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Niemeyer, Clemens ; Schönfeld, Mirco:
Reputation Through Observation : Active Lurkers in an Online Community.
In: Archives of Data Science Series A.
Bd. 5
(2018)
Heft 1
.
ISSN 2363-9881
DOI: https://doi.org/10.5445/KSP/1000087327/32
Abstract
Lurkers are the invisibile majority in a typical online community: users that silently observe, consume, and become accustomed to a community without interacting actively. At some point in time, a small fraction of lurkers decides to start taking part in a community in some way. In this paper, we investigate the implications of lurking for the interactions of such newly-active users or active lurkers. In our analysis, we focus on a sub-community of the well-known Online Social Network (OSN) Reddit and track linguistic development of users' comments as well as the development of user's reputation. We analyze and compare the complete lifecycles of two types of users — active lurkers and non-lurkers. Our work gives new insights into the effects of lurking with respect to linguistic adaption of community habits and to reputation active lurkers are able to gain. In general, most influential and innovative contributions were submitted by former lurkers.
Weitere Angaben
| Publikationsform: | Artikel in einer Zeitschrift |
|---|---|
| Begutachteter Beitrag: | Ja |
| Institutionen der Universität: | Fakultäten > Sprach- und Literaturwissenschaftliche Fakultät Fakultäten > Sprach- und Literaturwissenschaftliche Fakultät > Juniorprofessur Datenmodellierung und interdisziplinäre Wissensgenerierung Fakultäten > Sprach- und Literaturwissenschaftliche Fakultät > Juniorprofessur Datenmodellierung und interdisziplinäre Wissensgenerierung > Juniorprofessur Datenmodellierung und interdisziplinäre Wissensgenerierung - Juniorprof. Dr. Mirco Schönfeld Fakultäten |
| Titel an der UBT entstanden: | Nein |
| Themengebiete aus DDC: | 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik |
| Eingestellt am: | 18 Nov 2021 08:47 |
| Letzte Änderung: | 07 Nov 2023 13:58 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/67880 |