Previous research has shown that appearance-related pressures from multiple sources can influence body esteem in emerging adults. Furthermore, research has shown that self-compassion and gender play a role in body image and the relation between sociocultural pressures and body esteem. Less research has examined how these variables interact in their association with body esteem in emerging adults. Thus, the current study sought to assess these interactions. Participants (N = 877; 492 women) were primarily White (78.9% for women and 76.4% for men) and ranged in age from 18 to 28 (M = 18.70 for women and 19.10 for men). Participants completed an online survey with measures assessing appearance-related pressures, self-compassion, and body esteem. Results indicated a significant main effect of appearance-pressure from mothers on weight body esteem in women and a significant interaction of maternal appearance-related pressure and self-compassion on appearance body esteem in men.

Body image dissatisfaction at moderate levels can be a normative experience for many women of current American culture. However, women whose body dissatisfaction exceeds moderate levels are vulnerable to developing an eating disorder. Empirical findings show body dissatisfaction predicts low self-esteem, depression, and overall poor quality of life. Various theories aim to understand factors involved in the development and maintenance of body dissatisfaction. Sociocultural factors, such as peers, family, and media, have gained the greatest empirical support. The tripartite influence model of body image dissatisfaction and eating disturbance integrates sociocultural factors, and has been empirically tested to evaluate risk factors using an established theoretical model. However, this model has primarily been applied to Caucasian samples. A recent trend in the body image literature is increasing attention to ethnic differences in body image. Jews are an ethnic minority who has been virtually ignored in the empirical literature on body image; yet, studies suggest Jewish females experience body dissatisfaction. To date, no published empirical study has applied the tripartite influence model to Jewish American females. A sociocultural model can potentially increase understanding of body dissatisfaction among Jewish American females. This study used the tripartite influence model to examine relationships among variables (Jewish identity, parental influence, internalization of appearance) hypothesized to relate to body image dissatisfaction. Participants were 255 self-identified Jewish American women who completed a web-based survey measuring these constructs. Results showed a significant, yet weak, relationship between Jewish identity and body dissatisfaction. Contrary to prediction, Jewish women perceived greater pressure from fathers to lose weight than mothers, and no difference in pressure from both parents to gain weight and gain muscle. As perceived pressure from fathers to lose weight increases, women reported greater body dissatisfaction. A significant but weak relationship was found between perceived pressure from fathers to gain muscle and body dissatisfaction. The more women internalize media messages promoting the thin ideal for women, women reported less body satisfaction. A significant but low correlation was found between women who endorsed the "toned," athletic body ideal and body dissatisfaction.

This thesis introduces a new model to the field of social dynamics in which each node in a network moves to the mass center of the opinions in its neighborhood weighted by the changing certainty each node has in its own opinion. An upper bound of O(n) is proved for the number of timesteps until this model reaches a stable state. A second model is also analyzed in which nodes move to the mass center of the opinions of the nodes in their neighborhood unweighted by the certainty those nodes have in their opinions. This second model is shown to have a O(d) time complexity, where d is the diameter of the network, on a tree and is compared with a very similar model presented in 2013 by Frischknecht, Keller, and Wattenhofer who found a lower bound on some networks of Ω(3). 2 / Graduate

¡mAbstract¡n This research examines six presses of Kaohsiung journalists', China Times, Liberty Times, United Daily News, Taiwan Times, Taiwan Shin Wen Daily News, and Public Daily News, the intra-organization media usage for Media Richness and Social Influence Model. It tests four media which are face to face, telephone, e-mail, and written document, and tests which one is suitable for Kaohsiung journalists use in formal communication and informal communication. The result is that the most journalist use face to face as their intra-organization media. Not only testing media usage, this research is also examining the prediction of media usage by Media Richness and Social Influence Model. The result is except downward communication media usage which lacks sufficient samples, the other communication flows' media usage prediction are Media Richness explanation of predicting media usage is better than Social Influence Model. For each press, face to face is the main choice for six presses' journalists in upward communication, horizontal communication and downward communication flow. However, United Daily News' journalists use written document as the main media in informal communication, but the other presses' still use face to face The finding in formal and upward communication, the prediction of media usage by Media Richness and Social Influence Model in Liberty Times doesn¡¦t have significant level. Meanwhile, Liberty Times and Taiwan Shin Wen News' prediction of media usage in horizontal communication don¡¦t have significant level. At last, there are only Liberty Times and Public Daily News's media usage prediction have significant level in informal communication. Keywords:intra-organization, media usage, face to face, telephone, e-mail, written document, formal communication, informal communication, upward communication, horizontal communication, downward communication, Media Richness, Social Influence Model.

No description available.

網際網路的成長，促使電子商務快速發展。然而，回顧電子商務的市場現況，即使網路購物規模不斷成長，但是卻仍有54.9%的網路商店未能達到損益平衡，主要原因在於激烈的市場競爭環境導致商品毛利率降低，獲利速度減緩。因此，資策會認為網路商店若想在競爭市場中脫穎而出，網站的技術安全必須值得消費者信任。 　　消費者不願意在網路上購買商品或服務，是因為缺乏對網路購物相關安全性的信任與缺乏對網路上企業可靠性的信任。因此，如何建立消費者對網路商店的「信任」，是企業獲得顧客的關鍵因素。 　　過去文獻指出，信任信念能藉由改善網站的結構性確保來提升，且消費者對網站的信任信念會影響到其信任網站的態度。因此，本研究根據文獻探討的方式找出Cialdini影響力模式及其所會影響的消費者信任信念的各個構面，並利用此模式作為結構性確保的實驗變數來設計網站，從中操弄各項實驗變數以探討各種不同影響力原則影響消費者信任信念之效果。接著，再進一步分析各個信任信念分別如何影響消費者的信任態度，以全盤了解消費者初次瀏覽網路商店網站時，利用Cialdini影響力模式所歸納的網站結構性確保所影響之效果。 　　本研究透過實驗室實驗法模擬網路商店的購物情境，並操控不同Cialdini影響力原則所設計的結構性確保，研究結果發現： 1. 除了「好感」原則的結構性確保外，網站中其餘的結構性確保在消費者瀏覽網路商店時，皆會正向影響到消費者的信任信念。 2. 消費者的「認知診斷」、「認知保證」、「認知信心」、「認知能力」、「認知可靠」、「認知嚮往」等信任信念的各個構面，會正向影響消費者的「信任態度」。 / The e-commerce environment has developed rapidly with the fast growth of Internet. However, by reviewing the market status of e-commerce, there were still 54.9% of Internet shops which couldn’t make the profit and loss balance even the internet shopping was growing constantly. The environment was so competitive that the profit margin of product reduced and the rate of making profits slowed down. Therefore, the Institute for Information Industry advised internet shops to enhance their internet security of websites if they wanted to stand out from the competitive environment. 　Consumers are not willing to purchase the products or services due to the lack of trust in the security of the website and credibility of the internet shops. For this reason, the key to gain the consumers is how to make them trust the internet shops. 　Past researches indicated that the consumer’s trusting beliefs can be enhanced by improving the structural assurance of the website. In addition, these trusting beliefs were positively related to the trusting attitude toward the website. Therefore, we identified the constructs of the trusting beliefs which could be affected by Cialdini’s Influence Model from literature review. We used this model to design the structural assurances of the website as experimental variables to probe the differences of consumer’s trusting beliefs under the model’s principles. Furthermore, we understand the effect of structural assurance by analyzing how the constructs of trusting beliefs affected consumers’ trusting attitude when consumers visit the Internet shop at the first time. 　This research manipulated the principles of Cialdini’s Influence Model to design the structural assurance of website and simulated the situation of internet shopping via laboratory experimentation. The research result was shown as below: 1.　The structural assurances designed by Cialdini’s Influence Model were positively related to the trusting beliefs of consumers except the “Liking” principle. 2.　The constructs of consumer’s trusting beliefs were related to the trusting attitude toward the website positively and respectively.

Diverses disciplines se sont intéressées à l’anorexie mentale au cours des dernières décennies et ont proposé différents modèles pour l’expliquer. Celui qui domine actuellement, le modèle biopsychosocial, permet de comprendre comment cette problématique se met en place au niveau proximal. Toutefois, une question perdure : existe-t-il une fonction biologique à ce trouble? Il s‘agit de l’énigme que les chercheurs adoptant une perspective évolutionniste ont tenté de résoudre. Plusieurs hypothèses ont été proposées et celles-ci seront revues et critiquées dans le cadre de ce mémoire. Ensuite, une hypothèse alternative, l’hypothèse de la compétition intrasexuelle pour le rang, sera présentée et visera à accroître la valeur explicative des modèles proposés. Il sera argumenté que la restriction alimentaire et les troubles qui en découlent sont des sous-produits de l’intensification de la compétition qui existe entre les femmes dans la culture occidentale moderne. Un projet de recherche mené auprès d’étudiantes universitaires a permis de tester certaines des prédictions faites par le modèle évolutionniste par des analyses corrélationnelles et de régression, en plus de tester l’intégration de la variable compétition au modèle de l’influence tripartite grâce à une analyse des pistes causales (Path analysis). Il a été découvert que la comparaison, la compétition et le rang subjectif en lien avec l’apparence physique sont toutes des variables liées à la recherche de minceur. Étant donné la portée limitée de cette étude, davantage de recherches seront nécessaires afin de bien démontrer la pertinence du modèle. / Various disciplines developed an interest in anorexia nervosa during the last decades and presented different models to explain it. The biopsychosocial model, currently prevailing, allows to understand how this issue takes place on a proximal level. However, one question remains : is there a biological function to this disorder? This is the enigma that researchers adopting an evolutionary perspective tried to solve. Several hypotheses have been formulated and those will be reviewed and criticized in the context of this master’s thesis. Thereafter, an alternative hypothesis, the intrasexual competition for rank hypothesis, will be presented and will aim to increase the explanatory value of the proposed models. It will be argued that self-starvation and disorders resulting from this behavior are by-product of the intensified competition existing between women in modern Western culture. A research project conducted among female university students permitted to test some of the predictions made by this evolutionary model via correlation and regression analysis, and to test the integration of the competition variable to the tripartite influence model with a Path analysis. It was discovered that comparison, competition and subjective rank related to physical appearance are all variables related to drive for thinness. Given the limited scope of this study, more research is needed to fully demonstrate the relevance of this model.

[ES] El análisis de sentimientos en redes sociales se ha estudiado ampliamente durante la última década. A pesar de ello, las distintas categorías de sentimientos no se consideran adecuadamente en muchos casos, y el estudio de patrones de difusión de las emociones es limitado. Por lo tanto, comprender la importancia de emociones específicas será más beneficioso para diversas actividades de marketing, toma de decisiones empresariales y campañas políticas. Esta tesis doctoral se centra en el diseño de un marco teórico para analizar el amplio espectro de sentimientos y explicar cómo se propagan las emociones utilizando conceptos de redes temporales y multicapa. Particularmente, nuestro objetivo es proporcionar información sobre el modelado de la influencia de las emociones y como esta afecta a los problemas de estimación de las emociones y a la naturaleza dinámica temporal en la conversación social. Para mostrar la eficacia del modelo propuesto, se han recopilado publicaciones relacionadas con diferentes eventos de Twitter y hemos construido una estructura de red temporal sobre la conversación. En primer lugar, realizamos un análisis de sentimientos adoptando un enfoque basado en el léxico y en el modelo circunflejo de emociones de Russell que mejora la efectividad de la caracterización del sentimiento. A partir de este análisis investigamos la dinámica social de las emociones presente en las opiniones de los usuarios analizando diferentes características de influencia social. A continuación, diseñamos un modelo estocástico temporal basado en emociones para investigar el patrón de participación de los usuarios y predecir las emociones significativas. Nuestra contribución final es el desarrollo de un modelo de influencia secuencial basado en emociones mediante la utilización de redes neuronales recurrentes que permiten predecir emociones de una manera más completa. Finalmente, el documento presenta algunas conclusiones y también describe las direcciones de investigación futuras. / [CA] L'anàlisi de sentiments en xarxes socials s'ha estudiat àmpliament durant l'última dècada. Malgrat això, les diferents categories de sentiments no es consideren adequadament en molts casos, i l'estudi de patrons de difusió de les emocions és limitat. Per tant, comprendre la importància d'emocions específiques serà més beneficiós per a diverses activitats de màrqueting, presa de decisions empresarials i campanyes polítiques. Aquesta tesi doctoral se centra en el disseny d'un marc teòric per a analitzar l'ampli espectre de sentiments i explicar com es propaguen les emocions utilitzant conceptes de xarxes temporals i multicapa. Particularment, el nostre objectiu és proporcionar informació sobre el modelatge de la influència de les emocions i com aquesta afecta als problemes d'estimació de les emocions i a la naturalesa dinàmica temporal en la conversa social. Per a mostrar l'eficàcia del model proposat, s'han recopilat publicacions relacionades amb diferents esdeveniments de Twitter i hem construït una estructura de xarxa temporal sobre la conversa. En primer lloc, realitzem una anàlisi de sentiments adoptant un enfocament basat en el lèxic i en el model circumflex d'emocions de Russell que millora l'efectivitat de la caracterització del sentiment. A partir d'aquesta anàlisi investiguem la dinàmica social de les emocions present en les opinions dels usuaris analitzant diferents característiques d'influència social. A continuació, dissenyem un model estocàstic temporal basat en emocions per a investigar el patró de participació dels usuaris i predir les emocions significatives. La nostra contribució final és el desenvolupament d'un model d'influència seqüencial basat en emocions mitjançant la utilització de xarxes neuronals recurrents que permeten predir emocions d'una manera més completa. Finalment, el document presenta algunes conclusions i també descriu les direccions d'investigació futures. / [EN] Sentiment analysis in social networks has been widely analysed over the last decade. Despite the amount of research done in sentiment analysis in social networks, the distinct categories are not appropriately considered in many cases, and the study of dissemination patterns of emotions is limited. Therefore, understanding the significance of specific emotions will be more beneficial for various marketing activities, policy-making decisions and political campaigns. The current PhD thesis focuses on designing a theoretical framework for analyzing the broad spectrum of sentiments and explain how emotions are propagated using concepts from temporal and multilayer networks. More precisely, our goal is to provide insights into emotion influence modelling that solves emotion estimation problems and its temporal dynamics nature on social conversation. To exhibit the efficacy of the proposed model, we have collected posts related to different events from Twitter and build a temporal network structure over the conversation. Firstly, we perform sentiment analysis with the adaptation of a lexicon-based approach and the circumplex model of affect that enhances the effectiveness of the sentiment characterization. Subsequently, we investigate the social dynamics of emotion present in users' opinions by analyzing different social influential characteristics. Next, we design a temporal emotion-based stochastic model in order to investigate the engagement pattern and predict the significant emotions. Our ultimate contribution is the development of a sequential emotion-based influence model with the advancement of recurrent neural networks. It offers to predict emotions in a more comprehensive manner. Finally, the document presents some conclusions and also outlines future research directions. / Naskar, D. (2022). Temporal Emotion Dynamics in Social Networks [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/180997