Mirroring your web presence

ABSTRACT

This paper describes the starting points of how to design and build tools to help individual users track and monitor their presence on the web from the standpoints of individual privacy and identity monitoring. It concludes with an overview technological barriers and possible solutions for their resolution. Our design models represent facets of identity by tracking their mentions in text. It is intended to provide a basis for discussion on how to redress the information imbalance users are subjected to today, due to lack of overview of their own online traces.

REFERENCES

• 1: Altman, I. 1975. The Environment and Social Behavior: Privacy, Personal Space, Territory and Crowding. Brooks/Cole Pub. Co., Inc., Monterey.
• 2: Argamon, S., Koppel, M., Fine, J., and Shimoni. A.R. 2003. Gender, genre, and writing style in formal written texts. Interdisciplinary Journal for the Study of Discourse, 23:321.
• 3: Boyd, D. 2002. Faceted Identity: Managing Representation in a Digital World, Master's Thesis. Massachusetts Institute of Technology.
• 4: Bretan, I., Dewe, J., Hallberg, A., Wolkert, N. and Karlgren, J. 1998. Web-specific genre visualization. In Proceedings of the 3rd World Conference on the WWW and Internet, Orlando, Florida.
• 5: Eagle, N. 2005. Machine Perception and Learning of Complex Social Systems. PhD thesis, Program in Media Arts and Sciences, Massachusetts Institute of Technology.
• 6: Ralph Grishman, Information Extraction: Techniques and Challenges, International Summer School on Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology, p.10-27, January 1997
• 7: Goffman, E. 1959. The Presentation of Self in Everyday Life. Doubleday.
• 8: Karlgren, J., Argamon, S., and Shanahan, J. G. 2005. Stylistic Analysis of Text for Information Access, SIGIR workshop proceedings, Salvador, Brazil.
• 9: Karlgren, J. and Eriksson, G. 2007. Genre, and linguistic convention. 2007. In Plagiarism Analysis, Authorship Identification, and Near-Duplicate Detection, SIGIR workshop proceedings, Amsterdam.
• 10: Karlgren, J. 1999. Stylistic experiments in information retrieval. In Natural Language Information Retrieval, Tomek Strzalkowski (ed.) Kluwer, Dordrecht.
• 11: Pazienza, M. 1997 Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology. Springer Verlag, Berlin / Heidelberg, 1997.
• 12: Nguyen, D. H., and Mynatt, D. 2002. Privacy Mirrors: Understanding and Shaping Socio-technical Ubiquitous Computing Systems. Atlanta: Georgia Institute of Technology Technical Report (GIT-GVU-02-16).
• 13: Sahlgren, M. The Word-Space Model: Using distributional analysis to represent syntagmatic and paradigmatic relations between words in high-dimensional vector spaces. PhD thesis, Department of Linguistics, Stockholm University, Stockholm, 2006.
• 14: Sahlgren, M., Karlgren, J., and Eriksson, G. 2007. Valence annotation based on seeds in word space. In Proceedings of the 4th International Workshop on Semantic Evaluations (SemEval-2007), Prague, Czech Republic.
• 15: Westin, A. 1970. Privacy and Freedom. Atheneum, New York.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)

Additional Classification:
  H. Information Systems
  H.4 INFORMATION SYSTEMS APPLICATIONS
      H.4.m Miscellaneous

  K. Computing Milieux
  K.4 COMPUTERS AND SOCIETY
      K.4.2 Social Issues

General Terms:
Design, Human Factors

Keywords:
computational stylistics, digital identity, information refinement, language technology, privacy, social identity