The german-speaking twitter community reference data set
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
News providers and politicians increasingly publish and disseminate their content on online social media to reach broader audiences effectively. Directed by ubiquitous mobile use, the majority of individuals reportedly consume daily news directly on these platforms, mainly in an incidental manner. This bears many risks of misconceptions and misinformation: Social media users tend to extend unwarranted trust in posts that are distributed by contacts on the platform and therefore have difficulties evaluating the credibility and trustworthiness of information and its sources. Reduced political proficiency and social understanding have been reported as directed results, as well as the risk of succumbing to partisan echo chambers, user groups amplify and reinforce their own beliefs due to almost exclusive exposition. Measuring and understanding these phenomena requires analysis of the user behavior on these platforms, and a virtually complete data set of one representative community. We focus on Twitter and present collection techniques to obtain a complete data set of specified sub-groups of its users, with the example of the German-tweeting community, in this paper. We show how to collect a representative snapshot of all tweets pertaining to this community over the period of two months. The resulting sample includes 77 million tweets and 6.9 million users. We validate the sample with exhaustive evaluations, and identify the notable impact of political events, such as the 2019 European Parliament election.
Details
Original language | English |
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Title of host publication | IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1172-1177 |
Number of pages | 6 |
ISBN (electronic) | 978-1-7281-8695-5 |
Publication status | Published - Jul 2020 |
Peer-reviewed | Yes |
Conference
Title | 2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 |
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Duration | 6 - 9 July 2020 |
City | Toronto |
Country | Canada |
External IDs
Scopus | 85091513997 |
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Keywords
ASJC Scopus subject areas
Keywords
- Behavior Analysis, Community, OSN, Twitter