Open AccessInformation manipulation classification theory for LIS and NLP
Author(s) -
Rubin Victoria L.,
Chen Yimin
Publication year - 2012
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.14504901353
Subject(s) - variety (cybernetics) , salient , computer science , artificial intelligence , natural language processing , identification (biology) , sophistication , misinformation , sociology , social science , botany , computer security , biology
The Information Manipulation Classification Theory offers a systematic approach to understanding the differences and similarities among various types of information manipulation (such as falsification, exaggeration, concealment, misinformation or hoax). We distinguish twelve salient factors that manipulation varieties differ by (such as intentionality to deceive, accuracy, and social acceptability) to provide an abstract framework and conceptualize various permutations. Each variety then is represented as a set of features in the twelve‐dimensional space. Our contributions are two‐fold. In Library and Information Science (LIS) literature, a nuanced understanding of information manipulation varieties and their inter‐relation lends greater awareness and sophistication to the ways we think about information and information literacy. For Natural Language Processing (NLP), the model identifies salient features for each manipulation variety, creates a potential for automated recognition and adaptability from deception detection technology to identification of other information manipulation varieties based on similarities.