Using Social Media Data to Analyse Issue Engagement During the 2017 German Federal Election
Article
Meier, Florian, Bazo, Alexander and Elsweiler, David (2022) Using Social Media Data to Analyse Issue Engagement During the 2017 German Federal Election. ACM Transactions on Internet Technology 22 (1), pp. 1-25.Alternative links to fulltext
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| Item type | Article | ||||
| Journal or Publication Title | ACM Transactions on Internet Technology | ||||
| Publisher | ASSOC COMPUTING MACHINERY | ||||
| Place of Publication | NEW YORK | ||||
| Volume | 22 | ||||
| Number of Issue or Book Chapter | 1 | ||||
| Page Range | pp. 1-25 | ||||
| Date | 2022 | ||||
| Date of publication | 29 Feb 2024 12:52 | ||||
| Institutions | Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Informationswissenschaft (Prof. Dr. Udo Kruschwitz) Informatics and Data Science > Department Human-Centered Computing > Lehrstuhl für Informationswissenschaft (Prof. Dr. Udo Kruschwitz) | ||||
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| Keywords | POLITICAL COMMUNICATION; CAMPAIGNS; CONVERGENCE; CANDIDATES; OWNERSHIP; TWITTER; COMPETITION; AVOIDANCE; MESSAGES; FACEBOOK; Computational social science; eDemocracy; issue engagement; twitter; political communication | ||||
| Dewey Decimal Classification | 000 Computer science, information & general works > 000 Generalities, Science 000 Computer science, information & general works > 020 Library & information sciences | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| Item ID | 57243 |
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