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      한국어 언어분석 프로그램(KLIWC)을 이용한온라인 기만 사용후기 연구 = The study of online deceptive consumer reviews using KLIWC

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      https://www.riss.kr/link?id=A101801723

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      다국어 초록 (Multilingual Abstract)

      This study was performed to discover deception detectors using KLIWC(korean Linguistic Inquiry and Word Count) for detecting deception(faking) in online user reviews. The three studies were conducted to explore the deception detectors in online reviews. In study 1 and study 2, we compare deception reviews that imply intention of deception as the basic properties with real reviews in order to find deception detectors. Study 3 was conducted to find which deception detectors are in positive deceptions(positive reviews of unsatisfactory products) and negative deceptions( negative reviews of satisfied products). The differences between deception reviews and real reviews have been explored by each indicator because KLIWC provides independently 39 linguistic indicators and 44 psychological indicators. In all of three studies, it is commonly found that differences of the linguistic indicators between two conditional reviews are morpheme, common noun and postposition, and differences of psychological indicators are emotional or emotional processes, positive emotions, positive feeling, and feeling/perception process. Using ratios of these variables are higher in the deception reviews than in the real reviews. In Study 1 and Study 2, including deceptive intention, the different linguistic indicators that were found from both of two studies are sentence, syntactic word, morpheme, common noun, postposition, general an adverb, desinence, and estimation of nouns loanword. The different psychological indicators are Emotional or emotional processes, positive emotions, positive feeling, cognitive processes, confidence, sense/perceptual processes, social processes, communicate, family, home, body condition and symptoms. As above, they higher in the deception reviews than in the real reviews. There is possibility that these indicators are deception detector in the online reviews.
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      This study was performed to discover deception detectors using KLIWC(korean Linguistic Inquiry and Word Count) for detecting deception(faking) in online user reviews. The three studies were conducted to explore the deception detectors in online review...

      This study was performed to discover deception detectors using KLIWC(korean Linguistic Inquiry and Word Count) for detecting deception(faking) in online user reviews. The three studies were conducted to explore the deception detectors in online reviews. In study 1 and study 2, we compare deception reviews that imply intention of deception as the basic properties with real reviews in order to find deception detectors. Study 3 was conducted to find which deception detectors are in positive deceptions(positive reviews of unsatisfactory products) and negative deceptions( negative reviews of satisfied products). The differences between deception reviews and real reviews have been explored by each indicator because KLIWC provides independently 39 linguistic indicators and 44 psychological indicators. In all of three studies, it is commonly found that differences of the linguistic indicators between two conditional reviews are morpheme, common noun and postposition, and differences of psychological indicators are emotional or emotional processes, positive emotions, positive feeling, and feeling/perception process. Using ratios of these variables are higher in the deception reviews than in the real reviews. In Study 1 and Study 2, including deceptive intention, the different linguistic indicators that were found from both of two studies are sentence, syntactic word, morpheme, common noun, postposition, general an adverb, desinence, and estimation of nouns loanword. The different psychological indicators are Emotional or emotional processes, positive emotions, positive feeling, cognitive processes, confidence, sense/perceptual processes, social processes, communicate, family, home, body condition and symptoms. As above, they higher in the deception reviews than in the real reviews. There is possibility that these indicators are deception detector in the online reviews.

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      참고문헌 (Reference)

      1 목정수, "한국어 동사·어미 범부와 주어 인칭의 상관관계" 언어교육원 39 (39): 529-558, 2003

      2 이학식, "정보제공자와 정보수용자의 특성이 부정적 구전의 수용성에 미치는 영향" 5 (5): 33-44, 1994

      3 이은재, "인터넷쇼핑 이용후기 메시지의 신뢰평가와구매시점 및 구매 후 행동특성연구" 국제e-비즈니스학회 8 (8): 155-170, 2007

      4 전우영, "인터넷 쇼핑에서 사용후기가 제품에 대한 평가와 구매의도에 미치는 영향: 성차의 역할을 중심으로" 한국소비자·광고심리학회 7 (7): 113-129, 2006

      5 최인혁, "온라인(Online) 상에서의 제품유형에 따른 소비자의 브랜드 의존성" 한국유통학회 6 (6): 109-133, 2002

      6 劉海濱, "온라인 후기 게시판 신뢰 영향요인 연구 : 쇼핑몰과 사용자 특성을 중심으로" 영남대학교 대학원 2012

      7 박철, "온라인 소비자 구전에 대한 내용분석:사이트 유형과 제품유형에 따른 차이를 중심으로" 한국방송광고공사 (70) : 91-118, 2006

      8 유은진, "온라인 사용후기가 제품에 대한 태도와 구매의도 변화에 미치는 영향 : 브랜드력, 정보의 방향성, 정보의 동의성을 중심으로" 연세대학교 대학원 2008

      9 정수연, "온라인 구전에 관한 내용 분석: 몰유형과 제품유형에 따른 차이를 중심으로" 497-505, 2005

      10 김지영, "상품후기 작성자에 대해 상품후기 독자가 느끼는 유사성이 상품후기 독자에게 미치는 영향" 한국경영정보학회 18 (18): 67-90, 2008

      1 목정수, "한국어 동사·어미 범부와 주어 인칭의 상관관계" 언어교육원 39 (39): 529-558, 2003

      2 이학식, "정보제공자와 정보수용자의 특성이 부정적 구전의 수용성에 미치는 영향" 5 (5): 33-44, 1994

      3 이은재, "인터넷쇼핑 이용후기 메시지의 신뢰평가와구매시점 및 구매 후 행동특성연구" 국제e-비즈니스학회 8 (8): 155-170, 2007

      4 전우영, "인터넷 쇼핑에서 사용후기가 제품에 대한 평가와 구매의도에 미치는 영향: 성차의 역할을 중심으로" 한국소비자·광고심리학회 7 (7): 113-129, 2006

      5 최인혁, "온라인(Online) 상에서의 제품유형에 따른 소비자의 브랜드 의존성" 한국유통학회 6 (6): 109-133, 2002

      6 劉海濱, "온라인 후기 게시판 신뢰 영향요인 연구 : 쇼핑몰과 사용자 특성을 중심으로" 영남대학교 대학원 2012

      7 박철, "온라인 소비자 구전에 대한 내용분석:사이트 유형과 제품유형에 따른 차이를 중심으로" 한국방송광고공사 (70) : 91-118, 2006

      8 유은진, "온라인 사용후기가 제품에 대한 태도와 구매의도 변화에 미치는 영향 : 브랜드력, 정보의 방향성, 정보의 동의성을 중심으로" 연세대학교 대학원 2008

      9 정수연, "온라인 구전에 관한 내용 분석: 몰유형과 제품유형에 따른 차이를 중심으로" 497-505, 2005

      10 김지영, "상품후기 작성자에 대해 상품후기 독자가 느끼는 유사성이 상품후기 독자에게 미치는 영향" 한국경영정보학회 18 (18): 67-90, 2008

      11 김종률, "범죄수사와 심리학: 범죄자 유형파악과 형사피의자에 대한 행동분석" 2001

      12 이현선, "구전으로서 온라인 사용 후기의 효과에 관한 연구" 한국PR학회 8 (8): 234-268, 2004

      13 조은경, "거짓말의 특징과 탐지" 한국심리학회 21 (21): 33-65, 2002

      14 Pennebaker, James W., "Words of wisdom: Language use over the lifespan" 85 : 291-301, 2003

      15 Brown, Jo, "Word of mouth communication within online communities: Conceptualizing the online social network" 21 (21): 2-20, 2007

      16 Fogg, B. J., "Web credibility research: A method for online experiments and early study results" 295-296, 2001

      17 Smith, Donnavieve Nicole, "Trust Me, Would I Steer You Wrong? The Influence of Peer Recommendations Within Virtual Communities" University of Illinois at Chicago 2002

      18 Porter, Stephen, "The language of deceit: An investigation of the verbal clues to deception in the interrogation context" 20 : 443-458, 1996

      19 Hancock, Jeffrey T, "The Oxford handbook of Internet psychology" Oxford University Press 287-301, 2007

      20 Ekman, Paul, "Telling lies. Clues to deceit in the marketplace, politics, and marriage" W. W. Norton & Company 1992

      21 Knapp, Mark L., "Telling it like it isn’t: A review of theory and research on deceptive communications" 5 : 270-285, 1979

      22 Raskin, David C., "Statement validity assessment: Interview procedures and content analysis of children’s statements of sexual abuse" 12 : 265-291, 1991

      23 Sapir, Avinoam, "Scientific Content Analysis. Phoenix: Laboratory for Scientific Interrogation"

      24 Johnson, Marcia K, "Reality monitoring" 88 : 67-85, 1981

      25 Preview new media age, "Online customer reviews important to regular travellers"

      26 Schindler, Robert M., "Online consumer psychology: understanding and influencing behavior in the virtual world" Lawrence Erlbaum Associates 35-61, 2005

      27 Smith, Donnavieve Nicole, "Online Peer and Editorial Recommendations, Trust, and Choice in Virtual Markets" 19 (19): 15-37, 2005

      28 Hancock, Jeffrey T., "On Lying and Being Lied To: A Linguistic Analysis of Deception in Computer-Mediated Communication" 45 (45): 1-23, 2008

      29 Ickes, William, "Machiavellianismand self-monitoring: As different as “me” and “you”" 4 : 58-74, 1986

      30 Newman, Matthew L., "Lying Words: Predicting Deception from Linguistic Style" 29 : 665-675, 2003

      31 Hancock, Jeffrey T., "Language use in computer-mediated communication: The role of coordination devices" 31 : 91-110, 2001

      32 Bond, Gary D, "Language of lies in prison: Linguistic classification of prisoners’ truthful and deceptive natural language" 19 : 313-329, 2005

      33 Rabon, Don, "Investigative discourse analysis" Carolina Academic Press 1994

      34 Buller, David B, "Interpersonal deception theory" 6 : 203-242, 1996

      35 Bickart, Barbara, "Internet forums as influential sources of consumer information" 15 (15): 31-40, 2001

      36 Rudacille, Wendell C, "Identifying lies in disguise" Kendall/Hunt 1994

      37 McGuire, William J., "Handbook of social psychology" Addison-Wesley 136-314, 1968

      38 Ott, Myle, "Finding deceptive opinion spam by any stretch of the imagination" Association for Computational Linguistics 309-319, 2011

      39 Bhatnagar, Parija, "Fake reviews on the Web…caveat emptor"

      40 Bristor, Julia M, "Enhanced Explanations of Word-of mouth Communications: The Power of Relationships" 4 : 51-83, 1990

      41 Hennig-Thurau, Thorsten, "Electronic Word-of-Mouth: Motives for and Consequences of Reading Customer Articulations on the Internet" 8 : 51-74, 2004

      42 Burgoon, Judee K, "Does participation affect deception success? A test of the interactivity principle" 27 : 503-534, 2001

      43 McKnight, D. Harrison, "Developing and Validating Trust Measures for ECommerce: An Integrative Typology" 13 (13): 334-359, 2002

      44 Vrij, A., "Detecting lies and deceit: The psychology of lying and the implications for professional practice" Wiley 2000

      45 Vrij, A., "Detecting lies and deceit: Pitfalls and opportunities" Wiley 2008

      46 Burgoon, Judee K, "Detecting deception through linguistic analysis" 2665 : 958-, 2003

      47 Little, Ayron, "Detecting Deception in Testimony" 13-18, 2008

      48 Aaker, David A, "Deceptive advertising, Con sumerism: search for the consumer interest" The Free Press 137-156, 1974

      49 Carlson, John R., "Deception in Computer-Mediated Communication" 13 : 5-28, 2004

      50 Vartapetiance, A., "Deception Detection for the Tangled Web" (Special Issue) : 2012

      51 DePaulo, Bella M., "Cues to deception" 129 : 74-118, 2003

      52 Zhou, L., "Cues to Deception in Online Chinese Groups" 2008

      53 Vrij, A., "Criteria-based content analysis: A qualitative review of the first 37 studies" 11 : 3-41, 2005

      54 Undeutsch, Udo, "Credibility assessment" Kluwer 101-119, 1989

      55 Schiffman, Leon G, "Consumer behavior" Prentice Hall 2000

      56 Yoo, K. H., "Comparison of Deceptive and Truthful Travel Reviews" 2009 : 37-47, 2009

      57 Donath, Judith S, "Communities in Cyberspace" Routledge 29-59, 1999

      58 Adams, Susan H, "Communication under stress: Indicators of veracity and deception in written narratives" Virginia Polytechnic Institute and State University 2002

      59 Skillicorn, David B, "Beyond Keyword Filtering for Message and Conversation Detection" 231-243, 2005

      60 Zhou, L., "Automated Linguistics Based Cues for Detecting Deception in Text-based Asynchronous Computer-Mediated Communication" 13 : 81-106, 2004

      61 Sparkman, Richard M., Jr., "Attribution theory and advertising Effectiveness" 7 : 219-224, 1980

      62 Salo, Jaro, "A conceptual model of trust in the online environment" 31 (31): 604-621, 2007

      63 Zhou, L., "A comparison of classification methods for predicting deception in computermediated communication" 20 : 139-165, 2004

      64 Lee, Matthew K. O., "A Trust Model for Consumer Internet Shopping" 6 (6): 75-91, 2001

      65 임종원, "A Study of the Factors Influencing WOM Effects in Online Environments" 한국마케팅학회 8 (8): 59-77, 2007

      66 한국인터넷진흥원, "2011년 인터넷 이용실태 조사"

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