Individuals need to collaborate virtually across distributed locations, especially after the outbreak of COVID-19. Different from traditional small virtual teams with fixed team members, online communities are cyberspaces enabled by information and communication technologies (ICTs) that afford online interactions and digital collaboration among mass crowds. By connecting distributed individuals, online communities are characterized by decentralized interactions and anonymous participation.
As a peer-to-peer(P2P) communication channel, online communities facilitate distributed collaboration among individuals with diverse experiences. Optimal use of crowd wisdom makes knowledge innovation and challenge-solving possible. However, crowds are sometimes irrational and emotional while gathering together; mechanisms should thus be built to avoid mass collaboration that spread misleading information, such as rumors and fake news in online digital spaces. Consequently, it is important to explore different user behaviors in digital collaboration processes and the corresponding psychological mechanisms in online communities to facilitate better digital collaboration.
Furthermore, the growing popularity of advanced techniques, such as Metaverse, digital twins, extended reality, blockchain, and artificial intelligence (AI), bring new opportunities and challenges to digital collaboration in different online communities. For example, 3D online communities afford better immersive experiences, and digital collaboration theories in traditional 2D online communities should be extended or modified. Individuals should adapt to the new form of digital collaboration while collaborating with AI in online communities. Therefore, we call for ongoing conceptual and empirical explorations on ICTs-enabled mass collaboration and user behaviors in the continuously evolving online communities.
Submissions related to the following topics are particularly welcome but not limited to:
- Digital collaboration in the 3D virtual world.
- Big data analytics for user interactions in cyberspaces.
- Trust and privacy issues in online communities.
- Individual preferences in online communities.
- Human-AI interactions in online communities.
- Social network analysis about online communities.
- Knowledge sharing and withholding in online communities.
- Interactions in online communities with live streaming functions.
- Information dissemination patterns in virtual communities.
Individuals need to collaborate virtually across distributed locations, especially after the outbreak of COVID-19. Different from traditional small virtual teams with fixed team members, online communities are cyberspaces enabled by information and communication technologies (ICTs) that afford online interactions and digital collaboration among mass crowds. By connecting distributed individuals, online communities are characterized by decentralized interactions and anonymous participation.
As a peer-to-peer(P2P) communication channel, online communities facilitate distributed collaboration among individuals with diverse experiences. Optimal use of crowd wisdom makes knowledge innovation and challenge-solving possible. However, crowds are sometimes irrational and emotional while gathering together; mechanisms should thus be built to avoid mass collaboration that spread misleading information, such as rumors and fake news in online digital spaces. Consequently, it is important to explore different user behaviors in digital collaboration processes and the corresponding psychological mechanisms in online communities to facilitate better digital collaboration.
Furthermore, the growing popularity of advanced techniques, such as Metaverse, digital twins, extended reality, blockchain, and artificial intelligence (AI), bring new opportunities and challenges to digital collaboration in different online communities. For example, 3D online communities afford better immersive experiences, and digital collaboration theories in traditional 2D online communities should be extended or modified. Individuals should adapt to the new form of digital collaboration while collaborating with AI in online communities. Therefore, we call for ongoing conceptual and empirical explorations on ICTs-enabled mass collaboration and user behaviors in the continuously evolving online communities.
Submissions related to the following topics are particularly welcome but not limited to:
- Digital collaboration in the 3D virtual world.
- Big data analytics for user interactions in cyberspaces.
- Trust and privacy issues in online communities.
- Individual preferences in online communities.
- Human-AI interactions in online communities.
- Social network analysis about online communities.
- Knowledge sharing and withholding in online communities.
- Interactions in online communities with live streaming functions.
- Information dissemination patterns in virtual communities.