%0 Journal Article %1 jansen2009twitter %A Jansen, Bernard J. %A Zhang, Mimi %A Sobel, Kate %A Chowdury, Abdur %C New York, NY, USA %D 2009 %I John Wiley & Sons, Inc. %J J. Am. Soc. Inf. Sci. Technol. %K marketing twitter %N 11 %P 2169--2188 %R 10.1002/asi.v60:11 %T Twitter power: Tweets as electronic word of mouth %U http://dx.doi.org/10.1002/asi.v60:11 %V 60 %X 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 19% of microblogs contain mention of a brand. Of the branding microblogs, nearly 20% contained some expression of brand sentiments. Of these, more than 50% were positive and 33% 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.

@article{jansen2009twitter, 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 19% of microblogs contain mention of a brand. Of the branding microblogs, nearly 20% contained some expression of brand sentiments. Of these, more than 50% were positive and 33% 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.}, acmid = {1656297}, added-at = {2013-07-07T14:49:14.000+0200}, address = {New York, NY, USA}, author = {Jansen, Bernard J. and Zhang, Mimi and Sobel, Kate and Chowdury, Abdur}, biburl = {https://www.bibsonomy.org/bibtex/2a1d912bd9d688f1a14170c6cf46202ba/nosebrain}, doi = {10.1002/asi.v60:11}, interhash = {21fb6502ec3659e855dc4666b9029584}, intrahash = {a1d912bd9d688f1a14170c6cf46202ba}, issn = {1532-2882}, issue_date = {November 2009}, journal = {J. Am. Soc. Inf. Sci. Technol.}, keywords = {marketing twitter}, month = nov, number = 11, numpages = {20}, pages = {2169--2188}, publisher = {John Wiley \& Sons, Inc.}, timestamp = {2013-07-07T14:53:59.000+0200}, title = {Twitter power: Tweets as electronic word of mouth}, url = {http://dx.doi.org/10.1002/asi.v60:11}, volume = 60, year = 2009 }