Measuring Brand Favorability Using Large-Scale Social Media Data
Published Online:25 Oct 2021https://doi.org/10.1287/isre.2021.1030
References
- (2018) Text analytics to support sense-making in social media: A language-action perspective. Management Inform. Systems Quart. 42(2):427–464.Crossref, Google Scholar
- (2019) Reducing recommender systems biases: An investigation of rating display designs. Management Inform. Systems Quart. 43(4):1321–1341.Crossref, Google Scholar
- (2018) The impact of user personality traits on word of mouth: Text-mining social media platforms. Inform. Systems Res. 29(3):612–630.Link, Google Scholar
- (2019) Nurturing online communities: An empirical investigation. Management Inform. Systems Quart. 43(2):425–452.Crossref, Google Scholar
- Baumgartner H, Steenkamp J-B (2001) Response styles in marketing research: A cross-national investigation. J. Marketing Res. 38(2):143–156.Google Scholar
- (2011) Twitter mood predicts the stock market. J. Comput. Sci. 2(1):1–8.Crossref, Google Scholar
- (2016) Halo (spillover) effects in social media: Do product recalls of one brand hurt or help rival brands? J. Marketing Res. 53(2):143–160.Crossref, Google Scholar
- (2015) De-biasing the reporting bias in social media analytics. Production Oper. Management. 25(5):849–865.Crossref, Google Scholar
- (2006) The effect of word of mouth on sales: Online book reviews. J. Marketing Res. 43(3):345–354.Crossref, Google Scholar
- (2010) The effects of online user reviews on movie box office performance: Accounting for sequential rollout and aggregation across local markets. Marketing Sci. 29(5):944–957.Link, Google Scholar
- (2008) Learning with compositional semantics as structural inference for subsentential sentiment analysis. Proc. Conf. Empirical Methods Natl. Language Processing. (Association for Computational Linguistics), 793–801.Google Scholar
- (2008) The sound of silence in online feedback: Estimating trading risks in the presence of reporting bias. Management Sci. 54(3):460–476.Link, Google Scholar
- (2019) Social media analytics market expands at +15% CAGR by 201-26 thriving worldwide by top players Salesforce, Oracle Corporation, SAS Institute, Adobe Systems, IBM. Market Report Gazette Online (September 19), https://www.marketreportgazette.com/2019/09/social-media-analytics-market-expands-at-15-cagr-by-2019-26-thriving-worldwide-by-top-players-salesforce-oracle-corporation-sas-institute-adobe-systems-ibm/.Google Scholar
- (2000) Modifications of uncertain data: A Bayesian framework for belief revision. Inform. Systems Res. 11(1):1–16.Link, Google Scholar
- (2011) Sequential and temporal dynamics of online opinion. Marketing Sci. 31(3):448–473.Link, Google Scholar
- Gupta S, Lehmann D, Stuart J (2003) Valuing customers. J. Marketing Res. 41(1):7–18.Google Scholar
- (2017) Disconfirmation effect on online rating behavior: A structural model. Inform. Systems Res. 28(3):626–642.Link, Google Scholar
- (2017) Self-selection biases in online product reviews. Management Inform. Systems Quart. 41(2):449–471.Crossref, Google Scholar
- (2018) How to make the most of your social data. ADWEEK Online (October 26), https://www.adweek.com/digital/how-to-make-the-most-of-your-social-data/.Google Scholar
- (2018) Advertising content and consumer engagement on social media: Evidence from Facebook. Management Sci. 64(11):5105–5131.Link, Google Scholar
- Lehmann D, Farley J (2008) The structure of survey-based brand metrics. J. Int. Marketing 16(4):29–56.Google Scholar
- (2008) Self-selection and information role of online product reviews. Inform. Systems Res. 19(4):456–474.Link, Google Scholar
- (2009) Review sentiment scoring via a parse-and-paraphrase paradigm. Proc. 2009 Conf. Empirical Methods Natl. Language Processing, vol. 1 (Association for Computational Linguistics), 161–169.Google Scholar
- (2020) Go to YouTube and call me in the morning: Use of social media for chronic conditions. Management Inform. Systems Quart. 44(1b):257–283.Crossref, Google Scholar
- (2013) Social media and firm equity value. Inform. Systems Res. 24(1):146–163.Link, Google Scholar
- (2017) Expert blogs and general consumer perceptions of competing brands. Management Inform. Systems Quart. 41(2):371–395.Crossref, Google Scholar
- (2015) The squeaky wheel gets the grease—An empirical analysis of customer voice and firm intervention on Twitter. Marketing Sci. 34(5):627–645.Link, Google Scholar
- (2012) Online product opinions: Incidence, evaluation, and evolution. Marketing Sci. 31(3):372–386.Link, Google Scholar
- (2011) The value of social dynamics in online product ratings forums. J. Marketing Res. 48(3):444–456.Crossref, Google Scholar
- Paulhus DL (1991) Measurement and control of response bias. Robinson JP, Shaver PR, Wrightsman LS, eds. Measures of Personality and Social Psychological Attitudes, (Academic Press, California), 17–59.Google Scholar
- (2020) Enhancing social media analysis with visual data analytics: A deep learning approach. Management Inform. Systems Quart. 44(4):1459–1492.Crossref, Google Scholar
- (2001) Bayesian models for early warning of bank failures. Management Sci. 47(11):1457–1475.Link, Google Scholar
- (2005) Posting versus lurking: Communicating in a multiple audience context. J. Consumer Res. 32(2):260–265.Crossref, Google Scholar
- (2014) Listening in on social media: A joint model of sentiment and venue format choice. J. Marketing Res. 51(4):387–402.Crossref, Google Scholar
- (2019) Report: There’s almost no correlation between online and offline consumer conversations. Marketing Land Online (August 28), https://marketingland.com/report-theres-almost-no-correlation-between-online-and-offline-consumer-conversations-266325.Google Scholar
- (2012) The effects of traditional and social earned media on sales: A study of a microlending marketplace. J. Marketing Res. 49(5):624–639.Crossref, Google Scholar
- (2018) How social listening + voice of the customer data power unbeatable customer experience analytics. NETBASE Online (June 4) https://www.netbase.com/blog/how-social-listening-voice-of-the-customer-data-power-unbeatable-customer-experience-analytics/.Google Scholar
- (2014) Mining marketing meaning from online chatter: Strategic brand analysis of big data using latent dirichlet allocation. J. Marketing Res. 51(4):463–479.Crossref, Google Scholar
- (2013) Intrinsic vs. image-related utility in social media: Why do people contribute content to Twitter? Marketing Sci. 32(3):368–392.Link, Google Scholar
- (2016) GOTCHA! Network-based fraud detection for social security fraud. Management Sci. 63(9):3090–3110.Link, Google Scholar
- (2014) MuSES: Multilingual sentiment elicitation system for social media. IEEE Intelligent Systems 29(4):34–42.Crossref, Google Scholar
- (2019) Understanding user-generated content and customer engagement on Facebook business pages. Inform. Systems Res. 30(3):839–855.Link, Google Scholar
- (2016) Large-scale network analysis for online social brand advertising. Management Inform. Systems Quart. 40(4):849–868.Crossref, Google Scholar
- (2018) Deep learning for sentiment analysis. Survey (London) Preprint submitted January 24, https://arxiv.org/abs/1801.07883.Google Scholar

