1,721,052 research outputs found
Keywords voted on by expert panel
No full textTo identify suitable keywords relating to the interpretative frame of the 'emergency imaginary', the lead author conducted a content analysis of Craig Calhoun's work on the subject. She drew up a list of most frequently mentioned words relating to three key aspects of this interpretative frame: the definition of problem (listed in Table 1), the imperative to act swiftly (listed in Table 2) and the recommended treatment to address the problem (listed in Table 3). Next, we approached five experts, who have published extensively on humanitarian communication (Lilie Chouliaraki, Glenda Cooper, Simon Cottle, Jonathan Corpus Ong, and Matthew Powers). We asked these scholars to select and rank the words from each list that they thought were most relevant for each dimension of the emergency imaginary .This took place in 2022.
The keywords chosen by the panel in relation to each dimension were:
? The problem: "crisis", "disaster"
? The imperative to act swiftly: "now", "sudden", "urgent".
? Recommended treatment: "help", "rescue", "save".
These keywords were then used to engage in a la carte (ALC) word embedding. Specifically, we generated country-level estimates of closeness between the word "humanitarian*" and the different dimensions of the emergency imaginary. For each dimension, we computed how "close" (measured in cosine similarity) the keywords were to the word "humanitarian*."Word documen
SUPERSEDED - Codebook used to categorise media shown in corpus metadata
No full text## This item has been replaced by the one which can be found at https://doi.org/10.7488/ds/7709 ## Codebook detailing how media items were coded in corpus metadata file. Details codes used for country, source, continent, medium, type of media, geographic market/reach, and ownership/funding model.This codebook describes the codes used in the corpus metadata file (FullCorpusMetadata.xlsx)
Summary of data retrieval process
No full textThis file contains a detailed discussion of how we went about corpus construction, with a particular focus on data retrieval. It discusses our use of Nexis and Factiva, Google and GDELT (via API), as well as the web scraping procedures used.This is a summary of the data retrieval process used in corpus construction, including the data included in our matrix, entitled 'Global English Language Corpus of Humanitarian News.
Supplementary material: Document similarity analysis
No full textThese files contain supplementary data generated in response to peer review. Peer reviewers requested that we compare online and other kinds of journalistic content, to see if there were any differences in the extent to which digital media related to the emergency imaginary. K-means clustering indicated that there seemed to be a closer relationship between digital media and the emergency imaginary, so we sought to explore why this might be.
One hypothesis, drawn from previous research, was that "emergency" reporting was informed by a group of major 'Western' wire agencies, known for their "on the spot" reporting - Agence France Presse, Associated Press, and Thomson Reuters. However, since that research was conducted, other non-Western agencies, such as Xinhua and Interfax, have grown considerably. So, we divided our original corpus of news texts into digital and non-digital content per country, and conducted document similarity tests between these corpora and the copy produced by a selection of wire agencies.
The file “similarity_analysis.xlsx” shows the results of that analysis. The variable “to.Vprop” is the measure of document similarity, as indicated by the RNewsflow package. It is the percentage of media items in our corpus from a given country/type of media that were very similar or identical to previously published copy from one of our selected wire agencies. In the written article, we mapped out which wire agencies were dominant in the media content disseminated by outlets in specific countries.
In file “all_similarities.xlsx” we present the results of the same analysis for all news sources in the sub-corpus. It includes 245 sources from 20 countries. For each news source, the variable “to.Vprop” measures the percentage of articles in the “from” column that are identical or highly similar to those in the column “to.”
Finally, the file “sources_corpus.xlsx” contains details of the sources we used for this analysis, which country they were from, how we classified them (digital/not digital) and how many media items were included in this analysis
Codebook used to categorise media items in corpus metadata file
No full textCodebook detailing how media items were coded in corpus metadata file. Details codes used for media source, country, continent, geographic market/reach, medium and type of media content.This is the codebook containing codes used in the 'Corpus Metadata' file
SUPERSEDED - Corpus metadata
No full text## This item has been replaced by the one which can be found at https://doi.org/10.7488/ds/7707 ## This spreadsheet contains details of every media outlet we included. It also includes where their content was sourced from; which country and continent they were based in; and their 'reach' (e.g. national or international). In addition, it includes the kind of media sampled (e.g. print, broadcast, online); the media type (e.g. newspaper, website); whether they were a broadcast organisation; and their mode of ownership/funding. These codes were checked by two coders on all occasions. Details of the codes used can be found in the file marked 'codebook'.This item should be cross-referenced to the codebook (codebook.docx), so that readers understand the codes used
Corpus metadata
No full textThis spreadsheet contains details of every media outlet we included. It also includes where their content was sourced from; which country and continent they were based in; and their 'reach' (e.g. national or international). In addition, it includes the kind of media sampled (e.g. print, broadcast, online); and the media type (e.g. newspaper, website). These codes were checked by two coders on all occasions. Details of the codes used can be found in the file marked 'codebook'.This item should be cross-referenced to the codebook (codebook.docx), so that readers understand the codes used
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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