On Readability Evaluation of News Texts from Russian Multimodal University Websites

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3A6ABAQP4Q" target="_blank" >RIV/00216208:11320/26:6ABAQP4Q - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210588014&doi=10.1007%2F978-3-031-67762-5_11&partnerID=40&md5=91b43289555ae3208c5499e20726592a" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210588014&doi=10.1007%2F978-3-031-67762-5_11&partnerID=40&md5=91b43289555ae3208c5499e20726592a</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-67762-5_11" target="_blank" >10.1007/978-3-031-67762-5_11</a>

Result language

angličtina

Original language name

On Readability Evaluation of News Texts from Russian Multimodal University Websites

Original language description

Multimodal university websites have drawn researchers’ attention since their appearance at the turn of the century. This chapter reviews the foci of salient studies on university websites, noting that very few of them deal with the readability of materials on university websites. Those few researchers who conducted readability evaluation of university websites used freely available software based on classic readability indices. None of them evaluated the readability of Russian university websites. To bridge this gap, we started a project aimed at evaluating the readability of leading Russian university websites. In the first stage of the project, a corpus of 1000+ texts was built by parsing the selected university websites. The readability of the texts was evaluated both automatically with Python script based on readability indices and by 132 human assessors who evaluated a representative sample of 340 texts of the corpus according to three groups (linguistic, structural and logical, and appealing) of 10 criteria completing the questionnaire. The correlation analysis showed a negative correlation between the automatic and respondents’ estimates for easier and more difficult texts. This chapter proposes a possible explanation for this divergence and outlines further research. The most logical explanation capitalizes on the fact that readability is a function of two groups of mega-parameters: objective parameters of text comprising quantitative and qualitative characteristics and individual characteristics of the reader. Probably, readability indices do not take into account the contributions of text’s qualitative characteristics and readers’ characteristics in full. © 2024 Elsevier B.V., All rights reserved.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Springer Geography

ISSN

2194315X

e-ISSN

21943168

Volume of the periodical

Part F3643

Issue of the periodical within the volume

2024

Country of publishing house

US - UNITED STATES

Number of pages

11

Pages from-to

137 - 147

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85210588014