2019
DOI: 10.1177/1050651919892312
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Is Bad News Difficult to Read? A Readability Analysis of Differently Connoted Passages in the Annual Reports of the 30 DAX Companies

Abstract: This study examines the strategic use of readability to obfuscate negative news in a German financial communication context. Combining a manual and an automated content analysis, the authors assess the tone and readability of three parts (chairman’s address, share-price development, and development in the fiscal year) of the 2014 annual reports of the 30 companies listed in the German stock index DAX. The results indicate that positively connoted passages in annual reports are not necessarily easier to read th… Show more

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Cited by 12 publications
(13 citation statements)
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“…Greenwashing can also be recognized by the language used, as it tends to employ overly optimistic language focused on positives only. Thus, greenwashing literature has parallels with research on selective disclosure where positive information is exaggerated and negative information is downplayed (Jahdi & Acikdilli, 2009; Laskin, 2018b; Porter & Kramer, 2006; Thoms et al, 2020). However, in previous research, such selective disclosure has usually been studied based on the content rather than based on the language used.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Greenwashing can also be recognized by the language used, as it tends to employ overly optimistic language focused on positives only. Thus, greenwashing literature has parallels with research on selective disclosure where positive information is exaggerated and negative information is downplayed (Jahdi & Acikdilli, 2009; Laskin, 2018b; Porter & Kramer, 2006; Thoms et al, 2020). However, in previous research, such selective disclosure has usually been studied based on the content rather than based on the language used.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Nevertheless, the formulas convince through their automation capability, simplicity, and independence from the readers (Bayerlein & Davidson, 2011;Bruce et al, 1981;Crossley et al, 2019;Redish, 2000). We believe that for readability studies, the absolute result of one single text is of less interest than the influence of time or other factors on the score of a bigger sample of texts (Thoms et al, 2020). Readability formulas also form the primary tool of readability research of written company disclosures (Adelberg, 1979;Courtis, 2004;Jones, 1988;Li, 2008;Rutherford, 2003;Smith & Taffler, 1992;Subramanian et al, 1993;Thoms et al, 2020).…”
Section: Readabilitymentioning
confidence: 99%
“…We believe that for readability studies, the absolute result of one single text is of less interest than the influence of time or other factors on the score of a bigger sample of texts (Thoms et al, 2020). Readability formulas also form the primary tool of readability research of written company disclosures (Adelberg, 1979;Courtis, 2004;Jones, 1988;Li, 2008;Rutherford, 2003;Smith & Taffler, 1992;Subramanian et al, 1993;Thoms et al, 2020). Alternative procedures for assessing readability include usability tests with representative readers (Redish, 2000), asking readers to assess text where every nth word is deleted 1 (Smith & Taffler, 1992;Taylor, 1953) and other, more modern and multi-dimensional computational linguistics analysis tools such as the Coh-Metrix (Chang & Stone, 2019;Crossley et al, 2019).…”
Section: Readabilitymentioning
confidence: 99%
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