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4 results for “Media Representation”
Representation of crowd accidents in popular media
<p>This repository contains results related to the analysis of a corpus of news reports covering the topic of crowd accidents. To facilitate online visualization and offline analysis, the files are organized by assigning a number to each. The number system and the details of each set of files are described as follows:</p> <ul> <li><strong>Class 0</strong> – This contains the same files provided in this repository, but they are organized into folders to make analysis easier. If you intend to analyze the data from our lexical analysis, we suggest using this file since it is better organized and can be directly downloaded.</li> <li><strong>Class 1</strong> – This contains the sources and relevant information for people who are interested in replicating our dataset or accessing the news reports used in our analysis. Please note that due to copyright regulations, the texts cannot be shared. However, you can refer to the links provided in these files to access the news articles and Wikipedia pages. Some links have stopped working during the time we were working on this study, and others may be unreachable in the future.</li> <li><strong>Class 2</strong> – This contains the results from a lexical analysis of the corpus. The HTML page allows you to visualize each result interactively through the online VOSviewer app (you need to download the file and open it using a browser since Zenodo does not recognize this as a link). It is possible that this service (VOSviewer app) may be discontinued at some point in the future. PNG images of lexical maps are, therefore, available for download through the ZIP archive, although they do not allow interactive access. If you plan to read our results using the offline VOSviewer software or perform a more systematic analysis, JSON files are available for each category (time period, geographical area of the reporting institution, and purpose of gathering). The same files can be also find in the ZIP archive in class 0.</li> <li><strong>Class 3</strong> – These are the results of the sentiment analysis. For each report, a single result is generated for the title. However, for the body, the text is divided into parts, which are analyzed independently.</li> <li><strong>Class 4</strong> – These two files contains the corpus of Wikipedia relative to 68 crowd accidents which occurred between 1990 and 2019. The text for all accidents were scraped on October 15th, 2022 (<em>before</em> the tragedy in Itaewon) and on May 25th, 2023 (<em>after</em> the tragedy). Sources relative to the content in Wikipedia are listed in the file contained in Class 1 ("1_list_wiki_report.csv"). More generally, accidents listed on dedicated Wikipedia pages on <a href="https://en.wikipedia.org/wiki/List_of_fatal_crowd_crushes" target="_blank" rel="noopener">https://en.wikipedia.org/wiki/List_of_fatal_crowd_crushes</a> are reported in the corpus provided here (the period 1900-2019 is considered here).</li> </ul> <p>The format of CSV and JSON files should be self-explanatory after reading our publication. For specific questions or queries, please contact one of the authors, and we will try to assist you.</p>
DATASET. LIST OF JOURNAL ARTICLES AND BOOK CHAPTERS THAT DEALT WITH MEDIA REPRESENTATIONS OF FEMICIDE.
<p><span>The dataset contains the list of 213 </span><span>journal articles and book chapters that deal with media empirical evidence on femicide, available in <span>Scopus, Web of Science (WoS), and EBSCOhost.</span> The dataset includes three sheets in one file, the first contains a list of the 213 documents available in the three databases including their bibliographic information, general description, and keywords describing the main results. The second sheet contains the codes for variables, and the third sheet contains the list of a subgroup of articles available in <span>Scopus and Web of Science (WoS)</span>. </span></p>
CATCH-EyoU: Representation of the EU and Youth Active EU Citizenship in the Media Environment: Collected Media: UK
<p>The dataset consists of 348 online news stories from two UK online newspapers (Daily Mail and Evening Standard) during four specific periods of time<strong> </strong>[Period 1: May 7th – May 21th 2014 / Period 2: September 16th – September 30th 2014 / Period 3: May 7th – May 21th 2015 / Period 4: September 16th – September 30th 2015].</p> <p> </p> <p>The aim of the generated dataset is to identify within the UK media products selected the presence or absence of EU values and identities, for example regarding euro-skeptical and/or pro EU arguments, and their relation to young people.</p> <p> </p> <p>The dataset builds on existing media discourse analyses of European issues and young people in the UK media by highlighting contemporary media-based conceptualizations of Europe and young people from both a news and cultural perspective, in the context of a political and social climate where European identity is deeply contested, and where the global migration effects of regional conflicts have also challenged understandings of and claims to European citizenship. </p>
Data from: Exploring media representation of the exotic pet trade, with a focus on welfare: Taxonomic, framing, and language biases in peer-reviewed publications and newspaper articles
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International Brain Laboratory public data
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OpenNeuro
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