TY  - JOUR
A1  - Mehler, Alexander
A1  - Hemati, Wahed
A1  - Welke, Pascal
A1  - Konca, Maxim
A1  - Uslu, Tolga
T1  - Multiple texts as a limiting factor in online learning: quantifying (dis-)similarities of knowledge networks
T2  - Frontiers in education
N2  - We test the hypothesis that the extent to which one obtains information on a given topic through Wikipedia depends on the language in which it is consulted. Controlling the size factor, we investigate this hypothesis for a number of 25 subject areas. Since Wikipedia is a central part of the web-based information landscape, this indicates a language-related, linguistic bias. The article therefore deals with the question of whether Wikipedia exhibits this kind of linguistic relativity or not. From the perspective of educational science, the article develops a computational model of the information landscape from which multiple texts are drawn as typical input of web-based reading. For this purpose, it develops a hybrid model of intra- and intertextual similarity of different parts of the information landscape and tests this model on the example of 35 languages and corresponding Wikipedias. In the way it measures the similarities of hypertexts, the article goes beyond existing approaches by examining their structural and semantic aspects intra- and intertextually. In this way it builds a bridge between reading research, educational science, Wikipedia research and computational linguistics.
KW  - multiple texts
KW  - information landscape
KW  - knowledge graphs
KW  - intratextual similarity
KW  - intertextual similarity
KW  - three-level topic model
KW  - network similarity measurement
KW  - linguistic relativity
Y1  - 2020
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/56491
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-564911
SN  - 2504-284X
VL  - 5
IS  - Article 562670
PB  - Frontiers Media
CY  - Lausanne
ER  -