Detecting fake reviews through topic modelling
| dc.contributor.author | Sule Ozturk Birim | |
| dc.contributor.author | Ipek Kazancoglu | |
| dc.contributor.author | Sachin Kumar Mangla | |
| dc.contributor.author | Aysun Kahraman | |
| dc.contributor.author | Satish Kumar | |
| dc.contributor.author | Yigit Kazancoglu | |
| dc.contributor.author | Kumar Mangla, Sachin | |
| dc.contributor.author | Kazancoglu, Ipek | |
| dc.contributor.author | Kazancoglu, Yigit | |
| dc.contributor.author | Birim, Sule Ozturk | |
| dc.contributor.author | Kumar, Satish | |
| dc.contributor.author | Mangla, Sachin Kumar | |
| dc.contributor.author | Kahraman, Aysun | |
| dc.date | OCT | |
| dc.date.accessioned | 2025-10-06T16:23:33Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | Against the uncertainty caused by the information overload in the online world consumers can benefit greatly by reading online product reviews before making their online purchases. However some of the reviews are written deceptively to manipulate purchasing decisions. The purpose of present study is to determine which feature combination is most effective in fake review detection among the features of sentiment scores topic distributions cluster distributions and bag of words. In this study additional feature combinations to a sentiment analysis are searched to examine the critical problem of fake reviews made to influence the decision-making process using review from amazon.com dataset. Results of the study points that behavior-related features play an important role in fake review classifications when jointly used with text-related features. Verified purchase is the only behavior related feature used comparatively with other text-related features. | |
| dc.identifier.doi | 10.1016/j.jbusres.2022.05.081 | |
| dc.identifier.issn | 0148-2963 | |
| dc.identifier.issn | 1873-7978 | |
| dc.identifier.scopus | 2-s2.0-85131937192 | |
| dc.identifier.uri | http://dx.doi.org/10.1016/j.jbusres.2022.05.081 | |
| dc.identifier.uri | https://gcris.yasar.edu.tr/handle/123456789/7908 | |
| dc.identifier.uri | https://doi.org/10.1016/j.jbusres.2022.05.081 | |
| dc.language.iso | English | |
| dc.publisher | ELSEVIER SCIENCE INC | |
| dc.relation.ispartof | Journal of Business Research | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.source | JOURNAL OF BUSINESS RESEARCH | |
| dc.subject | Machine learning techniques, Fake online reviews, Natural language processing (NLP), Online retailing, Purchasing decision | |
| dc.subject | WORD-OF-MOUTH, SOCIAL MEDIA, ASSISTING CONSUMERS, NEURAL-NETWORKS, ONLINE, SENTIMENT, NEWS, COMMUNICATION, DECEPTION, HELPFULNESS | |
| dc.subject | Natural Language Processing (NLP) | |
| dc.subject | Fake Online Reviews | |
| dc.subject | Online Retailing | |
| dc.subject | Machine Learning Techniques | |
| dc.subject | Purchasing Decision | |
| dc.title | Detecting fake reviews through topic modelling | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| gdc.author.id | Öztürk Birim, Şule/0000-0001-7544-8588 | |
| gdc.author.id | Kazancoglu, Yigit/0000-0001-9199-671X | |
| gdc.author.id | Kumar, Satish/0000-0001-5200-1476 | |
| gdc.author.scopusid | 36598380300 | |
| gdc.author.scopusid | 57208575060 | |
| gdc.author.scopusid | 15848066400 | |
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| gdc.author.scopusid | 55735821600 | |
| gdc.author.scopusid | 57992552600 | |
| gdc.author.wosid | Kazancoglu, Ipek/LGY-6982-2024 | |
| gdc.author.wosid | Kumar, Satish/M-8694-2017 | |
| gdc.author.wosid | Öztürk Birim, Şule/A-1246-2017 | |
| gdc.author.wosid | Kazancoglu, Yigit/E-7705-2015 | |
| gdc.author.wosid | Mangla, Sachin/B-7605-2017 | |
| gdc.author.wosid | Kahraman, Aysun/AAH-8790-2020 | |
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| gdc.description.department | ||
| gdc.description.departmenttemp | [Birim, Sule Ozturk] Manisa Celal Bayar Univ, Salihli Fac Econ & Adm Sci, Dept Business Adm, Manisa, Turkey; [Kazancoglu, Ipek] Ege Univ, Dept Business Adm, Fac Econ & Adm Sci, Izmir, Turkey; [Mangla, Sachin Kumar] O P Jindal Global Univ, Res Ctr Digital Circular Econ Sustainable Dev Goa, Jindal Global Business Sch, Sonipat, Haryana, India; [Kahraman, Aysun] Manisa Celal Bayar Univ, Salihli Fac Econ & Adm Sci, Dept Business Adm, Manisa, Turkey; [Kumar, Satish] Malaviya Natl Inst Technol Jaipur, Dept Management Studies, Jaipur, Rajasthan, India; [Kazancoglu, Yigit] Yasar Univ, Dept Logist Management, TR-35100 Izmir, Turkey; [Kumar, Satish] Swinburne Univ Technol, Fac Business Design & Arts, Jalan Simpang Tiga, Sarawak, Malaysia | |
| gdc.description.endpage | 900 | |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| gdc.description.startpage | 884 | |
| gdc.description.volume | 149 | |
| gdc.description.woscitationindex | Social Science Citation Index | |
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| gdc.oaire.keywords | Purchasing decision | |
| gdc.oaire.keywords | Fake online reviews | |
| gdc.oaire.keywords | Deception | |
| gdc.oaire.keywords | Word-Of-Mouth | |
| gdc.oaire.keywords | Communication | |
| gdc.oaire.keywords | Helpfulness | |
| gdc.oaire.keywords | Online retailing | |
| gdc.oaire.keywords | News | |
| gdc.oaire.keywords | Natural language processing (NLP) | |
| gdc.oaire.keywords | Assisting Consumers | |
| gdc.oaire.keywords | Neural-Networks | |
| gdc.oaire.keywords | Sentiment | |
| gdc.oaire.keywords | Online | |
| gdc.oaire.keywords | Machine learning techniques | |
| gdc.oaire.keywords | Social Media | |
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| gdc.oaire.sciencefields | 05 social sciences | |
| gdc.oaire.sciencefields | 0502 economics and business | |
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| gdc.virtual.author | Kazançoğlu, Yiğit | |
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| person.identifier.orcid | Ozturk Birim- Sule/0000-0001-7544-8588, Kazancoglu- Yigit/0000-0001-9199-671X, Kumar- Satish/0000-0001-5200-1476, | |
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