Research examining Americans' perceptions of China before and after the 2008 Olympics. Implications for using Olympics as a public relation strategy to change global perceptions.
4 TRIK CARA MENGGUGURKAN JANIN ATAU ABORSI KANDUNGAN
The Olympics As A Public Relations Strategy: Americans Views About China Before And After The 2008 Beijing Olympics
1. The Influence of Media on Beliefs
The Olympics As A
Public Relations
Strategy:
Americans Views
About China Before
And After The
2008 Beijing
Olympics
Pamela B. Rutledge
Fielding Graduate University
2. Purpose
To address a gap in the
literature on
belief formation and conflict
by examining the impact of
information sources on the
beliefs that predispose
individuals toward conflict
3. Globalization
Communication technologies
McLuhan’s global village
New definitions of
identity and culture are
no longer confined by
geographic boundaries
Globalization will
not go away
4. New Relationship with China
Technology has led to
rapid economic growth
with global implications
Jobs
Energy
Loss of Soviet Union as
enemy ‘promotes’ China
5. Media Makes China the Enemy
Media defines nations
through images and symbols
Americans know very little
about China and culture is
difficult to understand
Easy to stereotype
Information about China is
often inaccurate
Government control
Journalistic license and
old metaphors
Consistent negative framing
6. The 2008 Beijing Olympics
Olympics bring increased media
attention
Intangible benefits
Qualitative features of media coverage
7. Information Sources
Media is pervasive
Qualitatively different channels
elicit different cognitive and
affective responses
Measurements of media
consumption still being developed
What do we want to measure?
Attention
Time
Recall
Meaning
8. Psychology of Fear
What Gets our Attention?
The human brain uses
economy measures to process
information
Salience
Relevance
Mental models (stereotypes)
Fear an effective way of
eliciting an affective response
Triggered by perceptions of
significant and personally-
relevant threat
Fear of Threats
Risk assessed against
perceived efficacy rather
than prior experience
Mass perceptions of threat
influence national policy and
international relations
Fear increases the need to
affiliate
9. The Role of Identity in Conflict
Social psychology conflict literature originally focused on
group identity and affiliation
Returning to role of self and individual
Freud, Vygotsky, Personality theorists,
Evolutionary Psychology
From self to social
More system-oriented
Self and social identity conflictual in nature
COSMIDES, PINKER, TOOBY, FREUD, VYGOTSKY, TAJFEL, ASCH, KELMAN, SEN, BREWER
10. Why Affiliate?
Motivations for affiliation
Self-esteem, status, value
Uncertainty reduction, terror reduction
Shift focus from self-esteem to order-seeking
Biological and psychological need for order
Internal consistency
Biological imperative for survival
11. Evaluative filters to process
information and experience
Continually reconstructed
through interaction with the
wider social system
Core beliefs serve need for
internal consistency
Social psychology articulates
interaction of the individual with
social structures
Social identity theory
Self-categorization theory
Relative deprivation theory
Core beliefs operate at both
individual and group levels
Definition Integration
Core Beliefs
Cognitive psychology distills conflict into core beliefs that establish
the themes that drive human behavior
12. Five Domain Framework
Central beliefs to group conflict
Vulnerability
Injustice
Helplessness
Distrust
Superiority
Operate at three levels:
Individual view of personal world
Individual’s beliefs about their group
Individual’s perceptions about the group worldview
• IGBI, Roy J. Eidelson & Eidelson (2003)
14. Media-Saturated Environment
Prevalence
98% of homes have TV
50% of Americans text
message
Virtually all teenagers
play video games
Cell phone subscribers
equal 75% of population
Source: Pew Research Center (2008) http://pewresearch.org/pubs/928/key-news-
audiences-now-blend-online-and-traditional-sources
15. Methodology
Internet survey-based study
Participants provided by
Zoomerang (N=896)
Likert-type questions
Data collected
June 27, 2008 (N=418),
August 27, 2008 (N=478)
Demographics:
Approximation of U.S. Census
Minimum high school
education
50/50 Male/Female
Ages 18 to 44
Racial distribution
Assessment instruments
Individual and Group Beliefs
Inventory
Life Orientation Test
Satisfaction with Life Survey
Group Affiliation
Conflict Strategies
Attitudes toward China
Media measures
Preference
Percentage use
Political orientation
Analysis
Bivariate correlation
Multiple regression
16. The Hypotheses
More television increases core beliefs
New media decreases core beliefs
Optimism decreases core beliefs
Olympics media increases core beliefs
Core beliefs increase group affiliation, attitudes toward China and
conflict strategies
18. Empirical Analysis
Empirical analysis conducted in 2 stages:
1st stage: Correlations between media use,
explanatory style, core beliefs and conflict
measures
2nd stage: Regression analyses to estimate the
model
19. Correlation Analysis
In general, optimism proved to be significantly
correlated with core beliefs at both the personal
and group levels
Broadcast media was significantly correlated with
most core beliefs and conflict measures at the
group level
Broadcast media split into liberal and conservative
programming proved to be significantly correlated
with most core beliefs at the individual and group
levels
20. IGBI-IG
Vulnerabilit
y
IGBI-IG
Injustice
IGBI-IG
Helplessness
IGBI-IG
Distrust
IGBI-IG
Superiority
Group
Negativity
SWLS IG
LOT-R
Scale
-.20** -.071* -.263** -.074* -0.042 -.201** .203**
Broadcast 1st
Choice
.113** .121** 0.059 0.064 0.045 .118** 0.048
New Media
1st Choice
-.098** -.118** 0.033 -.069* -0.059 -.085* -0.04
% Television .076* .156** -0.013 0.058 .122** .093** .066*
% Internet -.070* -.148** -0.028 -.10** -.09** -.12** -0.052
Liberal
Television
-0.054 -.100** 0.054 -.097** -0.063 -.068* 0.011
Conservative
Television
.143** .144** 0.022 .111** .132** .140** .148**
N = 896, * p < .05, ** p < .01
Correlations Group Level: Optimism
21. IGBI-IG
Vulnerability
IGBI-IG
Injustice
IGBI-IG
Helplessness
IGBI-IG
Distrust
IGBI-IG
Superiority
Group
Negativity
SWLS IG
LOT-R Scale -.20** -.071* -.263** -.074* -0.042 -.201** .203**
Broadcast
1st Choice
.113** .121** 0.059 0.064 0.045 .118** 0.048
New Media 1st
Choice
-.098** -.118** 0.033 -.069* -0.059 -.085* -0.04
%
Television
.076* .156** -0.013 0.058 .122** .093** .066*
% Internet -.070* -.148** -0.028 -.10** -.09** -.12** -0.052
Liberal
Television
-0.054 -.100** 0.054 -.097** -0.063 -.068* 0.011
Conserv.
Television
.143** .144** 0.022 .111** .132** .140** .148**
N = 896, * p < .05, ** p < .01
Correlations Group Level: Broadcast Media
22. IGBI-IG
Vulnerabilit
y
IGBI-IG
Injustice
IGBI-IG
Helplessness
IGBI-IG
Distrust
IGBI-IG
Superiority
Group
Negativity
SWLS IG
LOT-R Scale -.20** -.071* -.263** -.074* -0.042 -.201** .203**
Broadcast 1st
Choice
.113** .121** 0.059 0.064 0.045 .118** 0.048
New
Media 1st
Choice
-.098** -.118** 0.033 -.069* -0.059 -.085* -0.04
% Television .076* .156** -0.013 0.058 .122** .093** .066*
%
Internet
-.070* -.148** -0.028 -.10** -.09** -.12** -0.052
Liberal
Television
-0.054 -.100** 0.054 -.097** -0.063 -.068* 0.011
Conservative
Television
.143** .144** 0.022 .111** .132** .140** .148**
N = 896, * p < .05, ** p < .01
Correlations Group Level: New Media
24. Regression Analysis Phase 1 Results
In general, optimism was a significant negative
predictor for core beliefs at the personal and group
levels as hypothesized by the model
New media was a significant negative predictor for
most core beliefs at the group level
Broadcast media, split into liberal and conservative
programming, proved to significant predictors with
most core beliefs at the group level
25. Regression Analysis Group Level: Conservative and
Liberal Programming
β Vulnerability Injustice Helplessness Distrust Superiority Well-Being
Conservative
TV
0.143** 0.135** 0.108** 0.120** 0.122**
Liberal TV -0.107* -0.100** -.060*
New Media
1st Choice
-0.082** -0.107* -0.061*
Conservative
Political
Beliefs
0.105** 0.207** -0.104** 0.154** 0.206** 0.188**
Lot-R -0.203** -0.073* -0.266** -0.076* 0.192**
N = 896, * p < .05, ** p < .01
Belief = 0 + 1ICTV + 2I1stNM + 3ILTV + 4SWLS + 8PCON +
N = 896, * p < .05, ** p < .01, predictors are in left column
26. Significant changes in
first choice preference
from Internet toward
television
Changes in media use
had no impact on core
beliefs at any level
No significant change in
core beliefs pre- to post-
Olympics
Pre- to Post-Olympic Measures
42%
44%
46%
48%
50%
52%
54%
56%
Pre-Olympics Post-Olympics
Broadcast 1st Choice
New Media 1st Choice
N = 896
29. Regression Analysis Phase 2 Results
Predictor Dependent Variable
Conservative Programming
Conservative Political Views
U.S. Vulnerability (IG)
Unjust treatment of U.S. (IG)
U.S. Superiority (IG)
U.S. Vulnerability (IG)
Unjust treatment of U.S. (IG)
U.S. Superiority (IG)
Group Affiliation
China as an Enemy
Conflict Strategies
Subjective well being (IG)
Group Affiliation
China as an Enemy
Conflict Strategies
Conservative Political Beliefs Conflict Strategies
30. Group
Affiliation
Enemy Image
of China
Attitudes
toward China
Conflict
Strategies
Vulnerability IG .201** .119** -.200**
Injustice IG .199** .233** .119**
Helplessness IG -.361** .164**
Distrust IG -.354** -.350**
Superiority IG .103** .242**
Well-Being IG .191** .178** .182**
Conservative
Political Beliefs
.108** .057* .087**
Regression Analysis:
Group Beliefs and Conflict Measures
Conflict Measure = 0 + 1BVUL + 2BINJ + 3BHELP + 4BDIS + 8BSUP + SWLS +
N = 896, * p < .05, ** p < .01, predictors are in left column
31. Additional Findings
Differences between belief levels were significant for
all core beliefs
84% said Olympics did not change view of China
4% had traveled to China
For 96% the Olympics had no change on their
attitudes about China
32. Beliefs Differences Among Levels
4
5
6
7
8
9
10
11
12
Vulnerability Injustice Helplessness Distrust Superiority
Personal Beliefs Personal Beliefs about the U.S. Perceptions of Most Americans Beliefs
33. Changing Views of China
2.5
3.0
3.5
4.0
4.5
5.0
Country People Culture Government
Opinions of Chinese People and Culture Significantly More Positive
than Perceptions of Chinese Government
N = 478; Higher scores equal more positive perception
34. The Impact of Personal Experience on Perceptions
2.0
2.2
2.4
2.6
2.8
3.0
3.2
3.4
3.6
3.8
4.0
Group
Affiliation
Attitudes
Toward China
Enemy Image
Have Traveled to China
Have Not Traveled to China
4% of sample have
traveled to China
(N=36)
Mean differences
between group means
significant, p < .01
Note: N=896. Higher scores for Attitudes Toward
China indicates more positive feelings.
35. 2.6 2.8 3.0 3.2 3.4 3.6
Pre
Post
Pre
Post
TravelNoTravel
Attitudes Toward China
3.2 3.4 3.6 3.8 4.0
Pre
Post
Pre
Post
TravelNoTravel
Group Affiliation
0.0 1.0 2.0 3.0 4.0
Pre
Post
Pre
Post
TravelNoTravel
Enemy Image
Never Traveled to China
Group affiliation increased
Attitude and enemy views
either did not change or
became more negative
Have Traveled to China
Positive regard increased
Image of China as an
enemy decreased
Change in Views
Pre- and
Post-Olympics
36. Changes in perceptions of media accuracy from before to after the Olympics
Perceptions of Media Accuracy
N = 896
US Media
Accuracy
China's
Media
Accuracy
2.35
2.45
2.55
2.65
2.75
2.85
Pre-Olympics Post-Olympics
37. Conclusions
Overall model confirmed by correlations
Regression results not consistent
Only at the IG level did the information
predictors confirm the model
TV predicted stronger beliefs, new
media predicted decrease
Explanatory style was strong predictor
Programming content and political views
emerged as strong predictors
Ideological buffer, just-world, security,
biology
Well-being consistently aligned
38. Do Media Choices Matter?
< Strong predictors for conflict:
Conservative political views
Group affiliation
Enemy Image
Do people choose media based on their beliefs rather than the
other way around?
Basic assumptions of media effects research
Programming and media content
Validate personal identity, group affiliation, tribal allegiance
Restore order to uncertain world
Identify scapegoat
39. Orange Alert
Escalation in negative beliefs from
personal to group levels
Fear as normalizing?
Projections to externalize fear
Climate of “orange alert”
Media emphasis
Biological reaction
Psychological response
Olympics television coverage benign
to positive
Negative attitudes increased
40. Gated Communities of Ideology
Frightened people build gated communities
Media becomes ritual for affirmation not a quest for knowledge
Increased measures of subjective well-being indicates successful wall building
Media producers are driven by economics not ideology
Challenge to create messages that break through walls
41. Limitations
Population: self-selected from Zoomerang market
poll
Apathetic or representative?
Media measures
Conflict identified as U.S. versus China
Television coverage distracted by Russia-Georgia
military confrontation
No true repeated measures (pre-post) design,
although samples were similar in demographics
42. Future Research
Technical issues: survey data, sample
Cross-cultural comparison, i.e. China’s point of view
Perceptions of conflict and the “other”
Effectiveness of global media event
Media choice with core beliefs and social zeitgeist
Effect of media events and content on nation brands
Media content compared with viewer perceptions and beliefs
Types and strength of belief clustering as precursors to conflict
43. Reflections
Importance of recognizing simultaneity
in media psychology
Needs system analysis
Disconnected research across disciplines
Analytical frameworks, jargon, measures
Ivory Silos
Media is not a “thing.” It is a conduit for
who we are and what we do
Media reinforces beliefs does not create
them
44. Conclusion
Perceptions of China were not significantly changed by
Olympic coverage
Viewers’ beliefs about their own and their countries
vulnerabilities were the stronger predictors of perceptions of
China as an enemy, regardless of programming
Viewers’ programming choices reflected their beliefs, not the
other way around
The only significant positive change in perceptions of China
came from people who had visited China in person
45. Implications
The massive financial investment in the Olympics does not
results in negative perceptions turning positive
Brands should consider their own goals and potential halo
effects in where and how they choose to make sponsorship
investments
Increased fear and the sense of vulnerability increases the
need for us vs. them thinking and the creation of villains
No easy solutions:
Increase sense of safety of home populations
Increase opportunities for personal contact and exchange
Can media change our perceptions of nations? Does the investment in the Olympics change pre-existing beliefs?
The Predisposition of Americans Toward Conflict with China before and after the 2008 Beijing Olympics
Conflict is a very real event experienced by individuals, groups and nations. It can have catastrophic consequences in loss of life, economic opportunity, and human rights.
Communication technologies are emerging and evolving rapidly. We need to understand what role they play in society and how to use the power of the media to positive ends.
This story starts with globalization.
Media technologies are bringing historically isolated cultures and countries into close and continuous contact. Much debate over pros and cons of interdependence and integration.
McLuhan had a vision of a global village.
“eating a McDonald’s burger doesn’t make me an American”
Conflict on the rise; allegiances tribal and cultural more than geographic
China has experienced rapid growth since the end of the Mao era
U.S. now competes with China for jobs, factories, investment capital and finite natural resources
Chinese government committed to delivering sustainable growth; need it for social stability and to retain government control
The rise of China coincided with the loss of the Soviet Union which deprived the media and western culture of an enemy figure
Since 9/11, we have seen some villainization of the Middle East.
However, China not only represents a real and longer-term threat in economic impact and global political power but carries some of the emotional baggage of “Cold War Communism” and ready supply of Mao-era images.
Mass media helps make nations real and tangible through images, symbols and events.
Information from within China was cut off during the Mao regime and is still controlled.
Documented negative framing in a body of research;
notable examples of Jack Cafferty referring to the Chinese as the “same bullies and thugs” and coverage of Tibet showing Laotian soldiers. Neil Cavuto - Isn’t that the same?
Americans are not very knowledgeable about China (or most of the world);
many picturing China as full of people in Mao jackets on bicycles carrying little red books.
The Tibetan position is an example of the power of the media and imagery. While mainland China was closed during the Mao years, pro-Tibetan liberation advocates been promoting their position to western media. Not saying right or wrong, it is a very complex issue. But just comparing the face of the Dalai Lama to Mao Zedong
29% of the respondents in this study worried personally about the Chinese because they are “Communists”; 48% believed “ most Americans” worried about China because they were communists compared to who 10% did not endorse that statement. The difference between the means significant at < .001
Global mega-events generate extensive media coverage
Choice of Beijing controversial but important to China to increase global awareness and appreciation of Chinese culture. Chinese are aware of the negative press they receive, both justly and unjustly. Eager to improve their image and stake out their position as a major player.
Mixed results from other Olympics: positive for Australia 2000 in terms of national pride and enthusiasm; Seoul (1988 summer) and Calgary (1988 winter) both had economic benefits of increased tourism and trade. Atlanta, 1996, had mixed results with negative perceptions of security due to bombing in Centennial Square.
China’s goal is more qualitative than economic. Anecdotally, it has been a success in terms of national pride.
TV versus Internet have been the focus of research; classic example is studies of the Kennedy-Nixon debate. TV watchers thought Kennedy had won; radio thought Nixon had.
Comparison research has focused on:
Political messages
Political and civic engagement
Health messages
Trust in products, people and institutions
Nielson Media Research earmarked $7.5 to establish media usage benchmarks; Pew research Institute continually measures types of technology and media use.
Most research firms focus on overt behaviors not experience
What measures make sense: Time, preference or attention? What about simultaneous use? What are we trying, in fact, to measure?
All these sources produce information flows that have to be processed. We can of course ignore information
But to even decide what to ignore the human brain uses economy measures because of the quantity of information flows
What matters to getting a message through?
Salience 2. Relevance 3. Mental models – can we stick it to something that already exists
Human brains are wired to scan the horizon for threats. A personally-relevant threat elicits a fear response
The intensity of the response is based primarily on our perceptions of self-efficacy rather than personal experience
As a society, perceptions of threat and fear influence national policy , such as endorsement of anti-terrorism policies or trade
Identification with ingroups and outgroups – politics make use of this, heightening our sense of threat by increasing our sense of affiliation SETS UP CONFLICT
Analysis of self and identity are advancing the understanding of conflict and mediation by joining theoretical approaches of group processes and behaviors,
such as social identity and self-categorization theories (e.g., Tajfel, 1982) with cognitive theories of individual beliefs.
Social Identity Theory and Self-categorization approaches to understanding individual and group identity formation and behaviors
Several constructs have been identified as contributors to conflict.
At the level of the individual, ethnic identity, self-efficacy, and vulnerability contribute to hostility toward other groups
At the group level, group-based identities and beliefs of superiority promote increased competition and aggression
Vulnerability and distrust increase group allegiance and outgroup depersonalization, motivating individuals to take action on behalf of their group
Perceived injustices by minority populations can trigger violence
At the national scale, fear of losing cultural identity is the basis for the most intractable conflicts (Kelman, 2007).
EFFECTS OF AFFILIATION:
Group and individual identities are defined by the interaction between them as well as establishing boundaries. It is the boundaries that contribute to conflict.
Sen – solitarist view of the self
Brewer Social Identity Complexity Theory
Individuals with multiple, non-converging group affiliations are posited to have a more a complex and flexible identity structure, are less likely to submerge their own identity to that of a group, and are more tolerant of others.
WHY DO WE AFFILIATE:
People have stronger engagement with a group when the group identification has positive consequences for their self-esteem, status, and value
Uncertainty Reduction Theory and Terror Reduction Theory shift the focus from social comparison for self-esteem to order-seeking as motivation.
Similarly, the need for cognitive closure—the need for predictability and certainty—generates heightened group identification to alleviate cognitive ambiguity.
Research results have shown the need for cognitive certainty to be significantly related to a hostile conflict schema that manifests as a socially-disruptive, single-minded pursuit of resolution in favor of one’s own goals
Individuals unconsciously construct and maintain core beliefs to serve their need for internal consistency. Internal consistency gives an individual the ability to make sense of and successfully negotiate his/her environment
Coleman identified more than 50 variables that contribute to intractable conflict which include a variety of context, issues, relationships and consequences. These can be summarized as perceptions of malevolence, intentionality, and injustice that lead to reactions of increasing
To clarify the interplay of individual and group dynamics in the development of conflict, Roy J. Eidelson & Eidelson (2003) identified five belief domains that are central in group conflict settings: vulnerability, injustice, distrust, superiority, and helplessness. Drawn from the literature, the five domains function at dual levels, addressing core beliefs fundamental to the daily experiences of individuals (Beck, 1976; Kelly, 1955; J. E. Young, 1999) and perceptions of collective core beliefs that represent the shared worldviews of the group (D. Bar-Tal, 2000). This five-domain framework has been additionally validated and tested by Eidelson and Plummer (2005), and R.J Eidelson (2002, 2006) and applied in cross-cultural populations by Lyubansky and Eidelson (2005) and Maoz and Eidelson (2007).
Relationship among levels
To clarify the interplay of individual and group dynamics in the development of conflict, Roy J. Eidelson & Eidelson (2003) identified five belief domains that are central in group conflict settings: vulnerability, injustice, distrust, superiority, and helplessness
. Drawn from the literature, the five domains function at dual levels, addressing core beliefs fundamental to the daily experiences of individuals and perceptions of collective core beliefs that represent the shared worldviews of the group
The flow of information activates our sensitivity and influences our worldviews in the context of our individual differences
Negative information from the media environment increases negative core beliefs and decreases subjective well-being
Negative beliefs increase the negative perceptions of China and increase the need for group affiliation
Greater group affiliation and negative attitudes toward China increase the propensity for endorsing aggressive conflict strategies
NBC announced it was producing 3000 hours of Olympics programming, a historic amount, and making video available online as well as video and text results delivered to mobile devices
PERSONAL BELIEFS
In the correlation analysis, generally Pearson product moment correlation procedures
LOT-R as measure for explanatory style showed correlations as expected with good effect size.
LOT-R measures outcome expectancies according to Carver and Sheier. The consensus is that there is a genetic basis to optimism; they drew on Erikson’s developmental model suggesting that optimism in influenced by early childhood experiences that foster trust and secure attachments.
PERSONAL BELIEFS
In the correlation analysis, generally Pearson product moment correlation procedures
LOT-R as measure for explanatory style showed correlations as expected with good effect size.
LOT-R measures outcome expectancies according to Carver and Sheier. The consensus is that there is a genetic basis to optimism; they drew on Erikson’s developmental model suggesting that optimism in influenced by early childhood experiences that foster trust and secure attachments.
BELIEFS ABOUT THE GROUP
Again, explanatory style correlates consistent with the model, decreasing core beliefs and increasing well-being
BELIEFS ABOUT THE GROUP
Broadcast correlations in keeping with model, positive relationship to beliefs, negative to LOT-R
New Media correlations in keeping with model, negative relationship to beliefs
Listing of variables for first part of regression analysis
Estimating model in two parts, phase 1 regressing each core belief and subjective well-being on media sources and explanatory style, at each level
PERSONAL BELIEFS
In the correlation analysis, generally Pearson product moment correlation procedures
LOT-R as measure for explanatory style showed correlations as expected with good effect size.
LOT-R measures outcome expectancies according to Carver and Sheier. The consensus is that there is a genetic basis to optimism; they drew on Erikson’s developmental model suggesting that optimism in influenced by early childhood experiences that foster trust and secure attachments.
Content preference at IG level. I have since read a couple of articles where research showed that radio listeners were more conservative and newspaper readers were more liberal which may mean that they offset one another when grouped as “traditional media” on reanalysis, however, the numbers separated did not add anything, although not significant, the directions of the correlations were opposing.
IGG level
New Media – 0.72 Superiority
Conservative Beliefs - .078 Injustice
LOT-R – only helplessness -.128
Hypothesis that change in media would results in change of beliefs not supported
Although beliefs did not change, two conflict measures did
In Phase 2 of the analysis
Variables for part 2 of regression analysis. Hypothesized that core beliefs would influence attitudes as measured by group affiliation, positive regard, and enemy image and that those would predict conflict strategies. Tested for potential mediating influence of group affiliation, positive regard, and enemy image, but it was not significant. Impact of beliefs on conflict strategies was not mediated by attitudes.
PERSONAL BELIEFS
In the correlation analysis, generally Pearson product moment correlation procedures
LOT-R as measure for explanatory style showed correlations as expected with good effect size.
LOT-R measures outcome expectancies according to Carver and Sheier. The consensus is that there is a genetic basis to optimism; they drew on Erikson’s developmental model suggesting that optimism in influenced by early childhood experiences that foster trust and secure attachments.
Ability of Americans to see China as multi-dimensional. Opinions about people significant more positive than about government at p <.01
Those who have traveled to China tend to have lower group affiliation, lower perceptions of China as an enemy and more positive regard for China.
Schacter & Festinger fears heightens desire for social comparisons and affiliation; cognitive dissonance
Olympics television coverage benign to positive
Challenge of creating media messages that not only lessen the negative, but reinforce the positive a la learned optimism. We know that negative emotions alter neurobiological activity; the same is true for positive emotions—electrochemical associations that play a large part in our emotional and physical health (immune system).