TY - GEN
T1 - Diagnosis, Prevention, and Cure for Misinformation
AU - Banerjee, Ritwik
AU - Ray, Indrakshi
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Misinformation has become a widespread problem in contemporary society, harming the most vulnerable sections in particular. It incurs a high cost on everyone - socially, politically, and even financially. Much of the progress made in tackling misinformation, however, has only offered relatively simple solutions by taking a narrow view of 'misinformation' itself. We discuss the various nuances of the term, illustrating the technical difficulties that arise from them, and propose a multiplicity of context-sensitive modeling approaches that may prove to be fruitful in addressing these difficulties. A tremendous amount of work remains to be done to ensure our inoculation from misinformation and its harmful effects, and much of this work, we argue, requires collaborative effort across disciplines. It is our hope that this article serves as a call to further such research in this field.
AB - Misinformation has become a widespread problem in contemporary society, harming the most vulnerable sections in particular. It incurs a high cost on everyone - socially, politically, and even financially. Much of the progress made in tackling misinformation, however, has only offered relatively simple solutions by taking a narrow view of 'misinformation' itself. We discuss the various nuances of the term, illustrating the technical difficulties that arise from them, and propose a multiplicity of context-sensitive modeling approaches that may prove to be fruitful in addressing these difficulties. A tremendous amount of work remains to be done to ensure our inoculation from misinformation and its harmful effects, and much of this work, we argue, requires collaborative effort across disciplines. It is our hope that this article serves as a call to further such research in this field.
KW - Misinformation
KW - deception
KW - linguistics
KW - multi-modal learning
KW - natural language processing
UR - https://www.scopus.com/pages/publications/85128833209
U2 - 10.1109/CogMI52975.2021.00028
DO - 10.1109/CogMI52975.2021.00028
M3 - Conference contribution
AN - SCOPUS:85128833209
T3 - Proceedings - 2021 IEEE 3rd International Conference on Cognitive Machine Intelligence, CogMI 2021
SP - 156
EP - 162
BT - Proceedings - 2021 IEEE 3rd International Conference on Cognitive Machine Intelligence, CogMI 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE International Conference on Cognitive Machine Intelligence, CogMI 2021
Y2 - 13 December 2021 through 15 December 2021
ER -