Managing information in the case of opinion spamming
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Design, User Experience, and Usability. Interaction Design - 9th International Conference, DUXU 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings. ed. / Aaron Marcus; Elizabeth Rosenzweig. Cham: Springer, 2020. p. 370-384 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12200 LNCS).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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RIS
TY - CHAP
T1 - Managing information in the case of opinion spamming
AU - Ge, Liping
AU - Voß, Stefan
N1 - Conference code: 9
PY - 2020/8
Y1 - 2020/8
N2 - The rapid innovation of information and communication technology (ICT) within the last decades has come along with the development of new opportunities and challenges, new business models, new systems, etc. Companies like Amazon, Google or Alibaba shape business functions and percolate our daily life. Business operations go hand in hand with new types of user experiences when buying goes different than just traditional ways. Often it is not only the buying behavior but also the way recommendations are perceived as they may be readily available. This relates to opinion mining and, unfortunately, opinion spamming. We survey the issue of opinion spamming and fake review detection and focus on both sides of fake review groups, i.e., how to detect such groups but also how to set up a group that might be undetected with current methods. As both directions go hand in hand we elaborate on learning in both directions with the aim to improve related methods.
AB - The rapid innovation of information and communication technology (ICT) within the last decades has come along with the development of new opportunities and challenges, new business models, new systems, etc. Companies like Amazon, Google or Alibaba shape business functions and percolate our daily life. Business operations go hand in hand with new types of user experiences when buying goes different than just traditional ways. Often it is not only the buying behavior but also the way recommendations are perceived as they may be readily available. This relates to opinion mining and, unfortunately, opinion spamming. We survey the issue of opinion spamming and fake review detection and focus on both sides of fake review groups, i.e., how to detect such groups but also how to set up a group that might be undetected with current methods. As both directions go hand in hand we elaborate on learning in both directions with the aim to improve related methods.
KW - Digital innovation
KW - Digital transformation
KW - Information management
KW - Opinion spamming
KW - Business informatics
KW - Informatics
UR - http://www.scopus.com/inward/record.url?scp=85088748443&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-49713-2_26
DO - 10.1007/978-3-030-49713-2_26
M3 - Article in conference proceedings
AN - SCOPUS:85088748443
SN - 9783030497125
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 370
EP - 384
BT - Design, User Experience, and Usability. Interaction Design - 9th International Conference, DUXU 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
A2 - Marcus, Aaron
A2 - Rosenzweig, Elizabeth
PB - Springer
CY - Cham
T2 - 9th International Conference on Design, User Experience, and Usability, DUXU 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Y2 - 19 July 2020 through 24 July 2020
ER -