A sweet face man: using Chernoff faces to portray social media wine brand images

Author:

Farshid Mana,Chan Anthony,Nel Deon

Abstract

PurposeThe rise of social media and its resultant impact on brand management has become a critical factor in guarding the reputation of the firm. Consumer‐generated content has the potential to spread rapidly over social networks and the implications are that advertising as traditionally used by brand managers, now offers little control over the communication message. Brand managers need a better tool to gauge the changing mood in social media conversations. The purpose of this paper is to suggest a powerful method, Chernoff Faces, to compare six Sauternes wine brands based on social conversation measurement.Design/methodology/approachThis study describes a source of data relating to wine brand visibility in social media, and then presents a simple yet powerful graphical tool for portraying this information. This tool facilitates the communication, understanding, and assimilation of the relevant information.FindingsThe findings of this paper are presented in six social media wine faces. Facial features are allocated to eyes, facial line, hair density and others to reflect “Social Mention” data measuring brand strength, positive and negative sentiment and related elements such passion for the brand. A brief subjective interpretation of the differences between the wine brands offers a match between Chernoff faces representation and historical data on the brands being compared.Research limitations/implicationsThe paper has some limitations related to the dynamic nature of social media. This study provides more of a snapshot in time rather than an ultimate set of results. Future research could be done by closely monitoring the results for a set of brands over a period. A new option to overcome this by using longitudinal data is offered as a option in future research.Originality/valueSince social media are multi‐dimensional and attempts to understand conversations it requires tracking different measures simultaneously. It is important to find the best way to portray and communicate this data so that wine marketing decision makers can quickly and easily compare changes in brand images. Using faces to accomplish this is an easy and novel way compared to more demanding multidimensional scaling techniques.

Publisher

Emerald

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference41 articles.

1. Anderson, E. (1969), “A semigraphical method for the analysis of complex problems”, Technometrics, Vol. 2 No. 3, pp. 387‐91.

2. Barros, S. (2009), “Know your numbers: 10 free web analytics tools for your website”, March 2010, available at: www.pennolson.com/2009/09/13/know‐your‐numbers‐10‐free‐web‐analyticstools‐for‐your‐website/.

3. Beniger, J.R. and Robyn, D.L. (1978), “Quantitative graphics in statistics: a brief history”, The American Statistician, Vol. 32, February, pp. 1‐10.

4. Berelson, B. (1952), Content Analysis in Communications Research, The Free Press, New York, NY.

5. Blackshaw, P. and Nazzaro, M. (2004), “Consumer‐Generated Media (CGM) 101: word‐of mouth in the age of the web fortified consumer”, available at: www.nielsenbuzzmetrics.com/whitepapers (accessed 25 July 2008).

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3