TWikiL - Twitter Wikipedia Link Dataset

Abstract

Recent research has shown how strongly Wikipedia and other web services or platforms are connected. For example, search engines rely heavily on surfacing Wikipedia links to satisfy their users' information needs and volunteer-created Wikipedia content frequently gets re-used on other social media platforms like Reddit. However, publicly accessible datasets that enable researchers to study the interrelationship between Wikipedia and other platforms are sparse. In addition to that, most studies only focus on certain points in time and don't consider the historical perspective. To begin solving these problems we developed TWikiL, the Twitter Wikipedia Link Dataset, which contains all Wikipedia links posted on Twitter in the period 2006 to January 2021. We extract Wikipedia links from Tweets and enrich the referenced articles with their respective Wikidata identifiers and Wikipedia topic categories, which will make this dataset immediately useful for a large range of scholarly use cases. In this paper, we describe the data collection process, perform an initial exploratory analysis and present a comprehensive overview of how this dataset can be useful for the research community.

Investigating the potential of the semantic web for education: Exploring Wikidata as a learning platform

“…While reviewing the literature, it was found that the majority of existing research focuses on either technological aspects or ontological aspects of the platform. More Specifically, review of the literature illustrated that researchers use Wikidata to conduct new types of research (Amaral et al, 2021;Colla et al, 2021;Ferradji & Benchikha, 2021;Good et al, 2016;Kaffee, 2016;Konieczny & Klein, 2018;Lemus-Rojas & Odell, 2018;Li et al, 2022;Meier, 2022;Mietchen et al, 2015;Morshed, 2021;Neelam et al, 2022;Rasberry & Mietchen, 2021;Shenoy et al, 2022;Taveekarn et al, 2019;Waagmeester et al, 2020Waagmeester et al, , 2021Zhang et al, 2022). Researchers also use Wikidata to conduct new types of academic analysis in a variety of disciplines (Arnaout et al, 2021;Burgstaller-Muehlbacher et al, 2016;Kaffee et al, 2017;Klein et al, 2016;Lemus-Rojas, n.d.;Pfundner et al, 2015;Putman et al, 2017;Rutz et al, 2021;Scharpf et al, 2021a, b;Turki et al, 2019Turki et al, , 2022a.…”

TWikiL – the Twitter Wikipedia Link Dataset

“…via the Twitter API, for further analysis. Both versions of the dataset are accessible and can be downloaded via Zenodo (Meier 2022).…”