It’s about finding the courage to face your reality head-on and make the changes necessary for a healthier, more fulfilling life. When cognitive dissonance and addiction collide, it’s like adding fuel to an already raging fire. The addict’s mind becomes a battleground where logic and desire wage a never-ending war. They might know, on an intellectual level, that their substance use is destroying their Substance abuse relationships, career, and health. Yet, they continue to use, trapped in a cycle of self-destructive behavior that seems impossible to break. Adolescent exposures to other substances of abuse, such as alcohol, cannabis, and MDMA, also cause persistent disruptions of cognition (Brown et al., 2000; O’Shea, McGregor, and Mallet, 2006; Piper and Meyer, 2004; Stiglick and Kalant, 1982).
2. Structural Equation Model
Internal consistency reliability is a statistical method used to measure the consistency and reliability of tests or actual measurements in the research. It determines the degree of measurement error, which ensures that the test results are stable, consistent, trustworthy, and reliable. Two commonly used methods for testing internal consistency reliability are Cronbach’s Alpha coefficient (CA) and Construct reliability (CR). This study used Cronbach’s α coefficient to measure the consistency of the questionnaire as a pre-test reliability measure. The α coefficient ranges from 0 to 1, with a value greater than 0.7 indicating that it is trustworthy and a value greater than 0.9 representing very high trustworthiness. The composite reliability value represents the internal consistency of the construct indicators, and a value of 0.7 is acceptable 86, with a recommended value of 0.6 or higher 87.
Research Hypotheses and Model
She genuinely loves helping people on their journey to recovery and brings a friendly, down-to-earth vibe to every session. John’s strengths are being able to work in any clinical area of the Elevate Program. On a daily basis John is coordinating with the clinical team to ensure each client receives the care and attention they deserve to face their substance use disorders head on, and gain all the tools the Elevate Program has to offer, to ensure lasting sobriety and success in life. John is very passionate about helping people and making sure things are not falling through the cracks.
- Friends and relatives who learn that an addict holds a negative view of drug (or behavior) and is motivated to quit may be surprised to learn of a sudden shift in preference for the drug.
- A better understanding of how substances of abuse change cognitive processes is needed to develop new therapeutic agents to treat addiction and ameliorate cognitive deficits.
- In particular, a simplification of functions should be prioritized, including removing or altering uncommon functions while emphasizing frequently used features, such as the ability to pause or return in the live broadcast interface.
- The type of substance use shown in these posts was perceived as recreational and not problematic.
- They don‘t explicitly like saying sic like I’m having so much fun with my friends and stuff.
1. Implicit versus explicit cognition.
- Because people want to avoid discomfort, cognitive dissonance can have a wide range of effects.
- The present paper provides a brief review of cognitive factors related to addiction.
- When Festinger and Carlsmith (1959) revealed counterattitudinal advocacy changed people’s attitudes more when it was done in response to a small incentive rather than a large incentive it became immediately controversial.
- The discomfort (dissonance) motivates individuals to decrease the inconsistency between one’s wishes and beliefs.
Linder, Cooper & Jones (1967) suspected that some of the changes made in Rosenberg’s replication were not trivial, but vitally important. We tested the idea that participants in Rosenberg’s research had not been given a choice in whether to write their attitude-discrepant essay whereas Festinger & Carlsmith’s participants had volunteered to make their counterattitudinal statements. In a balanced replication, we showed that decision freedom was a crucial moderator of the dissonance effect. With decision freedom set high, people changed their attitudes as predicted by dissonance theory, but dissonance did not operate when people were forced to behave. There are two ways in which this elegantly straightforward experiment upended traditional thinking. Within social psychology, the study made clear that dissonance theory was not the same as previous balance theories.
- The social group takes paramount importance in social identity theory because it is one of the major roots of people’s self-worth.
- The opportunity for social media to reach young people online, or meet them where they are at, is substantial.
- The observer was a member of the same social group as the writer and we predicted that the observer would experience cognitive dissonance.
- Fifth, some researchers have explored how affective factors, such as frustration and dissatisfaction, may impact users’ information avoidance intention, leading to discontinuous usage 36,37.
- Even in recovery, individuals may still battle cognitive dissonance and justify relapses.
- She genuinely loves helping people on their journey to recovery and brings a friendly, down-to-earth vibe to every session.
For example, behaving in ways that are not aligned with your personal values may result in intense feelings of discomfort. Your behavior contradicts not just the beliefs you have about the world, but also the beliefs that you have about yourself. This is particularly true if the disparity between their beliefs and behaviors involves something that is central to their sense of self. Cognitive dissonance is the uncomfortable feeling that can occur when you have conflicting beliefs, values, or behaviors. These same regions underlie declarative memory—the memories that define an individual, without which it would be difficult to generate and maintain a concept of self (Cahill and McGaugh, 1998; Eichenbaum, 2000; Kelley, 2004; Setlow, 1997).
Supporting fast fashion
Cognitive dissonance theory suggests that cognitive consistency is the basic principle of user information processing. Jeong et al. 43 suggested that the cognitive dissonance of users’ opposing views negatively affects discontinuous usage behavior. This study investigated the mechanism behind the discontinuous usage intention of users of pan-entertainment mobile live broadcasts.
Cognitive Dissonance and the Discomfort of Holding Conflicting Beliefs
- In principle, the vicarious hypocrisy procedure can be adapted for an entire social group.
- Cognitive dissonance can be caused by feeling forced to do something, learning new information, or when faced with a decision between two similar choices.
- Scher & Cooper (1989) compared the role of consistency between cognitions with the role of consequences.
- The behavioral intention part of the framework refers to the likelihood of an individual engaging in a particular behavior, which in this study refers to stopping the use of the pan-entertainment mobile live broadcast platform.
- Cognitively, they may experience internal debates and justifications, which further exacerbate the psychological struggle.
We can all engage in habits that cause harm to ourselves or the world, and that can cause cognitive dissonance. This article provides cognitive dissonance addiction some examples of cognitive dissonance, discusses the signs, and offers some suggestions on how to cope with it. I know that using drugs/alcohol might cause me to lose my drivers’ license, employment, spouse, health or freedom, but I continue to use because it helps me keep my anger under control. Recognizing cognitive dissonance is the first step toward addressing and resolving internal conflict.
When asked about this congruence, Participant 30 described how both PSA and drug education are ‘telling me to like not like do drugs and stuff’. These formal sources of messaging differed in language and content while conveying the same overarching abstinence message. Participant 8 shared that in their experience, school-based messages emphasize the adverse effects of using substances, while prevention messages on social media emphasize that substance use is uncool. Vicarious hypocrisy raises an exciting new possibility for translating dissonance theory from experimental research to real-life application that would help people work to improve their health. The irony is that people generally agree with pro-health behaviors, but fail to have sufficient motivation to do them. The smoker wants to quit, the obese person wants to exercise and diet, the sunbather wants to be protected from skin cancer.
A premature application of theory into practice, however, can be risky for both uses, as such an application can lead to incorrect application of the theory because the theory was not sufficiently researched before it is applied. On the other hand, exclusive interest in theory building risks an indulgence on nuance while missing the opportunity to demonstrate the usefulness of our theoretical understanding. In a subsequent analysis, Stone & Cooper (2001) challenged Thibodeau & Aronson’s analysis of hypocrisy. We argued that hypocrisy creates dissonance because people’s recall and awareness of their past behavior is, by definition, the recollection of a potential aversive consequence. Recalling the decision not to use condoms is, in itself, remembering when you freely behaved in a way that could have caused AIDS or unwanted pregnancy. In our view, speaking in favor of what you believed aroused dissonance because it brought to awareness your prior decision to act in a way that could have had gravely aversive foreseeable consequences.
This technology employs a distributed machine learning approach, which assumes that users’ data is not stored on a centralized server but is instead kept confidential on the users’ edge devices, such as smartphones. By training the AI model on the user’s mobile device and transferring only information about the parameters obtained from the training back to a global model, Federated Learning can significantly improve user privacy compared to traditional machine learning approaches. While data collection is a necessary aspect of AI-driven systems, it is equally important to implement technical measures to prevent unauthorized disclosure of personal information, thereby preserving the privacy of users. A model of the predictors of the discontinuous usage intention of pan-entertainment mobile live broadcast platforms. Self-efficacy has a moderating effect on the relationship between service overload and cognitive dissonance among users of the pan-entertainment mobile live broadcast platform. Self-efficacy has a moderating effect on the relationship between user addiction and cognitive dissonance among users of the pan-entertainment mobile live broadcast platform.