Summary information

Study title

An archive and corpus of Twitter/X's policies for Tweet redistribution 2006-2023

Creator

Golland, Luisa ( GESIS - Leibniz-Institute for the Social Sciences)
Recker, Jonas ( GESIS - Leibniz-Institute for the Social Sciences)
Schwalbach, Jan ( GESIS - Leibniz-Institute for the Social Sciences)

Study number / PID

10.7802/2847 (GESIS)

10.7802/2847 (DOI)

Data access

Information not available

Series

Not available

Abstract

When researchers publish results based on the analysis of Tweets, good practice requires sharing the Tweets (or Tweet IDs) to enable reproducibility of the results. What may or may not be shared depends on the Twitter/X terms for the redistribution of the platform’s content. As a complete archive of these terms is currently not easily accessible, we used The Internet Archive's Wayback Machine to gather all documents from Twitter/X that detail the terms and conditions for content redistribution, in effect between 2006 and November 2023. Based on the relevant conditions for the redistribution of Twitter/X content to third parties a "restriction_score" was assigned to each version of the terms/policies, to express how restrictive the regulations for the redistribution of content are. In addition, to facilitate analyses of the respective documents, a corpus has been created. The included archive of .html files allows researchers who collected Twitter/X content in the past, and who are now considering sharing this content, to determine the regulation in effect at the time of Tweet collection. Python scripts and a list of URLs are provided, which can be used to replicate the creation of the .html files published here. An R script is provided to create the corpus from the .html files.

Topics

Not available

Methodology

Data collection period

01/07/2024 - 01/08/2024

Country

Time dimension

Not available

Analysis unit

Not available

Universe

Sampling procedure

Not available

Kind of data

Not available

Data collection mode

Compilation/Synthesis

Access

Publisher

GESIS Data Archive for the Social Sciences

Publication year

2025

Terms of data access

Free access (without registration) - The research data can be downloaded directly by anyone without further limitations.

Related publications

Not available