Discourse Analysis of Online Product Reviews: A Discussion of Digital Consumerism and Culture

被引:2
|
作者
Park, Haseon [1 ]
Lee, Joonghwa [1 ]
机构
[1] Univ North Dakota, Dept Commun, Columbia Hall,Room 2370,501 N Columbia Rd, Grand Forks, ND 58202 USA
关键词
Digital consumerism; culture; online product reviews; discourse analysis; USER-GENERATED CONTENT; WORD-OF-MOUTH; POWER; SELF; INDIVIDUALISM; COLLECTIVISM; ORIENTATION; SALES;
D O I
10.5817/CP2019-2-4
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
This study focuses on consumer interaction via online product reviews in digital markets by incorporating intercultural perspective. In doing so, this study explores the representation of digital consumerism, defined as development of consumer empowerment and vulnerability in digital markets, which appears as a paradigm to ensure balanced market environments for both consumers and companies (Kucuk, 2016). In particular, this study investigates cultural differences in the representation of digital consumerism in online product reviews by comparing the online product reviews from U.S. and South Korea. Additionally, message strategies employed in the online product reviews were also examined in respect of digital consumerism while comparing the two cultures. A discourse analysis on a total of 400 online product reviews (i.e., 200 from U.S., 200 from South Korea) was conducted to understand how digital consumerism can be constructed. The results indicated significant cultural differences between the U.S. and South Korea based on online consumer powers manifested in the content of online product reviews as well as message strategies adopted to express digital consumerism. In the U.S., economic, technologic, and social power were more frequently observed in online product reviews compared to legal power; In contrast, in South Korea, economic power was the most frequently observed, followed by social and technologic power. In terms of message strategies, transformational messages were dominantly used to express digital consumerism in online product reviews from both countries, whereas each type of online consumer powers was expressed differently in the U.S. and South Korea by adopting different message strategies. Theoretical and practical implications are discussed.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Extracting Product Features from Online Reviews for Sentimental Analysis
    Song, Hui
    Fan, Yingxiang
    Liu, Xiaoqiang
    Tao, Dao
    2011 6TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND CONVERGENCE INFORMATION TECHNOLOGY (ICCIT), 2012, : 745 - 750
  • [22] Semantic Analysis and Helpfulness Prediction of Text for Online Product Reviews
    Yang, Yinfei
    Yan, Yaowei
    Qiu, Minghui
    Bao, Forrest Sheng
    PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2, 2015, : 38 - 44
  • [23] A novel approach for product competitive analysis based on online reviews
    Zhen He
    Lu Zheng
    Shuguang He
    Electronic Commerce Research, 2023, 23 : 2259 - 2290
  • [24] LEARN TO RANK: AUTOMATIC HELPFULNESS ANALYSIS OF ONLINE PRODUCT REVIEWS
    Jin, Jian
    Liu, Ying
    Harding, Jenny A.
    Fung, Richard Y. K.
    Loh, Han Tong
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, DETC 2010, VOL 3, A AND B, 2010, : 467 - +
  • [25] Ranking product aspects through sentiment analysis of online reviews
    Wang, Wei
    Wang, Hongwei
    Song, Yuan
    JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 2017, 29 (02) : 227 - 246
  • [26] A discourse analysis of trainee teacher identity in online discussion forums
    Irwin, Brian
    Hramiak, Alison
    TECHNOLOGY PEDAGOGY AND EDUCATION, 2010, 19 (03) : 361 - 377
  • [27] The impact of online reviews on product returns
    Li, Xiaofei
    Ma, Baolong
    Chu, Hongrui
    ASIA PACIFIC JOURNAL OF MARKETING AND LOGISTICS, 2021, 33 (08) : 1814 - 1828
  • [28] Frills and product pricing with online reviews
    Zhang, Yao
    Zhao, Cui
    Liang, Zhe
    COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 159
  • [29] Helpfulness Prediction of Online Product Reviews
    Haque, Md. Enamul
    Tozal, Mehmet Engin
    Islam, Aminul
    PROCEEDINGS OF THE ACM SYMPOSIUM ON DOCUMENT ENGINEERING (DOCENG 2018), 2018,
  • [30] Sequential Bias in Online Product Reviews
    Kapoor, Gaurav
    Piramuthu, Selwyn
    JOURNAL OF ORGANIZATIONAL COMPUTING AND ELECTRONIC COMMERCE, 2009, 19 (02) : 85 - 95