Risky Politics
Applying the Planned Risk Information Seeking Model to the 2016 U.S. Presidential Election
Bibliographic Data
| ID | 12748739 |
|---|---|
| Authors | Lee Ann Kahlor (0000-0003-3372-9589, Austin College, corresponding author), Janet Z Yang (0000-0002-5989-5254), Ming-Ching Liang (Metropolitan State University) |
| Year | 2018 |
| Volume | 21 |
| Issue | 6 |
| Pages | 697-719 |
| Publication date | 2018-07-10 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Mass Communication & Society (JOURNAL) |
| Journal identifiers | ISSN: 1520-5436 • E-ISSN: 1532-7825 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/15205436.2018.1498900 |
| OpenAlex | W2881556344 |
| Language | EN |
| Citations received | 15 |
| References cited | 56 |
News coverage of the 2016 U.S. presidential election periodically framed the election in terms of risk. We sought to better understand the role of perceived risk and related emotional responses in shaping information seeking intent during the election. We turned to the planned risk information seeking model as our theoretical framework and tested the model using online panel data collected in the month preceding Election Day 2016. Given the divisive nature of the presidential campaign, we also conducted multigroup comparison using ideology as a grouping variable. The model shows excellent fit to the data, accounting for more than half of the variance in seeking intent for both conservatives and liberals. Most interesting was that anger was negatively related to seeking intent among the conservatives but not the liberals, suggesting a sort of shutdown among certain respondents. Overall, our results suggest that the model provides a theoretically rich starting place for the study of risk information seeking in the context of electoral politics and raises some interesting questions for future research
Anger · Context (archaeology · Economics · Ideology · Information seeking · Political science · Politics · Presidential election · Presidential system · Variance (accounting · Climate Change Communication and Perception · Computer Science · Law · Misinformation and Its Impacts · Psychology · Social Media and Politics · Social Psychology
How information processing and risk/benefit perception affect Covid-19 vaccination intention of users in online health communities
Risk perception, affect, and information avoidance during the 2016 U.S. Presidential election
Information Seeking Behaviors and Intentions in Response to Environmental Health Risk Messages
Extending the planned risk information seeking model (PRISM) in the context of artificial intelligence
Risk Here vs. Risk There
Environmental Risk (and Benefit) Information Seeking Intentions
Turning off Populism? Applying the Theory of Motivated Information Management on Political Information Avoidance
Combating pandemic
Information Seeking and Processing in the Context of Vaccine Scandals
Reduced Risk Information Seeking Model (Risk)
When Doing More Requires Knowing More
Media Exposure, Cancer Beliefs, and Cancer-Related Information-Seeking or Avoidance Behavior Patterns in China
Applying the Theory of Motivated Information Management to the Context of Conflicting Online Health Information
Increasing Information Seeking About Antibiotic Risks
Social dominance orientation and information seeking about the Mpox outbreak
An Augmented Risk Information Seeking Model
Personal Cancer Knowledge and Information Seeking Through PRISM
Models in information behaviour research
Proposed Model of the Relationship of Risk Information Seeking and Processing to the Development of Preventive Behaviors
Differences in negativity bias underlie variations in political ideology
Connections Between Internet Use and Political Efficacy, Knowledge, and Participation
Online and in the Know
Preelection Selective Exposure
Cutoff criteria for fit indexes in covariance structure analysis
The theory of planned behavior
The Oxford Handbook of Political Communication
Testing Structural Equation Models
Turn a Blind Eye If You Care
Echo Chamber or Public Sphere? Predicting Political Orientation and Measuring Political Homophily in Twitter Using Big Data
On the Distinct Political Effects of Anxiety and Anger
The Social Amplification of Risk
Prism
Risk Information Seeking and Processing Model
Conservatives Anticipate and Experience Stronger Emotional Reactions to Negative Outcomes
Structural equation modeling in practice
Media Perceptions and Public Affairs Apathy in the Politically Inexperienced
Social Media Use for News and Individuals' Social Capital, Civic Engagement and Political Participation
Toward a Theory of Motivated Information Management
Campaigns, Reflection, and Deliberation
Public attitudes toward biofuels
Campaigns and Information Seeking
Relations among emotion, appraisal, and emotional action readiness
Partisan Provocation
Election Night’s Alright for Fighting
Is a Worried Citizen a Good Citizen? Emotions, Political Information Seeking, and Learning via the Internet
What, Me Worry? The Role of Affect in Information Seeking and Avoidance
Seeking Information About Climate Change
After the Flood
A Comprehensive Model of Information Seeking
If We Seek, Do We Learn
Political ideology as motivated social cognition
Principles and Practice of Structural Equation Modeling
What Triggers Public Opposition to Immigration? Anxiety, Group Cues, and Immigration Threat
Social Media and Fake News in the 2016 Election
Wha'd'ya Know
Alternative Ways of Assessing Model Fit
Information-Seeking as a Precaution Behavior
| Unique citing works | 15 |
|---|---|
| Citations per year | 2,5 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 15 |