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The Social Computing Journal is a multidisciplinary publication at the forefront of social computing research. Our mission is to push the boundaries of understanding where computer science meets the social sciences. We cover topics such as social media analysis, human-computer interaction, collaborative technologies, crowd sourcing, data mining, big data, cloud computing, social commerce, artificial intelligence, machine learning, web 2.0, web 3.0, NLP, and more. Our diverse editorial team maintains high standards, publishing latest news, articles, research, interviews, stories to share cutting-edge insights. Researchers and practitioners worldwide are invited to contribute, collaborate, and stay updated with our work as we continue to explore the evolving field of social computing.