Responding Effectively to Customer Feedback on Twitter
A Mixed Methods Study of Webcare Styles
Dados Bibliográficos
| ID | 22872008 |
|---|---|
| Autores | Matteo Fuoli (0000-0003-3544-1095, University of Birmingham, autor correspondente), Isobelle Clarke (0000-0001-5541-6327, Lancaster University), Viola Wiegand (0000-0001-6746-6620, University of Birmingham), Hendrik Ziezold (TomTom International), Hendrik S Ziezold (TomTom (Netherlands)), Michaela Mahlberg (0000-0002-4598-8011, University of Birmingham) |
| Ano | 2021 |
| Volume | 42 |
| Fascículo | 3 |
| Páginas | 569-595 |
| Data de publicação | 2021-06-14 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Applied Linguistics (JOURNAL) |
| Identificadores do periódico | ISSN: 0142-6001 • E-ISSN: 1477-450X |
| Editora | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/applin/amaa046 |
| OpenAlex | W3096726532 |
| Idioma | EN |
| Citações recebidas | 11 |
| Referências citadas | 54 |
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.
Advertising · Business · Formality · Linguistics · Political science · Public relations · Sample (material) · Social media · Style (visual arts) · Word of mouth · World Wide Web · Computer Science · Digital Communication and Language · Digital Marketing and Social Media · Marketing · Psychology · Public Relations and Crisis Communication
Communicating safety
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Emotional labor in webcare and beyond
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Discourse of Twitter and Social Media
Variation across Speech and Writing
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Prolific.ac—A subject pool for online experiments
Running experiments on Amazon Mechanical Turk
Statistical mediation analysis with a multicategorical independent variable
Conversational Voice, Communicated Commitment, and Public Relations Outcomes in Interactive Online Communication
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Silent Orality”
The Pear Stories
Beyond the Turk
Politeness
Saying 'sorry
A model of trust-repair discourse
Giving offense and making amends
Spoken and Written Textual Dimensions in English
Language style as audience design
Cutting through Content Clutter
Crowdsourcing Consumer Research
| Obras citantes distintas | 11 |
|---|---|
| Citações por ano | 2,2 |
| Intervalo de citações | 2021 - 2026 (6) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 10 |