Using Expectancy-Value Theory to predict intent to conform in elementary school students

The present study sought to examine the relevance of expectancy-value theory in predicting conformity in elementary school students. Measures of self-expectancy and value for five different domains (academic, sports, dating, misbehavior, and following trends) were used to predict intended conformity to friend group norms. Regression analysis was used to measure the strength of the relationship in each domain. Results indicate that the expectancy-value model explained more variance in intent to conform than did general conformity in certain domains, and results varied by gender of participant

CAM2: Conformity-Aware Multi-Task Ranking Model for Large-Scale Recommender Systems

Learning large-scale industrial recommender system models by fitting them to historical user interaction data makes them vulnerable to conformity bias. This may be due to a number of factors, including the fact that user interests may be difficult to determine and that many items are often interacted with based on ecosystem factors other than their relevance to the individual user. In this work, we introduce CAM2, a conformity-aware multi-task ranking model to serve relevant items to users on one of the largest industrial recommendation platforms. CAM2 addresses these challenges systematically by leveraging causal modeling to disentangle users' conformity to popular items from their true interests. This framework is generalizable and can be scaled to support multiple representations of conformity and user relevance in any large-scale recommender system. We provide deeper practical insights and demonstrate the effectiveness of the proposed model through improvements in offline evaluation metrics compared to our production multi-task ranking model. We also show through online experiments that the CAM2 model results in a significant 0.50% increase in aggregated user engagement, coupled with a 0.21% increase in daily active users on Facebook Watch, a popular video discovery and sharing platform serving billions of users.Comment: Accepted by WWW 202

Conditionals, Individual Variation, and the Scorekeeping Task

In this manuscript we study individual variation in the interpretation of conditionals by establishing individual profiles of the participants based on their behavioral responses and reflective attitudes. To investigate the participants’ reflective attitudes we introduce a new experimental paradigm called the Scorekeeping Task, and a Bayesian mixture model tailored to analyze the data. The goal is thereby to identify the participants who follow the Suppositional Theory of conditionals and Inferentialism and to investigate their performance on the uncertain and-to-if inference task

The experience of facilitators and participants of long term condition self-management group programmes: a qualitative synthesis

Objective: Our aim was to systematically review the qualitative literature about the experiences of both facilitators and participants in a range of group-based programmes to support the self-management of long-term conditions. Methods: We searched 7 databases using the terms ‘self-management’, ‘group’ and ‘qualitative’. Full text articles meeting the inclusion criteria were retrieved for review. A thematic synthesis approach was used to analyse the studies. Results: 2126 articles were identified and 24 were included for review. Group participants valued being with similar others and perceived peer support benefits. Facilitators (HCP and lay) had limited group specific training, were uncertain of purpose and prioritised education and medical conformity over supportive group processes and the promotion of self-management agency and engagement. Overall, studies prioritised positive descriptions. Conclusion: Group programmes’ medical self-management focus may reduce their ability to contribute to patient-valued outcomes. Further research is needed to explore this disconnect. Practice implications: This review supports broadening the scope of group-based programmes to foreground shared learning, social support and development of agency. It is of relevance to developers and facilitators of group self-management programmes and their ability to address the burden of long-term conditions

Examining Ray Bradbury’s Dystopian Vision: A Philosophical Analysis of His Literary Works and Their Nuanced Impact on Contemporary Realities

This paper examines the philosophical implications of Ray Bradbury’s literary contributions and their impact on modern society. Through the analysis of two opposing articles that reference selective works, it explores Bradbury’s impact on ongoing philosophical discussions, specifically centering on themes such as censorship, conformity, and the preservation of individual identity and freedom. The contrasting viewpoints presented contribute to a compelling analysis of Bradbury’s ideas and their relevance in the context of today’s world

Social conformity and autism spectrum disorder : a child-friendly take on a classic study

Perhaps surprisingly, given the importance of conformity as a theoretical construct in social psychology and the profound implications autism has for social function, little research has been done on whether autism is associated with the propensity to conform to a social majority. This study is a modern, child-friendly implementation of the classic Asch conformity studies. The performance of 15 children with autism was compared to that of 15 typically developing children on a line judgement task. Children were matched for age, gender and numeracy and literacy ability. In each trial, the child had to say which of three lines a comparison line matched in length. On some trials, children were misled as to what most people thought the answer was. Children with autism were much less likely to conform in the misleading condition than typically developing children. This finding was replicated using a continuous measure of autism traits, the Autism Quotient questionnaire, which showed that autism traits negatively correlated with likelihood to conform in the typically developing group. This study demonstrates the resistance of children with autism to social pressure

Putting the Horse Before the Cart:A Generator-Evaluator Framework for Question Generation from Text

Automatic question generation (QG) is a useful yet challenging task in NLP. Recent neural network-based approaches represent the state-of-the-art in this task. In this work, we attempt to strengthen them significantly by adopting a holistic and novel generator-evaluator framework that directly optimizes objectives that reward semantics and structure. The {\it generator} is a sequence-to-sequence model that incorporates the {\it structure} and {\it semantics} of the question being generated. The generator predicts an answer in the passage that the question can pivot on. Employing the copy and coverage mechanisms, it also acknowledges other contextually important (and possibly rare) keywords in the passage that the question needs to conform to, while not redundantly repeating words. The {\it evaluator} model evaluates and assigns a reward to each predicted question based on its conformity to the {\it structure} of ground-truth questions. We propose two novel QG-specific reward functions for text conformity and answer conformity of the generated question. The evaluator also employs structure-sensitive rewards based on evaluation measures such as BLEU, GLEU, and ROUGE-L, which are suitable for QG. In contrast, most of the previous works only optimize the cross-entropy loss, which can induce inconsistencies between training (objective) and testing (evaluation) measures. Our evaluation shows that our approach significantly outperforms state-of-the-art systems on the widely-used SQuAD benchmark as per both automatic and human evaluation.Comment: 10 pages, The SIGNLL Conference on Computational Natural Language Learning (CoNLL 2019

The Effect of Financial Systems on Earnings Management Among Firms Reporting Under IFRS

This study examines the relation between financing system and earnings management and changes in the patterns of earnings management activities over time. Prior research suggests that managers are more likely to manage earnings in a credit financing system because the purpose of the financial reporting in this credit environment is to protect creditors by prudently calculating distributable profit. In addition, multinational enterprises financial reporting tends to be anchored in their home countrys practices and responsive to their national requirements. Using 121 firm-year observations of non-U.S. firms reporting under IFRS, we find some evidence that firms from credit financing systems manage earnings more than firms from equity financing systems. We find that firms in a credit financing environment report 1.6% higher in absolute discretionary accruals than equity firms. However, we did not find evidence that overall earnings management activities have decreased as the IASBs Comparability/Improvements Project went into effect after 1995. This finding suggests that the IASB has not been effective in narrowing down the international differences in accounting practices and providing comparable financial statements to the public