{"id":10958,"date":"2021-05-23T23:26:53","date_gmt":"2021-05-24T03:26:53","guid":{"rendered":"https:\/\/www.servsig.org\/wordpress\/?p=10958"},"modified":"2021-05-23T23:26:54","modified_gmt":"2021-05-24T03:26:54","slug":"new-ai-tool-uses-twitter-to-measure-brand-reputation","status":"publish","type":"post","link":"https:\/\/www.servsig.org\/wordpress\/2021\/05\/new-ai-tool-uses-twitter-to-measure-brand-reputation\/","title":{"rendered":"New AI Tool Uses Twitter to Measure Brand Reputation"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"414\" src=\"https:\/\/www.servsig.org\/wordpress\/wp-content\/uploads\/2021\/05\/brand-reputation-tracking-1-1024x414.jpg\" alt=\"\" class=\"wp-image-10959\"\/><\/figure>\n\n\n\n<p><em>by Roland Rust<\/em><\/p>\n\n\n\n<p><strong>Brand Reputation Rise and Fall. Mangers can watch it in real-time now.<\/strong><\/p>\n\n\n\n<p>Many brands have their ups and downs. What happens to a company\u2019s brand reputation when its CEO makes a controversial political statement, for example? The best way to find out quickly is to see what people are saying about it on social media. New research from Maryland Smith\u2019s&nbsp;<strong><a href=\"https:\/\/www.rhsmith.umd.edu\/directory\/roland-rust\" target=\"_blank\" rel=\"noreferrer noopener\">Roland Rust<\/a>&nbsp;<\/strong>uses an artificial intelligence-based text analysis tool to track how a brand\u2019s reputation rises or falls, moment by moment, on brand-related events.<\/p>\n\n\n\n<p>For the&nbsp;<a href=\"https:\/\/journals.sagepub.com\/doi\/abs\/10.1177\/0022242921995173\" target=\"_blank\" rel=\"noreferrer noopener\">Journal of Marketing study<\/a>, Rust, Distinguished University Professor and David Bruce Smith Chair in Marketing, worked with co-authors William Rand of North Carolina State University; Ming-Hui Huang of National Taiwan University; Andrew Stephen of the University of Oxford; Gillian Brooks of King\u2019s College London; and Timur Chabuk, vice president of machine learning and advanced analytics at Perceptronics Solutions Inc.<\/p>\n\n\n\n<p>All companies should be concerned with how consumers see them, say the researchers, and to get a read on what people think at any given time, social media provides a much better alternative to impractical and expensive consumer surveys.<\/p>\n\n\n\n<p>The research team demonstrates how using AI-based text analysis of social media \u2013 in this case, Twitter \u2013 can monitor how much a brand\u2019s reputation rises or falls over time. They merge the social media monitoring with Rust\u2019s previous research (with co-authors Katherine Lemon and Valarie Zeithaml) on customer equity drivers to pinpoint exactly which dimensions of brand reputation are changing.<\/p>\n\n\n\n<p>\u201cIt is one thing to know that brand reputation is improving or declining, but another thing entirely to figure out why,\u201d write the researchers on the American Marketing Association\u2019s website.<\/p>\n\n\n\n<p>In the research, Rust and his co-authors develop the Brand Reputation Tracker, which implements Rust\u2019s value-brand-relationship framework. The researchers used the tracker to mine social media text on Twitter.<\/p>\n\n\n\n<p>The tracker uses 11 different criteria to measure things consumers say they care about, including a brand\u2019s \u201ccoolness,\u201d \u201cgoods quality,\u201d \u201csocial responsibility,\u201d and \u201ctrustworthiness.\u201d Then it takes tweets and sorts them into three scores for a brand: one based on whether stakeholders think a brand is a good value; one that assesses how closely stakeholders identify with the brand; and a third, called the brand driver score, that accounts for everything else, such as style and popularity.<\/p>\n\n\n\n<p>With their new tool, the researchers looked at 100 popular brands. They measured and compared brands\u2019 reputations with each other. The tracker allowed them to identify changes in individual brand\u2019s reputations in real time, as Tweets were updated constantly. They were able to track a particular brand\u2019s trend data over time and compare its reputation assessment with how well that brand\u2019s publicly traded stock fared. Changes in value, relationship and brand driver scores were reflected in each brand\u2019s stock valuation.<\/p>\n\n\n\n<p>Rust and his co-authors say companies could use the Brand Reputation Tracker to keep tabs on their reputation on social media or look at competitor brands within specific industries. Managers could use that information to drive ways to boost their standing with consumers, ultimately delivering more revenue and profits, say the researchers.<\/p>\n\n\n\n<p><em>The research, \u201c<a href=\"https:\/\/journals.sagepub.com\/doi\/abs\/10.1177\/0022242921995173\" target=\"_blank\" rel=\"noreferrer noopener\">Real-Time Brand Reputation Tracking Using Social Media<\/a>,\u201d is currently available online, and will appear in the July issue of the Journal of Marketing.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>by Roland Rust Brand Reputation Rise and Fall. Mangers can watch it in real-time now. Many brands have their ups and downs. What happens to a company\u2019s brand reputation when its CEO makes a controversial political statement, for example? The best way to find out quickly is to see what people are saying about it [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":10959,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"_links":{"self":[{"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/posts\/10958"}],"collection":[{"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/comments?post=10958"}],"version-history":[{"count":1,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/posts\/10958\/revisions"}],"predecessor-version":[{"id":10960,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/posts\/10958\/revisions\/10960"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/media\/10959"}],"wp:attachment":[{"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/media?parent=10958"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/categories?post=10958"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/tags?post=10958"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}