreting text and image relations in violent extremist discourse: A mixed methods approach for big data analytics

This article presents a mixed methods approach for analysing text and image relations in violent extremist discourse. The approach involves integrating multimodal discourse analysis with data mining and information visualisation, resulting in theoretically informed empirical techniques for automated analysis of text and image relations in large datasets. The approach is illustrated by a study which aims to analyse how violent extremist groups use language and images to legitimise their views, incite violence, and influence recruits in online propaganda materials, and how the images from these materials are re-used in different media platforms in ways that support and resist violent extremism. The approach developed in this article contributes to what promises to be one of the key areas of research in the coming decades: namely the interdisciplinary study of big (digital) datasets of human discourse, and the implications of this for terrorism analysis and research