Research Data
Permanent URI for this collectionhttps://www.weizenbaum-library.de/handle/id/977
Browse
Item Supplemental material: “Whose ideas are worth spreading? The representation of women and ethnic groups in TED talks”(2019) Schwemmer, Carsten; Jungkunz, SebastianS1 Image recognition algorithm S2 Topic modeling S3 Regressions ReferencesItem Reproduction Material for: Whose ideas are worth spreading? The representation of women and ethnic groups in TED talks(Harvard Dataverse, 2019-07-12) Schwemmer, CarstenThis repository contains replication data for "Whose ideas are worth spreading? The representation of women and ethnic groups in TED talks". (2009-07-12)
#### Readme The R code for all analysis is included in the file "ted_talks_analysis_replication.Rmd". An html version of the analysis including output is available in file "ted_talks_analysis_replication.html" The remaining files are either figures, UTF-8 encoded and tab-delimited datasets (original format .tsv, dataverse format .tab), or R objects (ending with .RData). Please consider that data for TED talks is licensed under a Creative Commons License by TED. The Python code for collecting the data from TED and the image recognition service is not included in this repository. Unfortunately the TED website already changed since the time of data collection, and the code therefore does not work anymore. In case you have any questions about the replication material, feel free to contact me at c.schwem2er@gmail.com
#### File list - readme.txt - ted_main_dataset.tsv - ted_ready_for_analysis.RData - ted_talks_analysis_replication.html - ted_talks_analysis_replication.Rmd - ted_talks_validation.tsv - ted_yt-comments_sentiment.tsv - ted_yt-comments.tsv - figures/figure2.pdf - figures/figure2.png - figures/figure3.pdf - figures/figure3.png - figures/figure4.pdf - figures/figure4.png - figures/supporting_information_figure1.png - figures/supporting_information_figure2.png - figures/supporting_information_figure3.png - figures/supporting_information_figure4.png - figures/supporting_information_figure5.pngItem Supplementary 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.Item Subject Access Request response data - 105 iOS and 120 Android apps(2020-06-28) Kröger, Jacob Leon; Lindemann, Jens; Herrmann, DominikThis data shows how 225 app vendors responded to subject access requests in a longitudinal privacy study between the years 2015 and 2019. Details can be found in the corresponding publication: Jacob Leon Kröger, Jens Lindemann, and Dominik Herrmann. 2020. How do App Vendors Respond to Subject Access Requests? A Longitudinal PrivacyStudy on iOS and Android Apps. In The 15th International Conference onAvailability, Reliability and Security (ARES 2020), August 25–28, 2020, VirtualEvent, Ireland. ACM, New York, NY, USAItem Supplementary 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)Item Supplementary 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.Item Attachment 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.Item Umfrage 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.Item Supplementary 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.pdfItem Supplementary 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)Item FAIREST Metrics and Assessment Data(zenodo, 2021-11-08) d’Aquin, Mathieu; Kirstein, Fabian; Schimmler, Sonja; Oliveira, Daniela; Urbanek, SebastianThis 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
Item Supplementary 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 VariablesItem Supplementary 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 ReferencesItem Appendix to “Your social ties, your personal public sphere, your responsibility”(2022) Gagrčin, Emilija### Appendix Vignette 1: Private Profile Vignette 2: Public PageItem Boulianne, Shelley (2021). Pathways to Environmental Activism in Four Countries. figshare. Dataset.(2022) Boulianne, ShelleyYouthEnviroActivism Sept2021.sav YouthEnviroActivism Sept2021.sps YouthEnviroActivism Sept2021.spv YouthEnviroActivism Sept2021.xlsItem Online 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-GItem Supplementary 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 papersItem Supplementary 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 networksItem Supporting Information for “How Research Data Management Plans Can Help in Harmonizing Open Science and Approaches in the Digital Economy”(2022) Salazar, Abel; Wentzel, Bianca; Schimmler, Sonja; Gläser, Roger; Hanf, Schirin; Schunk, Stephan A.Supporting Information - 1. Business models, which can arise within a digital economy - 2. Information about the questionnaire - Table S1: Overview of the answers to questions 1 to 7 - Table S2: Overview of the answers to questions 8 to 11Item Interviews zu Forschungsdateninfrastrukturen und digitalen Praktiken offener Wissenschaft am Weizenbaum-Institut(Zenodo, 2022-02-04) Bauer, Mareike; Wünsche, HannesDie Forschungsgruppe „Digitalisierung der Wissenschaft“ begleitet am Weizenbaum-Institut den Aufbau eines Repositoriums für Publikationen und Forschungsdaten. Als Teil der Anforderungsanalyse wurden leitfadengestützte Interviews mit wissenschaftlichen Mitarbeiter*innen des Weizenbaum-Instituts durchgeführt. Ziel dieser war es, deren Erfahrung mit und Anforderungen an Forschungsdateninfrastrukturen zu identifizieren. Dieser Datensatz beinhaltet: \+ Studienreport \+ anonymisierte Interviewtranskripte \+ E-Mail Aufruf \+ Interviewleitfaden \+ Einwilligungserklärung.
- «
- 1 (current)
- 2
- 3
- »