TY - JOUR
T1 - Sharing reputation data across online communities
AU - Allahbakhsh, Mohammad
AU - Amintoosi, Haleh
AU - Dustdar, Schahram
AU - Motahari-Nezhad, Hamid-Reza
PY - 2022
Y1 - 2022
N2 - Today, people are often members of several online communities, leaving their footprints scattered across cyberspace in the form of local reputations. Collecting these reputation data to build a global reputation becomes increasingly necessary. This article proposes a new perspective on the topic of sharing reputation data across online communities. We discuss the notion of global reputation, propose a taxonomy for reputation data sharing and use it to briefly study the related literature, and identify and discuss some of the key challenges towards reputation data sharing. To encourage future research, we also propose a conceptual model for global personalized reputation management.
AB - Today, people are often members of several online communities, leaving their footprints scattered across cyberspace in the form of local reputations. Collecting these reputation data to build a global reputation becomes increasingly necessary. This article proposes a new perspective on the topic of sharing reputation data across online communities. We discuss the notion of global reputation, propose a taxonomy for reputation data sharing and use it to briefly study the related literature, and identify and discuss some of the key challenges towards reputation data sharing. To encourage future research, we also propose a conceptual model for global personalized reputation management.
UR - http://www.scopus.com/inward/record.url?scp=85125694349&partnerID=8YFLogxK
U2 - 10.1109/MIC.2022.3155065
DO - 10.1109/MIC.2022.3155065
M3 - Article
AN - SCOPUS:85125694349
SN - 1089-7801
VL - 26
SP - 60
EP - 67
JO - IEEE Internet Computing
JF - IEEE Internet Computing
IS - 4
ER -