DomainDemo: a dataset of domain-sharing activities among different demographic groups on Twitter
Abstract Social media play a pivotal role in disseminating web content, particularly during elections, yet our understanding of the association between demographic factors and information sharing online remains limited. Here, we introduce a unique dataset, DomainDemo, linking domains shared on Twitt...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05604-6 |
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| author | Kai-Cheng Yang Pranav Goel Alexi Quintana-Mathé Luke Horgan Stefan D. McCabe Nir Grinberg Kenneth Joseph David Lazer |
| author_facet | Kai-Cheng Yang Pranav Goel Alexi Quintana-Mathé Luke Horgan Stefan D. McCabe Nir Grinberg Kenneth Joseph David Lazer |
| author_sort | Kai-Cheng Yang |
| collection | DOAJ |
| description | Abstract Social media play a pivotal role in disseminating web content, particularly during elections, yet our understanding of the association between demographic factors and information sharing online remains limited. Here, we introduce a unique dataset, DomainDemo, linking domains shared on Twitter (X) with the demographic characteristics of associated users, including age, gender, race, political affiliation, and geolocation, from 2011 to 2022. This new resource was derived from a panel of over 1.5 million Twitter users matched against their U.S. voter registration records, facilitating a better understanding of a decade of information flows on one of the most prominent social media platforms and trends in political and public discourse among registered U.S. voters from different sociodemographic groups. By aggregating user demographic information onto the domains, we derive five metrics that provide critical insights into over 129,000 websites. In particular, the localness and partisan audience metrics quantify the domains’ geographical reach and ideological orientation, respectively. These metrics show substantial agreement with existing classifications, suggesting the effectiveness and reliability of DomainDemo’s approach. |
| format | Article |
| id | doaj-art-8402cfad45b24e7d904451ae0a973aab |
| institution | DOAJ |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-8402cfad45b24e7d904451ae0a973aab2025-08-20T03:04:17ZengNature PortfolioScientific Data2052-44632025-07-0112111310.1038/s41597-025-05604-6DomainDemo: a dataset of domain-sharing activities among different demographic groups on TwitterKai-Cheng Yang0Pranav Goel1Alexi Quintana-Mathé2Luke Horgan3Stefan D. McCabe4Nir Grinberg5Kenneth Joseph6David Lazer7Network Science Institute, Northeastern UniversityNetwork Science Institute, Northeastern UniversityNetwork Science Institute, Northeastern UniversityNetwork Science Institute, Northeastern UniversityNetwork Science Institute, Northeastern UniversityDepartment of Software and Information Systems Engineering, Ben-Gurion University of the NegevComputer Science and Engineering Department, University at BuffaloNetwork Science Institute, Northeastern UniversityAbstract Social media play a pivotal role in disseminating web content, particularly during elections, yet our understanding of the association between demographic factors and information sharing online remains limited. Here, we introduce a unique dataset, DomainDemo, linking domains shared on Twitter (X) with the demographic characteristics of associated users, including age, gender, race, political affiliation, and geolocation, from 2011 to 2022. This new resource was derived from a panel of over 1.5 million Twitter users matched against their U.S. voter registration records, facilitating a better understanding of a decade of information flows on one of the most prominent social media platforms and trends in political and public discourse among registered U.S. voters from different sociodemographic groups. By aggregating user demographic information onto the domains, we derive five metrics that provide critical insights into over 129,000 websites. In particular, the localness and partisan audience metrics quantify the domains’ geographical reach and ideological orientation, respectively. These metrics show substantial agreement with existing classifications, suggesting the effectiveness and reliability of DomainDemo’s approach.https://doi.org/10.1038/s41597-025-05604-6 |
| spellingShingle | Kai-Cheng Yang Pranav Goel Alexi Quintana-Mathé Luke Horgan Stefan D. McCabe Nir Grinberg Kenneth Joseph David Lazer DomainDemo: a dataset of domain-sharing activities among different demographic groups on Twitter Scientific Data |
| title | DomainDemo: a dataset of domain-sharing activities among different demographic groups on Twitter |
| title_full | DomainDemo: a dataset of domain-sharing activities among different demographic groups on Twitter |
| title_fullStr | DomainDemo: a dataset of domain-sharing activities among different demographic groups on Twitter |
| title_full_unstemmed | DomainDemo: a dataset of domain-sharing activities among different demographic groups on Twitter |
| title_short | DomainDemo: a dataset of domain-sharing activities among different demographic groups on Twitter |
| title_sort | domaindemo a dataset of domain sharing activities among different demographic groups on twitter |
| url | https://doi.org/10.1038/s41597-025-05604-6 |
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