Impact of Death-Related Television Programming on Advertising Evaluation

REFERENCES

• Arndt, Jamie, John J.B. Allen, and Jeff Greenberg (2001), “Traces of Terror: Subliminal Death Primes and Facial Electromyographic Indices of Affect,” Motivation and Emotion, 25 (3), 253–77.
   Web of Science ®Google Scholar
• ———, Jeff Greenberg, Tom Pyszczynski, and Sheldon Solomon (1997), “Subliminal Exposure to Death-Related Stimuli Increases Defense of the Cultural Worldview,” Psychological Science, 8 (5), 379–85.
   Web of Science ®Google Scholar
• ———, Sheldon Solomon, Tim Kasser, and Kennon M. Sheldon (2004), “The Urge to Splurge: A Terror Management Account of Materialism and Consumer Behavior,” Journal of Consumer Psychology, 14 (3), 198–212.
   Web of Science ®Google Scholar
• Aylesworth, Andrew B., and Scott B. MacKenzie (1998), “Context Is the Key: The Effect of Program-Induced Mood on Thoughts about Ad,” Journal of Advertising, 27 (2), 17–31.
   Web of Science ®Google Scholar
• Broach, V. Carter, Thomas J. Page, and Dale R. Wilson (1995), “Television Programming and Its Influence on Viewers' Perceptions of Commercials: The Role of Program Arousal and Pleasantness,” Journal of Advertising, 24 (4), 45–54.
   Web of Science ®Google Scholar
• Coulter, Keith S. (1998), “The Effects of Affective Responses to Media Context on Advertising Evaluations,” Journal of Advertising, 27 (4), 41–51.
   Web of Science ®Google Scholar
• Cunningham, Todd, Amy Shea Hall, and Charles Young (2006), “The Advertising Magnifier Effect: An MTV Study,” Journal of Advertising Research, 46 (4), 369–80.
   Web of Science ®Google Scholar
• De Pelsmacker, Patrick, Maggie Geuens, and Pascal Anckaert (2002), “Media Context and Advertising Effectiveness: The Role of Context Appreciation and Context/Ad Similarity,” Journal of Advertising, 31 (2), 49–61.
   Web of Science ®Google Scholar
• Dunnett, Charles, W. (1955), “A Multiple Comparison Procedure for Comparing Several Treatments with a Control,” Journal of the American Statistical Association, 50 (272), 1096–121.
   Web of Science ®Google Scholar
• Forehand, Mark R., and Rohit Deshpande (2001), “What We See Makes Us Who We Are: Priming Ethnic Self-Awareness and Advertising Response,” Journal of Marketing Research, 38 (3), 336–48.
   Web of Science ®Google Scholar
• Goldberg, Marvin E., and Gerald G. Gorn (1987), “Happy and Sad TV Programs: How They Affect Reactions to Commercials,” Journal of Consumer Research, 14 (3), 387–403.
   Web of Science ®Google Scholar
• Grabe, Maria E., Annie Lang, Shuhua Zhou, and Paul David Bolls (2000), “Cognitive Access to Negatively Arousing News An Experimental Investigation of the Knowledge Gap,” Communication Research, 27 (1), 3–26.
   Web of Science ®Google Scholar
• Greenberg, Jeff, Tom Pyszczynski, Sheldon Solomon, Elizabeth Pinel, Linda Simon, and Krista Jordan (1993), “Effects of Self-Esteem on Vulnerability-Denying Defensive Distortions: Further Evidence of an Anxiety-Buffering Function of Self-Esteem,” Journal of Experimental Social Psychology, 29 (3), 229–51.
   Web of Science ®Google Scholar
• ———, Andy Martens, Eva Jones, Donna Eisenstadt, Tom Pyszczynski, and Sheldon Solomon (2003), “Psychological Defense in Anticipation of Anxiety: Eliminating the Potential for Anxiety Eliminates the Effect of Mortality Salience on Worldview Defense,” Psychological Science, 14 (5), 516–19.
   PubMed Web of Science ®Google Scholar
• ———, Tom Pyszczynski, and Sheldon Solomon (1986), “The Causes and Consequences of a Need for Self-Esteem: A Terror Management Theory,” in Public Self and Private Self, R.F. Baumeister, ed., New York: Springer-Verlag, 189–212.
   Google Scholar
• ———, Linda Simon, Tom Pyszczynski, and Sheldon Solomon (2000), “Proximal and Distal Defenses in Response to Reminders of One's Mortality: Evidence of a Temporal Sequence,” Personality and Social Psychology Bulletin, 26 (1), 91–99.
   Web of Science ®Google Scholar
• ———, Sheldon Solomon, Linda Simon, and Michael Breus (1994), “Role of Consciousness and Accessibility of Death-Related Thoughts in Mortality Salience Effects,” Journal of Personality and Social Psychology, 67 (4), 627–37.
   PubMed Web of Science ®Google Scholar
• Griskevicius, Vladas, Noah J. Golstein, Chad R. Mortensen, Jill M. Sundie, Robert B. Cialdini, and Douglas T. Kenrick (2009), “Fear and Loving in Las Vegas: Evolution, Emotion, and Persuasion,” Journal of Marketing Research, 46 (3), 384–95.
   PubMed Web of Science ®Google Scholar
• Gurhan-Canli, Zeynep, and Durairaj Maheswaran (2000), “Cultural Variations in Country of Origin Effects,” Journal of Marketing Research, 37 (3), 309–17.
   Web of Science ®Google Scholar
• Hayes, Andrew F., Kristopher J. Preacher, and Teresa A. Myers (2010), “Mediation and the Estimation of Indirect Effects in Political Communication Research,” in Sourcebook for Political Communication Research: Methods, Measures, and Analytical Techniques, E.P. Bucy and R. Lance Holbert, eds., New York: Routledge, 434–65.
   Google Scholar
• Hayes, Joseph, Jeff Schimel, Jamie Arndt, and Erik, H. Faucher (2010), “A Theoretical and Empirical Review of the Death-Thought Accessibility Concept in Terror Management Research,” Psychological Bulletin, 136 (5), 699–739.
   PubMed Web of Science ®Google Scholar
• Hogg, Michael A. (2006), “Social Identity Theory,” in Contemporary Social Psychological Theories, P.J. Burke, ed., Stanford, CA: Stanford University Press, 111–36.
   Google Scholar
• Kamins, Michael A., Lawrence J. Marks, and Deborah Skinner (1991), “Television Commercial Evaluation in the Context of Program-Induced Mood: Congruency versus Consistency Effects,” Journal of Advertising, 20 (2), 1–14.
   Web of Science ®Google Scholar
• Krugman, Herbert E. (1983), “Television Program Interest and Commercial Interruption,” Journal of Advertising Research, 23 (1), 21–23.
   Web of Science ®Google Scholar
• Lang, Annie, Robert F. Potter, and Paul D. Bolls (1999), “Something for Nothing: Is Visual Encoding Automatic?,” Media Psychology, 1 (2), 145–63.
   Google Scholar
• LaTour, Michael S., and Herbert J. Rotfeld (1997), “There Are Threats and (Maybe) Fear-Caused Arousal: Theory and Confusions of Appeals to Fear and Fear Arousal Itself,” Journal of Advertising, 26 (3), 45–59.
   Web of Science ®Google Scholar
• Law, Sharmistha (2002), “Can Repeating a Brand Claim Lead to Memory Confusion? The Effects of Claim Similarity and Concurrent Repetition,” Journal of Marketing Research, 39 (3), 366–78.
   Web of Science ®Google Scholar
• Liu, Jia, and Dirk Smeesters (2010), “Have You Seen the News Today? The Effect of Death-Related Media Contexts on Brand Preferences,” Journal of Marketing Research, 47 (2), 251–62.
   Web of Science ®Google Scholar
• Lloyd, David W., and Kevin J. Clancy (1991), “CPMs versus CPMIs: Implications for Media Planning,” Journal of Advertising Research, 31 (4), 34–44.
   Web of Science ®Google Scholar
• Maheswaran, Durairaj (1994), “Country of Origin as a Stereotype: Effects of Consumer Expertise and Attribute Strength on Product Evaluations,” Journal of Consumer Research, 21 (2), 354–65.
   Web of Science ®Google Scholar
• Murry, John P., and Peter A. Dacin (1996), “Cognitive Moderators of Negative Emotion Effects: Implications for Understanding Media Contexts,” Journal of Consumer Research, 22 (4), 439–47.
   Web of Science ®Google Scholar
• ———, John L. Lastovicka, and Surendra N. Singh (1992), “Feeling and Liking Responses to Television Programs: An Examination of Two Explanations for Media-Context Effects,” Journal of Consumer Research, 18 (4), 441–51.
   Web of Science ®Google Scholar
• Parents Television Council (2013), Media Violence Special Report, http://w2.parentstv.org/main/Research/Reports.aspx.
   Google Scholar
• Poncin, Ingrid, and Christian Derbaix (2009), “Commercials as Context for Other Commercials: Threat or Opportunity?,” Journal of Advertising, 38 (3), 33–49.
   Web of Science ®Google Scholar
• Potter, Robert F., Michael S. LaTour, Kathryn A. Braun-LaTour, and Tom Reichert (2006), “The Impact of Program Context on Motivational System Activation and Subsequent Effects on Processing a Fear Appeal,” Journal of Advertising, 35 (3), 67–80.
   Web of Science ®Google Scholar
• Preacher, Kristopher, J., and Andrew F. Hayes (2004), “SPSS and SAS Procedures for Estimating Indirect Effects in Simple Mediation Models,” Behavior Research Methods, Instruments, and Computers, 36 (4), 717–31.
   PubMedGoogle Scholar
• ———, Derek D. Rucker, and Andrew F. Hayes (2007), “Assessing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions,” Multivariate Behavioral Research, 42 (1), 185–227.
   PubMed Web of Science ®Google Scholar
• Pyszczynski, Tom, Jeff Greenberg, and Sheldon Solomon (1999), “A Dual-Process Model of Defense against Conscious and Unconscious Death-Related Thoughts: An Extension of Terror Management Theory,” Psychological Review, 106 (4), 835–45.
   PubMed Web of Science ®Google Scholar
• ———, ———, and ——— (2005), “The Machine in the Ghost: A Dual-Process Model of Defense against Conscious and Unconscious Death-Related Thought,” in Social Motivation: Conscious and Unconscious Processes, J. Forgas, W.D. Kipling, and S.M. Laham, eds., New York: Cambridge University Press, 40–54.
   Google Scholar
• Shapiro, Stewart, Deborah J. MacInnis, and C. Whan Park (2002), “Understanding Program-Induced Mood Effects: Decoupling Arousal from Valence,” Journal of Advertising, 31 (4), 15–26.
   Web of Science ®Google Scholar
• State of the News Media (2013), Pew Research Center, http://stateofthemedia.org/.
   Google Scholar
• Swaminathan, Vanitha, Karen L. Page, and Zeynep Gurhan-Canli (2007), “‘My’ Brand or ‘Our’ Brand: The Effects of Brand Relationship Dimensions and Self-Construal on Brand Evaluations,” Journal of Consumer Research, 34 (2), 248–58.
   Web of Science ®Google Scholar
• Tavassoli, Nader T., Clifford J. Shultz, and Gavin J. Fitzsimons (1995), “Program Involvement: Are Moderate Levels Best for Ad memory and Attitude toward the Ad?,” Journal of Advertising Research, 35 (5), 51–61.
   Google Scholar
• Watson, D., Lee A. Clark, and Auke Tellegen (1988), “Development and Validation of Brief Measures of Positive and Negative Affect: The PANAS Scale,” Journal of Personality and Social Psychology, 53, 1063–70.
   Web of Science ®Google Scholar