Diseño e Implementación de un robot de conocimiento para la extracción de información de los Social Media y Web

Las transformaciones tecnológicas y de información que está experimentando la sociedad, especialmente en la última década, está produciendo un crecimiento exponencial de los datos en todos los ámbitos de la sociedad. Los datos que se generan en los diferentes ámbitos se corresponden con elementos primarios de información que por sí solos son irrelevantes como apoyo a las tomas de decisiones. Para que estos datos puedan ser de utilidad en cualquier proceso de decisión, es preciso que se conviertan en información, es decir, en un conjunto de datos procesados con un significado, para ayudar a crear conocimiento. Estos procesos de transformación de datos en información se componen de diferentes fases como la localización de las fuentes de información, captura, análisis y medición.Este cambio tecnológico y a su vez de la sociedad ha provocado un aumento de las fuentes de información, de manera que cualquier persona, empresas u organización, puede generar información que puede ser relevante para el negocio de las empresas o gobiernos. Localizar estas fuentes, identificar información relevante en la fuente y almacenar la información que generan, la cual puede tener diferentes formatos, es el primer paso de todo el proceso anteriormente descrito, el cual tiene que ser ejecutado de manera correcta ya que el resto de fases dependen de las fuentes y datos recolectados. Para la identificación de información relevante en las fuentes se han creado lo que se denomina, robot de búsqueda, los cuales examinan de manera automática una fuente de información, localizando y recolectando datos que puedan ser de interés.En este trabajo se diseña e implementa un robot de conocimiento junto con los sistemas de captura de información online para fuentes hipertextuales y redes sociales.

VOX POPULI: THREE ESSAYS ON THE USE OF SOCIAL MEDIA FOR VALUE CREATION IN SERVICES

Prior research shows that electronic word of mouth (eWOM) wields considerable influence over consumer behavior. However, as the volume and variety of eWOM grows, firms are faced with challenges in analyzing and responding to this information. In this dissertation, I argue that to meet the new challenges and opportunities posed by the expansion of eWOM and to more accurately measure its impacts on firms and consumers, we need to revisit our methodologies for extracting insights from eWOM. This dissertation consists of three essays that further our understanding of the value of social media analytics, especially with respect to eWOM. In the first essay, I use machine learning techniques to extract semantic structure from online reviews. These semantic dimensions describe the experiences of consumers in the service industry more accurately than traditional numerical variables. To demonstrate the value of these dimensions, I show that they can be used to substantially improve the accuracy of econometric models of firm survival. In the second essay, I explore the effects on eWOM of online deals, such as those offered by Groupon, the value of which to both consumers and merchants is controversial. Through a combination of Bayesian econometric models and controlled lab experiments, I examine the conditions under which online deals affect online reviews and provide strategies to mitigate the potential negative eWOM effects resulting from online deals. In the third essay, I focus on how eWOM can be incorporated into efforts to reduce foodborne illness, a major public health concern. I demonstrate how machine learning techniques can be used to monitor hygiene in restaurants through crowd-sourced online reviews. I am able to identify instances of moral hazard within the hygiene inspection scheme used in New York City by leveraging a dictionary specifically crafted for this purpose. To the extent that online reviews provide some visibility into the hygiene practices of restaurants, I show how losses from information asymmetry may be partially mitigated in this context. Taken together, this dissertation contributes by revisiting and refining the use of eWOM in the service sector through a combination of machine learning and econometric methodologies.

Exploring value creation with Social Media use in hotels

En la última década las tecnologías de Social Media han revolucionado el entorno competitivo, reinventando la forma de relacionarse con los clientes. En el sector hotelero, hoteles de todo el mundo están usando dichas herramientas para atraer a los clientes, estableciendo conversaciones colaborativas con ellos que vayan forjando vínculos emocionales con la marca. Asimismo, los hoteles se han dado cuenta de que herramientas Social Media se han convertido en facilitadoras de estrategias CRM (Gestión de Relaciones con Clientes), por lo que están integrando el uso de ambas herramientas para conocer mejor a sus clientes. No obstante, a pesar de la gran relevancia y del uso generalizado de Social CRM, la eficacia de dichas herramientas y su impacto en la creación de valor han sido aspectos poco analizados en estudios previos. Asimismo, la escasa investigación existente parece indicar que los hoteles no están aprovechando todo su potencial transformador. Con objeto de explorar la temática, el presente trabajo propone un marco teórico en el que se analiza cómo los hoteles pueden beneficiarse del uso de Social Media (uso de redes sociales y de sitios de revisión), examinando su impacto en resultados e introduciendo el papel mediador de las capacidades de gestión de relación con clientes usando Social Media. El trabajo supone una primera aproximación teórica al fenómeno, y constituye una base para la realización de futuros análisis empíricos.

Flooded with Information from Social Media: Effects of Disaster Information Source and Visuals on Viewers' Cognitive, Affective, and Behavioral Responses

While a variety of crisis types loom as real risks for organizations and communities, and the media landscape continues to evolve, research is needed to help explain and predict how people respond to various kinds of crisis and disaster information. For example, despite the rising prevalence of digital and mobile media centered on still and moving visuals, and stark increases in Americans’ use of visual-based platforms for seeking and sharing disaster information, relatively little is known about how the presence or absence of disaster visuals online might prompt or deter resilience-related feelings, thoughts, and/or behaviors. Yet, with such insights, governmental and other organizational entities as well as communities themselves may best help individuals and communities prepare for, cope with, and recover from adverse events. Thus, this work uses the theoretical lens of the social-mediated crisis communication model (SMCC) coupled with the limited capacity model of motivated mediated message processing (LC4MP) to explore effects of disaster information source and visuals on viewers’ resilience-related responses to an extreme flooding scenario. Results from two experiments are reported. First a preliminary 2 (disaster information source: organization/US National Weather Service vs. news media/USA Today) x 2 (disaster visuals: no visual podcast vs. moving visual video) factorial between-subjects online experiment with a convenience sample of university students probes effects of crisis source and visuals on a variety of cognitive, affective, and behavioral outcomes. A second between-subjects online experiment manipulating still and moving visual pace in online videos (no visual vs. still, slow-pace visual vs. still, medium-pace visual vs. still, fast-pace visual vs. moving, slow-pace visual vs. moving, medium-pace visual vs. moving, fast-pace visual) with a convenience sample recruited from Amazon’s Mechanical Turk (mTurk) similarly probes a variety of potentially resilience-related cognitive, affective, and behavioral outcomes. The role of biological sex as a quasi-experimental variable is also investigated in both studies. Various implications for community resilience and recommendations for risk and disaster communicators are explored. Implications for theory building and future research are also examined. Resulting modifications of the SMCC model (i.e., removing “message strategy” and adding the new category of “message content elements” under organizational considerations) are proposed.

Organizaciones no gubernamentales y social media. Análisis de las estrategias comunicativas

La presente investigación analiza el empleo de las herramientas propias del social media en la planificación estratégica de comunicación de las organizaciones no gubernamentales (ONG). La metodología empleada para conocer la situación actual en España ha combinado el análisis de contenido de las publicaciones en redes sociales y blogs de las principales ONG españolas y la entrevista semi-estructurada a los responsables de las mismas. Las conclusiones apuntan a que el uso de los recursos propios de la web 2.0, especialmente las redes sociales, ha ido incrementándose en el seno de este tipo de organizaciones pero aun no ha alcanzado todo su potencial.

Planeamento em social media : elaboração de um plano de social media marketing para a empresa The Bakery Crossfit

Mestrado em Marketing

Pinning Down Identity in Social Media: Food Cultural Transfer on Pinterest

This research has been conducted within the realm of where today’s digital media society and the timeless concept of cultural identity overlap. The aim of this thesis is to explore the nature of online cultural identity management. By focusing on the social media platform, Pinterest, this study considers the food-pinning behavior of a group of Americans living in Finland and connects their online actions with their cultural identity. Through an examination of Pinterest as a social space, and even a third place, the relative theoretical literature provides and interesting background for a contemporary discussion on the matter. Literature on food as a cultural marker is also brought into consideration. Using the methods of introspection and an adapted version of virtual ethnography, a study was conducted, and ultimately, the analysis of data obtained from the Pinterest boards of ten individuals shows that the vast majority of food-related information in this setting is US-sourced. A questionnaire provides further insight into the individuals’ Pinterest usage. I argue that pinning is an act of online identity management, whether it is a conscious act or a situational effect, and that using Pinterest maintains and even strengthens these individuals’ cultural identity as Americans. This study adds to current discussions pertaining to transnationalism, globalization, and online cultural identity, as well as opens channels for further research on this dynamic topic, which is needed to understand ourselves as cultural beings in the digital age.

Linguistic expression of irony in social media

Dissertação de Mestrado, Ciências da Linguagem, Faculdade de Ciências Humanas e Sociais, Universidade do Algarve, 2014

Integrating social media tools in a web portal

Benefitting from Web 2.0 features, Social Media allows organisations to be where the users are, creating proximity, talking to them, and knowing what they want. Going viral and word-of-mouth become easier, as these platforms allow us to share, to like, and to use multimedia and convergence – as they can interact with each other, communicating on a large scale. Given that online portals provide for a highly competitive environment, players strive to get more visits, better search rankings, and even aspire to be the homepage for the Web universe. We discuss the integration of Social Media tools in a Web Portal, and explore how using these together may improve the competitiveness of a Web Portal. A large Web Portal was selected to develop this case study. We found that, although for this particular Web Portal conditions were created to accommodate and integrate the chosen Social Media platforms, this was done in an organic and fluid way, with great focus on community construction and less focus on absorptive capacity. Based on the findings of this case study, we propose a dynamic cycle of benefits for integrating Social Media tools in a Web Portal.

Progettazione e prototipazione di un sistema di Social Media Monitoring

I sistemi di Social Media Monitoring hanno l'obiettivo di analizzare dati provenienti da social media come social network, forum e blog (detti User-Generated Content) per trarre un quadro generale delle opinioni degli utenti a proposito di un particolare argomento. Il progetto di tesi si pone l'obiettivo di progettare e creare un prototipo per un sistema di Social Media Monitoring concentrato in particolare sull'analisi di contenuti provenienti da Twitter.

Can Technologies and Social Media Accelerate Cuba's Democratization?

This flyer promotes a lecture by Cuban blogger and independent journalist Yoani Sanchez, founder of the blog Generacion Y and one of Time Magazine's 100 most influential people in the world. This lecture was held at the Wertheim Performing Arts Center at FIU Modesto A. Maidique Campus on April 1,2013.

Travelers’ use of social media: A clustering approach

Research regarding the use of social media among travelers has mainly focused on its impact on travelers’ travel planning process and there is consensus that travel decisions are highly influenced by social media. Yet, little attention has been paid to the differences among travelers regarding their use of social media for travel purposes. Based on the use of travel social media, cluster analysis was employed to identify different segments among travelers. Furthermore, the study profiles the clusters based on demographic and other travel related characteristics. The findings of this study are important to online marketers to better understand traveler’s use of social media and their characteristics, in order to adapt online marketing strategies according to the profile of each segment.

Travelers’ use of social media: A clustering approach

Research regarding the use of social media among travelers has mainly focused on its impact on travelers’ travel planning process and there is consensus that travel decisions are highly influenced by social media. Yet, little attention has been paid to the differences among travelers regarding their use of social media for travel purposes. Based on the use of travel social media, cluster analysis was employed to identify different segments among travelers. Furthermore, the study profiles the clusters based on demographic and other travel related characteristics. The findings of this study are important to online marketers to better understand traveler’s use of social media and their characteristics, in order to adapt online marketing strategies according to the profile of each segment.

Hunting the Beast on YouTube : The framing of nature in social media

Humans’ perceived relationship to nature and non-human lifeforms is fundamental for sustainable development; different framings of nature – as commodity, as threat, as sacred etc. – imply different responses to future challenges. The body of research on nature repre-sentations in various symbolic contexts is growing, but the ways in which nature is framed by people in the everyday has received scant attention. This paper aims to contribute to our understanding of the framing of nature by studying how wild-boar hunting is depicted on YouTube. The qualitative frame analysis identified three interrelated frames depicting hunting as battle, as consumption, and as privilege, all of which constitute and are constituted by the underlying notion of human as superior to nature. It is suggested that these hegemonic nature frames suppress more constructive ways of framing the human-nature relationship, but also that the identification of such potential counter-hegemonic frames enables their discursive manifestation.

Words and Emotional Work: Classification Theory’s Constructs Useful for the Analysis of Social Media Data in Terms of Gender, Race, and Sexuality

Presents constructs from classification theory and relates them to the study of hashtags and other forms of tags in social media data. Argues these constructs are useful to the study of the intersectionality of race, gender, and sexuality. Closes with an introduction to an historical case study from Amazon.com.