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首页> 外文期刊>Journal of Business Research >False advertising or slander? Using location based tweets to assess online rating-reliability
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False advertising or slander? Using location based tweets to assess online rating-reliability

机译：虚假的广告或诽谤？使用基于位置的推文评估在线额定值可靠性

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摘要

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.
机译：在线评论已经扩散成各种各样的企业，从物理商品到服务。潜在客户的审查和重要性的审查和重要性使其有效性非常重要。虽然良好的评论可以提高公司的业务，但是拼命拼命的厄运。由于在线评论是匿名的，因此有些案例既可以创造冲突的虚假广告和诽谤。在本文中，作者提供了在线评定偏差的原因，并展示了一种衡量它的方法。作者挖掘消费者的位置意识到业务位置的推文捕获一个位置的快乐分数，并比较越来越多的评分，以确定场地的高估或低估。采用Foursquare和Twitter以使用名为Choftive Requs为英语单词（重新）的情感规范的字典从地点意识推文中提取情绪评分。在城市和不同类型的餐馆和管理和政策影响中发现了评级偏差。

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