Can Empathy Offset Low Bystander Efficacy? Effectiveness of Domestic Violence Prevention Narratives in India.
Clicks: 247
ID: 65274
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
79.5
/100
247 views
197 readers
Trending
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #25 of 79 articles by views in Health Communication
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Domestic violence stems from deeply rooted patriarchal norms and directly conflicts with humanitarian standards. Given that this issue impacts women across the world, many countries have initiated campaigns to heighten awareness and fight this epidemic. Based on Social Cognitive Theory (SCT), we explored whether narrative health messages might prompt bystanders to intervene (e.g., calling a helpline number) when they encounter domestic violence. Using a sample of participants from India, we found that narratives had a stronger impact on attitude toward the ad and reporting intention than non-narratives and such effects were mediated by feelings of empathy. More importantly, the mediating effects of empathy were significantly greater when bystander efficacy was low rather than high.
| Reference Key |
muralidharan2019canhealth
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Muralidharan, Sidharth;Kim, Eunjin Anna; |
| Journal | Health Communication |
| Year | 2019 |
| DOI |
10.1080/10410236.2019.1623645
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.