Teaching fact checking and verification is an essential part of journalism education. When a confusing media environment includes statements like "Truth is not truth" and "The president offered alternative facts," students need to go beyond traditional reporting standards. They need to be trained to consider the presentation of reality in deciding if a statement is misleading or patently false. Detecting Deception applies the concepts of logical argumentation to supplement the verification techniques that are the stock and trade of any media professional. Pithy and practical, Amanda Sturgill…mehr
Teaching fact checking and verification is an essential part of journalism education. When a confusing media environment includes statements like "Truth is not truth" and "The president offered alternative facts," students need to go beyond traditional reporting standards. They need to be trained to consider the presentation of reality in deciding if a statement is misleading or patently false. Detecting Deception applies the concepts of logical argumentation to supplement the verification techniques that are the stock and trade of any media professional. Pithy and practical, Amanda Sturgill draws from present day news examples to help students recognize the most common bad arguments people make. Detecting Deception is an essential tool for training future journalists to build stories that recognize faulty arguments and hold their subjects to a higher standard.
Amanda Sturgill is Associate Professor at Elon University and has been teaching the use of logic to create and understand arguments throughout her 20-year career as an educator. She can use her knowledge of how to explain to novices and combine it with her experience as a journalist and as the director of communications for a major international competition.
Inhaltsangabe
Introduction - An introduction the problem of people trying to mislead the public, followed by a description of techniques for general critical thinking including breaking statements into premises and conclusions. Things to look for - This will be the majority of the book, consisting of multiple short chapters. Each chapter will describe the issue, explain why it is an issue, offer an example with analysis drawn from existing news stories from a variety of topics and times and then offer an example without analysis for consideration or for instructors to use as an assignment. Problems with how people think 1. Arguing about the person instead of the idea (The Ad Hominem) 2. Arguing against something no one actually said (The Straw Man) 3. Don't be a hypocrite! (Tu Quoque) 4. Look! Squirrel! - Arguing by distraction (The Red Herring) 5. There are only two things that could happen (The Black and White) 6. And you'll end up living in a van down by the river... (The Slippery Slope) 7. One rotten apple spoils the barrel (The Fallacy of Fallacies) 8. Apples to oranges (Faulty Analogies) 9. Cool. Don't care. (Irrelevant Conclusions) 10. I saw a thing once. (Hasty Generalization) 11. All the children are above average. (The Division Fallacy) 12. Great players must make a great band. (The Composition Fallacy) 13. (Begging The Question) 14. (No true Scotsman) Problems with what people say 15. If you loved me... (The Appeal To Pity) 16. Agree or else (The Appeal to Force) 17. No one has proved you can't, so... (The Appeal To Ignorance) 18. I'm not a doctor, but... (The Appeal To Authority) 19. We've always done it this way. (Appeal To Tradition) 20. A lot of people agree. (The Appeal To Popularity) 21. The sky is green. (The Big Lie) Problems with numbers 22. It's a percent of what? (Ignoring The Base Rate) 23. Spider bites and spelling bees (Correlation Is Not Causation) 24. Rabbit feet and lucky rocks (Lurking Variables) 25. The difference that doesn't matter (Unnecessary Precision) 26. It's not actually that likely (Naïve Probability) 27. Bigger isn't necessarily better (Lying With Charts) 28. When a difference isn't really a difference (Misinterpreting Polls)
Introduction - An introduction the problem of people trying to mislead the public, followed by a description of techniques for general critical thinking including breaking statements into premises and conclusions. Things to look for - This will be the majority of the book, consisting of multiple short chapters. Each chapter will describe the issue, explain why it is an issue, offer an example with analysis drawn from existing news stories from a variety of topics and times and then offer an example without analysis for consideration or for instructors to use as an assignment. Problems with how people think 1. Arguing about the person instead of the idea (The Ad Hominem) 2. Arguing against something no one actually said (The Straw Man) 3. Don't be a hypocrite! (Tu Quoque) 4. Look! Squirrel! - Arguing by distraction (The Red Herring) 5. There are only two things that could happen (The Black and White) 6. And you'll end up living in a van down by the river... (The Slippery Slope) 7. One rotten apple spoils the barrel (The Fallacy of Fallacies) 8. Apples to oranges (Faulty Analogies) 9. Cool. Don't care. (Irrelevant Conclusions) 10. I saw a thing once. (Hasty Generalization) 11. All the children are above average. (The Division Fallacy) 12. Great players must make a great band. (The Composition Fallacy) 13. (Begging The Question) 14. (No true Scotsman) Problems with what people say 15. If you loved me... (The Appeal To Pity) 16. Agree or else (The Appeal to Force) 17. No one has proved you can't, so... (The Appeal To Ignorance) 18. I'm not a doctor, but... (The Appeal To Authority) 19. We've always done it this way. (Appeal To Tradition) 20. A lot of people agree. (The Appeal To Popularity) 21. The sky is green. (The Big Lie) Problems with numbers 22. It's a percent of what? (Ignoring The Base Rate) 23. Spider bites and spelling bees (Correlation Is Not Causation) 24. Rabbit feet and lucky rocks (Lurking Variables) 25. The difference that doesn't matter (Unnecessary Precision) 26. It's not actually that likely (Naïve Probability) 27. Bigger isn't necessarily better (Lying With Charts) 28. When a difference isn't really a difference (Misinterpreting Polls)
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