Aplicación de técnicas de Big Data Science para la gestión de crisis

A pesar de la existencia de una multitud de investigaciones sobre el análisis de sentimiento, existen pocos trabajos que traten el tema de su implantación práctica y real y su integración con la inteligencia de negocio y big data de tal forma que dichos análisis de sentimiento estén incorporados en una arquitectura (que soporte todo el proceso desde la obtención de datos hasta su explotación con las herramientas de BI) aplicada a la gestión de la crisis. Se busca, por medio de este trabajo, investigar cómo se pueden unir los mundos de análisis (de sentimiento y crisis) y de la tecnología (todo lo relacionado con la inteligencia de negocios, minería de datos y Big Data), y crear una solución de Inteligencia de Negocios que comprenda la minería de datos y el análisis de sentimiento (basados en grandes volúmenes de datos), y que ayude a empresas y/o gobiernos con la gestión de crisis. El autor se ha puesto a estudiar formas de trabajar con grandes volúmenes de datos, lo que se conoce actualmente como Big Data Science, o la ciencia de los datos aplicada a grandes volúmenes de datos (Big Data), y unir esta tecnología con el análisis de sentimiento relacionado a una situación real (en este trabajo la situación elegida fue la del proceso de impechment de la presidenta de Brasil, Dilma Rousseff). En esta unión se han utilizado técnicas de inteligencia de negocios para la creación de cuadros de mandos, rutinas de ETC (Extracción, Transformación y Carga) de los datos así como también técnicas de minería de textos y análisis de sentimiento. El trabajo ha sido desarrollado en distintas partes y con distintas fuentes de datos (datasets) debido a las distintas pruebas de tecnología a lo largo del proyecto. Uno de los datasets más importantes del proyecto son los tweets recogidos entre los meses de diciembre de 2015 y enero de 2016. Los mensajes recogidos contenían la palabra "Dilma" en el mensaje. Todos los twittees fueron recogidos con la API de Streaming del Twitter. Es muy importante entender que lo que se publica en la red social Twitter no se puede manipular y representa la opinión de la persona o entidad que publica el mensaje. Por esto se puede decir que hacer el proceso de minería de datos con los datos del Twitter puede ser muy eficiente y verídico. En 3 de diciembre de 2015 se aceptó la petición de apertura del proceso del impechment del presidente de Brasil, Dilma Rousseff. La petición fue aceptada por el presidente de la Cámara de los Diputados, el diputado Sr. Eduardo Cunha (PMDBRJ), y de este modo se creó una expectativa sobre el sentimiento de la población y el futuro de Brasil. También se ha recogido datos de las búsquedas en Google referentes a la palabra Dilma; basado en estos datos, el objetivo es llegar a un análisis global de sentimiento (no solo basado en los twittees recogidos). Utilizando apenas dos fuentes (Twitter y búsquedas de Google) han sido extraídos muchísimos datos, pero hay muchas otras fuentes donde es posible obtener informaciones con respecto de las opiniones de las personas acerca de un tema en particular. Así, una herramienta que pueda recoger, extraer y almacenar tantos datos e ilustrar las informaciones de una manera eficaz que ayude y soporte una toma de decisión, contribuye para la gestión de crisis.

Seniors in Second Life

Relatório de estágio apresentado à Escola Superior de Educação do Instituto Politécnico de Santarém para a obtenção do grau de mestre em Educação e Comunicação Multimédia

Commenting, sharing and tweeting news : Measuring online news participation

Social plugins for sharing news through Facebook and Twitter have become increasingly salient features on news sites. Together with the user comment feature, social plugins are the most common way for users to contribute. The wide use of multiple features has opened new areas to comprehensively study users’ participatory practices. However, how do these opportunities to participate vary between the participatory spaces that news sites affiliated with local, national broadsheet and tabloid news constitute? How are these opportunities appropriated by users in terms of participatory practices such as commenting and sharing news through Facebook and Twitter? In addition, what differences are there between news sites in these respects? To answer these questions, a quantitative content analysis has been conducted on 3,444 articles from nine Swedish online newspapers. Local newspapers are more likely to allow users to comment on articles than are national newspapers. Tweeting news is appropriated only on news sites affiliated with evening tabloids and national morning newspapers. Sharing news through Facebook is 20 times more common than tweeting news or commenting. The majority of news items do not attract any user interaction.

La perception des jeunes des effets de la vie sociale en ligne sur la socialisation

Méthodologie: Cadre conceptuel: interactionnisme symbolique ; socialisation.

Lecturas de la prensa popular: Un estudio de recepción del periódico Q'hubo en la localidad de Kennedy en Bogotá

En este trabajo de grado se aborda la relación entre las audiencias y los medios a partir de un estudio de recepción del diario Q’hubo en los sectores populares de Bogotá, específicamente en la localidad de Kennedy de esta ciudad. El estudio reconoce que las formas determinadas de interactuar con los medios están atadas a los contextos, las instituciones y los entornos culturales y sociales desde los que lector construye su realidad y se inserta en la sociedad actual. Por lo mismo, se nutre de estos elementos para entender los procesos de recepción a través de las formas cotidianas de consumo del diario Q’hubo frente al contexto mediático actual. Se sustenta que el Q’hubo se comunica con sus lectores combinando aspectos clásicos de la prensa popular y adaptando aspectos de diseño y lenguaje aportados por los nuevos medios. Lo que a su vez se relaciona con apropiaciones, usos y modos de leer de la audiencia, que reivindica interacciones tradicionales y desarrolla interacciones emergentes gracias a la convergencia de las tecnologías con la cultura letrada, oral y visual.

La comunicación política en la administración de Gustavo Petro 2012-2014

El objetivo central de esta tesis es analizar cómo ha sido la comunicación política de la administración de Gustavo Petro entre 2012 y 2014, determinando el nivel de democratización presente en esta. Desde sus inicios, la alcaldía de Gustavo Petro mostro una gran preocupación por el ámbito de comunicación, sin embargo, como se puede ver en el plan de desarrollo, le apunta a una comunicación participativa en donde la ciudadanía haga parte de la construcción, diseño e implementación de los programas de gobierno. Por lo tanto se parte de la hipótesis de que la comunicación política durante esta administración ha sido democrática en tanto que ha permitido hacer partícipe a la ciudadanía de su propio desarrollo, a través del dialogo constante. Lo anterior será visto desde una perspectiva teórica sobre la comunicación política democrática, para lo cual las variables direccionalidad y centralidad serán claves.

NairnonmanStore

El presente trabajo de grado para opta al título de Administración de empresas contiene una estrategia digital de mercadeo para un negocio de bicicletas, consta de un plan y selección de medios y de todos los conocimientos aprendidos en el curso Estrategias digitales para negocios. La estrategia se trata del lanzamiento de un producto para lograr posicionamiento y ventas para la marca Naironman Store.

Principios de la actividad electoral en la era digital : una aproximación al control administrativo colombiano de la propaganda electoral en Internet

El desarrollo tecnológico y la expansión de las formas de comunicación en Colombia, no solo trajeron consigo grandes beneficios, sino también nuevos retos para el Estado Moderno. Actualmente, la oferta de espacios de difusión de propaganda electoral ha aumentado, mientras persiste un marco legal diseñado para los medios de comunicación del Siglo XX. Por tanto, este trabajo no solo realiza un diagnóstico de los actuales mecanismos de control administrativo sobre la propaganda electoral en Internet, sino también propone unos mecanismos que garanticen los principios de la actividad electoral, siendo esta la primera propuesta en Colombia. Por el poco estudio del tema, su alcance es exploratorio, se basa en un enfoque jurídico-institucional. Se utilizaron métodos cualitativos de recolección de datos (trabajo de archivo y entrevistas) y de análisis (tipologías, comparaciones, exegesis del marco legal), pero también elementos cuantitativos como análisis estadísticos.

Analysis of COVID-related symptoms from a database of Italian tweets

Twitter is a highly popular social media which on one hand allows information transmission in real time and on the other hand represents a source of open access homogeneous text data. We propose an analysis of the most common self-reported COVID symptoms from a dataset of Italian tweets to investigate the evolution of the pandemic in Italy from the end of September 2020 to the end of January 2021. After manually filtering tweets actually describing COVID symptoms from the database - which contains words related to fever, cough and sore throat - we discuss usefulness of such filtering. We then compare our time series with the daily data of new hospitalisations in Italy, with the aim of building a simple linear regression model that accounts for the delay which is observed from the tweets mentioning individual symptoms to new hospitalisations. We discuss both the results and limitations of linear regression given that our data suggests that the relationship between time series of symptoms tweets and of new hospitalisations changes towards the end of the acquisition.

Participant association and emergent curriculum in a MOOC: can the community be the curriculum?

We investigated how participants associated with each other and developed community in a Massive Open Online Course (MOOC) about Rhizomatic Learning (Rhizo14). We compared learner experiences in two social networking sites (SNSs), Facebook and Twitter. Our combination of thematic analysis of qualitative survey data with analysis of participant observation, activity data, archives and visualisation of SNS data enabled us to reach a deeper understanding of participant perspectives and explore SNS use. Community was present in the course title and understood differently by participants. In the absence of explanation or discussion about community early in the MOOC, a controversy between participants about course expectations emerged that created oppositional discourse. Fall off in activity in MOOCs is common and was evident in Rhizo14. As the course progressed, fewer participants were active in Facebook and some participants reported feelings of exclusion. Despite this, activity in Facebook increased overall. The top 10 most active participants were responsible for 47% of total activity. In the Rhizo14 MOOC, both community and curriculum were expected to emerge within the course. We suggest that there are tensions and even contradictions between ‘Community Is the Curriculum’ and Deleuze and Guattari's principles of the rhizome, mainly focussed on an absence of heterogeneity. These tensions may be exacerbated by SNSs that use algorithmic streams. We propose the use of networking approaches that enable negotiation and exchange to encourage heterogeneity rather than emergent definition of community.

The space for social media in structured online learning

In this paper, we explore the benefits of using social media in an online educational setting, with a particular focus on the use of Facebook and Twitter by participants in a Massive Open Online Course (MOOC) developed to enable educators to learn about the Carpe Diem learning design process. We define social media as digital social tools and environments located outside of the provision of a formal university-provided Learning Management System. We use data collected via interviews and surveys with the MOOC participants as well as social media postings made by the participants throughout the MOOC to offer insights into how participants’ usage and perception of social media in their online learning experiences differed and why. We identified that, although some participants benefitted from social media by crediting it, for example, with networking and knowledge-sharing opportunities, others objected or refused to engage with social media, perceiving it as a waste of their time. We make recommendations for the usage of social media for educational purposes within MOOCs and formal digital learning environments.

Populism as a battlefield Populist actors and their representation on social and legacy media during the european parliament elections 2019 in Finland, Italy and the Netherlands

The objective of the present research is to describe and explain populist actors and populism as a concept and their representation on social and legacy media during the 2019 EU elections in Finland, Italy and The Netherlands. This research tackles the topic of European populism in the context of political communication and its relation to both the legacy and digital media within the hybrid media system. Departing from the consideration that populism and populist rhetoric are challenging concepts to define, I suggest that they should be addressed and analyzed through the usage of a combination of methods and theoretical perspectives, namely Communication Studies, Corpus Linguistics, Political theory, Rhetoric and Corpus-Assisted Discourse Studies. This thesis considers data of different provenance. On the one hand, for the Legacy media part, newspapers articles were collected in the three countries under study from the 1st until the 31st of May 2019. Each country’s legacy system is represented by three different quality papers and the articles were collected according to a selection of keywords (European Union Elections and Populism in each of the three languages). On the other hand, the Digital media data takes into consideration Twitter tweets collected during the same timeframe based on particular country-specific hashtags and tweets by identified populist actors. In order to meet the objective of this study, three research questions are posed and the analysis leading to the results are exhaustively presented and further discussed. The results of this research provide valuable and novel insights on how populism as a theme and a concept is being portrayed in the context of the European elections both in legacy and digital media and political communication in general.

Essays in Empirical Political Economics

This thesis takes two perspectives on political institutions. From the one side, it examines the long-run effects of institutions on cultural values. From the other side, I study strategic communication, and its determinants, of politicians, a pivotal actor inside those institutions. The first chapter provides evidence for the legacy of feudalism - a set of labor coercion and migration restrictions -, on interpersonal distrust. I combining administrative data on the feudal system in the Prussian Empire (1816 – 1849) with the geo-localized survey data from the German Socio-Economic Panel (1980 – 2020). I show that areas with strong historical exposure to feudalism have lower levels of inter-personal trust today, by means of OLS- and mover specifications. The second chapter builds a novel dataset that includes the Twitter handles of 18,000+ politicians and 61+ million tweets from 2008 – 2021 from all levels of government. I find substantial partisan differences in Twitter adoption, Twitter activity and audience engagement. I use established tools to measure ideological polarization to provide evidence that online-polarization follows similar trends to offline-polarization, at comparable magnitude and reaches unprecedented heights in 2018 and 2021. I develop a new tool to demonstrate a marked increase in affective polarization. The third chapter tests whether politicians disseminate distortive messages when exposed to bad news. Specifically, I study the diffusion of misleading communication from pro-gun politicians in the aftermath of mass shootings. I exploit the random timing of mass shootings and analyze half a million tweets between 2010 – 2020 in an event-study design. I develop and apply state-of-the-art text analysis tools to show that pro- gun politicians seek to decrease the salience of the mass shooting through distraction and try to alter voters’ belief formation through misrepresenting the causes of the mass shootings.

Essays in development and political economy

This thesis includes three papers studying diverse questions in development, economic history and political economy. The first two chapters, that fall under development and economic history, use novel forms of text data and analysis to answer the questions at hand. The first chapter studies the possible impact of a historically matrilineal and matrilocal caste group on present day outcomes of gender equality. It introduces a novel surname strategy using electoral data to deduce caste from the surnames of electors and overcomes the unavailability of caste data. It shows proof of persistence of caste in space. And finally, following a matching exercise it concludes that the effect of the matrilineal and matrilocal caste on present day gender outcomes might not be as strong as previously believed. The second paper studies how discriminatory fake news arises and spatially diffuses. It focuses on India at the onset of the COVID-19 pandemic: on March 30, a Muslim convention (the Tablighi Jamaat) in New Delhi became publicly recognized as a COVID hotspot, and the next day, fake news on Muslims intentionally spreading the virus spiked. Using Twitter data, it finds, in cross-sectional and difference-in-difference settings, that discriminatory fake news became much more widespread after March 30 (1) in New Delhi, (2) in districts closer to New Delhi, and (3) in districts with higher social media interactions with New Delhi. Further, it shows that, after March 30, discriminatory fake news was more common in districts historically exposed to attacks by Muslim groups. The final paper is a political economy paper that studies the short term and long term effect of earlier eligibility on voting in the context of a large North Italian municipality setting with little institutional barriers to voting. It also studies the differing mobilisation of members in the same household by newly eligible voters.