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    864 research outputs found

    Perspektivwechsel: Migrationsberichterstattung in ausgewählten afrikanischen Ländern und Deutschland aus Migrant*innensicht

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    Since 2015, migration and immigration have been relevant topics of political debate in Germany. Therefore, various communication studies researched the media reporting on these issues and examined how it affects the perception of migrants within the German population (e.g. Arlt & Wolling, 2017). In distinction to this, the present study addresses the question of how migrants themselves receive migration reporting, how they perceive it, and how it shapes their personal migration and integration actions. We conducted two focus group discussions with migrants from Sub-Saharan Africa. The participants discussed both the reception and evaluation of migration reporting in their country of origin and in Germany. The results show that the topic of migration was hardly reported in the countries of origin, which is why personal migration decisions were more influenced by interpersonal communication. In Germany, the African participants perceive media reports about migration issues as too one-sided and as reduced to the sub-themes of poverty and war

    Weizenbaum Panel: Digital Citizenship – Politische Kommunikation und Partizipation in Deutschland 2020, WP2-20 [Fragebogendokumentation]

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    Die hier zum Download bereitstehende Fragebogendokumentation enthält den Fragebogen, welcher in der zweiten Befragungswelle im Erhebungszeitraum von Anfang Oktober bis Anfang Dezember 2020 verwendet wurde. This questionnaire was used in the second survey wave from the beginning of October to the beginning of December 2020. --- **Erhebungsmodus:** Computerunterstützte telefonische Befragung (CATI) **Sprache der Befragung:** deutsch **Erhobene Konstrukte:** - – Internet- und Social-Media-Nutzung: Nutzungsmotive/-aktivitäten - – Nachrichtennutzung und politische Diskussionen - – Politisches Interesse, Political Efficacy und Politisches Vertrauen - – Demokratieverständnis und -zufriedenheit - – Wichtigstes politisches Thema - – Traditionelle und internetbezogene Bürgernormen - – Politische Orientierung und Parteimitgliedschaft - – Politische Partizipation und Partizipationsbereitschaft - – Reaktion auf Hasskommentare und Falschnachrichten im Internet (Online Civic Intervention) - – Soziodemographi

    Scraping the demos. Digitalization, web scraping and the democratic project

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    Scientific, political and bureaucratic elites use epistemic practices like “big data analysis” and “web scraping” to create representations of the citizenry and to legitimize policymaking. I develop the concept of “demos scraping” for these practices of gaining information about citizens (the “demos”) through automated analysis of digital trace data which are re-purposed for political means. This article critically engages with the discourse advocating demos scraping and provides a conceptual analysis of its democratic implications. It engages with the promise of demos scraping advocates to reduce the gap between political elites and citizens and highlights how demos scraping is presented as a superior form of accessing the “will of the people” and to increase democratic legitimacy. This leads me to critically discuss the implications of demos scraping for political representation and participation. In its current form, demos scraping is technocratic and de-politicizing; and the larger political and economic context in which it takes place makes it unlikely that it will reduce the gap between elites and citizens. From the analytic perspective of a post-democratic turn, demos scraping is an attempt of late modern and digitalized societies to address the democratic paradox of increasing citizen expectations coupled with a deep legitimation crisis

    Digidem Digest - Issue 22 (January 2020)

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    The Digidem Digest literature radar was a monthly curated overview of the latest publications with relevance to the research group "Democracy and Digitalization" at the Weizenbaum Institute. Their research focused around the interrelation of digitalization and democratic self-determination, asking how liberal-democratic societies appropriate digital technologies and how democracy is changing within the digital configuration. The present articles and publications were chosen by observation of leading journals within the field - a list can be found at the end of each newsletter

    Why we find little evidence of digital fragmentation, but should not stop researching it

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    While mass media are generally ascribed integrative potential, scholars assume negative effects on social cohesion for the Internet. Respective metaphors such as "filter bubbles" and "echo chambers" have meanwhile found their way into public discourse. However, empirical research that documents detrimental effects of digital fragmentation remains the exception. The state of research thus does not support fears about a stark loss of social cohesion due to the Internet. Yet there are groups on the fringe of the political spectrum that appear to be digitally fragmented. Given these heterogeneous results, the article systematizes theoretical assumptions and empirical findings and argues that it remains necessary to assess the extent and effects of digital fragmentation

    Digidem Digest - Issue 23 (February 2020)

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    The Digidem Digest literature radar was a monthly curated overview of the latest publications with relevance to the research group "Democracy and Digitalization" at the Weizenbaum Institute. Their research focused around the interrelation of digitalization and democratic self-determination, asking how liberal-democratic societies appropriate digital technologies and how democracy is changing within the digital configuration. The present articles and publications were chosen by observation of leading journals within the field - a list can be found at the end of each newsletter

    What Affects First- and Second-Level Selective Exposure to Journalistic News? A Social Media Online Experiment

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    On social media, journalistic news products compete with entertainment-oriented and user-generated contents on two different stages of news use: First, users navigate their attention through a continuous stream of information in their newsfeed and, second, they potentially click on some of these posts to spend time with the actual full-contents. The present study conceptualizes these two types of news use behaviors in social media environments as first- and second-level selective exposure. Based on this new approach, we investigated main drivers of journalistic news exposure on both exposure levels in an online survey experiment before the German federal election in 2017 (N = 210). To achieve high ecological validity, we developed a Newsfeed Exposure Observer (NEO)-Framework to recreate realistic user settings for online experiments studying selective exposure in the digital era, where news posts are complemented by popularity cues like social endorsements or individual recommendations. Findings show that, at the first level of selective exposure, attention to journalistic news posts is particularly affected by political interest. However, the decision to click on posts in the newsfeed and to spend time with the linked contents seems more strongly driven by social factors than by individual predispositions

    Supplemental material for “Beware: Processing of Personal Data—Informed Consent Through Risk Communication”

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    Appendix A: GDPR content analysis Appendix B: Expert interview questions Appendix C: Results of the systematic qualitative content analysis of expert interview

    Supplementary Material for “Self-Focused and Other-Focused Health Concerns as Predictors of the Uptake of Corona Contact Tracing Apps. Empirical Study”

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    Multimedia Appendix 1. Logistic regression models predicting app uptake with concerns (T1). Multimedia Appendix 2. Linear regression model predicting the change in “Concern self” with app uptake. Multimedia Appendix 3. Linear regression model predicting the change in “Concern others” with app uptake. Multimedia Appendix 4. Logistic regression model (M7) examining a curvilinear association between “Concern self” (T2) and app uptake. Multimedia Appendix 5. Logistic regression model (M8) examining a curvilinear association between “Concern others” (T2) and app uptake

    Supplemental Material for “Pandemic protesters on Telegram”

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    ### Supplemental Material A.1 STM results A.2 Message characteristics A.3 Cluster prevalence of all actor types A.4 Reliability coefficients of manual content analysis A.5 Two-sample t-tests of topic distributions by entity type A.6 Pairwise two-sample t-tests of topic distributions by source type B.1 Codebook B.2 Codebook appendi

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