Examining the Impact of Television-Program-Induced Emotions on Online Word-of-Mouth Toward Television Advertising

References

• Adomavicius G , Tuzhilin A (2015) Context-Aware Recommender Systems. Recommender Systems Handbook (Springer, New York).Google Scholar
• Aggarwal VA , Hsu DH (2013) Entrepreneurial exits and innovation. Management Sci. 60(4):867–887.Link, Google Scholar
• Agrawal A (2016) The pros and cons of controversial marketing. Accessed, https://www.forbes.com/sites/ajagrawal/2016/01/08/the-pros-and-cons-of-controversial-marketing/#3ecb1fbb3e51/.Google Scholar
• Alwitt LF , Prabhaker PR (1992) Functional and belief dimensions of attitudes to television advertising: Implications for copytesting. J. Advertising. Res. 32(5):30–42.Google Scholar
• Averill JR (1969) Autonomic response patterns during sadness and mirth. Psychophysiology 5(4):399–414.Crossref, Google Scholar
• Babin BJ , Darden WR , Babin LA (1998) Negative emotions in marketing research: Affect or artifact? J. Bus. Res. 42(3):271–285.Crossref, Google Scholar
• Bakhshi S , Kanuparthy P , Gilbert E (2014) Demographics, weather and online reviews: A study of restaurant recommendations. Proc. 23rd Internat. Conf. on World Wide Web (ACM, New York), 443–454. Google Scholar
• Batra R , Stayman DM (1990) The role of mood in advertising effectiveness. J. Consumer Res. 17(2):203–214.Crossref, Google Scholar
• Baumeister RF , Bratslavsky E , Finkenauer C , Vohs KD (2001) Bad is stronger than good. Rev. General Psych. 5(4):323.Crossref, Google Scholar
• Benton A , Hill S (2012) The Spoiler Effect?: Designing social tv content that promotes ongoing WOM. INFORMS Conf. Information Systems and Technology (Citeseer). Google Scholar
• Berger J (2011) Arousal increases social transmission of information. Psych. Sci. 22(7):891–893.Crossref, Google Scholar
• Berger J (2016) Contagious: Why Things Catch On (Simon and Schuster, New York). Google Scholar
• Berger J , Sorensen AT , Rasmussen SJ (2010) Positive effects of negative publicity: When negative reviews increase sales. Marketing Sci. 29(5):815–827.Link, Google Scholar
• Bertrand M , Duflo E , Mullainathan S (2004) How much should we trust differences-in-differences estimates? Quart. J. Econom. 119(1):249–275.Crossref, Google Scholar
• Botha E , Reyneke M (2013) To share or not to share: the role of content and emotion in viral marketing. J. Public Affairs 13(2):160–171.Crossref, Google Scholar
• Brader T (2006) Campaigning for Hearts and Minds: How Emotional Appeals in Political Ads Work (University of Chicago Press, Chicago). Google Scholar
• Bradley MM , Lang PJ (1999) Affective norms for English words (ANEW): Instruction manual and affective ratings. Technical Report C-1, Center for Research in Psychophysiology, University of Florida. 30(1):25–36.Google Scholar
• Broder A , Fontoura M , Josifovski V , Riedel L (2007) A semantic approach to contextual advertising. Proc. 30th Annual Internat. ACM SIGIR Conf. Research Development Inform. Retrieval (ACM, New York), 559–566.Google Scholar
• Cantor JR , Zillmann D , Bryant J (1975) Enhancement of experienced sexual arousal in response to erotic stimuli through misattribution of unrelated residual excitation. J. Personality Soc. Psych. 32(1):69.Crossref, Google Scholar
• Carlson M , Miller N (1987) Explanation of the relation between negative mood and helping. Psych. Bull. 102(1):91.Google Scholar
• Chang Y (2019) Spectators’ emotional responses in tweets during the super bowl 50 game. Sport Management Rev. 22(3):348–362.Crossref, Google Scholar
• Chen Y , Xie J (2008) Online consumer review: Word-of-mouth as a new element of marketing communication mix. Management Sci. 54(3):477–491.Link, Google Scholar
• Chevalier JA , Mayzlin D (2006) The effect of word of mouth on sales: Online book reviews. J. Marketing Res. 43(3):345–354.Crossref, Google Scholar
• Cialdini RB , Kenrick DT , Baumann DJ (1982) Effects of mood on prosocial behavior in children and adults. Development of Prosocial Behavior (Academic Press), 339–359.Google Scholar
• Danaher B , Dhanasobhon S , Smith MD , Telang R (2010) Converting pirates without cannibalizing purchasers: The impact of digital distribution on physical sales and Internet piracy. Marketing Sci. 29(6):1138–1151.Link, Google Scholar
• De Angelis M , Bonezzi A , Peluso AM , Rucker DD , Costabile M (2012) On braggarts and gossips: A self-enhancement account of word-of-mouth generation and transmission. J. Marketing Res. 49(4):551–563.Crossref, Google Scholar
• De Pelsmacker P , Geuens M , Anckaert P (2002) Media context and advertising effectiveness: The role of context appreciation and context/ad similarity. J. Advertising 31(2):49–61.Crossref, Google Scholar
• Dellarocas C , Narayan R (2006) What motivates consumers to review a product online? a study of the product-specific antecedents of online movie reviews. Workshop on Information Systems and Economics (WISE), 1–6.Google Scholar
• Dellarocas C , Zhang X , Awad NF (2007) Exploring the value of online product reviews in forecasting sales: The case of motion pictures. J. Interactive Marketing 21(4):23–45.Crossref, Google Scholar
• Diakopoulos NA , Shamma DA (2010) Characterizing debate performance via aggregated twitter sentiment. Proc. SIGCHI Conf. Human Factors Comput. Systems, (ACM, New York) 1195–1198.Google Scholar
• Ding X , Liu B , Yu PS (2008) A holistic lexicon-based approach to opinion mining. Proc. 2008 Internat. Conf. Web Search Data Mining (ACM New York), 231–240.Google Scholar
• Duan W , Gu B , Whinston AB (2008) Do online reviews matter? An empirical investigation of panel data. Decision Support Systems 45(4):1007–1016.Crossref, Google Scholar
• Edelman B , Ostrovsky M , Schwarz M (2007) Internet advertising and the generalized second-price auction: Selling billions of dollars worth of keywords. Amer. Econom. Rev. 97(1):242–259.Crossref, Google Scholar
• Elder RS , Krishna A (2011) The “visual depiction effect” in advertising: Facilitating embodied mental simulation through product orientation. J. Consumer Res. 38(6):988–1003.Crossref, Google Scholar
• Eroglu SA , Machleit KA , Davis LM (2001) Atmospheric qualities of online retailing: A conceptual model and implications. J. Bus. Res. 54(2):177–184.Crossref, Google Scholar
• Fiedler K , Nickel S , Muehlfriedel T , Unkelbach C (2001) Is mood congruency an effect of genuine memory or response bias? J. Experiment. Soc. Psych. 37(3):201–214.Crossref, Google Scholar
• Fiske AP (2002) Using individualism and collectivism to compare cultures–a critique of the validity and measurement of the constructs: Comment on Oyserman et al. (2002). Psych. Bull. 128(1):78–88.Google Scholar
• Forgas JP , Bower GH (1987) Mood effects on person-perception judgments. J. Personality Soc. Psych. 53(1):53.Crossref, Google Scholar
• Forman C , Ghose A , Goldfarb A (2009) Competition between local and electronic markets: How the benefit of buying online depends on where you live. Management Sci. 55(1):47–57.Link, Google Scholar
• Forman C , Ghose A , Wiesenfeld B (2008) Examining the relationship between reviews and sales: The role of reviewer identity disclosure in electronic markets. Inform. Systems Res. 19(3):291–313.Link, Google Scholar
• Fossen BL , Schweidel DA (2016) Television advertising and online word-of-mouth: An empirical investigation of social TV activity. Marketing Sci. 36(1):105–123.Link, Google Scholar
• Frederick EL , Lim CH , Clavio G , Walsh P (2012) Why we follow: An examination of parasocial interaction and fan motivations for following athlete archetypes on twitter. Internat. J. Sport Community 5(4):481–502.Crossref, Google Scholar
• Godes D , Mayzlin D (2004) Using online conversations to study word-of-mouth communication. Marketing Sci. 23(4):545–560.Link, Google Scholar
• Goldberg ME , Gorn GJ (1987) Happy and sad TV programs: How they affect reactions to commercials. J. Consumer Res. 14(3):387–403.Crossref, Google Scholar
• Gonzalez G , De La Rosa JL , Montaner M , Delfin S (2007) Embedding emotional context in recommender systems. Proc. 23rd Internat. Conf. Data Engrg. Workshop (IEEE, New York), 845–852.Google Scholar
• Gray J , Sandvoss C , Harrington CL (2017) Fandom: Identities and Communities in a Mediated World (NYU Press, New York). Google Scholar
• Gruen TW , Osmonbekov T , Czaplewski AJ (2006) ewom: The impact of customer-to-customer online know-how exchange on customer value and loyalty. J. Bus. Res. 59(4):449–456.Crossref, Google Scholar
• Ha Y , Im H (2012) Role of website design quality in satisfaction and word of mouth generation. J. Service Management 23(1):79–96.Crossref, Google Scholar
• Henkin A , Shaham Y , Brickner I (2017) Contextual advertising techniques for implemented at mobile devices. US Patent 9,710,818.Google Scholar
• Hennig-Thurau T , Walsh G , Walsh G (2003) Electronic word-of-mouth: Motives for and consequences of reading customer articulations on the Internet. Internat. J. Electronic Commerce 8(2):51–74.Crossref, Google Scholar
• Hill S , Nalavade A , Benton A (2012) Social TV: Real-time social media response to TV advertising. Proc. 6th Internat. Workshop Data Mining Online Advertising Internet Econom. (ACM, New York), 4.Google Scholar
• Hinojosa JA , Carretié L , Méndez-Bértolo C , Míguez A , Pozo MA (2009) Arousal contributions to affective priming: Electrophysiological correlates. Emotion 9(2):164.Crossref, Google Scholar
• Hinz O , Hill S , Kim JY , et al. (2016) TV’s dirty little secret: The negative effect of popular TV on online auction sales. MIS Quart 40(3):623–644.Crossref, Google Scholar
• Ho JY , Dempsey M (2010) Viral marketing: Motivations to forward online content. J. Bus. Res. 63(9-10):1000–1006.Crossref, Google Scholar
• Holbrook MB , Batra R (1987) Assessing the role of emotions as mediators of consumer responses to advertising. J. Consumer Res. 14(3):404–420.Crossref, Google Scholar
• Iacus SM , King G , Porro G (2011) Causal inference without balance checking: Coarsened exact matching. Political Anal. 20(1):1–24.Google Scholar
• Imbens GW (2004) Nonparametric estimation of average treatment effects under exogeneity: A review. Rev. Econom. Statist. 86(1):4–29.Crossref, Google Scholar
• Isen AM , Shalker TE , Clark M , Karp L (1978) Affect, accessibility of material in memory, and behavior: A cognitive loop? J. Personality Soc. Psych. 36(1):1.Crossref, Google Scholar
• Kamins MA , Marks LJ , Skinner D (1991) Television commercial evaluation in the context of program induced mood: Congruency vs. consistency effects. J. Advertising 20(2):1–14.Crossref, Google Scholar
• Katz HE (2016) The Media Handbook: A Complete Guide to Advertising Media Selection, Planning, Research, and Buying (Taylor & Francis, Boca Raton, FL). Crossref, Google Scholar
• Kim AJ , Johnson KK (2016) Power of consumers using social media: Examining the influences of brand-related user-generated content on facebook. Comput. Human Behav. 58:98–108.Crossref, Google Scholar
• King RA , Racherla P , Bush VD (2014) What we know and don’t know about online word-of-mouth: A review and synthesis of the literature. J. Interactive Marketing 28(3):167–183.Crossref, Google Scholar
• Kuperman V , Estes Z , Brysbaert M , Warriner AB (2014) Emotion and language: Valence and arousal affect word recognition. J. Experiment. Psych. General 143(3):1065.Crossref, Google Scholar
• Kwark Y , Chen J , Raghunathan S (2014) Online product reviews: Implications for retailers and competing manufacturers. Inform. Systems Res. 25(1):93–110.Link, Google Scholar
• Ladhari R (2007) The effect of consumption emotions on satisfaction and word-of-mouth communications. Psych. Marketing 24(12):1085–1108.Crossref, Google Scholar
• Lang A , Dhillon K , Dong Q (1995) The effects of emotional arousal and valence on television viewers’ cognitive capacity and memory. J. Broadcasting Electronic Media 39(3):313–327.Crossref, Google Scholar
• Lau GT , Ng S (2001) Individual and situational factors influencing negative word-of-mouth behaviour. Canadian J. Admin. Sci. 18(3):163–178.Google Scholar
• Lewis RA , Reiley DH (2013) Down-to-the-minute effects of super bowl advertising on online search behavior. Proc. 14th ACM Conf. Electronic Commerce (ACM, New York), 639–656.Google Scholar
• Lewis RA , Reiley DH (2014) Online ads and offline sales: Measuring the effect of retail advertising via a controlled experiment on yahoo! Quantitative Marketing Econom. 12(3):235–266.Crossref, Google Scholar
• Li X , Hitt LM (2008) Self-selection and information role of online product reviews. Inform. Systems Res. 19(4):456–474.Link, Google Scholar
• Lynch K , Stipp H (1999) Examination of qualitative viewing factors for optimal advertising strategies. J. Advertising Res. 39(3):7.Google Scholar
• Mackie DM , Worth LT (1989) Processing deficits and the mediation of positive affect in persuasion. J. Personality Soc. Psych. 57(1):27.Crossref, Google Scholar
• Mehrabian A , Russell JA (1974) An Approach to Environmental Psychology (MIT Press, Cambridge, MA).Google Scholar
• Midha A (2014) Study: Exposure to TV tweets drives consumers to take action: Both on and off of Twitter. https://blog.twitter.com/2014/study-exposure-to-tv-tweets-drives-consumers-to-take-action-both-on-and-off-of-twitter.Google Scholar
• Mohammad SM (2016) Sentiment Analysis: Detecting Valence, Emotions, and Other Affectual States from Text. Emotion Measurement (Elsevier, New York).Google Scholar
• Mudambi SM , Schuff D (2010) Research note: What makes a helpful online review? a study of customer reviews on amazon.com. MIS Quart. 34(1):185–200.Google Scholar
• Myers DG (2004) Theories of emotion. Psychology, 7th ed. (Worth Publishers, New York), 500.Google Scholar
• Nielsen (2015) Social TV: A bellwether for tv audience engagement. https://www.nielsen.com/us/en/insights/news/2015/social-tv-a-bellwether-for-tv-audience-engagement.html/.Google Scholar
• Norris CE , Colman AM (1992) Context effects on recall and recognition of magazine advertisements. J. Advertising 21(3):37–46.Crossref, Google Scholar
• Pavelchak MA , Antil JH , Munch JM (1988) The super bowl: An investigation into the relationship among program context, emotional experience, and ad recall. J. Consumer Res. 15(3):360–367.Crossref, Google Scholar
• Peng C , Kim YG (2014) Application of the stimuli-organism-response (sor) framework to online shopping behavior. J. Internet Commerce 13(3-4):159–176.Crossref, Google Scholar
• Perry SD , Jenzowsky SA , King CM , Yi H , Hester JB , Gartenschlaeger J (1997) Using humorous programs as a vehicle for humorous commercials. J. Comm. 47(1):20–39.Crossref, Google Scholar
• Pugh SD (2001) Service with a smile: Emotional contagion in the service encounter. Acad. Management J. 44(5):1018–1027.Crossref, Google Scholar
• Rajadesingan A , Zafarani R , Liu H (2015) Sarcasm detection on Twitter: A behavioral modeling approach. Proc. 8th ACM Internat. Conf. Web Search Data Mining (ACM, New York), 97–106.Google Scholar
• Rozin P , Royzman EB (2001) Negativity bias, negativity dominance, and contagion. Personality Soc. Psych. Rev. 5(4):296–320.Crossref, Google Scholar
• Russell JA (1980) A circumplex model of affect. J. Personality Soc. Psych. 39(6):1161.Crossref, Google Scholar
• Schmitter T , Rosen J (2005) Contextual advertising system. U.S. Patent Application 10/836,820.Google Scholar
• Singh SN , Churchill GA Jr (1987) Arousal and advertising effectiveness. J. Advertising 16(1):4–40.Crossref, Google Scholar
• Stevenson RA , Mikels JA , James TW (2007) Characterization of the affective norms for English words by discrete emotional categories. Behav. Res. Methods 39(4):1020–1024.Crossref, Google Scholar
• Sun T , Youn S , Wu G , Kuntaraporn M (2006) Online word-of-mouth (or mouse): An exploration of its antecedents and consequences. J. Comput. Mediated Comm. 11(4):1104–1127.Crossref, Google Scholar
• Tan C , Niculae V , Danescu-Niculescu-Mizil C , Lee L (2016) Winning arguments: Interaction dynamics and persuasion strategies in good-faith online discussions. Proc. 25th Internat. Conf. World Wide Web (ACM, New York), 613–624.Google Scholar
• Tavassoli N , Shultz CJ , Fitzsimons GJ (1995) Program involvement: Are moderate levels best for ad memory and attitude toward the ad? J. Advertising Res. 35:61–72.Google Scholar
• Toubia O , Stephen AT (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
• Tsang MM , Ho SC , Liang TP (2004) Consumer attitudes toward mobile advertising: An empirical study. Internat. J. Electronic Commerce 8(3):65–78.Crossref, Google Scholar
• Tyler BD , Cobbs J (2017) All rivals are not equal: Clarifying misrepresentations and discerning three core properties of rivalry. J. Sport Management 31(1):1–14.Crossref, Google Scholar
• Van Setten M , Pokraev S , Koolwaaij J (2004) Context-aware recommendations in the mobile tourist application compass. Proc. Internat. Conf. Adaptive Hypermedia Adaptive Web-Based Systems (Springer, New York), 235–244.Google Scholar
• Wang C , Zhang P , Choi R , D’Eredita M (2002) Understanding consumers attitude toward advertising. Proc. 8th Amer. Conf. Inform. Systems (AIS, Atlanta), 1143–1148.Google Scholar
• Warriner AB , Kuperman V , Brysbaert M (2013) Norms of valence, arousal, and dominance for 13,915 English lemmas. Behav. Res. Methods 45(4):1191–1207.Crossref, Google Scholar
• Watson D , Clark LA , Tellegen A (1988) Development and validation of brief measures of positive and negative affect: The PANAS scales. J. Personality Soc. Psych. 54(6):1063.Crossref, Google Scholar
• Wojnicki AC , Godes D (2008) Word-of-mouth as self-enhancement. HBS Marketing Research Paper 06-01, http://ssrn.com/abstract=908999.Google Scholar
• Yang X , Smith RE (2009) Beyond attention effects: Modeling the persuasive and emotional effects of advertising creativity. Marketing Sci. 28(5):935–949.Link, Google Scholar
• Yu Y , Wang X (2015) World Cup 2014 in the Twitter world: A big data analysis of sentiments in us sports fans’ tweets. Comput. Human Behav. 48:392–400.Crossref, Google Scholar
• Zentner A , Smith M , Kaya C (2013) How video rental patterns change as consumers move online. Management Sci. 59(11):2622–2634.Link, Google Scholar
• Zhao S , Zhong L , Wickramasuriya J , Vasudevan V (2011) Analyzing Twitter for social TV: Sentiment extraction for sports. Proc. 2nd Internat. Workshop Future Television, vol. 2, 11–18.Google Scholar
• Zhu F , Zhang X (2006) The influence of online consumer reviews on the demand for experience goods: The case of video games. ICIS 2006 Proc. (AIS, Atlanta), 25.Google Scholar