Emotions in Online Content Diffusion

References

• Anderson M (2015) Men catch up with women on overall social media use. Pew Research Center (August 28), https://www.pewresearch.org/short-reads/2015/08/28/men-catch-up-with-women-on-overall-social-media-use/.Google Scholar
• Baltagi BH, Baltagi BH (2008) Econometric Analysis of Panel Data, vol. 4 (Springer, Cham, Switzerland).Google Scholar
• Berger J (2011) Arousal increases social transmission of information. Psych. Sci. 22(7):891–893.Crossref, Google Scholar
• Berger J (2014) Word of mouth and interpersonal communication: A review and directions for future research. J. Consumer Psych. 24(4):586–607.Crossref, Google Scholar
• Berger J, Iyengar R (2013) Communication channels and word of mouth: How the medium shapes the message. J. Consumer Res. 40(3):567–579.Crossref, Google Scholar
• Berger J, Milkman KL (2012) What makes online content viral? J. Marketing Res. 49(2):192–205.Crossref, Google Scholar
• Blei DM, Ng AY, Jordan MI (2003) Latent dirichlet allocation. J. Machine Learn. Res. 3:993–1022.Google Scholar
• Brady WJ, Wills JA, Burkart D, Jost JT, Van Bavel JJ (2019) An ideological asymmetry in the diffusion of moralized content on social media among political leaders. J. Experiment. Psych. General 148(10):1802–1813.Crossref, Google Scholar
• Brady WJ, Wills JA, Jost JT, Tucker JA, Van Bavel JJ (2017) Emotion shapes the diffusion of moralized content in social networks. Proc. Natl. Acad. Sci. USA 114(28):7313–7318.Crossref, Google Scholar
• Carstensen LL, Fung HH, Charles ST (2003) Socioemotional selectivity theory and the regulation of emotion in the second half of life. Motivation Emotion 27:103–123.Crossref, Google Scholar
• Chernozhukov V, Chetverikov D, Demirer M, Duflo E, Hansen C, Newey W, Robins J (2018) Double/debiased machine learning for treatment and structural parameters. Econometrics J. 21(1):C1–C68.Google Scholar
• Clark MS, Taraban C (1991) Reactions to and willingness to express emotion in communal and exchange relationships. J. Experiment. Soc. Psych. 27(4):324–336.Crossref, Google Scholar
• Cotten SR, Schuster AM, Seifert A (2022) Social media use and well-being among older adults. Current Opinion Psych. 45:101293.Crossref, Google Scholar
• Dev H, Karahalios K, Sundaram H (2019) Quantifying voter biases in online platforms: An instrumental variable approach. Lampinen A, Gergle D, Shamma DA, eds. Proc. ACM Human-Comput. Interaction, vol. 3 (Association for Computing Machinery, New York), 1–27.Google Scholar
• Festinger L (1954) A theory of social comparison processes. Human Relations 7(2):117–140.Crossref, Google Scholar
• Finkenauer C (1998) Secrets: Types, determinants, functions, and consequences. Unpublished doctoral dissertation, University of Louvain at Louvain-la-Neuve, Belgium.Google Scholar
• Goel S, Anderson A, Hofman J, Watts DJ (2015) The structural virality of online diffusion. Management Sci. 62(1):180–196.Link, Google Scholar
• Gorodnichenko Y, Pham T, Talavera O (2023) The voice of monetary policy. Amer. Econom. Rev. 113(2):548–584.Crossref, Google Scholar
• Hatfield E, Cacioppo JT, Rapson RL (1993) Emotional contagion. Current Directions Psych. Sci. 2(3):96–100.Crossref, Google Scholar
• He Y, Bond SD (2013) Word-of-mouth and the forecasting of consumption enjoyment. J. Consumer Psych. 23(4):464–482.Crossref, Google Scholar
• Heath C, Bell C, Sternberg E (2001) Emotional selection in memes: The case of urban legends. J. Personality Soc. Psych. 81(6):1028–1041.Crossref, Google Scholar
• Heerdink MW, Koning LF, Van Doorn EA, Van Kleef GA (2019) Emotions as guardians of group norms: Expressions of anger and disgust drive inferences about autonomy and purity violations. Cognition Emotion 33(3):563–578.Crossref, Google Scholar
• Hennig-Thurau T, Wiertz C, Feldhaus F (2015) Does Twitter matter? The impact of microblogging word of mouth on consumers’ adoption of new movies. J. Acad. Marketing Sci. 43(3):375–394.Crossref, Google Scholar
• Jiang L, Yin D, Liu D (2019) Can joy buy you money? The impact of the strength, duration, and phases of an entrepreneur’s peak displayed joy on funding performance. Acad. Management J. 62(6):1848–1871.Crossref, Google Scholar
• Kahn JH, Tobin RM, Massey AE, Anderson JA (2007) Measuring emotional expression with the linguistic inquiry and word count. Amer. J. Psych. 120(2):263–286.Crossref, Google Scholar
• Keltner D, Haidt J (1999) Social functions of emotions at four levels of analysis. Cognition Emotion 13(5):505–521.Crossref, Google Scholar
• Kensinger EA (2008) Age differences in memory for arousing and nonarousing emotional words. J. Gerontology Ser. B Psych. Sci. Soc. Sci. 63(1):P13–P18.Google Scholar
• Lal A, Lockhart M, Xu Y, Zu Z (2024) How much should we trust instrumental variable estimates in political science? Practical advice based on 67 replicated studies. Political Anal. 32(4):521–540.Crossref, Google Scholar
• Lapinski MK, Rimal RN (2005) An explication of social norms. Comm. Theory 15(2):127–147.Crossref, Google Scholar
• Lerner JS, Small DA, Loewenstein G (2004) Heart strings and purse strings: Carryover effects of emotions on economic decisions. Psych. Sci. 15(5):337–341.Crossref, Google Scholar
• Lerner JS, Li Y, Valdesolo P, Kassam KS (2015) Emotion and decision making. Annual Rev. Psych. 66:799–823.Crossref, Google Scholar
• Lin X, Wang X (2020) Examining gender differences in people’s information-sharing decisions on social networking sites. Internat. J. Inform. Management 50:45–56.Crossref, Google Scholar
• Luna T, Renninger L (2015) Surprise: Embrace the Unpredictable and Engineer the Unexpected (TarcherPerigee, New York).Google Scholar
• Malik M, Hussain A (2017) Helpfulness of product reviews as a function of discrete positive and negative emotions. Comput. Human Behav. 73:290–302.Crossref, Google Scholar
• Mikolov T, Chen K, Corrado G, Dean J (2013) Efficient estimation of word representations in vector space. Preprint, submitted January 16, https://arxiv.org/abs/1301.3781.Google Scholar
• Nguyen H, Calantone R, Krishnan R (2020) Influence of social media emotional word of mouth on institutional investors’ decisions and firm value. Management Sci. 66(2):887–910.Link, Google Scholar
• Pang B, Lee L (2005) Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. Knight K, Ng HT, Oflazer K, eds. Proc. 43rd Annual Meeting Assoc. Comput. Linguistics (Association for Computational Linguistics, Ann Arbor, MI), 115–124.Google Scholar
• Plutchik R (2001) The nature of emotions: Human emotions have deep evolutionary roots, a fact that may explain their complexity and provide tools for clinical practice. Amer. Sci. 89(4):344–350. Crossref, Google Scholar
• Quan C, Ren F (2010) A blog emotion corpus for emotional expression analysis in Chinese. Comput. Speech Language 24(4):726–749.Crossref, Google Scholar
• Reed WR (2015) On the practice of lagging variables to avoid simultaneity. Oxford Bull. Econom. Statist. 77(6):897–905.Crossref, Google Scholar
• Rimé B (2009) Emotion elicits the social sharing of emotion: Theory and empirical review. Emotion Rev. 1(1):60–85.Crossref, Google Scholar
• Rui H, Liu Y, Whinston A (2013) Whose and what chatter matters? The effect of tweets on movie sales. Decision Support Systems 55(4):863–870.Crossref, Google Scholar
• Sargan JD (1958) The estimation of economic relationships using instrumental variables. Econometrica 26(3):393–415.Crossref, Google Scholar
• Scherer KR (2001) Appraisal considered as a process of multilevel sequential checking. Scherer KR, Schorr A, Johnstone T, eds. Appraisal Processes in Emotion: Theory, Methods, Research (Oxford University Press, Oxford, UK), 92–120.Crossref, Google Scholar
• Shi Z, Rui H, Whinston AB (2014) Content sharing in a social broadcasting environment: Evidence from Twitter. MIS Quart. 38(1):123–142.Crossref, Google Scholar
• Song Y, Shi S, Li J, Zhang H (2018) Directional skip-gram: Explicitly distinguishing left and right context for word embeddings. Walker M, Ji H, Stent A, eds. Proc. 2018 Conf. North Amer. Chapter Assoc. Comput. Linguistics Human Language Tech. Vol. 2 (Short Papers) (Association for Computational Linguistics, New Orleans, LA), 175–180.Google Scholar
• Stieglitz S, Dang-Xuan L (2013) Emotions and information diffusion in social media—Sentiment of microblogs and sharing behavior. J. Management Inform. Systems 29(4):217–248.Crossref, Google Scholar
• Stock J, Yogo M (2005) Testing for Weak Instruments in Linear IV Regression (Cambridge University Press, New York), 80–108.Google Scholar
• Tomkins SS (1962) Affect Imagery Consciousness: Volume I: The Positive Affects (Springer Publishing Company, New York).Google Scholar
• Van den Bulte C, Bayer E, Skiera B, Schmitt P (2018) How customer referral programs turn social capital into economic capital. J. Marketing Res. 55(1):132–146.Crossref, Google Scholar
• Van Kleef GA (2009) How emotions regulate social life: The emotions as social information (EASI) model. Current Directions Psych. Sci. 18(3):184–188.Crossref, Google Scholar
• Van Kleef GA (2010) The emerging view of emotion as social information. Soc. Personality Psych. Compass 4(5):331–343.Crossref, Google Scholar
• Villas-Boas JM, Winer RS (1999) Endogeneity in brand choice models. Management Sci. 45(10):1324–1338.Link, Google Scholar
• Vosoughi S, Roy D, Aral S (2018) The spread of true and false news online. Science 359(6380):1146–1151.Crossref, Google Scholar
• Wang X, Lee EW (2020) Negative emotions shape the diffusion of cancer tweets: Toward an integrated social network–text analytics approach. Internet Res. 31(2):401–418.Crossref, Google Scholar
• Wooldridge JM (2002) Econometric Analysis of Cross Section and Panel Data, 2nd ed. (The MIT Press, Cambridge, MA).Google Scholar
• Xiao Y, Zhang H, Cervone D (2018) Social functions of anger: A competitive mediation model of new product reviews. J. Product Innovation Management 35(3):367–388.Crossref, Google Scholar
• Xue B, Fu C, Shaobin Z (2014) A study on sentiment computing and classification of Sina Weibo with Word2vec. IEEE Internat. Congress Big Data (IEEE, Piscataway, NJ), 358–363.Google Scholar
• Yang M, Adomavicius G, Burtch G, Ren Y (2018) Mind the gap: Accounting for measurement error and misclassification in variables generated via data mining. Inform. Systems Res. 29(1):4–24.Link, Google Scholar
• Yin D, Bond S, Zhang H (2014) Anxious or angry? Effects of discrete emotions on the perceived helpfulness of online reviews. MIS Quart. 38(2):539–560.Crossref, Google Scholar
• Yin D, Bond S, Zhang H (2017) Keep your cool or let it out: Nonlinear effects of expressed arousal on perceptions of consumer reviews. J. Marketing Res. 54(3):447–463.Crossref, Google Scholar
• Yin D, Bond SD, Zhang H (2021) Anger in consumer reviews: Unhelpful but persuasive? MIS Quart. 45(3):1059–1086.Crossref, Google Scholar
• Yu Y, Yang Y, Huang J, Tan Y (2023) Unifying algorithmic and theoretical perspectives: Emotions in online reviews and sales. MIS Quart. 47(1):127–160.Crossref, Google Scholar