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Showing 21 to 29 of 29 (0.06 seconds)Spelling suggestions: "subject:"news (articles)"" "subject:"jews (articles)""
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Vem ansvarar för klimatkrisen? En studie om hur svenska nyhetstidningar gestaltar olika aktörers ansvar för klimatkrisenMorner, Filippa January 2019 (has links)
Den här studien undersöker nyhetstidningarnas del i kontexten för hur ansvar för klimatkrisen formas i det svenska samhället. Detta görs genom att studera hur två av de största nyhetstidningarna i Sverige, Dagens Nyheter och Aftonbladet, framställer olika aktörers ansvar för klimatkrisen i sina nyhetsartiklar. Det är relevant att studera nyhetstidningarnas ansvarsbeläggning för klimatkrisen då tidigare forskning har visat att nyhetsmedier kan påverka både uppfattningen om ämnen i samhället samt attityder och beteenden i relation till de ämnena. Studiens avsikt är därför att bidra till förståelse för hur nyhetstidningarnas ansvarsbeläggning av klimatkrisen kan påverka uppfattningen om ansvar och således hanteringen av klimatkrisen i samhället. Materialet analyseras utifrån gestaltningsteorin och miljökommunikationsforskningens syn på miljökommunikation som formande av miljön. Resultatet visar på att artiklarna till störst del ansvarsbelägger politiska aktörer, att företags ansvar förskjuts till politiska aktörer eller fördelas mellan politiska aktörer där företagen då får minst ansvar, samt att individers ansvar knappt gestaltas. Slutsatsen är att nyhetstidningarna inte ansvarsbelägger väsentliga aktörer i klimatkrisen lika mycket, vilket kan ses som problematiskt då klimatforskning menar att alla aktörer i samhället måste agera. / This study examines the part that Swedish newspapers play in the context of constructing responsibility for the climate crisis in Swedish society. This is done by studying how two of the biggest newspapers in Sweden, Dagens Nyheter and Aftonbladet, portray different actors’ responsibilities in the climate crisis in their news articles. It is of high relevance to study newspapers’ distribution of responsibility since previous research has shown that news media can affect both the perception of events and topics in society, as well as attitudes and behaviours in regards to those events and topics. Therefore, this study aims to contribute to a better understanding of how the newspapers’ distribution of responsibility can affect the perception of responsibility as well as the management of the climate crisis in the Swedish society. The material is analyzed through the theory of framing and the environmental communication research’s view that communication about the environment shapes the perception and therefore the form of the environment. The result shows that news articles mainly give responsibility to political actors, that companies’ responsibility is pushed over to political actors or placed between both companies and political actors where companies get the lesser responsibility, and that individuals are given a minimal amount of responsibility. The main conclusion is that the newspapers do not distribute responsibility evenly among the essential actors, which can be seen as problematic since climate research mean that all actors in society must act to solve the climate crisis.
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Large-scale Exploratory Text VisualisationAxelsson, Wilma, Engström, Nellie January 2023 (has links)
The amount of available text data has increased rapidly in the latest years, making it difficult for an everyday user to find relevant information. To solve this, NLP and visualisation methods have been developed for extracting valuable information from text and presenting it to the user. The aim of this project is to implement a proof-of-concept visualisation prototype for exploring a large amount of Swedish news articles with related metadata and investigate the temporal and relational aspects of the data. The project was divided into three major parts. In the first part, sketches of the visualisation were designed and evaluated through user tests. The second part consisted of designing and implementing a NLP pipeline, using BERTopic, where both Dynamic Topic Modeling (DTM) and Hierarchical Topic Modeling (HTM) were used. Some parameters of the pipeline were evaluated using evaluation metrics and through visual inspection, for instance a Swedish sentence transformer. The final part consisted of implementing and evaluating the visualisation prototype. The project resulted in a web-based visualisation, presenting the NLP results, with two different views: a top 10 topics view and a hierarchical view containing all topics. The prototype has various features, e.g., clicking and hovering for details-on-demand and options for changing and altering the view. The prototype was then evaluated through an internal case study and user tests. For the user tests, there were two groups of participants: people working in the journalism field and people working closely to the NLP field. Both groups thought there was more value in viewing the top 10 topics view than the hierarchical view. Furthermore, the quality of the top 10 topics view was considered higher overall compared to the hierarchical view. In the end, the result of this project is a proof-of-concept visualisation prototype presenting topics of Swedish news articles, over time and in relation to each other. A few possible improvement possibilities include improving the hierarchical relations between the topics and the run time of the topic model and prototype. Also, the prototype may be further improved with additional features, e.g., real-time data, a map, the full text of the articles and a search function. / <p>Examensarbetet är utfört vid Institutionen för teknik och naturvetenskap (ITN) vid Tekniska fakulteten, Linköpings universitet</p>
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"From Harlem to Harlan County:" Print Media's Framing of Poverty in the Congressional Record between 1960 and 1964Boehm, Melissa L. H. January 2011 (has links)
No description available.
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Nyhetsmedierna om Trumps valkampanj : En diskursanalys av 3652 artiklar genom topic modeling med MALLET / News media on the Trump campaign : A discourse analysis of 3652 news articles using topic modeling through MALLETÅkerlund, Mathilda January 2017 (has links)
The aim of this study was to examine how American news media covered Donald Trump's presidential campaign in the election of 2016, as well as discussing the possible consequences of such reporting on the election results. Using mixed methods, 3652 digital news articles were studied by discourse analysis and topic modeling through MALLET. The study found that a substantial number of articles were dedicated to such non-political news reporting as scandals, portraying an image of Trump as someone who can get away with doing whatever he wants. Furthermore, the results of the study found that media helped to convey Trump’s views of minorities, doing so in particularly by citing him. The media also relied largely on polls. Comparison of the candidates through these polls enhanced the image of the election campaign as nothing more than a horse race, as well as turning up Trumps entertainment value. As the campaign continued, the reporting got more aggressive towards Trump. At the same time there was an element of wanting to balance the critical articles about him by simultaneously writing negatively about other candidates. The study concludes that all of the non-political new stories might have directed focus away from the important policy issues, leading to people voting for candidates without the proper insight into their politics.
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財務報導與財經新聞資訊內涵之差異分析研究 / Financial Reporting and Financial News - An Information Content Gap Analysis黃冠穎 Unknown Date (has links)
新聞報導在現今社會中為最便利與即時的資訊來源，也是公司與管理階層用來發布年度表現與其他重要消息的管道。本研究想要去找出新聞報導的內容與股票市場的反應之間的關連性，以及財務報表附註提供比新聞報導更多的其他資訊。
本研究以2013年度臺灣90家上市公司為樣本去探討股票市場與新聞報導及財報附註之間的關係。藉由內容分析法的方式去評估新聞報導與財報附註中的正向、負向情緒以及兩者之間的資訊差異以及兩者對股票市場的影響。藉由兩種不同的資訊來源，找出股票市場對於此兩者是否有不同的反應，並從中判斷兩種資訊內容的差異。
本研究發現新聞報導中的正向情緒與股票市場有正向的關連性，然而無法顯著證明在市場反應方面，財報附註能提供比新聞報導更豐富的資訊。 / Financial news articles are the most convenient and timely information in today’s world. Companies and managers can announce current year performance and other concurrent disclosures to investors and stakeholders by financial news articles. This study hopes to find the relationships between financial news articles and the stock market and the information content gap between financial news articles and footnotes to financial statements.
This study uses 90 listed companies in TSE of 2013 to test stock market responses to the information content in the financial news articles and footnotes to financial statements. This study implements content-analysis technique, which count words for characterizing as optimistic and negative tone and helps to decide the abundancy of information content elaborated, to find the information content to stock market reactions and compare the information content gap between financial news articles and footnotes to financial statements.
This study finds that optimistic sentiment expressed in financial news articles positively relates to the stock price movement. However, this study is unable to reach a conclusion that information disclosed in the footnotes to financial statements is significantly enough to represent the existence of information content gap as compared to financial news articles.
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Vem ska vi förlåta, Margaux Dietz eller SVT? : En kritisk diskursanalys av dokumentärfilmen Kan vi förlåta Margaux? och filmens kritik i nyhetsartiklar. / Who should we forgive, Margaux Dietz or SVT? : A critical discourse analysis of the documentary film Can we forgive Margaux? and the film's criticism in news articles.Gustavsson, Sara, Osmancevic, Minea January 2023 (has links)
Studiens syfte är att undersöka vilka diskurser som representeras i dokumentärfilmen "Kan vi förlåta Margaux?” producerad av public service företaget SVT. Vidare undersöks den kritik som diverse nyhetsartiklar har presenterat i samband med dokumentärfilmens publicering. Kritiken som framförs innehåller bland annat uttalanden som berör public service-uppdrag i det svenska samhället och att innehållsvillkor som riktas mot filmproduktionen ej uppfylls. Ovanstående har analyserats och jämförts med innehållsvillkoren som regeringen ställt upp för public service. Studiens empiriska material består av dokumentärfilmen "Kan vi förlåta Margaux?", utvalda nyhetsartiklar som innehåller respons på filmen samt regeringens innehållsvillkor för public service. Metoden som studien använde är Norman Faircloughs tredimensionella modell som har sin grund i den kritiska diskursanalysen. Studiens teoretiska ramverk utgjordes av både teoretiska analysbegrepp från den tredimensionella modellen samt Westerståhls objektivitetsmodell. Resultaten visar vilka teman responsen till dokumentärfilmen berör samt de diskurser som representeras i dokumentärfilmen. Analysen av diskurserna visade bland annat att dokumentärfilmen förhåller sig till de krav och riktlinjer som public service ska följa då de diskurser som dokumentärfilmen skildrar är i linje med de krav om saklighet och opartiskhet som SVT har att förhålla sig till.
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Which News Articles are You Reading? : Using Fingerprinting to Attack Internal Pages of News Websites / Fingeravtrycksattack mot nyhetsartiklarLindblom, Martin January 2021 (has links)
When performing fingerprinting attacks against websites in a controlled environment astudy may achieve very promising results. However, these can be misleading as the closedworld setting may not accurately represent the real-world. This is a problem many priorworks have been critiqued for, the inability to transfer their results from the closed-worldsetting to the real-world. Being able to do so is of great importance to establish what thereal-world consequences would be of fingerprint attacks. If unable to apply one’s findingsoutside of a tightly controlled environment it is difficult to gauge if these attacks types posea real threat or not. Thereby, this thesis has, contrary to previous work, based its settingon a real-world scenario to provide tangible insights into vulnerabilities of news websites.Furthermore, it targeted internal pages of websites, something understudied by previousliterature. All of this while presenting a novel classifier that is lightweight and requireslittle training, and a framework for automatically collecting and labelling encrypted TCPtraffic without the use of a proxy.
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Evaluating Hierarchical LDA Topic Models for Article CategorizationLindgren, Jennifer January 2020 (has links)
With the vast amount of information available on the Internet today, helping users find relevant content has become a prioritized task in many software products that recommend news articles. One such product is Opera for Android, which has a news feed containing articles the user may be interested in. In order to easily determine what articles to recommend, they can be categorized by the topics they contain. One approach of categorizing articles is using Machine Learning and Natural Language Processing (NLP). A commonly used model is Latent Dirichlet Allocation (LDA), which finds latent topics within large datasets of for example text articles. An extension of LDA is hierarchical Latent Dirichlet Allocation (hLDA) which is an hierarchical variant of LDA. In hLDA, the latent topics found among a set of articles are structured hierarchically in a tree. Each node represents a topic, and the levels represent different levels of abstraction in the topics. A further extension of hLDA is constrained hLDA, where a set of predefined, constrained topics are added to the tree. The constrained topics are extracted from the dataset by grouping highly correlated words. The idea of constrained hLDA is to improve the topic structure derived by a hLDA model by making the process semi-supervised. The aim of this thesis is to create a hLDA and a constrained hLDA model from a dataset of articles provided by Opera. The models should then be evaluated using the novel metric word frequency similarity, which is a measure of the similarity between the words representing the parent and child topics in a hierarchical topic model. The results show that word frequency similarity can be used to evaluate whether the topics in a parent-child topic pair are too similar, so that the child does not specify a subtopic of the parent. It can also be used to evaluate if the topics are too dissimilar, so that the topics seem unrelated and perhaps should not be connected in the hierarchy. The results also show that the two topic models created had comparable word frequency similarity scores. None of the models seemed to significantly outperform the other with regard to the metric.
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Representationen av Tornedalen : En kvalitativ diskursanalys av en svensk minoritet i riksmedia / The Representation of Tornedalen : A Qualitative Discourse Analysis of a SwedishMinority in National MediaLundblad, Andreas, Wettainen, Ebba January 2023 (has links)
This study aims to investigate the representation of the region Tornedalen and tornedalians, a Swedish minority, in national news media through a critical discourse analysis. Despite being recognized as a national minority, tornedalians have reported a lack of media coverage, which can lead to feelings of invisibility and discrimination. News media has a significant impact on what we discuss and think about, and they have the responsibility to provide a broad representation of society, including its diversity. However, historically, minority groups have been overlooked or devalued in news media, which can have consequences for marginalized groups lacking significant power, including minorities. Therefore, this study seeks to deepen the understanding of the media’s impact on society’s perception of the minority. The study analyzes how power structures and ideologies shape their representation, interpreted from a post-structuralist perspective, using concepts such as producers/consumers, positioning, otherness, subaltern, and cultural identity. The study’s findings suggest that Tornedalen is often represented as a peripheral and exoticized place, reinforcing the idea of a homogeneous Swedish identity. Tornedalians are often positioned as “the other” with their cultural practices and language being portrayed as inferior or irrelevant. Journalistic practices play a crucial role in shaping knowledge and understanding of minority groups such as tornedalians, and the study highlights the need for news media to provide a more diverse and accurate representation of society. The study also suggests areas for further research, such as investigating how different audiences interpret and react to news articles, and how Tornedalen and tornedalians are represented in public service media. Overall, this study contributes to the understanding of how news media shapes society’s perception of minorities and highlights the importance of providing a diverse and accurate representation of society.
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