Concept
Mobilizing Users: Does Exposure to Misinformation and Its Correction Affect Users’ Responses to a Health Misinformation Post? Research Questions and Hypotheses
- RQ 1: Will exposure to corrections affect (a) self-reported likelihood of replying to the misinformation and (b) likelihood of offering an open-ended reply?
- RQ 2: Will the tone of correction (neutral, affirmative, uncivil) affect (a) self-reported likelihood of replying to the misinformation and (b) likelihood of offering an open-ended reply?
- RQ 3: Will the tone of corrections affect likelihood of replying (a) in opposition to raw milk (b) in support of correction regarding raw milk nutrition, and (c) in support of added information about raw milk safety?
- Hypothesis 1: Exposure to corrections will boost the likelihood of replying (a) in opposition to raw milk, (b) in support of correction regarding raw milk nutrition, and (c) in support of added information about raw milk safety compared to no correction.
- Hypothesis 2: Exposure to the uncivil corrections will lead to a higher percentage of uncivil replies than exposure to (a) no correction and (b) either neutral or affirmative corrections.
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Updated 2021-06-04
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CSCW (Computer-supported cooperative work)
Computing Sciences
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Mobilizing Users: Does Exposure to Misinformation and Its Correction Affect Users’ Responses to a Health Misinformation Post?
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Mobilizing Users: Does Exposure to Misinformation and Its Correction Affect Users’ Responses to a Health Misinformation Post? Research Questions and Hypotheses