Machine and human roles for mitigation of misinformation harms during crises: An activity theory conceptualization and validation |
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| Institution: | 1. School of Management, Binghamton University, The State University of New York, 4400 Vestal Pkwy E, Binghamton, NY 13902;2. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, USA, One UTSA Circle, San Antonio, TX 78249, USA;1. School of Management, Binghamton University, The State University of New York, 4400 Vestal Pkwy E, Binghamton, NY 13902;2. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, USA, One UTSA Circle, San Antonio, TX 78249, USA;1. Department of Management, Information Systems, and Quantitative Methods, University of Alabama at Birmingham, 710 13th St S., Birmingham, AL 35233, USA;2. Department of Management Information Systems, Fox School of Business, Temple University, Philadelphia, PA 19122, USA;1. Ontario Tech University, Oshawa, Canada;2. Royal Holloway, Egham, Surrey TW20 0EX, United Kingdom;3. Norwegian University of Science and Technology, Trondheim, Norway;1. School of Business, University of Petroleum & Energy Studies, Dehradun, India;2. Department of General Management, Jaipuria Institute of Management, Noida, UP, India;1. Department of Economics and Marketing, De Montfort University, Leicester LE1 5SG, UK;2. Henley Business School, University of Reading, Whiteknights, Reading RG6 6UD, UK;3. Cardiff Business School, Cardiff University, Cardiff CF10 3EU, UK;1. Kedge Business School, Domaine de Luminy, BP 921, 13288 Marseille Cedex 9, France;2. John Molson School of Business, Concordia University, 1455 de Maisonneuve boul. West, Montreal, Canada;3. University of Twente, Drienerlolaan 5, 7522 NB Enschede, the Netherlands |
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| Abstract: | During crises, there is a need for a large amount of information in a short period. Such need creates the base for misinformation to spread within and outside the affected community. This may result in misinformation harms that can generate serious short term or long-term consequences. In such situations, there is a need for a joint human-machine effort to mitigate misinformation. Though there has been research in the area of management of AI in the recent past, there has been scarce work in examining situations where machines and humans interact for mitigating misinformation. In order to systematically analyze misinformation and suggest mechanisms for mitigation, we draw on Activity Theory to conceptualize a suitable framework. Such a framework will enable investigating human-machine interactions through loops of “misinformation generation” and “misinformation mitigation” activities for mitigating misinformation harms. The paper also validates the framework using three different target audiences, undergraduates, graduates and professionals. |
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| Keywords: | Misinformation Harms Humanitarian Crises Activity Theory Human-Machine Interaction |
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