Social webconsciousness
Pages 3 - 8
Abstract
Social computing examines the interactions between users and media across diverse cultures. Currently the Internet is the most prominent example and has fostered the development of new social interaction paradigms. This paper surveys the research literature in social computing and connected media and then introduces an emerging area, social webconsciousness, which describes the experiential nature of social interactions over the Internet.
References
[1]
Basilico, J., Hofmann, T. 2004. Unifying Collaborative and Content-Based Filtering, In Proceedings of the International Conference on Machine Learning, Banff, Alberta, ACM, New York, New York, 9--16.
[2]
Berners-Lee, T. 2005. WWW at 15 years: Looking Forward. In Proceedings of ACM WWW 2005, ACM, New York, New York.
[3]
Berners-Lee, T., Cailliau, R., Luotonen, A., Nielsen, H., and Secret, A. 1994. The World Wide Web. Communications of the ACM, vol. 37, no. 8., ACM, New York, New York, 76--82.
[4]
Brown, A. R., Dillon, S., Kerr, T., Sorensen, A. 2009. Evolving Interactions: Agile Design for Networked Media Performance, In Proceedings of the Australian Computer Human Interaction Conference, Melbourne, Australia, ACM, New York, New York, 41--48.
[5]
Calvino, I. 1978. Invisible Cities. Mariner Books, New York, New York.
[6]
Calzada, G., Dekhtyar, A. 2010. On Measuring the Quality of Wikipedia Articles, In Proceedings of the Workshop on Information Credibility, Raleigh, North Carolina, ACM, New York, New York, 11--18.
[7]
Campos, L. M., Fernandez-Luna, J. M., Huete, J. F., Rueda-Morales, M. A. 2009. Measuring Predictive Capability in Collaborative Filtering, In Proceedings of ACM Conference on Recommender Systems, New York, New York, ACM, New York, New York, 313--316.
[8]
Carr, N. 2010. The Shallows. W.W. Norton & Company, New York, New York.
[9]
Carrington, P. J., Scott, J., Wasserman, S. 2005. Models and Methods in Social Network Analysis, Cambridge University Press, Cambridge, UK.
[10]
Choudhury, M., Sundaram, H., John, A., Seligmann, D. 2009. What Makes Conversations Interesting?: Themes, Participants and Consequences of Conversations in Online Social Media, In Proceedings of the International World Wide Web Conference, Madrid Spain, ACM, New York, New York, 331--340.
[11]
Davis, M. 2003. Theoretical Foundations for Experiential Systems Design, In Proceedings of the ACM Workshop on Experiential Telepresence, Berkeley, California, ACM, New York, New York, 45--52.
[12]
Ding, X., Liu, B., Yu, P. S. 2008. A Holistic Lexicon-Based Approach to Opinion Mining, In Proceedings of the International Conference on Web Search and Web Data Mining, Palo Alto, California, ACM, New York, New York, 231--240.
[13]
Duarte, P., Costa, C. J., Costa, P. 2008. Webstorm: Mixing Brainstorming in the Web to Produce Art, In Proceedings of the ACM International Conference on Design of Communication, Lisbon, Portugal, ACM, New York, New York, 267--268.
[14]
Esuli, A. 2008. Automatic Generation of Lexical Resources for Opinion Mining: Models, Algorithms, and Applications, ACM SIGIR Forum, vol. 42, no. 2, ACM, New York, New York, 105--106.
[15]
Fu, W. 2008. The Microstructures of Social Tagging: A Rational Model, In Proceedings of the ACM Conference on Computer Supported Cooperative Work, San Diego, California, ACM, New York, New York, 229--238.
[16]
Gong, B., Singh, R., Jain, R. 2004. Researchexplorer: Gaining Insights through Exploration in Multimedia Scientific Data, In Proceedings of the ACM International Workshop on Multimedia Information Retrieval, New York, New York, ACM, New York, New York, 7--14.
[17]
Hendler, J., Shadbolt, N., Hall, W., Berners-Lee, T. and Weitzner, D. 2008. Web Science: An Interdisciplinary Approach to Understanding the Web. Communications of the ACM, vol. 51, no. 7, ACM, New York, New York, 60--69.
[18]
Herlocker, J. L., Konstan, J. A., Terveen, L. G., Riedl, J. T. 2004. Evaluating Collaborative Filtering Recommender Systems, ACM TOIS, vol. 22, no. 1, ACM, New York, New York, 5--53.
[19]
Hiroshi, K., Tetsuya, N., Hideo, W. 2004. Deeper Sentiment Analysis Using Machine Translation Technology, In Proceedings of the International Conference on Computational Linguistics, Geneva, Switzerland, ACM, New York, New York, article no. 494.
[20]
Hu, M., Liu, B. 2004. Mining and Summarizing Customer Reviews, In Proceedings of ACM SIGKDD, Seattle, Washington, ACM, New York, New York, 713--719.
[21]
Huang, Z., Chen, H., Zeng, D. 2004. Applying Associative Retrieval Techniques to Alleviate the Sparsity Problem in Collaborative Filtering, ACM TOIS, vol. 22, no. 1, ACM, New York, New York, 116--142.
[22]
Huiskes, M. J., Thomee, B., Lew, M. S. 2010. New Trends and Ideas in Visual Concept Detection: The MIR FLICKR Retrieval Evaluation Initiative, In Proceedings of the ACM International Conference on Multimedia Information Retrieval, Philadelphia, Pennsylvania, ACM, New York, New York, 527--536.
[23]
Im, I., Hars, A. 2007. Does a One-Size Recommendation System Fit All? The Effectiveness of Collaborative Filtering Based Recommendation Systems Across Different Domains and Search Modes, ACM TOIS, vol. 26, no. 1, ACM, New York, New York, article no. 4.
[24]
Jain, R. 2003. Experiential Computing, Communications of the ACM, vol. 46, no. 7, ACM, New York, New York, 48--55.
[25]
Jain, R. 2003. Folk Computing, Communications of the ACM, vol. 46, no. 4, ACM, New York, New York, 27--29.
[26]
Jain, R. 2008. Multimedia Information Retrieval: Watershed Events. In Proceedings of ACM MIR 2008, Vancouver, Canada, ACM, New York, New York, 229--236.
[27]
Jiang, H., Carroll, J. M. 2009. Social Capital, Social Network and Identity Bonds: A Reconceptualization, In Proceedings of the International Conference on Communities and Technologies, University Park, Pennsylvania, ACM, New York, New York, 51--60.
[28]
Jin, W., Ho, H. H. 2009. A Novel Lexicalized HMM-Based Learning Framework for Web Opinion Mining, In Proceedings of the International Conference on Machine Learning, Montreal, Quebec, ACM, New York, New York, 465--472.
[29]
Kleinberg, J. 2008. The Convergence of Social and Technological Networks, Communications of the ACM, vol. 51, no. 11, ACM, New York, New York, 66--72.
[30]
Kohrs, A., Merialdo, B. 1999. Improving Collaborative Filtering with Multimedia Indexing Techniques to Create User-Adapting Web Sites, In Proceedings of the ACM International Conference on Multimedia, Orlando Florida, ACM, New York, New York, 27--36.
[31]
Leiner, B. M., Cerf, V. G., Clark, D. D., Kahn, R. F., Kleinrock, L., Lynch, D. C., Postel, J., Roberts, L. G., and Wolff, S. S. 1997. The Past and Future History of the Internet. Communications of the ACM, vol. 40, no. 2, ACM, New York, New York, 102--108.
[32]
Lew, M. S. 2000. Next Generation Web Searches for Visual Content. IEEE Computer, November, 2000, 46--53.
[33]
Lin, C., He, Y. 2009. Joint Sentiment/Topic Model for Sentiment Analysis, In Proceedings of the Conference on Information and Knowledge Management, Hong Kong, China, ACM, New York, New York, 375--384.
[34]
Markines, B., Cattuto, C., Menczer, F., Benz, D., Hotho, A., Stumme, G. 2009. Evaluating Similarity Measures for Emergent Semantics of Social Tagging, In Proceedings of the International World Wide Web Conference, Madrid Spain, ACM, New York, New York, 641--650.
[35]
Priedhorsky, R., Chen J., Lam, S. K., Panciera, K., Terveen, L., Riedl, J. 2007. Creating, Destroying, and Restoring Value in Wikipedia, In Proceedings of ACM SGW, Sannibel Island, Florida, ACM, New York, New York, 259--268.
[36]
Riehle, D. 2006. How and Why Wikipedia Works, In Proceedings of the International Symposium on Wikis, Odense, Denmark, ACM, New York, New York, 3--8.
[37]
Santos-Neto, E., Condon, D., Andrade, N., Iamnitch, A., Ripeanu, M. 2009. Individual and Social Behavior in Tagging Systems, In Proceedings of the ACM Conference on Hypertext and Hypermedia, Torino, Italy, ACM, New York, New York, 183--192.
[38]
Sawchuk, A. A., Chew, E., Zimmermann, R., Papadopoulos, C., Kyriakakis, C. 2003. From Remote Media Immersion to Distributed Immersive Performance, In Proceedings of the ACM Workshop on Experiential Telepresence, Berkeley, California, ACM, New York, New York, 110--120.
[39]
Schafer, J. B., Frankowski, D., Herlocker, J., Sen, S. 2007. Collaborative Filtering Recommender Systems, Springer Lecture Notes in Computer Science, vol. 4321, Berlin, 291--324.
[40]
Sebe, N., Lew, M. S. 2003. Robust Computer Vision: Theory and Applications, Kluwer Academic Publishers, New York, New York.
[41]
Sebe, N., Lew, M. S. 2001. Color-Based Retrieval. Pattern Recognition Letters, vol. 22, no. 2, 223--230.
[42]
Sebe, N., Lew, M. S. 2001. Salient Points for Content-Based Retrieval, In Proceedings of the British Machine Vision Conference, Manchester, UK, 401--410.
[43]
Sebe, N., Lew, M. S., Smeulders, A. W. M. 2003. Video Retrieval and Summarization, Computer Vision and Image Understanding, vol. 92, no. 2, 141--146.
[44]
Shirky, C. 2010. Cognitive Surplus: Creativity and Generosity in a Connected Age. Penguin Press, New York, New York.
[45]
Small, G. W., Moody, T. D., Siddarth, P., Bookheimer, S. Y. 2009. Your Brain on Google: Patterns of Cerebral Activation During Internet Searching. American Journal of Geriatric Psychiatry, vol. 17, no. 2. 116--126.
[46]
Song, H. H., Cho, T. W., Dave, V., Zhang, Y., Qiu, L. 2009. Scalable proximity estimation and link prediction in online social networks, In Proceedings of ACM SIGCOMM, Chicago, Illinois, ACM, New York, New York, 322--335.
[47]
Sridharan, H., Sundaram, H., Rikakis, T. 2003. Computational Models for Experiences in the Arts and Multimedia, In Proceedings of the ACM Workshop on Experiential Telepresence, Berkeley, California, ACM, New York, New York, 31--44
[48]
Swamynathan, G., Wilson, C., Boe, B., Almeroth, K., Zhao, B. Y. 2008. Do Social Networks Improve e-Commerce?: A Study on Social Marketplaces, In Proceedings of the Workshop on Online Social Networks, Seattle, Washington, ACM, New York, New York, 1--6.
[49]
Thomee, B., Huiskes, M. J., Bakker, E. M., Lew, M. S. 2008. Using an Artificial Imagination for Texture Retrieval, In Proceedings of the International Conference on Pattern Recognition, Tampa, Florida, 1--4.
[50]
Thomee, B., Huiskes, M. J., Bakker, E., Lew, M. S. 2009. Deep Exploration for Experiential Image Retrieval, In Proceedings of the ACM International Conference on Multimedia, Beijing, China, ACM, New York, New York, 673--676.
[51]
Wang, J., de Vries, A. P., Reinders, M. J. T. 2008. Unified Relevance Models for Rating Prediction in Collaborative Filtering, ACM TOIS, vol. 26, no. 3, ACM, New York, New York, article no. 16.
Index Terms
- Social webconsciousness
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Published In
October 2010
46 pages
ISBN:9781450301725
DOI:10.1145/1877911
- Program Chairs:
- Zhongfei (Mark) Zhang,
- Zhengyou Zhang,
- Ramesh Jain,
- Yueting Zhuang
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Published: 29 October 2010
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