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Responding Effectively to Customer Feedback on Twitter: A Mixed Methods Study of Webcare Styles

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Responding Effectively to Customer Feedback on Twitter: A Mixed Methods Study of Webcare Styles. / Fuoli, Matteo; Clarke, Isobelle; Wiegand, Viola et al.
In: Applied Linguistics, Vol. 42, No. 3, 30.06.2021, p. 569-595.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Fuoli, M, Clarke, I, Wiegand, V, Ziezold, H & Mahlberg, M 2021, 'Responding Effectively to Customer Feedback on Twitter: A Mixed Methods Study of Webcare Styles', Applied Linguistics, vol. 42, no. 3, pp. 569-595. https://doi.org/10.1093/applin/amaa046

APA

Fuoli, M., Clarke, I., Wiegand, V., Ziezold, H., & Mahlberg, M. (2021). Responding Effectively to Customer Feedback on Twitter: A Mixed Methods Study of Webcare Styles. Applied Linguistics, 42(3), 569-595. https://doi.org/10.1093/applin/amaa046

Vancouver

Fuoli M, Clarke I, Wiegand V, Ziezold H, Mahlberg M. Responding Effectively to Customer Feedback on Twitter: A Mixed Methods Study of Webcare Styles. Applied Linguistics. 2021 Jun 30;42(3):569-595. Epub 2020 Nov 4. doi: 10.1093/applin/amaa046

Author

Fuoli, Matteo ; Clarke, Isobelle ; Wiegand, Viola et al. / Responding Effectively to Customer Feedback on Twitter : A Mixed Methods Study of Webcare Styles. In: Applied Linguistics. 2021 ; Vol. 42, No. 3. pp. 569-595.

Bibtex

@article{98931b16e3bd4c10bcab3933343d87ab,
title = "Responding Effectively to Customer Feedback on Twitter: A Mixed Methods Study of Webcare Styles",
abstract = "Social media offer an unprecedented opportunity for companies to interact more closely with customers and market their products and services. But social media also present reputational risks as negative word-of-mouth can spread more quickly and widely through these platforms than ever before. This study investigates how companies respond to customer complaints on Twitter. We propose an innovative mixed methods approach (i) to identify the key features that mark the styles used by a sample of companies in their replies to customers and (ii) to determine the most effective strategies for responding to complaints. Our results reveal that an affective style, expressed through devices such as stance markers, emphatics, and amplifiers, elicits the most positive response from complainants, regardless of the formality of the message. The study advances our understanding of the features and effects of corporate social media discourse. It also provides business communication practitioners with linguistically grounded insights that can inform the development of appropriate strategies for dealing with negative word-of-mouth online.",
keywords = "Corpus Linguistics, Multi-Dimensional Analysis, Multiple Correspondence Analysis, Social Media, Webcare",
author = "Matteo Fuoli and Isobelle Clarke and Viola Wiegand and Hendrik Ziezold and Michaela Mahlberg",
year = "2021",
month = jun,
day = "30",
doi = "10.1093/applin/amaa046",
language = "English",
volume = "42",
pages = "569--595",
journal = "Applied Linguistics",
issn = "0142-6001",
publisher = "Oxford University Press",
number = "3",

}

RIS

TY - JOUR

T1 - Responding Effectively to Customer Feedback on Twitter

T2 - A Mixed Methods Study of Webcare Styles

AU - Fuoli, Matteo

AU - Clarke, Isobelle

AU - Wiegand, Viola

AU - Ziezold, Hendrik

AU - Mahlberg, Michaela

PY - 2021/6/30

Y1 - 2021/6/30

N2 - Social media offer an unprecedented opportunity for companies to interact more closely with customers and market their products and services. But social media also present reputational risks as negative word-of-mouth can spread more quickly and widely through these platforms than ever before. This study investigates how companies respond to customer complaints on Twitter. We propose an innovative mixed methods approach (i) to identify the key features that mark the styles used by a sample of companies in their replies to customers and (ii) to determine the most effective strategies for responding to complaints. Our results reveal that an affective style, expressed through devices such as stance markers, emphatics, and amplifiers, elicits the most positive response from complainants, regardless of the formality of the message. The study advances our understanding of the features and effects of corporate social media discourse. It also provides business communication practitioners with linguistically grounded insights that can inform the development of appropriate strategies for dealing with negative word-of-mouth online.

AB - Social media offer an unprecedented opportunity for companies to interact more closely with customers and market their products and services. But social media also present reputational risks as negative word-of-mouth can spread more quickly and widely through these platforms than ever before. This study investigates how companies respond to customer complaints on Twitter. We propose an innovative mixed methods approach (i) to identify the key features that mark the styles used by a sample of companies in their replies to customers and (ii) to determine the most effective strategies for responding to complaints. Our results reveal that an affective style, expressed through devices such as stance markers, emphatics, and amplifiers, elicits the most positive response from complainants, regardless of the formality of the message. The study advances our understanding of the features and effects of corporate social media discourse. It also provides business communication practitioners with linguistically grounded insights that can inform the development of appropriate strategies for dealing with negative word-of-mouth online.

KW - Corpus Linguistics

KW - Multi-Dimensional Analysis

KW - Multiple Correspondence Analysis

KW - Social Media

KW - Webcare

U2 - 10.1093/applin/amaa046

DO - 10.1093/applin/amaa046

M3 - Journal article

VL - 42

SP - 569

EP - 595

JO - Applied Linguistics

JF - Applied Linguistics

SN - 0142-6001

IS - 3

ER -