On Readability Evaluation of News Texts from Russian Multimodal University Websites

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

On Readability Evaluation of News Texts from Russian Multimodal University Websites

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

On Readability Evaluation of News Texts from Russian Multimodal University Websites

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

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OECD FORD obor

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

Projekt

—

Návaznosti

—

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

Springer Geography

ISSN

2194315X

e-ISSN

21943168

Svazek periodika

Part F3643

Číslo periodika v rámci svazku

2024

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

137 - 147

Kód UT WoS článku

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EID výsledku v databázi Scopus

2-s2.0-85210588014