【摘要】：【目的】購物網(wǎng)站評論系統(tǒng)中的投票機制有利于幫助消費者篩選出高質(zhì)量評論。本文以評論有用性投票數(shù)為研究對象,探討什么樣的評論更容易獲得有用性投票�！痉椒ā恳孕畔⒉杉{理論和負(fù)面偏差理論為基礎(chǔ),基于亞馬遜購物網(wǎng)站中的12 393條手機評論數(shù)據(jù),結(jié)合文本分析與零膨脹負(fù)二項回歸分析方法,從評論者信度、評論信息質(zhì)量、評論極性三個方面探究評論有用性投票影響因素�！窘Y(jié)果】研究結(jié)果表明,評論者有用性、評論信息量、評論回復(fù)數(shù)、極端評分、評論文本消極傾向?qū)υu論有用性投票數(shù)具有積極正向影響。評論者發(fā)表評論數(shù)、評論者是否確認(rèn)購買對評論有用性投票數(shù)有負(fù)向影響。【局限】僅以手機這一搜索型產(chǎn)品為研究對象,研究結(jié)果欠缺普適性�！窘Y(jié)論】本文研究成果對于改善電子商務(wù)評論排序系統(tǒng)具有借鑒意義。
[Abstract]:Objective: the voting mechanism in the review system of shopping websites helps consumers to screen out high-quality reviews. This paper takes the number of useful votes for comment as the research object, and discusses what kind of comment is easier to obtain the useful vote. [methods] based on the theory of information adoption and the theory of negative bias, Based on 12 393 mobile phone review data from Amazon shopping website, combining text analysis and zero inflation negative binomial regression analysis, this paper analyzes the reliability of the reviewer and the quality of the comment information. [results] the results showed that the reviewers' usefulness, the amount of comment information, the number of comment responses, the extreme score, The negative tendency of comment text has a positive effect on the number of useful votes. The number of comments made by the reviewer, whether the reviewer confirmed that the purchase had a negative impact on the number of votes on the usefulness of the review. [conclusion] the research results of this paper can be used for reference to improve the ranking system of electronic commerce reviews.
【作者單位】： 武漢大學(xué)信息管理學(xué)院;武漢大學(xué)電子商務(wù)研究與發(fā)展中心;
【基金】：國家自然科學(xué)基金項目“創(chuàng)新2.0超網(wǎng)絡(luò)中知識流動和群集交互的協(xié)同研究”(項目編號:71373194)的研究成果之一
【分類號】：F713.36
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本文編號：2219835