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GESIS Search
Find information about social science research data, publications on research data as well as open access publications.
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Contact: suche@gesis.org
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GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2696
Abstract: The datasets were created for a cross-national comparison of gigwork platform models in two sectors, ridehailing and food delivery and covers the two to four dominant pla ... more
Abstract: The datasets were created for a cross-national comparison of gigwork platform models in two sectors, ridehailing and food delivery and covers the two to four dominant pla ... more
Availability: Free access (without registration)
Subject area: [Sociology]
Topics: labor, digitalization, macro level, international comparison, self-employment, extradition, online service
Date(s) of Data Collection: 2022-03; 2022-10
Geographic coverage: [Malta / MT [=] Portugal / PT [=] Belgium / BE [=] Bulgaria / BG [=] Germany / DE [=] Denmark / DK [=] Estonia / EE [=] Finland / FI [=] France / FR [=] Greece / GR [=] Ireland / IE [=] Italy / IT [=] Canada / CA [=] Croatia / HR [=] Latvia / LV [=] Lithuania / LT [=] Luxembourg / LU [=] Netherlands / NL [=] Norway / NO [=] Poland / PL [=] Romania / RO [=] Sweden / SE [=] Switzerland / CH [=] Slovakia / SK [=] Slovenia / SI [=] Spain / ES [=] Czech Republic / CZ [=] Hungary / HU [=] United States of America / US [=] United Kingdom of Great Britain and Northern Ireland / GB [=] Cyprus / CY [=] Austria / AT]
Geographic coverage (free): [Europa [=] Nordamerika]
Universe: Gigwork-Plattformen, Sektoren: Essenslieferdienste (Restaurants), Personentransport (städtisch, Kurzstrecke), landesweit aktiv 2022
Sampling Procedure: Non-probability Sample - Purposive Sample
Temporal Research Design: cross-section
Mode of Data Collection: Aggregation
Primärforschende, Institution: Ametowobla, Dzifa; Technische Universität Berlin
Publication year: 2024
Study number: SDN-10.7802-2696
Contributor, Institution, Role: [Pohl, Simon; Technische Universität Berlin (Data Collector) [=] Mosler, Mariah; Technische Universität Berlin (Data Collector) [=] Dehdarian, Siard Nikolai; Technische Universität Berlin (Data Collector) [=] Kirchner, Stefan; Technische Universität Berlin (Project Leader)]
Project funder: Deutsche Forschungsgemeinschaft (DFG)
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2696
Downloads
- Datasets
- Syntax file
- Questionnaires
- Codebook
- Methods report
- Other documents
Purpose of use:
Downloads:
Downloads:
adjusted_initial_data.rds
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MD5: | e42b3be6395869674f8bb02e030ecf08 |
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Type of file: | Research Data |
File size: | 146.7 KB |
Language: | English / en |
Number of variables: | 251 |
Number of units: | 1047 |
Software and Version | R |
final_data.rds
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MD5: | 542dccedd7e12850624f83126505f2cc |
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Type of file: | Research Data |
File size: | 3.24 KB |
Language: | English / en |
Number of variables: | 22 |
Number of units: | 187 |
Software and Version | R |
rawdata.rds
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MD5: | 25b12f6f8bfbc53845e9c1f71917c6dd |
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Type of file: | Research Data |
File size: | 424.28 KB |
Version date: | 2023-05-10 |
Language: | English / en |
Number of variables: | 491 |
Number of units: | 4849 |
Software and Version | R |
Purpose of use:
Downloads:
Downloads:
buildFinalData.R
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MD5: | 5cee4e7d0d863d8733f5278ae0db8770 |
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Type of file: | Syntax |
File size: | 64.84 KB |
Language: | German / de |
Software and Version | R |
Additional information about the file | R-script for transforming the adjusted initial data into the final data |
initMalema.R
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MD5: | 336521769b44dfb75c75c6a51549ac12 |
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Type of file: | Syntax |
File size: | 9.52 KB |
Software and Version | R |
Additional information about the file | R-script preparing the environment for data processing |
prepareData.R
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MD5: | 9a373efba694d9b99b1f166aad10fb4f |
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Type of file: | Syntax |
File size: | 29.15 KB |
Language: | German / de |
Software and Version | R |
Additional information about the file | R-script transformin raw data into adjusted initial data |
Downloads:
FB-organiserInfos.csv
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MD5: | 192a25b5970388379bac368b88896317 |
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Type of file: | Questionnaire |
File size: | 29.78 KB |
Software and Version | Microsoft Excel |
FB-prescreenerAll.csv
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MD5: | 640d69346ccb93ca5900c0cf6faf4522 |
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Type of file: | Questionnaire |
File size: | 12.93 KB |
Software and Version | Microsoft Excel |
FB-workers.csv
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MD5: | cebc158a23c7940fee7d0dcd5b937151 |
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Type of file: | Questionnaire |
File size: | 36.04 KB |
Software and Version | Microsoft Excel |
FB-workersNADelivery.csv
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MD5: | c0b14ab368007535e4b5204594354145 |
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Type of file: | Questionnaire |
File size: | 30.36 KB |
Software and Version | Microsoft Excel |
FB-workersNATransport.csv
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MD5: | 18d656c4670ee8826ac2c8c1ff5bdbf1 |
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Type of file: | Questionnaire |
File size: | 30.42 KB |
Software and Version | Microsoft Excel |
Downloads:
Codebook_adjusted_initial_data.xlsx
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MD5: | 430a22ef4e3c47e011a34c074369ecc7 |
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Type of file: | Codebook |
File size: | 36.32 KB |
Language: | English / en |
Software and Version | Microsoft Excel |
Codebook_final_data.xlsx
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MD5: | f3940d5bef44e52e63360bdce4893925 |
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Type of file: | Codebook |
File size: | 67.31 KB |
Language: | English / en |
Software and Version | Microsoft Excel |
Codebook_rawdata.xlsx
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MD5: | a5630656fbce8529a3b91177d8a02757 |
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Type of file: | Codebook |
File size: | 43.04 KB |
Language: | English / en |
Software and Version | Microsoft Excel |
Downloads:
Report.pdf
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MD5: | c3ddc227820f7f5234abdf06ee45bb44 |
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Type of file: | Methods Report |
File size: | 302.89 KB |
Language: | English / en |
Software and Version | Adobe pdf |
Downloads:
Konzerne.xlsx
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MD5: | 0a751f9e2158c965876566167ac7e0b9 |
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Type of file: | Other Documents |
File size: | 13.42 KB |
Language: | English / en |
Software and Version | Microsoft Excel |
Additional information about the file | Relations between national platforms and international corporations |
colnames.xlsx
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MD5: | 12137ac39e596dcd4afd376d283ae371 |
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Type of file: | Other Documents |
File size: | 22.5 KB |
Language: | English / en |
Software and Version | Microsoft Excel |
Additional information about the file | Helper file for data processing: Map of variable names in rawdata to variable names in adjusted initial data |
locations.xlsx
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MD5: | 26ecc58dee809152e970f1a70a97698b |
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Type of file: | Other Documents |
File size: | 10.72 KB |
Language: | English / en |
Software and Version | Microsoft Excel |
Additional information about the file | Helper file with information about countries (ISO codes, institutional regime etc.). Input for data processing. |
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2677
Other Title (type): Online Anti-Gender Equality Mobilizations and Counter Strategies (Subtitle), Anti-gender discourses online (Subtitle)
Abstract: These data were collected as part of PushBackLash's Work Package on anti-gender discourses online to analyze anti-gender equality strategies on Twitter/X to develop typol ... more
Abstract: These data were collected as part of PushBackLash's Work Package on anti-gender discourses online to analyze anti-gender equality strategies on Twitter/X to develop typol ... more
Availability: Embargo (maximum 2 years)
Embargo until: 2026-02-20
Availability after expiration of the embargo: Free access (with registration)
Subject area: [Political Science [=] Information Science [=] Mass Communication [=] Womens Studies, Feminist Studies, Gender Studies]
Topics: twitter, discourse, gender, online media, online service, social media, gender studies, inequality, mobilization
Date(s) of Data Collection: 2023-07; 2023-12
Geographic coverage: [Austria / AT [=] Germany / DE [=] Poland / PL [=] Netherlands / NL [=] Italy / IT [=] Spain / ES [=] Hungary / HU [=] United Kingdom of Great Britain and Northern Ireland / GB]
Universe: Important pro- and anti-gender equality actors in the European Union (X Users)
Sampling Procedure: Non-probability Sample - Purposive Sample
Temporal Research Design: cross-section
Mode of Data Collection: Compilation/Synthesis
Notes: On November 14th 2023 X (former Twitter) changed the developer agreement and terms. One unexpected change referred to the content redistribution. Specifically, it states: Academic researchers are permitted to distribute Post IDs and/or User IDs solely for the purposes of non-commercial research on behalf of an academic institution, and that has been approved by X in writing, or peer review or validation of such research. Only as many Post IDs or User IDs as is necessary for such research, and have been approved by X may be used.The changes impact the Tweet IDs we are allowed to deposit and share publicly. Specifically, it implies that for those tweets collected before November 14th (~27,000) the tweet IDs will be deposited with GESIS. For the tweets collected after November 14th, we ask X for permission to share them. If X agrees, we will deposit the Tweet IDs with GESIS. If X disagrees, we will not be able to deposit these tweets. We will also monitor closely any developments in case the developer agreement and terms change again in the future.
Primärforschende, Institution: Kesberg, Rebekka; University of Amsterdam, Mügge, Liza; University of Amsterdam
Publication year: 2024
Study number: SDN-10.7802-2677
Project funder: This project has received funding from the European Union’s Horizon 2021 research and innovation programme under grant agreement N° 101061687.
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2677