2018
DOI: 10.1075/aila.00014.whi
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The language of numbers

Abstract: Wider parts of society-at-large are not fluent in the language of numbers, and financial literacy in particular is low in many countries (OECD, 2014). This paper shows how research on financial communication with and for practitioners (Cameron, Frazer, Rampton, & Richardson, 1992, p. 22) can foster intra-lingual translation in the financial sector, which increases financial texts’ communicative potential and finally enables laypersons to better understand the language of numbers. Such an increased understa… Show more

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Cited by 4 publications
(2 citation statements)
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“…2017 . Two well-received international panels were organized: The Language of Numbers at the 18th World Congress of Applied Linguistics AILA in Rio de Janeiro, Brazil (Whitehouse, Perrin, & Palmieri, 2017), and Financial Literacy—A Key to the Real World at the 15th International Pragmatic Conference in Belfast, Ireland (Whitehouse, Kovarova, & Wanzenried, 2017). They reflect the growing momentum in financial communication research and the emergence of new subject areas.…”
Section: Spreading the Wordmentioning
confidence: 99%
“…2017 . Two well-received international panels were organized: The Language of Numbers at the 18th World Congress of Applied Linguistics AILA in Rio de Janeiro, Brazil (Whitehouse, Perrin, & Palmieri, 2017), and Financial Literacy—A Key to the Real World at the 15th International Pragmatic Conference in Belfast, Ireland (Whitehouse, Kovarova, & Wanzenried, 2017). They reflect the growing momentum in financial communication research and the emergence of new subject areas.…”
Section: Spreading the Wordmentioning
confidence: 99%
“…In other words, the Ins are related to practical and ethical obstacles to gain access to authentic data and the Outs relate to what practitioners could gain through collaborations. Recently, the term transdisciplinarity has drawn attention and has advanced the existing concepts of collaboration into the goal of transcending the boundaries within academia and across academia and industries, through cocreating research questions, collecting and interpreting data together, and copublishing outcomes (e.g., Perrin, 2018; Whitehouse, 2018).…”
Section: Introductionmentioning
confidence: 99%