The unprecedented spread of false and misleading information is the flip side of the Internet's promise of universal access and information democratization. This volume features original contributions from scholars working on the challenge of misinformation across a wide range of STEM, humanities, and art disciplines. Modeling a collaborative, multidisciplinary "convergence approach," Truth-Seeking in an Age of (Mis)Information Overload is structured in three parts. Part 1, "Misinformation and Artificial Intelligence," confronts the danger of outsourcing judgement and decision-making to AI instruments in key areas of public life, from the processing of loan applications to school funding, policing, and criminal sentencing. Part 2, "Science Communication," foregrounds the need to rethink how scientific findings are communicated to the public, calling on scientists to cooperate with colleagues in other disciplines and community representatives to help minimize the negative effects of mis/disinformation in such vital areas as climate change science and public health. Part 3, "Building Trust," further advocates for and explores instances of trust-building initiatives as a necessary precondition of both community-oriented scholarly activity and effective intervention strategies in high impact areas such as public health. This book is freely available in an open access edition thanks to the generous support of the Humanities Institute at the University at Buffalo, State University of New York. It can also be found in the SUNY Open Access Repository at https: //soar.suny.edu/handle/20.500.12648/15540.
The unprecedented spread of false and misleading information is the flip side of the Internet's promise of universal access and information democratization. This volume features original contributions from scholars working on the challenge of misinformation across a wide range of STEM, humanities, and art disciplines. Modeling a collaborative, multidisciplinary "convergence approach," Truth-Seeking in an Age of (Mis)Information Overload is structured in three parts. Part 1, "Misinformation and Artificial Intelligence," confronts the danger of outsourcing judgement and decision-making to AI instruments in key areas of public life, from the processing of loan applications to school funding, policing, and criminal sentencing. Part 2, "Science Communication," foregrounds the need to rethink how scientific findings are communicated to the public, calling on scientists to cooperate with colleagues in other disciplines and community representatives to help minimize the negative effects of mis/disinformation in such vital areas as climate change science and public health. Part 3, "Building Trust," further advocates for and explores instances of trust-building initiatives as a necessary precondition of both community-oriented scholarly activity and effective intervention strategies in high impact areas such as public health. This book is freely available in an open access edition thanks to the generous support of the Humanities Institute at the University at Buffalo, State University of New York. It can also be found in the SUNY Open Access Repository at https: //soar.suny.edu/handle/20.500.12648/15540.
