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- ItemTikTok Content Scraper(github, 2025-02-12) Bukold, QuentinThis scraper allows you to download both TikTok videos and slides without an official API key. In addition, about 100 metadata about the video, author, music, video file and hashtags can be scraped. The scraper was built as a Python class and can be inherited by a custom parent class. This allows the scraper to be easily connected to a database, for example. Version 2.0 represents a complete architectural redesign of the first version aimed at reducing code complexity, improving usability, and introducing new features including SQLite database integration for progress tracking. This project was originally developed at: https://github.com/Q-Bukold/TikTok-Content-Scraper
- ItemComparison of the Draft and Adopted Delegated Act on Data Access. (DSA 40 Data Access Collaboratory)(2025-07-10) Seiling, LKFirst release of the materials for the comparison between the draft delegated act on data access (DDA) and the adopted delegated act (DA). Includes: - – source documents (draft delegated act on data access + appendix [DDA] and the adopted delegated act on data access + appendix [DA]) - – .csv table with aligned text passages from the source documents and their positions (excluding appendix) (changes_DDA_DA.csv) - – python script to generate the html for visual comparison (compare_DDA_DA.html) - – the resulting html to be rendered by a browser (compare_DDA_DA.html) - – The python requirements (requirements.txt) - – The README.md (README.md) Comparison is available at: https://dsa40collaboratory.eu/dda-da-comparison/
- 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