The DOI matches its Crossref record.
Reading between the Photographs: The Influence of Incidental Pictorial Information on Issue Perception
Abstract
A news report on an Appalachian tick disease was differently illustrated. It either contained no images, an image of ticks, or this tick image plus three child victims. The victims were ethnically balanced (two White, one Black) or not (either all White or all Black). The text did not make any reference to the victims' ethnicity. Respondents assessed the risk of contracting the disease for children of different ethnicity. Partiality in pictorially representing a particular ethnic group fostered the relative overestimation of risk for that group. Inclusion of the image of ticks, especially when combined with victim images, prompted higher risk assessment overall.
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Citations
Cited by
Geise, S., & Baden, C. (2015) · Communication Theory · doi:10.1111/comt.12048 · Cited by 259
Dixon, G. N., McKeever, B. W., Holton, A. E., Clarke, C., & Eosco, G. (2015) · Journal of Communication · doi:10.1111/jcom.12159 · Cited by 106
Lee, J., & Shin, S. Y. (2022) · Media Psychology · doi:10.1080/15213269.2021.2007489 · Cited by 89
Puhl, R. M., Luedicke, J., & Heuer, C. A. (2013) · Journal of Health Communication · doi:10.1080/10810730.2012.757393 · Cited by 63
Metadata
- Authors
- Gibson, R., & Zillmann, D.
- Venue
- Journalism & Mass Communication Quarterly
- Publisher
- SAGE Publications
- Published
- 2000-06
- Volume
- 77
- Issue
- 2
- Pages
- 355-366
- ISSN
- 1077-6990 (ISSN-L)
- 2161-430X
- OpenAlex
- W1981988004
- Cited by
- 210
- References
- 0
- FWCI
- 4.19
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Reading between the Photographs: The Influence of Incidental Pictorial Information on Issue Perception. https://app.cochat.ai/papers/10.1177/107769900007700209
- The paper
- Gibson, R., & Zillmann, D. (2000). Reading between the Photographs: The Influence of Incidental Pictorial Information on Issue Perception. Journalism & Mass Communication Quarterly. https://doi.org/10.1177/107769900007700209
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
