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Journal IssueDOI

Twitter power: Tweets as electronic word of mouth

TLDR
It is found that microblogting is an online tool for customer word of mouth communications and the implications for corporations using microblogging as part of their overall marketing strategy are discussed.
Abstract
In this paper we report research results investigating microblogging as a form of electronic word-of-mouth for sharing consumer opinions concerning brands. We analyzed more than 150,000 microblog postings containing branding comments, sentiments, and opinions. We investigated the overall structure of these microblog postings, the types of expressions, and the movement in positive or negative sentiment. We compared automated methods of classifying sentiment in these microblogs with manual coding. Using a case study approach, we analyzed the range, frequency, timing, and content of tweets in a corporate account. Our research findings show that 19p of microblogs contain mention of a brand. Of the branding microblogs, nearly 20p contained some expression of brand sentiments. Of these, more than 50p were positive and 33p were critical of the company or product. Our comparison of automated and manual coding showed no significant differences between the two approaches. In analyzing microblogs for structure and composition, the linguistic structure of tweets approximate the linguistic patterns of natural language expressions. We find that microblogging is an online tool for customer word of mouth communications and discuss the implications for corporations using microblogging as part of their overall marketing strategy. © 2009 Wiley Periodicals, Inc.

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Book ChapterDOI

An Assessment of Contagion on Social Networking Sites

TL;DR: The more competitive the consumers are, the less they tend to follow others’ recommendation, the more they consume products and services to establish or maintain their status in the social network.
Proceedings ArticleDOI

ELiRF: A SVM Approach for SA tasks in Twitter at SemEval-2015

TL;DR: This paper describes the participation at tasks 10 (sub-task B, Message Polarity Classification) and 11 (Sentiment Analysis of Figurative Language in Twitter) of Semeval2015 and the Support Vector Machine system used in this competition.
Proceedings ArticleDOI

DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter

TL;DR: This work presents a supervised sentiment classification system which competed in SemEval2015 Task 10B: Sentiment Classification in Twitter— Message Polarity Classification, which employs a Support Vector Machine classifier trained using a number of features including n-grams, dependency parses, synset expansions, word prior polarities, and embedding clusters.
Journal ArticleDOI

Building Marketing Relationships on Twitter: A Content Analysis of University Twitter Accounts

TL;DR: The authors conclude that top-ranked universities are more likely to engage primarily in reactive relationship building, which can be characterized as the broadcast of an original message with opportunities for followers to initiate post-communication interaction.
References
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Book

Discovery of Grounded Theory: Strategies for Qualitative Research

TL;DR: The Discovery of Grounded Theory as mentioned in this paper is a book about the discovery of grounded theories from data, both substantive and formal, which is a major task confronting sociologists and is understandable to both experts and laymen.
Journal ArticleDOI

Qualitative Evaluation And Research Methods

TL;DR: The Nature of Qualitative Inquiry Theoretical Orientations Particularly Appropriate Qualitative Applications as mentioned in this paper, and Qualitative Interviewing: Qualitative Analysis and Interpretation Enhancing the quality and credibility of qualitative analysis and interpretation.
Journal Article

Qualitative evaluation and research methods

TL;DR: The Nature of Qualitative Inquiry Theoretical Orientations Particularly Appropriate Qualitative Applications as mentioned in this paper, and Qualitative Interviewing: Qualitative Analysis and Interpretation Enhancing the quality and credibility of qualitative analysis and interpretation.
Journal ArticleDOI

Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet?

TL;DR: In this article, a typology for motives of consumer online articulation is proposed, drawing on findings from research on virtual communities and traditional word-of-mouth literature, which is based on the same authors' work.
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