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Cited by 392

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Negative video as structure: Emotion, attention, capacity, and memory

Lang, Annie, Newhagen, John, Reeves, Byron·1996·Journal of Broadcasting & Electronic Media

Abstract

This paper uses a limited capacity information processing theory of television viewing to investigate the effects of graphic negative video at four levels of processing (attention, capacity, encoding, and retrieval) and on two dimensions of emotional experience (arousal and valence). Results indicate that the presence of negative video in news stories increases attention, increases the amount of capacity required to process the message, increases the ability to retrieve the story, facilitates recognition of information presented during the negative video and inhibits recognition for information presented before the negative video. Results also indicate that the introduction of negative video increases the self‐reported negative emotional impact of the story — making it more arousing and more negative.

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Crossref · 10.1080/08838159609364369

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Metadata

Authors
Lang, A., Newhagen, J., & Reeves, B.
Venue
Journal of Broadcasting & Electronic Media
Published
1996-09
Volume
40
Issue
4
Pages
460-477
ISSN
  • 0883-8151 (ISSN-L)
  • 1550-6878
OpenAlex
W2019286581
Cited by
392
References
6
FWCI
30.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Negative video as structure: Emotion, attention, capacity, and memory. https://app.cochat.ai/papers/10.1080/08838159609364369
The paper
Lang, A., Newhagen, J., & Reeves, B. (1996). Negative video as structure: Emotion, attention, capacity, and memory. Journal of Broadcasting & Electronic Media. https://doi.org/10.1080/08838159609364369

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.