Digitally Inoculating Viewers Against Visual Misinformation With a Perceptual Training — NSF Award to University of Wisconsin-Madi
Misinformation impedes people’s ability to make informed decisions in many areas, for example politics, health care, purchasing, or investing. Misinformation can be created by accident or intentionally. Misleading graphs are a particularly dangerous form of misinformation because they can make false information more be
| Award title | Digitally Inoculating Viewers Against Visual Misinformation With a Perceptual Training |
|---|---|
| Award ID | 2202457 |
| Awardee | University of Wisconsin-Madison |
| City | MADISON |
| State | WI |
| Amount obligated | $849,761 |
| Principal investigator | Xiaojin Zhu |
| Program | ITEST-Inov Tech Exp Stu & Teac, Cyberlearn & Future Learn Tech |
| Start date | 09/01/2022 |
| Abstract | Misinformation impedes people’s ability to make informed decisions in many areas, for example politics, health care, purchasing, or investing. Misinformation can be created by accident or intentionally. Misleading graphs are a particularly dangerous form of misinformation because they can make false information more believable and reach viewers faster. To combat misinformation in graphs, one needs to consider two aspects of graph comprehension: conceptual reasoning and perception. Prior research |
| Source | NSF Awards |
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