Who Posts Selfies and Why?: Personality, Attachment Style, and Mentalization as Predictors of Selfie Posting on Social Media

This study examines the phenomenon of selfie posting on social media and its relationship to narcissism, the Dark Triad, impulsivity, attachment style, rejection sensitivity, and reflective functioning. The sample was made up of 499 participants who completed an online survey consisting of personality measures and open- and closed-ended questions about selfie posting behavior. Data were analyzed using a negative binomial regression model. Results: The study found that individuals with high levels of the Dark Triad trait of psychopathy post more selfies on social media than do individuals with low levels of the trait. The Dark Triad trait of narcissism was also found to be significantly related to selfie posting, with narcissistic men posting significantly more selfies than narcissistic women. Furthermore, the study found that individuals with high levels of motor and non-planning impulsivity posted significantly more selfies than individuals with lower levels of those traits. This study also found a (marginally non-significant) trend whereby vulnerable narcissism and anxious attachment were predictive of increased selfie posting. Participants with higher levels of reflective functioning were found to post fewer selfies on social media, as were individuals high in rejection sensitivity. Grandiose narcissism, subclinical narcissism, avoidant attachment, and attentional impulsivity were not found to be significantly related to increased selfie posting on social media. Open-ended questions revealed some interesting anecdotal material about possible motivations for posting selfies on social media. In sum, the study’s findings shed light on a number of traits that are predictive of selfie posting on social media. Clinical implications, limitations, and directions for future research are discussed

A LATENT CLASS ANALYSIS PREDICTIVE MODELING APPROACH TO PROFILE DIVISION I COLLEGIATE ATHLETES FOR NUTRITION AND RELATIVE ENERGY DEFICIENCY IN SPORT (RED-S) CONCERN

Screening collegiate athletes for nutrition-related concerns and low energy syndromes such as Relative Energy Deficiency in Sport (RED-S) provides insight for nutrition care and can lead to necessary referrals in the sports medicine team. Screening may be a part of an athletic department’s protocol, but there is a lack of consensus on a validated tool for this population. The goal of this cross-sectional research was to use a Latent Class Analysis (LCA) predictive modeling approach to determine classes of collegiate athletes who present with nutrition and RED-S concern. LCA is a person-centered approach, intending to uncover subgroups of a population with common characteristics. A total of 216 athletes (144 female, 72 male) at a Division I university competing in various team sports completed a pre-participation nutrition screening survey prior to participation in athletic sports. Measures such as menstrual function, bone health, disordered eating, restrictive diets, food insecurity, body image, and nutrition knowledge were collected. For female athletes, the LCA model provided some clinical relevance that female athletes can be profiled into a two-class solution, providing practitioners and sports dietitians insight into profiling athletes who may be at risk for low energy syndromes. For male athletes, there was not enough evidence that a two-class solution was superior to a one-class solution, highlighting the need for high-quality low energy syndrome tools to be developed in the male collegiate athlete population. Future research should consider large sample sizes of athletes to conduct predictive modeling techniques along with high quality, validated measurement tools

Success factors of social influencers – multiple dimensions and contingencies of a prosperous campaign

Social Influencer haben sich zu einem mächtigen Mittel der Marketing-Kommunikation entwickelt. Gegenwärtig übersteigt die Höhe der Ausgaben für Social Influencer Marketing die der traditionellen Werbung (wie Fernsehspots, Print- oder Plakatwerbung). Angesichts des großen Einflusses, den Social Influencer auf Konsumenten haben können, stellt sich die Frage, wie man eine Influencer-Kampagne erfolgreich durchführt. Erste Ansätze haben Engagement-Variablen berücksichtigt - z. B. die Anzahl der Follower eines Influencers. Allerdings haben sich diese Ansätze oft genug als zu schlicht und eindimensional erwiesen. Tatsächlich beruht der Erfolg eines Influencer-Endorsements auf einem komplexen System von Erfolgsfaktoren, deren Bedeutung variieren kann. Dazu gehören unter anderem Faktoren, die in der Person des Influencers liegen, das Zusammenspiel zwischen Influencer und Zielgruppe, das Setup von Influencer und Marke/Produkt, der Kommunikationsstil des Influencers und die Vermeidung von Influencer-Fehlverhalten. Diese Elemente können miteinander verbunden sein und auch in gegenseitigem Konflikt stehen. Die vorliegende Dissertation widmet sich der Erforschung dieses komplexen Systems und der Schließung von Forschungslücken. Das erste Modul (1 Beitrag) legt ein Fundament, indem die drei Faktoren Attraktivität, Expertise und Vertrauenswürdigkeit untersucht werden. Im zweiten Modul, das zwei Forschungsarbeiten umfasst, wird das Zusammenspiel zwischen Influencer, Konsument und Marke/Produkt behandelt. Das erste Paper fokussiert die Persönlichkeit und untersucht die Übereinstimmung der Influencer-Persönlichkeit mit dem tatsächlichen und gewünschten Selbstkonzept des Konsumenten sowie mit der Markenpersönlichkeit. Dabei wird auch die moderierende Rolle des Produktinvolvements berücksichtigt. Im zweiten Beitrag wird das Zusammenspiel von Influencer- und Konsumentenattraktivität sowie Geschlecht untersucht. Das dritte Modul (4 Beiträge) konzentriert sich auf die Erfolgsfaktoren für verschiedene Produktarten bzw. Endorsement-Anlässe; dabei wird ein starker Bezug zur Kommunikation des Influencers hergestellt. Paper 1 und 2 ziehen eine grundsätzliche Grenze zwischen hedonischen und utilitaristischen Produkten und untersuchen die Bedeutung von Kommunikationsstil, Faktizität, Expertise und demographischer Ähnlichkeit. Der dritte Beitrag untersucht die Rolle der Attraktivität und Expertise von Influencern für attraktivitätsbezogene und nicht-attraktivitätsbezogene Produkte. Der vierte Beitrag schließlich diskutiert die Besonderheiten eines Influencer-Endorsements im Non-Profit-Kontext. Im letzten Modul werden die Schattenseiten des Influencer-Marketings, nämlich die schädliche Wirkung von Skandalen, in einem Beitrag beleuchtet. Diese Arbeit verdeutlicht die Vielfalt und Kontingenz der Faktoren, die ein erfolgreiches Influencer Endorsement ausmachen. Alle Faktoren müssen gegeneinander abgewogen und diskutiert werden; dabei spielen Unterschiede wie die angesprochene Zielgruppe oder das beworbene Produkt bzw. Anliegen eine große Rolle. Die Ergebnisse liefern wertvolle Implikationen für Praktiker vieler Branchen, um ihre Influencer-Kampagnen erfolgreich zu gestalten und umzusetzen. Ebenso eröffnen die Ergebnisse viele Perspektiven für zukünftige Forschung. Ein großes Forschungspotenzial kann in einer qualitativen Ergänzung der durchgeführten quantitativen Studien liegen. Auf diese Weise könnten die Gedanken, Gefühle und Handlungsabsichten von Influencern, Konsumenten und Praktikern, die die Grundlage der vorliegenden Ergebnisse bilden, aufgedeckt werden

Three Facets of Online Political Networks: Communities, Antagonisms, and Polarization

abstract: Millions of users leave digital traces of their political engagements on social media platforms every day. Users form networks of interactions, produce textual content, like and share each others' content. This creates an invaluable opportunity to better understand the political engagements of internet users. In this proposal, I present three algorithmic solutions to three facets of online political networks; namely, detection of communities, antagonisms and the impact of certain types of accounts on political polarization. First, I develop a multi-view community detection algorithm to find politically pure communities. I find that word usage among other content types (i.e. hashtags, URLs) complement user interactions the best in accurately detecting communities. Second, I focus on detecting negative linkages between politically motivated social media users. Major social media platforms do not facilitate their users with built-in negative interaction options. However, many political network analysis tasks rely on not only positive but also negative linkages. Here, I present the SocLSFact framework to detect negative linkages among social media users. It utilizes three pieces of information; sentiment cues of textual interactions, positive interactions, and socially balanced triads. I evaluate the contribution of each three aspects in negative link detection performance on multiple tasks. Third, I propose an experimental setup that quantifies the polarization impact of automated accounts on Twitter retweet networks. I focus on a dataset of tragic Parkland shooting event and its aftermath. I show that when automated accounts are removed from the retweet network the network polarization decrease significantly, while a same number of accounts to the automated accounts are removed randomly the difference is not significant. I also find that prominent predictors of engagement of automatically generated content is not very different than what previous studies point out in general engaging content on social media. Last but not least, I identify accounts which self-disclose their automated nature in their profile by using expressions such as bot, chat-bot, or robot. I find that human engagement to self-disclosing accounts compared to non-disclosing automated accounts is much smaller. This observational finding can motivate further efforts into automated account detection research to prevent their unintended impact.Dissertation/ThesisDoctoral Dissertation Computer Science 201

#Moment: Creating Moments of Truth Through Experiential Interior Design

Interior Design is a multi-billion dollar industry that employs a variety of sensorial elements to shape perception and create positive Moments of Truth. Part science and part art, design practices must adapt as market demands shift. The influence of today’s digital market exposes gaps whereby sensorial elements of space are overlooked, resulting in skewed Moments of Truth. This paper examines the aesthetic experience as part of a proposed business design equation wherein each sense and design element influences the holistic spatial experience. A presentation of research will follow, wherein application of the equation demonstrates a framework for how to develop interior space holistically to communicate the desired Moment of Truth. This examination of aesthetic perception and experiential actuality advances the science behind design, and empowers industry players to understand how to design and communicate more effectively to better satisfy aesthetic demands while still meeting the needs of the human condition

The role of absorptive capacity and organizational unlearning in the link between social media and service dominant orientation

Purpose – This paper aims to study the relationship between the knowledge obtained in social networks by firms together with the firms’ knowledge absorptive capacity and organizational unlearning as influencers of service-dominant (S-D) orientation, as well as the mediating role of absorption capacity and organizational unlearning in this process. Design/methodology/approach – The sample amounts to 101 responding companies, obtained from the SABI database. The companies belong to the service sector in Spain and have at least 50 employees and 5 years or more of existence in the market. The model was estimated through partial least squares structural equation modeling with smartPLS software 3.2.6. Findings – The results show that the use of social media is very important for firms to acquire knowledge and capabilities that help them to become S-D oriented. In addition, absorptive capacity and unlearning processes are dynamic capabilities necessary to transform the knowledge acquired in social media and to become S-D oriented. Research limitations/implications – Companies’ managers draw conclusions that can generate great value, while better meeting the needs and desires of the market, the more knowledge is obtained. In addition, the use of the knowledge generated in this process will reduce the risk of sudden changes in the market. Practical implications – The more knowledge is gained using social networks, the better the companies’ managers will be able to draw conclusions that can generate great value, while at the same time better satisfying the needs and desires of the market, and thus create capacities that allow the company to be service-oriented. In addition, the use of these knowledge platforms strengthens the strategic advantage of companies through the promotion of innovation and by relating dynamic capabilities with the orientation toward sustainable development. As mentioned above, a process will be generated that will reduce the risk of sudden changes in the market. Originality/value – This is one of the few studies trying to study the antecedents of S-D orientation and the first to study the direct effect of social media use, and the direct and indirect effect of absorptive capacity and organizational unlearning on S-D orientation as dynamic capabilities.Foundation for Science and Technology UIDB/04630/202

2019 Oklahoma Research Day Full Program

Oklahoma Research Day 2019 - SWOSU Celebrating 20 years of Undergraduate Research Successes

Proceedings of the International Workshop on EuroPLOT Persuasive Technology for Learning, Education and Teaching (IWEPLET 2013)

"This book contains the proceedings of the International Workshop on EuroPLOT Persuasive Technology for Learning, Education and Teaching (IWEPLET) 2013 which was held on 16.-17.September 2013 in Paphos (Cyprus) in conjunction with the EC-TEL conference. The workshop and hence the proceedings are divided in two parts: on Day 1 the EuroPLOT project and its results are introduced, with papers about the specific case studies and their evaluation. On Day 2, peer-reviewed papers are presented which address specific topics and issues going beyond the EuroPLOT scope. This workshop is one of the deliverables (D 2.6) of the EuroPLOT project, which has been funded from November 2010 – October 2013 by the Education, Audiovisual and Culture Executive Agency (EACEA) of the European Commission through the Lifelong Learning Programme (LLL) by grant #511633. The purpose of this project was to develop and evaluate Persuasive Learning Objects and Technologies (PLOTS), based on ideas of BJ Fogg. The purpose of this workshop is to summarize the findings obtained during this project and disseminate them to an interested audience. Furthermore, it shall foster discussions about the future of persuasive technology and design in the context of learning, education and teaching. The international community working in this area of research is relatively small. Nevertheless, we have received a number of high-quality submissions which went through a peer-review process before being selected for presentation and publication. We hope that the information found in this book is useful to the reader and that more interest in this novel approach of persuasive design for teaching/education/learning is stimulated. We are very grateful to the organisers of EC-TEL 2013 for allowing to host IWEPLET 2013 within their organisational facilities which helped us a lot in preparing this event. I am also very grateful to everyone in the EuroPLOT team for collaborating so effectively in these three years towards creating excellent outputs, and for being such a nice group with a very positive spirit also beyond work. And finally I would like to thank the EACEA for providing the financial resources for the EuroPLOT project and for being very helpful when needed. This funding made it possible to organise the IWEPLET workshop without charging a fee from the participants.

Analyzing the boundaries of balance theory in evaluating cause-related marketing compatibility

The phenomenon of brands partnering with causes is referred to as cause-related marketing (CRM). This dissertation provides numerous steps forward within the realm of CRM research, as well as balance theory research. Some CRM partnerships may seem less compatible than others, but the level of perceived compatibility (also referred to as “fit”) differs from consumer to consumer. I analyzed CRM compatibility through the lens of balance theory both via a survey-based approach, as well as a social media analytics approach. My contributions to CRM and balance theory are as follows: I found that a consumer’s attitude towards a brand, along with their attitude towards a cause, predicts their perceptions of CRM compatibility. I also show that adding continuous measures of attitude and attitude strength enabled the prediction of balanced and unbalanced consumer evaluations of perceived CRM compatibility. This is the first time that attitude strength has been incorporated into balance theory. I found evidence that a consumer’s attitude towards a brand (or towards a cause), and the strength of that attitude, can spill from one organization to another when brands and causes enter into CRM partnerships. Methodologically, I present a novel way to indirectly measure the strength of attitudes towards brands and towards causes through analyzing perceived conversation topic similarity via a self-reported survey measure, but I was not able to provide evidence that attitude strength could be measured via a social media analytics approach to conversation topic similarity. To dig deeper into this lack of social media analytics results, I provide some considerations with regards to research conducted using a hybridization of a survey-based approach tied to a social media analytics approach. Practically, I share recommendations as to how to choose CRM partners for future CRM partnerships, which should prove beneficial to CRM researchers, practitioners, and advertisers