مشخصات مقاله | |
ترجمه عنوان مقاله | تبلیغات دروغین یا توهین آمیز؟ استفاده از توییت های مبتنی بر مکان برای ارزیابی قابلیت اطمینان رتبه بندی آنلاین |
عنوان انگلیسی مقاله | False advertising or slander? Using location based tweets to assess online rating-reliability |
انتشار | مقاله سال 2019 |
تعداد صفحات مقاله انگلیسی | 8 صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
پایگاه داده | نشریه الزویر |
نوع نگارش مقاله |
مقاله پژوهشی (Research Article) |
مقاله بیس | این مقاله بیس میباشد |
نمایه (index) | Scopus – Master Journals List – JCR |
نوع مقاله | ISI |
فرمت مقاله انگلیسی | |
ایمپکت فاکتور(IF) |
5.352 در سال 2018 |
شاخص H_index | 158 در سال 2019 |
شاخص SJR | 1.684 در سال 2018 |
شناسه ISSN | 0148-2963 |
شاخص Quartile (چارک) | Q1 در سال 2018 |
مدل مفهومی | دارد |
پرسشنامه | ندارد |
متغیر | دارد |
رفرنس | دارد |
رشته های مرتبط | مهندسی کامپیوتر، مهندسی فناوری اطلاعات، مدیریت |
گرایش های مرتبط | داده کاوی، اینترنت و شبکه های گسترده، بازاریابی |
نوع ارائه مقاله |
ژورنال |
مجله / کنفرانس | مجله تحقیقات کسب و کار-Journal of Business Research |
دانشگاه | Department of Marketing, Perdue School of Business, Salisbury University, Salisbury, MD 21801, United States |
کلمات کلیدی | داده بزرگ، توییت های آگاه از مکان، داده کاوی، سیاست های عمومی، بازاریابی دهان به دهان (WOM) الکترونیکی، رتبه بندی های آنلاین |
کلمات کلیدی انگلیسی | Big data، Location aware tweets، Data mining، Public policy، Electronic WOM، Online ratings |
شناسه دیجیتال – doi |
https://doi.org/10.1016/j.jbusres.2017.08.030 |
کد محصول | E12224 |
وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
فهرست مطالب مقاله: |
Abstract 1. Introduction 2. Methodology 3. Analysis and findings 4. Discussion and managerial implications 5. Limitations and future research References |
بخشی از متن مقاله: |
Abstract
Online reviews have diffused into a large variety of businesses, ranging from physical goods to services. The ubiquity of the reviews and the importance given to them by potential customers makes examining their validity extremely important. While good reviews can boost companies’ business, bad reviews can spell their doom. Since online reviews are anonymous, there are cases of both false advertising and slander that can create conflict. In this paper authors provide reasons for online rating bias and demonstrate a way to measure it. Authors mine consumer’s location aware tweets from business locations to capture a location’s pleasure score and compare the pleasure scores to Yelp ratings to determine how overrated or underrated the venue is. Foursquare and Twitter are mined to extract an emotion score from the location aware tweets using a dictionary called the Affective Norms for English Words (ANEW). Rating biases are found across cities and different types of restaurants and managerial and policy implications discussed. Introduction 2013 was witness to the conclusion of a year-long undercover investigation called “Operation Clean Turf” after which 19 companies in New York agreed to stop posting false online reviews for businesses and paid more than $350,000 in fines and penalties (Schneiderman, 2013). The incident brought to light the business of false consumer reviews, which affects consumer expectations and business reputations. Today the large majority of consumers read review websites before making purchase decisions, whether it be for buying a product or a service. Similarly, every organization that sells to or serves a consumer, expects to be reviewed online. Good reviews have become points of pride for businesses and are often displayed as badges similar to marks of honor. Hotels and restaurants that are rated highly by travel site “Tripadvisor” or “Yelp” proudly put a sticker outside their business locations demonstrating their popularity. These websites also give out free stickers to businesses which convince first time customers of the trustworthiness of a business, and encourage them to try out a new place. The rating score and sticker thus serve as a seal of approval, a symbol of trust and reliability. The growth of review sites has also fueled multiple controversies. |