“Hard to Read, Hard to Believe”: (Dis)Fluency effects on eWOM credibility and purchase intentions
DOI:
https://doi.org/10.5585/remark.v22i1.21421Keywords:
eWOM, Valence, Fluency, Credibility, Purchase intentionAbstract
Purpose: to investigate the impact of Perceptual (physical-visual characteristics) and Conceptual (content/meanings) Fluency (ease) and Disfluency (difficulty) on eWOM (Electronic Word-of-Mouth) credibility and purchase intentions.
Design/methodology: in two online experiments, we manipulated eWOM valence (negative vs positive) and (dis)fluency for fictional and real online stores, testing the direct effects of positive eWOMs on purchase intentions (H3) and the mediational effects of eWOM credibility (H1) from disfluent negative eWOMs (H2).
Originality/Value: to our knowledge, it is the first study to directly evaluate eWOMs’ (both positive and negative) (Dis)Fluency on purchase intentions, and its eWOM credibility mediational effects.
Findings: although prior studies indicated overall (Dis)fluency symmetric effects on positive and negative evaluations (i.e., perceived truth and attitudes), here we demonstrate that only negative eWOM credibility was affected by Disfluency, resulting in an indirect effect on purchase intentions. Indeed, Positive eWOMs did not suffer credibility reduction from Disfluency, maintaining a direct bias effect. We also observed that these effects hold even with consensus and multiple eWOM evidence.
Theoretical contribution: We demonstrate here that (Dis)Fluency effects on eWOM credibility (and later purchase intentions) depend on eWOM valence. Specifically, while negative eWOM perception can be altered by Disfluency, positive eWOM effects cannot be suppressed by readability, or even difficulty to remember in the short run, maintaining its credibility and faster deliberations.
Social/ Management contributions: Furthermore, the (Dis)Fluency manipulations tested are similar to what occurs daily (i.e., the smartphones’ “dark theme/mode” and font color and type variations) with or without managers’ intentions, increasing purchase intentions.
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References
Aarts, H., & Dijksterhuis, A. (1999). How often did I do it? Experienced ease of retrieval and frequency estimates of past behavior. Acta Psychologica, 103(1-2), 77-89. https://doi.org/10.1016/S0001-6918(99)00035-9
Agnihotri, R., Dingus, R., Hu, M.Y., & Krush, M. (2016). Social media: Influencing customer satisfaction in B2B sales. Industrial Marketing Management, 53, 172–180. https://doi.org/10.1016/j.indmarman.2015.09.003
Alter, A.L., Oppenheimer, D. M., Epley, N., & Eyre, R. N. (2007). Overcoming intuition: Metacognitive difficulty activates analytic reasoning. Journal of Experimental Psychology: General, 136(4), 569-576. https://doi.org/10.1037/0096-3445.136.4.569
Alter, A.L., & Oppenheimer, D.M. (2008). Easy on the mind, easy on the wallet: The roles of familiarity and processing fluency in valuation judgments. Psychonomic Bulletin & Review, 15(5), 985-990. https://doi.org/10.3758/PBR.15.5.985
Alter, A.L., & Oppenheimer, D.M. (2009). Uniting the tribes of fluency to form a metacognitive nation. Personality and Social Psychology Review, 13(3), 219-235. https://doi.org/10.1177/1088868309341564
Alter, A.L. (2013). The benefits of cognitive disfluency. Current Directions in Psychological Science, 22(6), 437–442. https://doi.org/10.1177/0963721413498894
Allcott, H., & Gentzkow, M. (2017). Social media and fake news in the 2016 election. Journal of Economic Perspectives, 31(2), 211-236. https://doi.org/10.1257/jep.31.2.211
Aydin, A.E. (2016). Processing fluency: Examining its relationship with thinking style and purchase intention, Journal of Marketing Communications, 24(6), 588-598. https://doi.org/10.1080/13527266.2016.1167765
Balaji, M.S., Khong, K.W. & Chong, A.Y.L (2016). Determinants of negative word-of-mouth communication using social networking sites. Information & Management, 53, 528–540. https://doi.org/10.1016/j.im.2015.12.002
Bajšanski, I., Žauhar, V., & Valerjev, P. (2019). Confidence judgments in syllogistic reasoning: The role of consistency and response cardinality, Thinking & Reasoning, 25(1), 14-47. https://doi.org/10.1080/13546783.2018.1464506
Bowen, H. J., Kark, S. M. & Kensinger, E. A. (2018). NEVER forget: Negative emotional valence enhances recapitulation. Psychonomic Bulletin & Review, 25(3), 870-891. https://doi.org/10.3758/s13423-017-1313-9
Bookbinder, S. H., & Brainerd, C. J. (2017). Emotionally negative pictures enhance gist memory. Emotion, 17(1), 102-119. https://doi.org/10.1037/emo0000171
Brewin, C. R., & Langley, K. M. R. (2009). Imagery retrieval may explain why recall of negative scenes contains more accurate detail. Memory & Cognition, 47(3), 420-427. https://doi.org/10.3758/s13421-018-0876-7
Brown, J.; Broderick, a. J. E, Lee, N. (2007). Word of mouth communication within on-line communities: conceptualizing the on-line social network. Journal of Interactive Marketing, 21(3), 2-20. http://dx.doi.org/10.1002/dir.20082
Chen, Y., Yang, S., & Wang, Z. (2016). Service cooperation and marketing strategies of Infomediary and online retailer with eWOM effect. Information and Technology Management 17(2), 109-118. http://dx.doi.org/10.1007/s10799-015-0237-1
Cheung, M. Y., Luo, C., Sia, C. L., & Chen, H. (2009). Credibility of electronic word-of-mouth: Informational and normative determinants of online consumer recommendations, International Journal of Electronic Commerce, 13(4), 9-38. https://doi.org/10.2753/JEC1086-4415130402
Cheung, M.Y; Chuan, L.; Sia, C.L. & Huaping, C. (2007). How do People Evaluate Electronic Word-Of-Mouth? Informational and Normative Based Determinants of Perceived Credibility of Online Consumer Recommendations in China. Pacific Asia Conference on Information Systems 2007, Sections 1-6. Natl sun yat-sen univ, 2007. https://aisel.aisnet.org/pacis2007/18/
Claypool, H. M., Mackie, D. M., & Garcia-Marques, T. (2015). Fluency and attitudes. Social and Personality Psychology Compass, 9(7), 370–382. https://doi.org/10.1111/spc3.12179
Constable, M. D., Bayliss, A. P., Tipper, S. P., & Kritikos, A. (2013). Self-generated cognitive fluency as an alternative route to preference formation. Consciousness and Cognition, 22(1), 47–52. https://doi.org/10.1016/j.concog.2012.11.006
Dellarocas, C. (2003). The digitization of word of mouth: promise and challenges of online feedback mechanisms. Management Science, 49(10), 1407-1424. http://dx.doi.org/10.1287/mnsc.49.10.1407.17308
Diemand-Yauman, C., Oppenheimer, D. M., & Vaughan, E. B. (2011). Fortune favors the BOLD (and the Italicized): Effects of disfluency on educational outcomes. Cognition, 118(1), 111-5. https://doi.org/10.1016/j.cognition.2010.09.012
Epley, N., & Gilovich, T. (2006). The anchoring-and-Adjustment Heuristic: Why the Adjustments Are Insufficient. Psychological Science 17(4), 311-318. https://doi.org/10.1111/j.1467-9280.2006.01704.x
Garcia-Marques, T., Silva, R. R., & Mello, J. (2016). Judging the truth-value of a statement in and out of a deep processing context. Social Cognition, 34, 40–54. https://doi.org/10.1521/soco.2016.34.1.40
Goldsmith, R. E. e Horowitz, D. (2006). Measuring motivations for online opinion seeking. Journal of Interactive Advertising, 6(2), 2-14. https://doi.org/10.1080/15252019.2006.10722114
Haddock, G. (2002). It’s easy to like or dislike Tony Blair: Accessibility experiences and the favorability of attitude judgments. British Journal of Social Psychology, 93(2), 257-267. https://doi.org/10.1348/000712602162571
Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis. New York: The Guilford Press.
Hartman, K.B.; Hunt, J.B. e Childers, C.Y. (2013). Effects of eWOM valence: examining consumer choice using evaluations of teaching. Journal of Behavioral Studies in Business, 6, 1-12. https://www.aabri.com/manuscripts/131623.pdf
Hennig‐Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word‐of‐mouth via consumer‐opinion platforms: What motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1), 38-52. https://doi.org/10.1002/dir.10073
Hernandez, I. & Preston, J. L. (2013). Disfluency disrupts the confirmation bias. Journal of Experimental Social Psychology, 49(1), 178–182. https://doi.org/10.1016/j.jesp.2012.08.010
Herr, P. M., Kardes, F. R., & Kim, J. (1991). The effects of word-of-mouth and product-attribute information on persuasion: An accessibility-diagnosticity perspective. Journal of Consumer Research, 17, 454–462. https://doi.org/10.1086/208570
Herr, P. M. & Page, C. M (2004). Asymmetric association of liking and disliking judgments: So what’s not to like? Journal of Consumer Research, 30(4), 588–601. https://doi.org/10.1086/380291
Herr, P. M., Page, C. M., Pfeiffer, B. E., & Davis, F. D. (2012). Affective influences on evaluative processing. Journal of Consumer Research, 38(5), 833-845. https://doi.org/10.1086/660844
Izogo, E.E., Jayawardhena, C. and Karjaluoto, H. (2022), "Negative eWOM and perceived credibility: a potent mix in consumer relationships", International Journal of Retail & Distribution Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJRDM-01-2022-0039
Kahneman, D. (2011). Rápido e Devagar: Duas formas de pensar. Rio de Janeiro: Objetiva.
Kensinger, E. A., & Schacter, D. L. (2008). Neural processes supporting young and older adults' emotional memories. Journal of Cognitive Neuroscience, 20(7), 1161-1173. https://doi.org/10.1162/jocn.2008.20080
Kensinger, E. A. (2009). Remembering the details: Effects of emotion. Emotion Review, 1(2), 99–113. https://doi.org/10.1177%2F1754073908100432
Kensinger, E. A., & Mark, S. M. (2018). Emotion and memory. In Stevens' handbook of experimental psychology and cognitive neuroscience. New York: John Wiley &Sons, inc. https://doi.org/10.1002/9781119170174.epcn101
Kim, J.; Naylor, G.; Sivadas, E. & Sugumaran, V. (2016). The unrealized value of incentivized eWOM recommendations. Mark Lett, Springer Science+Business Media, 27, p.411–421. http://dx.doi.org/10.1007/s11002-015-9360-3
Kim, J., & Gupta, P. (2012). Emotional expressions in online user reviews: How they influence consumers' product evaluations. Journal of Business Research, 65(7), 104–115. https://doi.org/10.1016/J.JBUSRES.2011.04.013
Kornell, N., Rhodes, M. G., Castel, A. D., & Tauber, S. K. (2011). The ease-of-processing heuristic and the stability bias dissociating memory, memory beliefs, and memory judgments. Psychological Science, 22(6), 787-794. https://doi.org/10.1177/0956797611407929
Korfiatis, N., García-Bariocanal, E., & Sánchez-Alonso, S. (2012). Evaluating content quality and helpfulness of online product reviews: The interplay of review helpfulness vs. review content. Electronic Commerce Research and Applications, 11(3), 205–217. http://dx.doi.org/10.1016/j.elerap.2011.10.003
Kozinets, R. V. (1999). E-tribalized marketing? The strategic implications of virtual communities of consumption. European Management Journal, 17, 252–264. https://doi.org/10.1016/S0263-2373(99)00004-3
Labroo, A. A., Dhar, R., & Schwarz, N. (2008). Of frog wines and frowing watches: Semantic priming, perceptual fluency, and brand evaluation. Journal of Consumer Research, 34(6), 819-831. https://doi.org/10.1086/523290
Labroo, A. A., & Pocheptsova, A. (2016). Metacognition and consumer judgment: Fluency is pleasant but disfluency ignites interest. Current Opinion in Psychology, 10, 154-159. https://doi.org/10.1016/j.copsyc.2016.01.008
Landwehr, J. R., Golla, B., & Reber, R. (2017). Processing fluency: An inevitable side effect of evaluative conditioning. Journal of Experimental Social Psychology, 70, 124–128. https://doi.org/10.1016/j.jesp.2017.01.004
Lazarus, R. S. (1991). Emotion and adaptation. New York: Oxford University Press.
Lazer, D. M, Baum, M. Benkler, Y., Berinsky, A. J., Greenhill, K. M, Menczer, F. & Metzge, M. J. (2018). The science of Fake News. Science, 9(359-6380), pp. 1094-1096. https://doi.org/10.1126/science.aao2998
Lee, S-H. (2009). How do online reviews affect purchasing intention? African Journal of Business Management, 3(10), 576-581. https://doi.org/10.5897/AJBM09.204
Lee, E-J., & Shin, S.Y. (2014). When do consumers buy online product reviews? Effects of review quality, product type, and reviewer’s photo. Computers in Human Behavior, 31, 356–366. https://doi.org/10.1016/j.chb.2013.10.050
Lin, T.M. Y, Lu, K-Y. & Wu, J-J. (2012). The effects of visual information in eWOM communication. Journal of Research in Interactive Marketing, 6(1), 7–26 http://dx.doi.org/10.1108/17505931211241341
Li, J.; Zhan, L. (2011). Online persuasion: How the written word drives WOM. Journal of Advertising Research, 51(1), 239–257. https://doi.org/10.2501/JAR-51-1-239-257
Madan, C. R., Scott, S. M. E., & Kensinger, E. A. (2019). Positive emotion enhances association-memory. Emotion, 19(4), 733-740. https://doi.org/10.1037/emo0000465
Maier, E., & Dost, F. (2018). The positive effect of contextual image backgrounds on fluency and liking. Journal of Retailing and Consumer Services, 40, 109-116. http://dx.doi.org/10.1016/j.jretconser.2017.09.003
Mendes-Da-Silva, W., & Yu, A. S. O. (2009). Análise empírica do senso de controle: Buscando entender o excesso de confiança. Revista de administração contemporânea, 13(2), 247-271. https://doi.org/10.1590/S1415-65552009000200006
Miele, D. B., & Molden, D. C. (2010). Naive theories of intelligence and the role of processing fluency in perceived comprehension. Journal of Experimental Psychology: General, 139(3), 535-557. https://doi.org/10.1037/a0019745
Moran, G., Muzellec, L., & Nolan, E. (2014). Consumer moments of truth in the digital context: How "search" and "e-word of mouth" can fuel consumer decision-making. Journal of Advertising Research, 54(2), 200-204. http://dx.doi.org/10.2501/JAR-54-2-200-204
Muda, M. and Hamzah, M.I. (2021), "Should I suggest this YouTube clip? The impact of UGC source credibility on eWOM and purchase intention", Journal of Research in Interactive Marketing, Vol. 15 No. 3, pp. 441-459. https://doi.org/10.1108/JRIM-04-2020-0072
Newman, E.J., Sanson, M., Miller, E.K., Quigley-McBride, A., Foster, J.L., Bernstein, D.M., Garry, M., Bastian, B. (2014). People with easier to pronounce names promote truthiness of Claims. PLoS ONE, 9(2), e88671. https://doi.org/10.1371/journal.pone.0088671
Oliver, R. L. (2010). Satisfaction, a behavioural perspective on the consumer (2. ed.). Nova Iorque: Irwin McGraw-Hill.
Oppenheimer, D. M. (2004). Spontaneous discounting of availability in frequency judgment tasks. Psychological Science, 15(2), 100-105. https://doi.org/10.1111/j.0963-7214.2004.0150200
Oppenheimer, D. M. (2006). Consequences of erudite vernacular utilized irrespective of necessity: Problems with using long words needlessly. Applied Cognitive Psychology, 20(2), 139–156. https://doi.org/10.1002/acp.1178
Orita, R. & Hattori, M. (2018). Positive and negative affects facilitate insight problem-solving in different ways: A study with Implicit hints. Japanese Psychological Research, Special issue: Implicit Cognition, 61(2), 94–106. https://doi.org/10.1111/jpr.12237
Park, S., Shin, W. and Xie, J. (2021) The Fateful First Consumer Review. Marketing Science 40(3):481-507. https://doi.org/10.1287/mksc.2020.1264
Park, D.H, Lee, J. Han, I. (2007). The Effect of On-line Consumer Reviews on Consumer Purchasing Intention: The Moderating Role of Involvement. International Journal of Electronic Commerce, 11(4), 125-148. https://doi.org/10.2753/JEC1086-4415110405
Park, Y., Herr, P. M., & Kim, B. C. (2016). The effect of disfluency on consumer perceptions of information security. Marketing Letters, 27(3), 525–535. https://doi.org/10.1007/s11002-015-9359-9
Parks, C. M., & Toth, J. P. (2006). Fluency, familiarity, aging, and the illusion of truth. Aging, Neuropsychology, and Cognition, 13, 225–253. https://doi.org/10.1080/138255890968691
Pennycook, G., Cannon, T. D., & Rand, D. G. (2018). Prior exposure increases perceived accuracy of fake news. Journal of Experimental Psychology: General, 147(12), 1865–1880. https://doi.org/10.1037/xge0000465
Prato, F., & John, O. P. (1991). Automatic vigilance: The attention-grabbing power of negative social information. Journal of Personality and Social Psychology, 61(3), 380-391. https://doi.org/10.1037//0022-3514.61.3.380
Reber, R., & Schwarz, N. (1999). Effects of perceptual fluency on judgments of truth. Consciousness and Cognition, 8(3), 338-342. https://doi.org/10.1006/ccog.1999.0386
Rost, K., Stahel, L., & Frey, B.S. (2016). Digital social norm enforcement: Online firestorms in social media. PLoS ONE, 11(6), 1-26. https://doi.org/10.1371/journal.pone.0155923
Rowe G, Hirsh, J. B., & Anderson A.K. (2007). Positive affect increases the breadth of attentional selection. Proceedings of the National Academy of Sciences, 104(1), 383-388. https://doi.org/10.1073/pnas.0605198104
Ryffel, F. A., & Wirth, W. (2016). Heart versus mind: How affective and cognitive message frames change attitudes. Social Psychology, 47(1), 52-62. https://doi.org/10.1027/1864-9335/a000257
Ryffel, F. A., & Wirth, W. (2018). How perceived processing fluency influences the illusion of knowing in learning from tv reports. Journal of Media Psychology, 32(1), 2-13. https://doi.org/10.1027/1864-1105/a000250
Sanchez, C., & Jaeger, A. J. (2015). If it’s hard to read, it changes how long you do it: Reading time as an explanation for perceptual fluency effects on judgment. Psychonomic Bulletin & Review, 22(1), 206–211. https://doi.org/10.3758/s13423-014-0658-6
Silva, R. R., Chrobot, N., Newman, E., Schwarz, N., & Topolinski, S. (2017). Make it short and easy: Username complexity determines trustworthiness above and beyond objective reputation. Frontiers in Psychology, 8, 2200. https://doi.org/10.3389/fpsyg.2017.02200
Schwarz, N. (2004). Metacognitive experiences in consumer judgment and decision making. Journal of Consumer Psychology, 14(4), 332-348. https://doi.org/10.1207/s15327663jcp1404_2
Schwarz, N., Jalbert, M., Noah, T. and Zhang, L. (2020). Metacognitive experiences as information: Processing Fluency in consumer judgement and decision making. Consumer Psychology Review, 00, 1-22. https://doi.org/10.1002/arcp.1067
Schindler, R, & Bickart, B. (2012). Perceived helpfulness of online consumer reviews: The role of message content and style. 11(3), 1–10. https://doi.org/10.1002/cb.1372
Silva, R. R., Garcia-Marques, T., & Reber, R. (2017). The informative value of type of repetition: Perceptual and conceptual fluency influences on judgments of truth. Consciousness and Cognition: An International Journal, 51, 53-67. https://doi.org/10.1016/j.concog.2017.02.016
Simmons, J.P., Nelson, L.D. (2006). Intuitive confidence: Choosing between intuitive and nonintuitive alternatives. Journal of Experimental Psychology, 35(3), 409-428. https://doi.org/10.1037/0096-3445.135.3.409
Simmons, J. P., & Nelson, L. D. (2007). Intuitive confidence: When consumer choices are sensitive to matching prices. Association for Consumer Research, 34, 265-268. http://www.acrwebsite.org/volumes/12610/volumes/v34/NA-34
Sirgy, J. M. A. (1984). Social cognition model of consumer satisfaction/dissatisfaction: An experiment. Psychology & Marketing, 1(2), 27- 44. https://doi.org/10.1002/mar.4220010205
Sohn, D (2009). Disentangling the effects of social network density on electronic word-of-mouth (eWOM) intention. Journal of Computer-mediated Communication, 14, 352-367. http://dx.doi.org/10.1111/j.1083-6101.2009.01444.x
Song, H., & Schwarz, N. (2008). If it’s hard to read, it’s hard to do: Processing fluency affects effort prediction and motivation. Psychological Science, 19(10), 986-988. https://doi.org/10.1111/j.1467-9280.2008.02189.x
Song, H., & Schwarz, N. (2009). If it’s difficult to pronounce, it must be risky. Psychological Science, 20(2), 135–138. https://doi.org/10.1111/j.1467-9280.2009.02267.x
Su, N., Li, T., Zheng, J., Hu, X., Fan, T., & Lu L. (2018). How font size affects judgments of learning: Simultaneous mediating effect of item-specific beliefs about fluency and moderating effect of beliefs about font size and memory. PLOS ONE 13, 1-14. https://doi.org/10.1371/journal.pone.0200888
Sussman, S. W., and W. S. Siegal. (2003) Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption.” Information Systems Research 14, 1, 47–65. https://doi.org/10.1287/isre.14.1.47.14767
Talarico, J. M., Berntsen, D., & Rubin, D. C. (2009). Positive emotions enhance recall of peripheral details. Cognition and Emotion, 23(2), 380-398. https://doi.org/10.1080%2F02699930801993999
TECNOBLOG, 2021. (https://tecnoblog.net/279054/como-ativar-o-dark-mode-do-android-pie-e-economizar-bateria/ consulted at Feb 03, 2021)
Verma, D. and Dewani, P.P. (2021), "eWOM credibility: a comprehensive framework and literature review", Online Information Review, Vol. 45 No. 3, pp. 481-500. https://doi.org/10.1108/OIR-06-2020-0263
Visentin, M., Pizzi, G. & Pichierri, M. (2019) Fake news, real problems for brands: The impact of content truthfulness and source credibility on consumers' behavioral intentions toward the advertised brands. Journal of Interactive Marketing, 45, 99-112. https://doi.org/10.1016/j.intmar.2018.09.001
Yang, C., Huang, T. E., & Shanks, D. R. (2018). Perceptual fluency affects judgments of learning: The font size effect. Journal of Memory and Language, 99(1), 99-110. https://doi.org/10.1016/J.JML.2017.11.005
Weissgerber, C. S., & Reinhard, M. A. (2017). Is disfluency desirable for learning? Learning and Instruction, 49, 199-217. https://doi.org/10.1016/J.LEARNINSTRUC.2017.02.004
Wu, Y., Ngai, E. W. T., Wu, P. & Wu, C. (2020). Fake online reviews: Literature review, synthesis, and directions for future research, Decision Support Systems, v132,113280, pp 1-15. https://doi.org/10.1016/j.dss.2020.113280
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