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- ItemReproduction 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.png - ItemSupplemental Material for “Notable enough? The questioning of women’s biographies on Wikipedia”(2024) Martini, FranziskaTable I. Sample size Table II. Reliability coefficients Table III. Total and relative numbers of biographies nominated for deletion by specific criteria for notability Figure I. Percentage of users and their level of justification by their position and the biography’s gender Figure II. Numbers of German-language Wikipedia biographies by tagged gender category and year of creation Figure III. Number of deletion nominations (N = 396) per logged-in users (N = 158) Figure V. Number of decisions (N = 362) per administrator (N = 35) Figure IV. Number of discussions (N = 461) logged-in users (N = 608) participated in
- ItemReplication Data for: “Who reports witnessing and performing corrections on social media in the US, UK, Canada, and France?”(2024) Tang, Rongwei; Vraga, Emily; Bode, Leticia; Boulianne, ShelleyThese are the replication materials for the article "Who reports witnessing and performing corrections on social media in the US, UK, Canada, and France?" ### Files + HKSMR data.tab + HKSMR syntax.sps
- ItemSupplementary data for “Why, with whom, and how to conduct interdisciplinary research? A review from a researcher’s perspective”(2024) Vladova, Gergana dc.contributor.author Haase, Jennifer dc.contributor.author Friesike, SaschaSupplementary data Table 1: Overview of the paper included in the data analysis. (Essential papers in bold) Table 2: Overview of the coding scheme
- ItemSupplementary Material for “Crossers in a Segmented Labour Market: Occupational Advancement and Wage Changes from Semi-Skilled and Unskilled Jobs”(2024) Wotschack, Philip dc.contributor.author Samtleben, Claire### Appendix Tab. 3.1: Descriptives (‘stayers’ and ‘movers’) Tab. 3.2: Descriptives (‘stayers’ only) Tab. 4: Logistic regression: Factors influencing career advancement (‘stayers’ and ‘movers’) Tab. 5: OLS regression analysis: Factors influencing wage changes (‘stayers’ and ‘movers’)