Mood management theory
Open accessAbstract
Abstract Mood management theory belongs to a larger group of theoretical approaches that address selective exposure to media content. The theory posits that media choice is a function of the current affective state of media users and follows the principle of mood optimization. While the existing empirical evidence provides substantial support for the general notion that selective exposure to media content varies as a function of the situational affective state, research also suggests that media choice does not always follow the dictate of immediate mood optimization. A number of theoretical extensions have been introduced to account for the mixed empirical evidence concerning the specific predictions of mood management theory and to explain seemingly counterhedonistic forms of media exposure.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Hedonic media entertainment is associated with increased positive affect and decreased negative affect.
“Hedonic media entertainment has primarily associated with increased well-being in the form of increased positive and decreased negative affect (for an overview, see Reinecke, 2017)”
From Media for Coping During COVID-19 Social Distancing: Stress, Anxiety, and Psychological Well-Being (2020) · cites this paper as Reinecke, 2017
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 24 · Cited by 72
Research works printed but not linked: 1
- Leonard Reinecke is an assistant professor at the Department of Communication at Johannes Gutenberg University Mainz, Germany. He holds an MA and a PhD in psy- chology from the University of Hamburg, Germany. His past work has addressed the uses and effects of interactive and noninteractive media, computer-mediated commu- nication, and entertainment research. His work has been published in numerous inter- national journals, among them Human Communication Research, the Journal of Com- munication, the Journal of Media Psychology, and Media Psychology.
- Authors
- Reinecke, L.
- Affiliations
- Johannes Gutenberg University Mainz (DE)
- Corresponding author
- Reinecke, Leonard
- ORCID
- Reinecke, Leonard
- Venue
- The International Encyclopedia of Media Effects
- Publisher
- Wiley
- Published
- 2016-07-08
- Pages
- 1-13
- OpenAlex
- W2767969643
- Cited by
- 72
- References
- 24
- Citations by year
- 2026: 6 · 2025: 13 · 2024: 12 · 2023: 12 · 2022: 9 · 2021: 7 · 2020: 3 · 2019: 3 · 2018: 4 · 2017: 3
- Type
- reference entry
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The International Encyclopedia of Media Effects (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › Literature and Literary Theory › Media Influence and Health
- Social Sciences › Communication › Media Studies and Communication
- Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
- Keywords
- mood management theory, selective exposure, media selection, affective states, media effects theory
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
