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- ItemSupplemental material: “Whose ideas are worth spreading? The representation of women and ethnic groups in TED talks”(2019)S1 Image recognition algorithm S2 Topic modeling S3 Regressions References
- ItemWeizenbaum Panel: Digital Citizenship – Politische Kommunikation und Partizipation in Deutschland 2019, WP1-19 [Fragebogendokumentation](Weizenbaum Institute, 2020) Emmer, Martin; Schaetz, Nadja; Leißner, Laura; Porten-Cheé, Pablo; Strippel, ChristianDie hier zum Download bereitstehende Fragebogendokumentation enthält den Fragebogen, welcher in der ersten Befragungswelle im Erhebungszeitraum von Anfang September bis Ende November 2019 verwendet wurde. This questionnaire was used in the first survey wave from the beginning of September to the end of November 2019. --- **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 - – Wichtigkeit politisches Thema - – Traditionelle und internetbezogene Bürgernormen - – Politische Orientierung und Parteimitgliedschaft - – Politische Partizipation und Partizipationsbereitschaft - – Reaktion auf Hasskommentare und Falschnachrichten im Internet (Online Civic Intervention) - – Soziodemographie
- ItemWeizenbaum Panel: Politische Partizipation in Deutschland 2019, WP1-19 [Methodenbericht](Weizenbaum Institute, 2020) Weizenbaum PanelDer hier zum Download bereitstehende Methodenbericht enthält zentrale Informationen zur ersten Befragungswelle im Erhebungszeitraum von Anfang September bis Ende November 2019.
- ItemSupplementary Material for “Political Opinion Formation as Epistemic Practice. The Hashtag Assemblage of #metwo”(2020) Berg, Sebastian; König, Tim; Koster, Ann-KathrinAppendix 1. German newspaper articles reporting on the hashtag #metwo. Appendix 2. Relative share of references (retweets, replies, quotes, mentions) between communities, rounded. References are column-directed and relative to the total number of references per community. Appendix 3. Share of topics within communities in percent, rounded.
- ItemUmfrage zu Forschungsdatenmanagement am Weizenbaum-Institut(Zenodo, 2021) Toth, Roland; Vuorimäki, Julian; Schimmler, Sonja; Krzywdzinski, Martin; Friesike, Sascha; Neuberger, Christoph; Oellers, ClaudiaThis dataset contains responses to a survey on open data and open access amongst members of the Weizenbaum Institute for the Networked Society which ran from 30 August to 21 September 2021. The survey elicited 39 valid responses out of 181 potential respondents working at the institute. Contributors (according to CRediT): Roland Toth Roles: Conceptualization, Data Curation, Formal Analysis, Investigation, Validation. Julian Vuorimäki Roles: Conceptualization, Investigation, Project Administration, Validation. Sonja Schimmler Roles: Conceptualization, Supervision. Martin Krzywdzinski Roles: Conceptualization, Supervision. Sascha Friesike Roles: Conceptualization, Supervision. Christoph Neuberger Roles: Conceptualization, Supervision. Claudia Oellers Roles: Conceptualization, Project Administration, Supervision.
- ItemWeizenbaum Panel: Politische Partizipation in Deutschland 2020, WP2-20 [Methodenbericht](Weizenbaum Institute, 2021) Weizenbaum PanelDer hier zum Download bereitstehende Methodenbericht enthält zentrale Informationen zur zweiten Befragungswelle im Erhebungszeitraum von Anfang Oktober bis Anfang Dezember 2020.
- ItemWeizenbaum Panel: Digital Citizenship – Politische Kommunikation und Partizipation in Deutschland 2020, WP2-20 [Fragebogendokumentation](Weizenbaum Institute, 2021) Emmer, Martin; Schaetz, Nadja; Leißner, Laura; Porten-Cheé, Pablo; Strippel, ChristianDie 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) - – Soziodemographie
- ItemSupplementary Material for “The power of code. Women and the making of the digital world”(2021) Klinger, Ulrike; Svensson, JakobList of interviews (Name, Place of Interview, Time of Interview, Occupation)
- ItemSupplementary Material for “Somebody’s Watching Me: Smartphone Use Tracking and Reactivity”(2021) Toth, Roland; Trifonova, Tatiana## Files + CHBR/analysis.Rmd + CHBR/data_all.csv + CHBR/visualization_all.pdf
- ItemAttachment to the article “From Insult to Hate Speech: Mapping Offensive Language in German User Comments on Immigration”(2021) Paasch-Colberg, Sünje; Strippel, Christian; Trebbe, Joachim; Emmer, Martin### English Translation of German User Comments Attachment to the article “From Insult to Hate Speech: Mapping Offensive Language in German User Comments on Immigration” as part of the issue “Dark Participation in Online Communication: The World of the Wicked Web”, edited by Thorsten Quandt (University of Münster, Germany). #### Disclaimer This document contains both the German original and the English translation of all user comments quoted in the article. In order to ensure the anonymity of the authors, the original German quotations were modified. However, the parts that are relevant to the argument or example remain unchanged. Due to the nature of this document, the user comments presented here contain potentially offensive and upsetting terms, particularly racist and islamophobic. They are solely used as examples to illustrate the results of this research and do not reflect the views of the authors in any way.
- ItemSupplementary Material for “Self-Focused and Other-Focused Health Concerns as Predictors of the Uptake of Corona Contact Tracing Apps. Empirical Study”(2021) Große Deters, Fenne; Meier, Tabea; Milek, Anne; Horn, Andrea B.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.
- ItemSupplementary Material: “What Constitutes a Local Public Sphere? Building a Monitoring Framework for Comparative Analysis”(2021) Fischer, Renate; Keinert, Alexa; Jarren, Otfried; Klinger, UlrikeSupplementary Material: List of Variables (Dimension, Category, Indicator, Variable, Data Source, Evaluation)
- ItemFAIREST Metrics and Assessment Data(zenodo, 2021-11-08) d’Aquin, Mathieu; Kirstein, Fabian; Schimmler, Sonja; Oliveira, Daniela; Urbanek, Sebastian
This data supplements the article “FAIREST: A Framework for Assessing Research Repositories”. In the article, we introduce the FAIREST principles, an extension of the well-known FAIR principles. Along these principles, we provide comprehensive metrics for assessing and selecting solutions for building digital repositories for research artefacts. The metrics are based on two pillars:
- an analysis of established features and functionalities, drawn from existing solutions,
- a literature review on general requirements for digital repositories for research artefacts and related systems.
- – ResearchGate
- – Academia.edu
- – Zenodo
- – arXiv
- – Bibsonomy
- – Figshare
- – CKAN
- – DSpace
- – Invenio
- – Dataverse
- – EPrints
We further describe an assessment of 11 widespread solutions, with the goal to provide an overview of the current landscape of research data repository solutions, identifying gaps and research challenges to be addressed. The solutions are:
Overview of the data
01 FAIREST Assessment Metrics and Solutions (All-in-one).xlsx
This Excel file includes both the assessment metrics and the results for the 11 solutions
02 FAIREST Assessment Metrics.csv
The assessment metrics as CSV
XX FAIREST Assessment XXX.csv
Assessment result for the respective solution
14 FAIREST Assessment Template.xlsx
A template to apply the metrics to an individual solution
Note: Fill in your assessment in column F and get the result at the bottom of the sheet
- ItemWeizenbaum Panel: Politische Partizipation in Deutschland 2021, WP3-21 [Methodenbericht](Weizenbaum Institute, 2022) Weizenbaum PanelDer hier zum Download bereitstehende Methodenbericht enthält zentrale Informationen zur dritten Befragungswelle im Erhebungszeitraum von Anfang Oktober bis Mitte Dezember 2021.
- ItemWeizenbaum Panel: Digital Citizenship – Politische Kommunikation und Partizipation in Deutschland 2021, WP3-21 [Fragebogendokumentation](Weizenbaum Institute, 2022) Emmer, Martin; Heger, Katharina; Strippel, Christian; Porten-Cheé, Pablo; Leißner, LauraDie hier zum Download bereitstehende Fragebogendokumentation enthält den Fragebogen, welcher in der dritten Befragungswelle im Erhebungszeitraum von Anfang Oktober bis Mitte Dezember 2021 verwendet wurde. This questionnaire was used in the third survey wave from the beginning of October to mid-December 2021. --- **Erhebungsmodus:** Computerunterstützte telefonische Befragung (CATI) **Sprache der Befragung:** deutsch **Erhobene Konstrukte:** - – Medien- und Social-Media-Nutzung, politische Mediennutzung - – Politisches Interesse, Political Efficacy und Politisches Vertrauen - – Demokratieverständnis und -zufriedenheit - – Internetbezogene Bürgernormen und politische Partizipation - – Wichtigstes politisches Thema und politische Orientierung - – Politische Geschlechternormen und feministische Einstellungen - – Reaktion auf Hasskommentare und Falschnachrichten im Internet (Online Civic Intervention) - – Soziodemographie
- ItemSupplementary Material for “Feminist women’s online political participation: empowerment through feminist political attitudes or feminist identity?”(2022) Heger, Katharina; Hoffmann, ChristianAppendix A. Feminist Women: Sample Description Appendix B: Principal Component Analysis and Cronbach’s Alpha of three Paradigms of Feminist Attitudes Appendix C: Pearson’s Correlation Coefficient Appendix D: Means and Standard Deviations on the Measures of General and Feminist Online Political Participation Appendix E: Measures, Means and Standard Deviations of the Control Variables
- ItemOnline Supplementary Material for “How Right-Wing Populist Comments Affect Online Deliberation on News Media Facebook Pages“(2022) Thiele, Daniel; Turnšek, TjašaAppendix A: Literature Review Appendix B: Dictionaries for the Topic of Migration Appendix C: Codebook Appendix D: Automated Text Analysis Appendix E: Summary Statistics for Step 1 and Step 2 Appendix F: Right-wing Populism in Comments by Media Type Appendix G: Regression Tables for Step 1 References in Appendices A-G
- ItemSupplementary Material for “Mapping HCI research methods for studying social media interaction. A systematic literature review”(2022) Shibuya, Yuya; Hamm, Andrea; Cerratto Pargman, TeresaTable S1. The corpus described in terms of methodological approach and research type covered Bibliography of reviewed papers
- ItemSupplementary Material for “Mobilization and Support Structures in Radical Right Party Networks”(2022) Heft, Annett; Reinhardt, Susanne; Pfetsch, BarbaraSupplementary Online Appendix Mobilization and Support Structures in Radical Right Party Networks. Digital Political Communication Ecologies in the 2019 European Parliament Elections Table A1: Data overview on parties’ activity and references included in study, May 2019 Table A2: Data overview on user engagements with parties and references included in study, May 2019 Table A3: Valence of parties’ digital connections (top-down), in percent Table A4: Valence of user interactions with parties, in percent Codebook A – Actors Codebook B – Functions of References
- ItemSupplementary Information: “Extracting the interdisciplinary specialty structures in social media data-based research: A clustering-based network approach”(2022) Fan, Yangliu; Lehmann, Sune; Blok, AndersIn this Supplementary Information, we provide the additional analyses of authors and detail the results for network analysis that we present in the paper. The weighted network is generally represented as a graph G = (V, E, 𝜔) with a weight 𝜔 assigned to each edge, where V is the graph's vertex set, and E is the edge set. We assume that G is a simple undirected graph with no multiple edges or loops, and edges have no orientations. S1 Author-level analysis S2 Comparison of the two network filtering techniques S3 Network statistics S4 The disciplinary composition of clusters in the networks
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