scholarly journals Information content analysis for a novel TES-based hyperspectral microwave atmospheric sounding instrument

Author(s):  
Prateek Kumar-Dongre ◽  
Stephan Havemann ◽  
Peter Hargrave ◽  
Angiola Orlando ◽  
Rashmikant Sudiwala ◽  
...  
2014 ◽  
Vol 35 ◽  
pp. 183-191 ◽  
Author(s):  
Haibo Zhao ◽  
Cheng Zheng ◽  
Yongfang Zhang ◽  
Bin Liang ◽  
Naiming Ou ◽  
...  

2020 ◽  
Vol 10 (4) ◽  
pp. 44-52
Author(s):  
LARISA ZAITSEVA ◽  

The territorial image is formed both purposefully by the subjects of image-making, and spontaneously-based on the influence of information content published in various media. The purpose of the research is to analyze the image of the Republic of Mordovia in the information space of the Volga Federal district. The image of the territory formed by external target audiences by means of news materials is studied using the method of case study and content analysis of publications: “Volga news”, “Federal Press” news of the PFD, “Pravda PFD”. The authors conclude that modern reality is perceived through the prism of the information field created by mass media. The media creates images filled with certain data, facts, colored by emotions, on the basis of which representations, opinions, judgments, and assessments are subsequently formed. The media play a significant role in shaping the territorial image, especially for external target audiences who are not familiar with the region and do not have their own assessment knowledge and experience. Most of the information content about the Republic in the studied media is related to the main thematic blocks: politics, economy, social sphere, culture (art, sports). Moreover, if in the publications “Volga news” and “Pravda PFD” mention of the region prevails in the economic block, then in the publications “Federal Press” and “Nezavisimaya Gazeta” - in the political one. The Volga news publication significantly dominates the rest in terms of the number of publications about Mordovia. The content of publications is mostly positive and neutral related to the issues of economic development of the territory and the preparation and holding of the world football championship. Pravda PFD mentions the Republic in the context of news from neighboring territories, most of the publications date back to 2018, but here the context is related to the Republic's positions among the regions of the PFD in various ratings. The publication “Federal-Press” forms a generally reflective image of the territory, focusing on the negative aspects of regional life. “Nezavisimaya Gazeta”, giving priority to political news, maintains a neutral and reflective context of publications, paying attention to the key problems of the territory. Thus, the desired image of the region is counter-dictated to the image broadcast by the media through various information channels, so it is necessary to constantly monitor the information space and timely correction of the broadcast materials.


2021 ◽  
pp. 016555152110406
Author(s):  
Reijo Savolainen

This study examines how the credibility of the content of mis- or disinformation, as well as the believability of authors creating such information is assessed in online discussion. More specifically, the investigation was focused on the credibility of mis- or disinformation about COVID-19 vaccines. To this end, a sample of 1887 messages posted to a Reddit discussion group was scrutinised by means of qualitative content analysis. The findings indicate that in the assessment of the author’s credibility, the most important criteria are his or her reputation, expertise and honesty in argumentation. In the judgement of the credibility of the content of mis/disinformation, objectivity of information and plausibility of arguments are highly important. The findings highlight that in the assessment of the credibility of mis/disinformation, the author’s qualities such as poor reputation, incompetency and dishonesty are particularly significant because they trigger expectancies about how the information content created by the author is judged.


2013 ◽  
Vol 118 (10) ◽  
pp. 4847-4859 ◽  
Author(s):  
J. Kolassa ◽  
F. Aires ◽  
J. Polcher ◽  
C. Prigent ◽  
C. Jimenez ◽  
...  

2010 ◽  
Vol 3 (6) ◽  
pp. 1589-1598 ◽  
Author(s):  
D. Martynenko ◽  
T. Holzer-Popp ◽  
H. Elbern ◽  
M. Schroedter-Homscheidt

Abstract. An information content analysis for multi-wavelength SYNergetic AErosol Retrieval algorithm SYNAER was performed to quantify the number of independent pieces of information that can be retrieved. In particular, the capability of SYNAER to discern various aerosol types is assessed. This information content depends on the aerosol optical depth, the surface albedo spectrum and the observation geometry. The theoretical analysis is performed for a large number of scenarios with various geometries and surface albedo spectra for ocean, soil and vegetation. When the surface albedo spectrum and its accuracy is known under cloud-free conditions, reflectance measurements used in SYNAER is able to provide for 2–4° of freedom that can be attributed to retrieval parameters: aerosol optical depth, aerosol type and surface albedo. The focus of this work is placed on an information content analysis with emphasis to the aerosol type classification. This analysis is applied to synthetic reflectance measurements for 40 predefined aerosol mixtures of different basic components, given by sea salt, mineral dust, biomass burning and diesel aerosols, water soluble and water insoluble aerosols. The range of aerosol parameters considered through the 40 mixtures covers the natural variability of tropospheric aerosols. After the information content analysis performed in Holzer-Popp et al. (2008) there was a necessity to compare derived degrees of freedom with retrieved aerosol optical depth for different aerosol types, which is the main focus of this paper. The principle component analysis was used to determine the correspondence between degrees of freedom for signal in the retrieval and derived aerosol types. The main results of the analysis indicate correspondence between the major groups of the aerosol types, which are: water soluble aerosol, soot, mineral dust and sea salt and degrees of freedom in the algorithm and show the ability of the SYNAER to discern between this aerosol types. The results of the work will be further used for the development of the promising methodology of the construction error covariance matrices in the assimilation system.


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