{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T11:06:15Z","timestamp":1779361575858,"version":"3.51.4"},"reference-count":83,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T00:00:00Z","timestamp":1779321600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JTAER"],"abstract":"<jats:p>Online reviews are increasingly pivotal in consumer decision-making, with platforms employing mechanisms such as badges to denote reviewer credibility. Although prior research has examined the influence of expert reviewers, it has typically treated badge holders as a homogeneous group, overlooking how variation in tenure within expert tiers shapes the way readers process review content. This article examines how Yelp Elite badge tenure, operationalized as Red (1\u20134 years), Gold (5\u20139 years), and Black (10+ years) tiers and treated as a proxy for accumulated platform-recognized expertise, moderates the effects of peripheral cues (Extremity, Length) and central cues (Readability, Subjectivity, and Plutchik\u2019s eight emotions) on perceived helpfulness within an Elaboration Likelihood Model (ELM) framework. The analysis draws on the full population of 324,426 restaurant reviews authored by Yelp Elite badge holders between 2019 and 2021, using a pooled count-model specification with badge tier as a categorical moderator. The primary specification is estimated using Poisson quasi-maximum likelihood with HC1-robust standard errors, and full negative binomial estimation is reported as a robustness check. Wald tests indicate that badge tenure significantly moderates eight of twelve cue\u2013helpfulness relationships (\u03c72(24)=4938, p&lt;0.001). The effect of readability is monotonically positive and increases sharply with tenure, while the effect of joy varies across tenure groups. These findings suggest that reviewer expertise signals are not monolithic, refining theoretical insights on how tenure-based credibility cues moderate cue processing and offering practical implications for review platform management. The findings also indicate that platforms applying uniform ranking or surfacing rules across all Elite reviewers risk misallocating visibility, and that tenure-conditional weighting of textual cues warrants consideration.<\/jats:p>","DOI":"10.3390\/jtaer21050158","type":"journal-article","created":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T09:29:58Z","timestamp":1779355798000},"page":"158","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Badge Tenure as a Moderator of Review Cues: An Elaboration Likelihood Model Perspective on Yelp\u2019s Elite Reviewers"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0173-8846","authenticated-orcid":false,"given":"Youngju","family":"Cho","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering, Yonsei University, Yonsei St. 50, Seodaemun-gu, Seoul 03722, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junyoung","family":"Yoo","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Yonsei University, Yonsei St. 50, Seodaemun-gu, Seoul 03722, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6343-7419","authenticated-orcid":false,"given":"Joon-Woo","family":"Yoo","sequence":"additional","affiliation":[{"name":"Korea Institute for Defense Analyses, 37, Hoegi-ro, Dongdaemun-gu, Seoul 02455, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4349-7697","authenticated-orcid":false,"given":"Heejun","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Yonsei University, Yonsei St. 50, Seodaemun-gu, Seoul 03722, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,5,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"113292","DOI":"10.1016\/j.jbusres.2022.08.056","article-title":"A meta-analysis of antecedents and consequences of eWOM credibility: Investigation of moderating role of culture and platform type","volume":"154","author":"Verma","year":"2023","journal-title":"J. Bus. Res."},{"key":"ref_2","first-page":"51","article-title":"E-WOM: The effects of online consumer reviews on purchasing decisions","volume":"7","author":"Bayram","year":"2012","journal-title":"Int. J. Internet Mark. Advert."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Constantinides, E., and Holleschovsky, N.I. (2016, January 23\u201325). Impact of online product reviews on purchasing decisions. Proceedings of the 12th International Conference on Web Information Systems and Technologies (WEBIST 2016), Rome, Italy.","DOI":"10.5220\/0005861002710278"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.intmar.2018.11.001","article-title":"It\u2019s not just what you say, but how you say it: The effect of language style matching on perceived quality of consumer reviews","volume":"46","author":"Liu","year":"2019","journal-title":"J. Interact. Mark."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.jretai.2023.12.001","article-title":"Dynamic relationship changes between reviewers and consumers in online product reviews","volume":"100","author":"Moon","year":"2024","journal-title":"J. Retail."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Park, J., and Park, H. (2025). Understanding the Impact of Inconsistency on the Helpfulness of Online Reviews. J. Theor. Appl. Electron. Commer. Res., 20.","DOI":"10.3390\/jtaer20020080"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Lee, W., and Park, J. (2026). Disconfirmation Dynamics in Service Recovery: Insights from Online Customer Reviews. J. Theor. Appl. Electron. Commer. Res., 21.","DOI":"10.3390\/jtaer21020045"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1513","DOI":"10.1007\/s10796-022-10299-w","article-title":"How review quality and source credibility interacts to affect review usefulness: An expansion of the elaboration likelihood model","volume":"25","author":"Aghakhani","year":"2023","journal-title":"Inf. Syst. Front."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1111\/gean.12149","article-title":"Fast food data: Where user-generated content works and where it does not","volume":"50","author":"Folch","year":"2018","journal-title":"Geogr. Anal."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"53","DOI":"10.4067\/S0718-18762017000100005","article-title":"Intentions to Use the Yelp Review Website and Purchase Behavior after Reading Reviews","volume":"12","author":"Fogel","year":"2017","journal-title":"J. Theor. Appl. Electron. Commer. Res."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1945","DOI":"10.3390\/jtaer16060109","article-title":"Responding to Negative Electronic Word of Mouth to Improve Purchase Intention","volume":"16","author":"Zinko","year":"2021","journal-title":"J. Theor. Appl. Electron. Commer. Res."},{"key":"ref_12","first-page":"168","article-title":"Detecting social commerce: An empirical analysis on Yelp","volume":"21","author":"Qiu","year":"2020","journal-title":"J. Electron. Commer. Res."},{"key":"ref_13","unstructured":"Luca, M. (2016). Reviews, reputation, and revenue: The case of Yelp.com. Harvard Business School NOM Unit Working Paper, Harvard Business School. No. 12-016."},{"key":"ref_14","first-page":"37","article-title":"Online word of mouth: Characteristics of Yelp.com reviews","volume":"2","author":"Tucker","year":"2011","journal-title":"Elon J. Undergrad. Res. Commun."},{"key":"ref_15","first-page":"267","article-title":"Is this opinion leader\u2019s review useful? Peripheral cues for online review helpfulness","volume":"15","author":"Zhu","year":"2014","journal-title":"J. Electron. Commer. Res."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.tourman.2015.05.007","article-title":"Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth","volume":"51","author":"Filieri","year":"2015","journal-title":"Tour. Manag."},{"key":"ref_17","first-page":"1","article-title":"What makes a review voted? An empirical investigation of review voting in online review systems","volume":"16","author":"Kuan","year":"2015","journal-title":"J. Assoc. Inf. Syst."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"237","DOI":"10.17705\/1thci.00206","article-title":"Mixed messages: An examination of reviewer badges and consumer trust with online review platforms","volume":"16","author":"Hess","year":"2024","journal-title":"AIS Trans. Hum.-Comput. Interact."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Petty, R.E., and Cacioppo, J.T. (1986). The Elaboration Likelihood Model of Persuasion, Springer.","DOI":"10.1007\/978-1-4612-4964-1_1"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"3003","DOI":"10.3390\/jtaer16070164","article-title":"Consumer marketing strategy and e-commerce in the last decade: A literature review","volume":"16","author":"Raimundo","year":"2021","journal-title":"J. Theor. Appl. Electron. Commer. Res."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/j.ijhm.2018.11.002","article-title":"Making restaurant reviews useful and\/or enjoyable? The impacts of temporal, explanatory, and sensory cues","volume":"83","author":"Li","year":"2019","journal-title":"Int. J. Hosp. Manag."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2176","DOI":"10.1108\/EJM-06-2013-0291","article-title":"The impact of text product reviews on sales","volume":"48","author":"Moon","year":"2014","journal-title":"Eur. J. Mark."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1016\/j.jbusres.2020.12.001","article-title":"A big data exploration of the informational and normative influences on the helpfulness of online restaurant reviews","volume":"125","author":"Meek","year":"2021","journal-title":"J. Bus. Res."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1080\/10864415.2020.1715528","article-title":"Will you ever trust the review website again? The importance of source credibility","volume":"24","author":"Hsieh","year":"2020","journal-title":"Int. J. Electron. Commer."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1111\/j.1083-6101.2011.01551.x","article-title":"\u201cHighly recommended!\u201d The content characteristics and perceived usefulness of online consumer reviews","volume":"17","author":"Willemsen","year":"2011","journal-title":"J. Comput.-Mediat. Commun."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/j.ijresmar.2022.07.001","article-title":"Investigating the effect of status changes in review platforms","volume":"40","author":"Tamaddoni","year":"2023","journal-title":"Int. J. Res. Mark."},{"key":"ref_27","first-page":"2609","article-title":"The impact of online reviews on hotel ratings through the lens of elaboration likelihood model: A text mining approach","volume":"17","author":"Guo","year":"2023","journal-title":"KSII Trans. Internet Inf. Syst."},{"key":"ref_28","unstructured":"Li, B., Hou, F., Guan, Z., Chong, A.Y.L., and Pu, X. (2017, January 16\u201320). Evaluating online review helpfulness based on elaboration likelihood model: The moderating role of readability. Proceedings of the PACIS 2017, Langkawi, Malaysia."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s10796-020-10069-6","article-title":"An investigation of peripheral and central cues of online customer review voting and helpfulness through the lens of elaboration likelihood model","volume":"24","author":"Mousavizadeh","year":"2022","journal-title":"Inf. Syst. Front."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1124","DOI":"10.1037\/apl0000003","article-title":"The persuasive power of emotions: Effects of emotional expressions on attitude formation and change","volume":"100","author":"Heerdink","year":"2015","journal-title":"J. Appl. Psychol."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Jiang, H., Zhou, C., Zheng, J., and Yang, S. (2022). Predicting review helpfulness in the omnichannel retailing context: An elaboration likelihood model perspective. Front. Psychol., 13.","DOI":"10.3389\/fpsyg.2022.958386"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Heider, F. (1958). The Psychology of Interpersonal Relations, Wiley.","DOI":"10.1037\/10628-000"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1037\/h0034225","article-title":"The processes of causal attribution","volume":"28","author":"Kelley","year":"1973","journal-title":"Am. Psychol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1080\/03637758709390214","article-title":"Validation and measurement of the fundamental themes of relational communication","volume":"54","author":"Burgoon","year":"1995","journal-title":"Commun. Monogr."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1007\/BF02894421","article-title":"Source effects in communication and persuasion research: A meta-analysis of effect size","volume":"21","author":"Wilson","year":"2014","journal-title":"J. Acad. Mark. Sci."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"847","DOI":"10.1037\/0022-3514.41.5.847","article-title":"Personal involvement as a determinant of argument-based persuasion","volume":"41","author":"Petty","year":"1981","journal-title":"J. Pers. Soc. Psychol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1111\/j.1559-1816.2004.tb02547.x","article-title":"The persuasiveness of source credibility: A critical review of five decades\u2019 evidence","volume":"34","author":"Pornpitakpan","year":"2004","journal-title":"J. Appl. Soc. Psychol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1111\/j.1467-8721.2009.01633.x","article-title":"How emotions regulate social life: The emotions as social information (EASI) model","volume":"18","year":"2009","journal-title":"Curr. Dir. Psychol. Sci."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/S0065-2601(10)42002-X","article-title":"An interpersonal approach to emotion in social decision making: The emotions as social information model","volume":"42","author":"Manstead","year":"2010","journal-title":"Adv. Exp. Soc. Psychol."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1287","DOI":"10.1007\/s10796-020-10030-7","article-title":"Online review consistency matters: An elaboration likelihood model perspective","volume":"23","author":"Aghakhani","year":"2021","journal-title":"Inf. Syst. Front."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.chb.2018.05.042","article-title":"When are extreme ratings more helpful? Empirical evidence on the moderating effects of review characteristics and product type","volume":"88","author":"Filieri","year":"2018","journal-title":"Comput. Hum. Behav."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.dss.2018.06.012","article-title":"Which online reviews do consumers find most helpful? A multi-method investigation","volume":"113","author":"Eslami","year":"2018","journal-title":"Decis. Support Syst."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1007\/s10660-018-9310-2","article-title":"What makes a helpful online review? A meta-analysis of review characteristics","volume":"19","author":"Wang","year":"2019","journal-title":"Electron. Commer. Res."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"113403","DOI":"10.1016\/j.dss.2020.113403","article-title":"An empirical investigation of online review helpfulness: A big data perspective","volume":"139","author":"Choi","year":"2020","journal-title":"Decis. Support Syst."},{"key":"ref_45","first-page":"221","article-title":"Does the length of a review matter in perceived helpfulness? The moderating role of product experience","volume":"16","author":"Jia","year":"2022","journal-title":"J. Res. Interact. Mark."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"103748","DOI":"10.1016\/j.jretconser.2024.103748","article-title":"What are the significant determinants of helpfulness of online review? An exploration across product-types","volume":"78","author":"Ganguly","year":"2024","journal-title":"J. Retail. Consum. Serv."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1193","DOI":"10.1002\/cb.2277","article-title":"Looking for negativity! How review sentiment and review subjectivity form review helpfulness across cultures","volume":"23","author":"Shah","year":"2024","journal-title":"J. Consum. Behav."},{"key":"ref_48","first-page":"43","article-title":"The effects of sentiment and readability on useful votes for customer reviews with count type review usefulness index","volume":"22","author":"Cruz","year":"2016","journal-title":"J. Intell. Inf. Syst."},{"key":"ref_49","unstructured":"Withall, A., and Sagi, E. (2021, January 26\u201329). The impact of readability on trust in information. Proceedings of the Annual Meeting of the Cognitive Science Society, Vienna, Austria."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"114144","DOI":"10.1016\/j.dss.2023.114144","article-title":"How profanity influences perceived authenticity and perceived helpfulness of online reviews: The moderating role of review subjectivity","volume":"178","author":"Lie","year":"2024","journal-title":"Decis. Support Syst."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1086\/346251","article-title":"Sympathy and empathy: Emotional responses to advertising dramas","volume":"29","author":"Escalas","year":"2003","journal-title":"J. Consum. Res."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1108\/JCM-02-2017-2109","article-title":"Does expressing subjectivity in online reviews enhance persuasion?","volume":"35","author":"Liu","year":"2018","journal-title":"J. Consum. Mark."},{"key":"ref_53","first-page":"177","article-title":"Assessing restaurant review helpfulness through big data: Dual-process and social influence theory","volume":"12","author":"Kwon","year":"2021","journal-title":"J. Hosp. Tour. Technol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.chb.2017.03.053","article-title":"Helpfulness of product reviews as a function of discrete positive and negative emotions","volume":"73","author":"Malik","year":"2017","journal-title":"Comput. Hum. Behav."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1002\/mar.20660","article-title":"In search of negativity bias: An empirical study of perceived helpfulness of online reviews","volume":"30","author":"Wu","year":"2013","journal-title":"Psychol. Mark."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1016\/j.ijhm.2018.08.007","article-title":"More than words: Do emotional content and linguistic style matching matter on restaurant review helpfulness?","volume":"77","author":"Wang","year":"2019","journal-title":"Int. J. Hosp. Manag."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"9511","DOI":"10.1038\/s41598-023-36201-5","article-title":"Experiments on real-life emotions challenge Ekman\u2019s model","volume":"13","author":"Coppini","year":"2023","journal-title":"Sci. Rep."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1177\/053901882021004003","article-title":"A psycho evolutionary theory of emotions","volume":"21","author":"Plutchik","year":"1982","journal-title":"Soc. Sci. Inf."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Mohsin, M.A., and Beltiukov, A. (2019, January 28\u201329). Summarizing emotions from text using Plutchik\u2019s Wheel of Emotions. Proceedings of the 7th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2019), Ufa, Russia.","DOI":"10.2991\/itids-19.2019.52"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"891","DOI":"10.1177\/0956797611413294","article-title":"Arousal increases social transmission of information","volume":"22","author":"Berger","year":"2011","journal-title":"Psychol. Sci."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"35553","DOI":"10.1007\/s11042-019-08328-z","article-title":"A review of emotion sensing: Categorization models and algorithms","volume":"79","author":"Wang","year":"2020","journal-title":"Multimed. Tools Appl."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"663","DOI":"10.2466\/pr0.103.3.663-681","article-title":"Anger and associated experiences of sadness, fear, valence, arousal, and dominance evoked by visual scenes","volume":"103","author":"Javela","year":"2008","journal-title":"Psychol. Rep."},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Liu, Z., Xu, A., Guo, Y., Mahmud, J.U., Liu, H., and Akkiraju, R. (2018, January 21\u201326). Seemo: A computational approach to see emotions. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, Montreal, QC, Canada.","DOI":"10.1145\/3173574.3173938"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"288","DOI":"10.3182\/20130811-5-US-2037.00049","article-title":"Emotion detection in HCI: From speech features to emotion space","volume":"46","author":"Hartmann","year":"2013","journal-title":"IFAC Proc. Vol."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1425","DOI":"10.1016\/j.ipm.2018.04.003","article-title":"Examining the relationship between specific negative emotions and the perceived helpfulness of online reviews","volume":"56","author":"Ren","year":"2019","journal-title":"Inf. Process. Manag."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1037\/0022-3514.67.3.525","article-title":"Pleasure-arousal theory and the intensity of emotions","volume":"67","author":"Reisenzein","year":"1994","journal-title":"J. Pers. Soc. Psychol."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1080\/10864415.2016.1061471","article-title":"How do expressed emotions affect the helpfulness of a product review? Evidence from reviews using latent semantic analysis","volume":"20","author":"Ahmad","year":"2015","journal-title":"Int. J. Electron. Commer."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"102266","DOI":"10.1016\/j.ipm.2020.102266","article-title":"Examining the influence of emotional expressions in online consumer reviews on perceived helpfulness","volume":"57","author":"Chen","year":"2020","journal-title":"Inf. Process. Manag."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1016\/S0896-6273(01)00225-2","article-title":"Neural activity in the human brain relating to uncertainty and arousal during anticipation","volume":"29","author":"Critchley","year":"2001","journal-title":"Neuron"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1080\/10696679.2022.2148111","article-title":"Beyond stars: Role of discrete emotions on online consumer review helpfulness","volume":"32","author":"Srivastava","year":"2024","journal-title":"J. Mark. Theory Pract."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"106556","DOI":"10.1016\/j.chb.2020.106556","article-title":"Expressions of doubt and trust in online user reviews","volume":"114","author":"Evans","year":"2021","journal-title":"Comput. Hum. Behav."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"1719","DOI":"10.32604\/iasc.2022.019666","article-title":"The role of emotions intensity in helpfulness of online physician reviews","volume":"31","author":"Shah","year":"2022","journal-title":"Intell. Autom. Soft Comput."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"107501","DOI":"10.1016\/j.chb.2022.107501","article-title":"Examining the effects of negative emotions on review helpfulness: The moderating role of product price","volume":"139","author":"Xu","year":"2023","journal-title":"Comput. Hum. Behav."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"101436","DOI":"10.1016\/j.elerap.2024.101436","article-title":"The impact of high arousal and displeasure on online review helpfulness: Exploring the moderating role of product involvement","volume":"67","author":"Yun","year":"2024","journal-title":"Electron. Commer. Res. Appl."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"2274","DOI":"10.1016\/j.chb.2012.06.034","article-title":"Why people use Yelp.com: An exploration of uses and gratifications","volume":"28","author":"Hicks","year":"2012","journal-title":"Comput. Hum. Behav."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1080\/12460125.2020.1864106","article-title":"Sentiment classification and aspect-based sentiment analysis on Yelp reviews using deep learning and word embeddings","volume":"30","author":"Alamoudi","year":"2021","journal-title":"J. Decis. Syst."},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Syed, M.H., and Chung, S.T. (2021). MenuNER: Domain-adapted BERT based NER approach for a domain with limited dataset and its application to food menu domain. Appl. Sci., 11.","DOI":"10.3390\/app11136007"},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.dss.2016.09.016","article-title":"The order effect on online review helpfulness: A social influence perspective","volume":"93","author":"Zhou","year":"2017","journal-title":"Decis. Support Syst."},{"key":"ref_79","first-page":"269","article-title":"Textblob Documentation","volume":"2","author":"Loria","year":"2018","journal-title":"Release 0.15"},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"2766","DOI":"10.1890\/07-0043.1","article-title":"Quasi-Poisson vs. negative binomial regression: How should we model overdispersed count data?","volume":"88","author":"Boveng","year":"2007","journal-title":"Ecology"},{"key":"ref_81","unstructured":"Wooldridge, J.M. (2010). Econometric Analysis of Cross Section and Panel Data, MIT Press. [2nd ed.]."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1214\/aoms\/1177704711","article-title":"The future of data analysis","volume":"33","author":"Tukey","year":"1962","journal-title":"Ann. Math. Stat."},{"key":"ref_83","doi-asserted-by":"crossref","unstructured":"Wilcox, R.R. (2013). Introduction to Robust Estimation and Hypothesis Testing, Academic Press. [3rd ed.].","DOI":"10.1016\/B978-0-12-386983-8.00001-9"}],"container-title":["Journal of Theoretical and Applied Electronic Commerce Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/0718-1876\/21\/5\/158\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T10:26:23Z","timestamp":1779359183000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/0718-1876\/21\/5\/158"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,21]]},"references-count":83,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2026,5]]}},"alternative-id":["jtaer21050158"],"URL":"https:\/\/doi.org\/10.3390\/jtaer21050158","relation":{},"ISSN":["0718-1876"],"issn-type":[{"value":"0718-1876","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,21]]}}}