@article{49b8761d2046494a8da59fa448caa3d7,
title = "A comparison of classification methods for predicting deception in computer-mediated communication",
abstract = "The increased chance of deception in computer-mediated communication and the potential risk of taking action based on deceptive information calls for automatic detection of deception. To achieve the ultimate goal of automatic prediction of deception, we selected four common classification methods and empirically compared their performance in predicting deception. The deception and truth data were collected during two experimental studies. The results suggest that all of the four methods were promising for predicting deception with cues to deception. Among them, neural networks exhibited consistent performance and were robust across test settings. The comparisons also highlighted the importance of selecting important input variables and removing noise in an attempt to enhance the performance of classification methods. The selected cues offer both methodological and theoretical contributions to the body of deception and information systems research.",
keywords = "Classification methods, Deception, Deception detection, Linguistic cues",
author = "Lina Zhou and Burgoon, {Judee K.} and Twitchell, {Douglas P.} and Tiantian Qin and Nunamaker, {Jay F.}",
note = "Funding Information: data for DSP2. Portions of this research were supported by funding from the U.S. Air Force Office of Scientific Research under the U.S. Department of Defense University Research Initiative (Grant F49620–01–1-0394). The views, opinions, and findings in this report are those of the authors{\textquoteright} and should not be construed as an official Department of Defense position, policy, or decision. Funding Information: JUDEE K. BURGOON is Professor of Communication, Professor of Family Studies and Human Development, and Director of Human Communication Research for the Center for the Management of Information at the University of Arizona. She has authored or coauthored seven books and monographs and nearly 200 articles, chapters, and reviews related to nonverbal, interpersonal, group, and computer-mediated communication. Her current research on communication via new technologies and on deception detection has been funded by the Department of Defense and Department of Homeland Security, among other agencies. An elected Fellow of the International Communication Association, she is a recipient of its Aubrey Fisher Mentorship Award and the National Communication Association{\textquoteright}s Distinguished Scholar Award.",
year = "2004",
doi = "10.1080/07421222.2004.11045779",
language = "English (US)",
volume = "20",
pages = "139--166",
journal = "Journal of Management Information Systems",
issn = "0742-1222",
publisher = "M.E. Sharpe Inc.",
number = "4",
}