Reference: | 李欣欣. (2012). 广告中的模糊语言及其翻译 天津大学]. Agnihotri, A., & Bhattacharya, S. (2016). Online review helpfulness: Role of qualitative factors. Psychology & Marketing, 33(11), 1006-1017. Baek, H., Ahn, J., & Choi, Y. (2012). Helpfulness of online consumer reviews: Readers` objectives and review cues. International Journal of Electronic Commerce, 17(2), 99-126. Baek, H., Lee, S., Oh, S., & Ahn, J. (2015). Normative social influence and online review helpfulness: Polynomial modeling and response surface analysis. Journal of Electronic Commerce Research, 16(4), 290. Batra, R., & Stayman, D. M. (1990). The role of mood in advertising effectiveness. Journal of Consumer Research, 17(2), 203-214. Bavelas, J., Black, A., Chovil, N., & Mullett, J. (1990). (1990a). Equivocal communication. Newbury Park, CA: Sage. Berry, D. S., Pennebaker, J. W., Mueller, J. S., & Hiller, W. S. (1997). Linguistic bases of social perception. Personality and Social Psychology Bulletin, 23(5), 526- 537. Bracken, C. C. (2006). Perceived source credibility of local television news: The impact of television form and presence. Journal of Broadcasting & Electronic Media, 50(4), 723-741. Bradac, J. J., Bowers, J. W., & Courtright, J. A. (1979). Three language variables in communication research: Intensity, immediacy, and diversity. Human Communication Research, 5(3), 257-269. Brysbaert, M., Warriner, A. B., & Kuperman, V. (2014). Concreteness ratings for 40 thousand generally known English word lemmas. Behavior research methods, 46(3), 904-911. Cao, Q., Duan, W., & Gan, Q. (2011). Exploring determinants of voting for the “helpfulness” of online user reviews: A text mining approach. Decision Support Systems, 50(2), 511-521. Ceylan, G., Diehl, K., & Proserpio, D. (2021). Words Meet Photos: When and Why Visual Content Increases Review Helpfulness. Available at SSRN. Channell, J. (1994). ’Vague Language’,(Describing English Language Series) Oxford University Press. In: Oxford. Chatterjee, P. (2001). Online reviews: do consumers use them? Chen, M.-Y. (2016). Can two-sided messages increase the helpfulness of online reviews? Online Information Review. Chen, M.-Y., Teng, C.-I., & Chiou, K.-W. (2019). The helpfulness of online reviews: 40 Images in review content and the facial expressions of reviewers’ avatars. Online Information Review. Chen, Y., & Xie, J. (2008). Online consumer review: Word-of-mouth as a new element of marketing communication mix. Management science, 54(3), 477- 491. Cheung, C. M.-Y., Sia, C.-L., & Kuan, K. K. (2012). Is this review believable? A study of factors affecting the credibility of online consumer reviews from an ELM perspective. Journal of the Association for Information Systems, 13(8), 2. Chua, A. Y., & Banerjee, S. (2015). Understanding review helpfulness as a function of reviewer reputation, review rating, and review depth. Journal of the Association for Information Science and Technology, 66(2), 354-362. Clow, K. E., James, K. E., Kranenburg, K. E., & Berry, C. T. (2008). An examination of the visual element used in generic message advertisements: A comparison of goods and services. Services Marketing Quarterly, 30(1), 69-84. Creyer, E. H., Bettman, J. R., & Payne, J. W. (1990). The impact of accuracy and effort feedback and goals on adaptive decision behavior. Journal of Behavioral Decision Making, 3(1), 1-16. Crowley, A. E., & Hoyer, W. D. (1994). An integrative framework for understanding two-sided persuasion. Journal of Consumer Research, 20(4), 561-574. Ding, M. A., Chen, S. S., Wang, X. S., & Bendle, N. (2021). Show Me You Or the Goods? Effect of Image Content on Review Helpfulness. ACR North American Advances. Eisend, M. (2006). Two-sided advertising: A meta-analysis. International Journal of Research in Marketing, 23(2), 187-198. Eisend, M. (2007). Understanding two‐sided persuasion: An empirical assessment of theoretical approaches. Psychology & Marketing, 24(7), 615-640. Fan, L., & Zhang, X. (2020). The combination signaling effect of text and image on mobile phone review helpfulness-the moderating effect of signaling environment. IEEE Access, 8, 122736-122746. Fan, W. (2021). What makes consumer perception of online review helpfulness: synthesizing the past to guide future research. Proceedings of the 54th Hawaii International Conference on System Sciences, Fang, B., Ye, Q., Kucukusta, D., & Law, R. (2016). Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics. Tourism Management, 52, 498-506. Filieri, R. (2016). What makes an online consumer review trustworthy? Annals of Tourism Research, 58, 46-64. 41
Filieri, R., Hofacker, C. F., & Alguezaui, S. (2018). What makes information in online consumer reviews diagnostic over time? The role of review relevancy, factuality, currency, source credibility and ranking score. Computers in Human Behavior, 80, 122-131. Filieri, R., McLeay, F., Tsui, B., & Lin, Z. (2018). Consumer perceptions of information helpfulness and determinants of purchase intention in online consumer reviews of services. Information & Management, 55(8), 956-970. Filieri, R., Raguseo, E., & Vitari, C. (2018). When are extreme ratings more helpful? Empirical evidence on the moderating effects of review characteristics and product type. Computers in Human Behavior, 88, 134-142. Fogg, B. J., & Tseng, H. (1999). The elements of computer credibility. Proceedings of the SIGCHI conference on Human Factors in Computing Systems, Fouladfar, F., Dehkordi, M. N., & Basiri, M. E. (2020). Predicting the helpfulness score of product reviews using an evidential score fusion method. IEEE Access, 8, 82662-82687. Gao, B., Hu, N., & Bose, I. (2017). Follow the herd or be myself? An analysis of consistency in behavior of reviewers and helpfulness of their reviews. Decision Support Systems, 95, 1-11. Gerdt, S.-O., Wagner, E., & Schewe, G. (2019). The relationship between sustainability and customer satisfaction in hospitality: An explorative investigation using eWOM as a data source. Tourism Management, 74, 155- 172. Ghose, A., & Ipeirotis, P. G. (2010). Estimating the helpfulness and economic impact of product reviews: Mining text and reviewer characteristics. IEEE transactions on knowledge and data engineering, 23(10), 1498-1512. Gottschalk, S. A., & Mafael, A. (2017). Cutting through the online review jungle— investigating selective eWOM processing. Journal of Interactive Marketing, 37, 89-104. Grether, D. M., & Plott, C. R. (1979). Economic theory of choice and the preference reversal phenomenon. The American Economic Review, 69(4), 623-638. Guo, B., & Zhou, S. (2017). What makes population perception of review helpfulness: an information processing perspective. Electronic Commerce Research, 17(4), 585-608. Hansen, J., & Wänke, M. (2010). Truth from language and truth from fit: The impact of linguistic concreteness and level of construal on subjective truth. Personality and Social Psychology Bulletin, 36(11), 1576-1588. Haugtvedt, C. P., & Petty, R. E. (1992). Personality and persuasion: Need for cognition moderates the persistence and resistance of attitude changes. Journal 42
of personality and social psychology, 63(2), 308. Hochmeister, M., Gretzel, U., & Werthner, H. (2013). Destination expertise in online travel communities. In Information and communication technologies in tourism 2013 (pp. 218-229). Springer. Hong, H., Xu, D., Wang, G. A., & Fan, W. (2017). Understanding the determinants of online review helpfulness: A meta-analytic investigation. Decision Support Systems, 102, 1-11. Hu, Y.-H., & Chen, K. (2016). Predicting hotel review helpfulness: The impact of review visibility, and interaction between hotel stars and review ratings. International Journal of Information Management, 36(6), 929-944. Huang, A. H., Chen, K., Yen, D. C., & Tran, T. P. (2015). A study of factors that contribute to online review helpfulness. Computers in Human Behavior, 48, 17-27. Hunt, J. M., & Smith, M. F. (1987). The persuasive impact of two-sided selling appeals for an unknown brand name. Journal of the Academy of Marketing Science, 15(1), 11-18. Jiang, J., Gretzel, U., & Law, R. (2014). Influence of star rating and ownership structure on brand image of mainland China hotels. Journal of China Tourism Research, 10(1), 69-94. Jindal, N., & Liu, B. (2006a). Identifying comparative sentences in text documents. Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, Jindal, N., & Liu, B. (2006b). Mining comparative sentences and relations. Aaai, Johnson, E. J., & Payne, J. W. (1985). Effort and accuracy in choice. Management science, 31(4), 395-414. Kahneman, D. (1973). Attention and effort (Vol. 1063). Citeseer. Kalakota, R., & Whinston, A. B. (1997). Electronic commerce: a manager`s guide. Addison-Wesley Professional. Kang, Y., & Zhou, L. (2019). Helpfulness assessment of online reviews: The role of semantic hierarchy of product features. ACM Transactions on Management Information Systems (TMIS), 10(3), 1-18. Karimi, S., & Wang, F. (2017). Online review helpfulness: Impact of reviewer profile image. Decision Support Systems, 96, 39-48. Kim, M., & Lennon, S. (2008). The effects of visual and verbal information on attitudes and purchase intentions in internet shopping. Psychology & Marketing, 25(2), 146-178. Korfiatis, N., García-Bariocanal, E., & Sánchez-Alonso, S. (2012). Evaluating content quality and helpfulness of online product reviews: The interplay of review 43
helpfulness vs. review content. Electronic Commerce Research and Applications, 11(3), 205-217. Korfiatis, N., Rodriguez, D., & Sicilia, M.-A. (2008). The impact of readability on the usefulness of online product reviews: a case study on an online bookstore. World Summit on Knowledge Society, Kwok, L., & Xie, K. L. (2016). Factors contributing to the helpfulness of online hotel reviews: does manager response play a role? International Journal of Contemporary Hospitality Management. Lee, H.-H. (2012). Attributes of online review systems: An environmental design perspective. Journal of Global Fashion Marketing, 3(4), 158-171. Lee, M., Kwon, W., & Back, K.-J. (2021). Artificial intelligence for hospitality big data analytics: developing a prediction model of restaurant review helpfulness for customer decision-making. International Journal of Contemporary Hospitality Management. Lee, M., Rodgers, S., & Kim, M. (2009). Effects of valence and extremity of eWOM on attitude toward the brand and website. Journal of Current Issues & Research in Advertising, 31(2), 1-11. Lee, S., & Choeh, J. Y. (2018). The interactive impact of online word-of-mouth and review helpfulness on box office revenue. Management Decision. Lee, S., Lee, S., & Baek, H. (2021). Does the dispersion of online review ratings affect review helpfulness? Computers in Human Behavior, 117, 106670. Li, M., Huang, L., Tan, C.-H., & Wei, K.-K. (2013). Helpfulness of online product reviews as seen by consumers: Source and content features. International Journal of Electronic Commerce, 17(4), 101-136. Li, M.-X., Huang, L., Tan, C.-H., & Wei, K.-K. (2011). Assessing the helpfulness of online product review: a progressive experimental approach. Li, S., Zhang, Y., Yu, Z., & Liu, F. (2021). Economical user-generated content (UGC) marketing for online stores based on a fine-grained joint model of the consumer purchase decision process. Electronic Commerce Research, 21(4), 1083-1112. Li, S.-T., Pham, T.-T., & Chuang, H.-C. (2019). Do reviewers’ words affect predicting their helpfulness ratings? Locating helpful reviewers by linguistics styles. Information & Management, 56(1), 28-38. Li, Y., & Xie, Y. (2020). Is a picture worth a thousand words? An empirical study of image content and social media engagement. Journal of Marketing Research, 57(1), 1-19. Lin, T. M., Lu, K. Y., & Wu, J. J. (2012). The effects of visual information in eWOM communication. Journal of research in interactive marketing. 44
Liu, J., Cao, Y., Lin, C.-Y., Huang, Y., & Zhou, M. (2007). Low-quality product review detection in opinion summarization. Proceedings of the 2007 joint conference on empirical methods in natural language processing and computational natural language learning (EMNLP-CoNLL), Liu, Y., & Hu, H.-f. (2021). Online review helpfulness: the moderating effects of review comprehensiveness. International Journal of Contemporary Hospitality Management. Lutz, B., Pröllochs, N., & Neumann, D. (2018). Understanding the role of two-sided argumentation in online consumer reviews: A language-based perspective. arXiv preprint arXiv:1810.10942. Ma, Y., Xiang, Z., Du, Q., & Fan, W. (2018). Effects of user-provided photos on hotel review helpfulness: An analytical approach with deep leaning. International Journal of Hospitality Management, 71, 120-131. Maity, A. K., & Paul, E. (2022). Jeffreys Prior for Negative Binomial and Zero Inflated Negative Binomial Distributions. Sankhya A, 1-15. Mayweg-Paus, E., & Jucks, R. (2018). Conflicting evidence or conflicting opinions? Two-sided expert discussions contribute to experts’ trustworthiness. Journal of Language and Social Psychology, 37(2), 203-223. Mayzlin, D., Dover, Y., & Chevalier, J. (2014). Promotional reviews: An empirical investigation of online review manipulation. American Economic Review, 104(8), 2421-2455. McFadden, D., Machina, M. J., & Baron, J. (1999). Rationality for economists? In Elicitation of preferences (pp. 73-110). Springer. McKenzie, P. J., Burkell, J., Wong, L., Whippey, C., Trosow, S. E., & McNally, M. B. (2012). User-generated online content 1: Overview, current state and context. First Monday. Mudambi, S. M., & Schuff, D. (2010). Research note: What makes a helpful online review? A study of customer reviews on Amazon. com. MIS quarterly, 185- 200. Nakayama, M., Sutcliffe, N., & Wan, Y. (2010). Has the web transformed experience goods into search goods? Electronic Markets, 20(3), 251-262. Nowak, K. L., & McGloin, R. (2014). The influence of peer reviews on source credibility and purchase intention. Societies, 4(4), 689-705. Osterbrink, L., Alpar, P., & Seher, A. (2020). Influence of Images in Online Reviews for Search Goods on Helpfulness. Review of Marketing Science, 18(1), 43-73. Packard, G., & Berger, J. (2021). How concrete language shapes customer satisfaction. Journal of Consumer Research, 47(5), 787-806. Paivio, A. (1969). Mental imagery in associative learning and memory. Psychological 45
review, 76(3), 241. Pan, Y., & Zhang, J. Q. (2011). Born unequal: a study of the helpfulness of user- generated product reviews. Journal of retailing, 87(4), 598-612. Park, J., Yi, Y., & Kang, D. (2019). The effects of one-sided vs. two-sided review valence on electronic word of mouth (e-WOM): the moderating role of sponsorship presence. Asia Marketing Journal, 21(2), 1-19. Payne, J. W., Payne, J. W., Bettman, J. R., & Johnson, E. J. (1993). The adaptive decision maker. Cambridge university press. Peng, C.-H., Yin, D., & Zhang, H. (2020). More than words in medical question-and- answer sites: A content-context congruence perspective. Information Systems Research, 31(3), 913-928. Pennebaker, J. W., & King, L. A. (1999). Linguistic styles: language use as an individual difference. Journal of personality and social psychology, 77(6), 1296. Punj, G. (2011). Effect of consumer beliefs on online purchase behavior: The influence of demographic characteristics and consumption values. Journal of Interactive Marketing, 25(3), 134-144. Qazi, A., Raj, R. G., Tahir, M., Cambria, E., & Syed, K. B. S. (2014). Enhancing business intelligence by means of suggestive reviews. The Scientific World Journal, 2014. Qazi, A., Syed, K. B. S., Raj, R. G., Cambria, E., Tahir, M., & Alghazzawi, D. (2016). A concept-level approach to the analysis of online review helpfulness. Computers in Human Behavior, 58, 75-81. Ransbotham, S., Lurie, N. H., & Liu, H. (2019). Creation and consumption of mobile word of mouth: how are mobile reviews different? Marketing Science, 38(5), 773-792. Ruiz-Mafe, C., Bigné-Alcañiz, E., & Currás-Pérez, R. (2020). The effect of emotions, eWOM quality and online review sequence on consumer intention to follow advice obtained from digital services. Journal of Service Management, 31(3), 465-487. Salehan, M., & Kim, D. J. (2016). Predicting the performance of online consumer reviews: A sentiment mining approach to big data analytics. Decision Support Systems, 81, 30-40. Schlosser, A. E. (2011). Can including pros and cons increase the helpfulness and persuasiveness of online reviews? The interactive effects of ratings and arguments. Journal of Consumer Psychology, 21(3), 226-239. Semin, G. R., & Fiedler, K. (1988). The cognitive functions of linguistic categories in describing persons: Social cognition and language. Journal of personality and 46
social psychology, 54(4), 558. Simon, H. A. (1955). A behavioral model of rational choice. The quarterly journal of economics, 69(1), 99-118. Snead, K. C., Magal, S. R., Christensen, L. F., & Ndede-Amadi, A. A. (2015). Attribution theory: a theoretical framework for understanding information systems success. Systemic Practice and Action Research, 28(3), 273-288. Srivastava, V., & Kalro, A. D. (2019). Enhancing the helpfulness of online consumer reviews: the role of latent (content) factors. Journal of Interactive Marketing, 48, 33-50. Thompson, M. M., Zanna, M. P., & Griffin, D. W. (1995). Let’s not be indifferent about (attitudinal) ambivalence. Attitude strength: Antecedents and consequences, 4, 361-386. Timoshenko, A., & Hauser, J. R. (2019). Identifying customer needs from user- generated content. Marketing Science, 38(1), 1-20. Tyler, S. W., Hertel, P. T., McCallum, M. C., & Ellis, H. C. (1979). Cognitive effort and memory. Journal of Experimental Psychology: Human Learning and Memory, 5(6), 607. Uribe, R., Buzeta, C., & Velásquez, M. (2016). Sidedness, commercial intent and expertise in blog advertising. Journal of Business Research, 69(10), 4403- 4410. Wan, Y. (2013). The Matthew effect in online review helpfulness. International Conference on Electronic Commerce, Wang, G., Liu, X., & Fan, W. (2011). A knowledge adoption model based framework for finding helpful user-generated contents in online communities. Wang, Y., Zhong, K., & Liu, Q. (2022). Let criticism take precedence: Effect of side order on consumer attitudes toward a two-sided online review. Journal of Business Research, 140, 403-419. Wu, P. F., Van der Heijden, H., & Korfiatis, N. (2011). The influences of negativity and review quality on the helpfulness of online reviews. International conference on information systems, Xiao, Q., Siponen, M., Zhang, X., Lu, F., Chen, S.-h., & Mao, M. (2022). Impacts of platform design on consumer commitment and online review intention: does use context matter in dual-platform e-commerce? Internet Research. Xu, P., Chen, L., & Santhanam, R. (2015). Will video be the next generation of e- commerce product reviews? Presentation format and the role of product type. Decision Support Systems, 73, 85-96. Xu, Q. (2014). Should I trust him? The effects of reviewer profile characteristics on eWOM credibility. Computers in Human Behavior, 33, 136-144. 47
Yang, S., Yao, J., & Qazi, A. (2020). Does the review deserve more helpfulness when its title resembles the content? Locating helpful reviews by text mining. Information Processing & Management, 57(2), 102179. Yang, S., Zhou, Y., Yao, J., Chen, Y., & Wei, J. (2019). Understanding online review helpfulness in omnichannel retailing. Industrial Management & Data Systems. Zhang, X., & Wang, L. (2019). The Research on Effects of Information Content Quality and Consumer Knowledge on Online Review Helpfulness from Readers’ Perspectives. JOURNAL OF SIMULATION, 7(4), 37. Zhou, S., & Guo, B. (2017). The order effect on online review helpfulness: A social influence perspective. Decision Support Systems, 93, 77-87. |