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Computationally modeling mood management theory: a drift-diffusion model of people’s preferential choice for valence and arousal in media
16 references·0 citing·50 second hop
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References

  • 2007G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences65,813 cited
  • 1994Measuring emotion: The self-assessment manikin and the semantic differential9,531 cited
  • 2010Visual fixations and the computation and comparison of value in simple choice1,406 cited
  • 2013HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python1,043 cited
  • 2012Feelings-as-Information Theory926 cited
  • 1988Mood Management Through Communication Choices756 cited
  • 2011Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions728 cited
  • 2011Entertainment as Pleasurable and Meaningful: Identifying Hedonic and Eudaimonic Motivations for Entertainment Consumption723 cited
  • 2018#CommunicationSoWhite649 cited
  • 2010Defining Media Enjoyment as the Satisfaction of Intrinsic Needs611 cited
  • 2016The International Encyclopedia of Media Effects537 cited
  • 2010When Do People Rely on Affective and Cognitive Feelings in Judgment? A Review400 cited
  • 2012The Attentional Drift-Diffusion Model Extends to Simple Purchasing Decisions359 cited
  • 2021Theory Before the Test: How to Build High-Verisimilitude Explanatory Theories in Psychological Science354 cited

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  • 1993Exploring the Paradox of the Enjoyment of Sad Films352 cited
  • 1984Using television to alleviate boredom and stress: Selective exposure as a function of induced excitational states333 cited
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