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Knowledge generation and sharing in online communities: current trends and future directions
1University of Maryland, United States.
Online communities facilitate knowledge sharing, driven by altruism and reciprocity. Platform features and offline social dynamics influence information accuracy and user behavior, making community knowledge dynamics crucial for decision-making.
Area of Science:
- Social Sciences
- Information Science
- Communication Studies
Background:
- Online communities foster open knowledge exchange through technology and communication platforms.
- Individuals share information voluntarily, motivated by altruism, ownership, belonging, and reciprocity.
- Platform affordances like openness and collaborative filtering shape online interactions and information quality.
Purpose of the Study:
- To understand knowledge generation, sharing, and understanding within online communities.
- To analyze the impact of platform features and offline social processes on information quality.
- To investigate how online communities serve as a knowledge source influencing decision-making.
Main Methods:
- Analysis of knowledge exchange dynamics in online communities.
- Examination of factors influencing information sharing and accuracy.
- Investigation of the interplay between technological affordances and social processes.
Main Results:
- Technological advancements enable widespread knowledge sharing in online communities.
- Both platform design (affordances) and persistent offline social processes (homophily, social influence) impact information quality.
- Online community knowledge significantly affects user decision-making.
Conclusions:
- Understanding the complex dynamics of knowledge in online communities is essential.
- The integration of platform features and social behaviors shapes the reliability of shared information.
- Online communities are critical knowledge hubs requiring further study for informed decision-making.
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