11 research outputs found

    Use of Scopus and WoS in literature reviews for doctoral theses. Procedures and functions

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    Fundamentals of the use of literature reviews in doctoral theses. Use of the Scopus and Web of Science databases for literature reviews and scoping reviews. Use with Mendeley. Advanced search functions. Boolean operators. Parametric search. Use of the results page. Using the record for information discovery functions

    Use of Scopus and WoS in literature reviews for doctoral theses. A case study illustration

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    Presentation of a case study and practical guidelines for conducting a scoping review using academic databases. Emphasis on the SALSA framework and its phases, while underscoring key steps for academic writing and dissemination

    Scopus AI Beta: an谩lisis funcional y casos

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    Academic databases are a fundamental source for identifying relevant literature in a field of study. Scopus contains more than 90 million records and indexes around 12,000 documents per day. However, this context and the cumulative nature of science itself make it difficult to selectively identify information. In addition, academic database search tools are not very intuitive, and require an iterative and relatively slow process of searching and evaluation. In response to these challenges, Elsevier has launched Scopus AI, currently in its Beta version. As the product is still under development, the current user experience is not representative of the final product. Scopus AI is an artificial intelligence that generates short synthesis of the documents indexed in the database, based on instructions or prompts. This study examines the interface and the main functions of this tool and explores it on the basis of three case studies. The functional analysis shows that the Scopus AI Beta interface is intuitive and easy to use. Elsevier's AI tool allows the researcher to obtain an overview of a problem, as well as to identify authors and approaches, in a more agile search session than conventional search. Scopus AI Beta is not a substitute for conventional search in all cases, but it is an accelerator of academic processes. It is a valuable tool for literature reviews, construction of theoretical frameworks and verification of relationships between variables, among other applications that are actually impossible to delimit

    Scopus AI Beta: functional analysis and cases

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    Academic databases are a fundamental source for identifying relevant literature in a field of study. Scopus contains more than 90 million records and indexes around 12,000 documents per day. However, this context and the cumulative nature of science itself make it difficult to selectively identify information. In addition, academic database search tools are not very intuitive, and require an iterative and relatively slow process of searching and evaluation. In response to these challenges, Elsevier has launched Scopus AI, currently in its Beta version. As the product is still under development, the current user experience is not representative of the final product. Scopus AI is an artificial intelligence that generates short synthesis of the documents indexed in the database, based on instructions or prompts. This study examines the interface and the main functions of this tool and explores it on the basis of three case studies. The functional analysis shows that the Scopus AI Beta interface is intuitive and easy to use. Elsevier's AI tool allows the researcher to obtain an overview of a problem, as well as to identify authors and approaches, in a more agile search session than conventional search. Scopus AI Beta is not a substitute for conventional search in all cases, but it is an accelerator of academic processes. It is a valuable tool for literature reviews, construction of theoretical frameworks and verification of relationships between variables, among other applications that are actually impossible to delimit

    La mediatizaci贸n de la pandemia: el caso de las infograf铆as sobre la COVID-19 en la prensa digital espa帽ola

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    Tutor: Carlos Alberto ScolariTreball de fi de M脿ster en Recerca en Comunicaci贸 SocialLa COVID-19 es un fen贸meno sin precedentes en la historia moderna. La cobertura medi谩tica de esta pandemia se caracteriza por la utilizaci贸n de recursos visuales. Infograf铆as y visualizaciones de datos se difunden a diario para informar sobre la evoluci贸n del coronavirus. Sin embargo, hay pocas investigaciones que traten la comunicaci贸n visual de epidemias y pandemias en los medios de comunicaci贸n. Este proyecto pretende sentar las bases de una futura tesis doctoral. El objetivo general es estudiar la mediatizaci贸n la COVID-19 a trav茅s de las infograf铆as difundidas por los principales peri贸dicos digitales espa帽oles durante el brote. Se presenta una propuesta metodol贸gica inicial fundamentada en la narratolog铆a, la semi贸tica y los grupos de discusi贸n. Una primera fase de an谩lisis permitir谩 identificar las estructuras narrativas de las infograf铆as y su enunciaci贸n. Posteriormente, el estudio de la percepci贸n e interpretaci贸n de los lectores permitir谩 obtener una visi贸n hol铆stica sobre la mediatizaci贸n de este fen贸menoCOVID-19 is an unprecedented phenomenon in modern history. Coverage of this pandemic has been distinctive for the use of visual resources. Infographics and data visualizations are broadcasted daily to report on the evolution of COVID-19. However, there is a lack of research related to visual communication of epidemics and pandemics in the media. This project aims to lay the foundation for a future doctoral thesis. The general objective is to study COVID-19 mediatization through infographics broadcasted by the main Spanish digital newspapers thoughout the outbreak. This project presents an initial methodological proposal based on narratology, semiotics and focus group. A first phase of analysis will allow identifying the infographics鈥 narrative structures and their enunciation. Subsequently, the study of readers' perception and interpretation will provide a holistic perspective of how this phenomenon has been mediatize

    1-O: qui escriu la hist貌ria? L'agenda setting de TV3 i La 1 i l'autocomunicaci贸 de masses a Twitter

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    Aquesta dissertaci贸 centra el focus en l'agenda setting i l'autocomunicaci贸 de masses i les aplica a l'1 d'octubre de 2017, el dia que Catalunya va celebrar un refer猫ndum d'autodeterminaci贸. L'1-O ha esdevingut un dels successos m茅s rellevants de la hist貌ria recent de Catalunya i Espanya. Han passat m茅s de 2 anys, per貌 les conseq眉猫ncies d'aquella jornada s'estan vivint en l'actualitat i estan dibuixant el futur d'aquests dos territoris. L'objectiu principal d'aquesta dissertaci贸 茅s determinar si les tecnologies de la informaci贸 i la comunicaci贸 (TIC) promouen la participaci贸 de ciutadania en el proc茅s de l'agenda setting. L'agenda setting 茅s un dels corrents acad猫mics m茅s estesos en l'脿mbit de recerca de la comunicaci贸. Aquesta teoria estudia la transfer猫ncia tem脿tica dels mitjans de comunicaci贸 a l'audi猫ncia controlant aix铆 la seva promin猫ncia en el debat p煤blic. D'altra banda, els nous dispositius han donat lloc a una nova forma de comunicaci贸: l'autocomunicaci贸 de masses que es caracteritza per la capacitat d'autocomunicaci贸 i autoorganitzaci贸 dels usuaris. Plataformes com Twitter s'han erigit com els canals idonis per facilitar l'exposici贸 de not铆cies i interactuar amb altres usuaris en temps real. No obstant aix貌, actualment, la televisi贸 continua sent un dels mitjans de comunicaci贸 de refer猫ncia. La televisi贸 t茅 una influ猫ncia significativa a causa del seu discurs visual, que permet el p煤blic viure els esdeveniments. Per determinar si les TIC promouen la participaci贸 ciutadana en el proc茅s de l'agenda setting, s'analitzar脿 la cobertura informativa de TV3 i La 1 juntament amb els comentaris de Twitter de l'1 d'octubre de 2017. Aix貌 tamb茅 revelar脿 si les TIC permeten la ciutadania contrarestar el discurs dels mitjans de comunicaci贸 i quines conseq眉猫ncies t茅 per a la societat actual.This dissertation focuses on the agenda setting and mass self-communication approaches and applies them to 1st October 2017, the day Catalonia held a self-determination referendum. This day, consequently, became one of the most relevant events in the recent history of Catalonia and Spain. It has been more than 2 years since 1-O, but the consequences of that day are still felt today and are painting the future of these two territories. The main purpose of this dissertation is to determine if information and communication technologies (ICT) promote citizen participation in the agenda setting process. Agenda setting is one of the widest used approaches in communication research. It focuses on the exposure given by media to selected issues thereby controlling its prominence in public debate. On the other hand, new devices have given rise to a new form of communication: mass self-communication, which is characterized by the capability of users to self-communicate and self-organize. Platforms such as Twitter have emerged as ideal channels to facilitate the exposure of news and events with other users in real-time. However, television continues to be one of the main media outlets and due to its visual discourse, allowing the audience to live events, it has significant influence. To determine whether ICT promote citizen participation in the agenda setting process, TV3 and La 1 news coverage along with Twitter comments from 1-O will be analysed. This will also reveal if ICT allow citizenship to counteract the media discourse and what the consequences are for society today.Esta disertaci贸n centra el foco en la agenda setting y la autocomunicaci贸n de masas y las aplica al 1 de octubre de 2017, el d铆a que Catalu帽a celebr贸 un refer茅ndum de autodeterminaci贸n. El 1-O se ha convertido en uno de los sucesos m谩s relevantes de la historia reciente de Catalu帽a y Espa帽a. Han pasado m谩s de 2 a帽os, pero las consecuencias de aquella jornada se est谩n viviendo en la actualidad y est谩n dibujando el futuro de estos dos territorios. El objetivo principal de esta disertaci贸n es determinar si las tecnolog铆as de la informaci贸n y la comunicaci贸n (TIC) promueven la participaci贸n de ciudadan铆a en el proceso de la agenda setting. La agenda setting es una de las corrientes acad茅micos m谩s extendidos en el 谩mbito de investigaci贸n de la comunicaci贸n. Esta teor铆a estudia la transferencia tem谩tica de los medios de comunicaci贸n a la audiencia controlando as铆 su prominencia en el debate p煤blico. Por otra parte, los nuevos dispositivos han dado lugar a una nueva forma de comunicaci贸n: la autocomunicaci贸n de masas que se caracteriza por la capacidad de autocomunicaci贸n y autoorganizaci贸n de los usuarios. Plataformas como Twitter han erigido como los canales id贸neos para facilitar la exposici贸n de noticias e interactuar con otros usuarios en tiempo real. Sin embargo, actualmente, la televisi贸n sigue siendo uno de los medios de comunicaci贸n de referencia. La televisi贸n tiene una influencia significativa debido a su discurso visual, que permite al p煤blico vivir los acontecimientos. Para determinar si las TIC promueven la participaci贸n ciudadana en el proceso de la agenda setting, se analizar谩 la cobertura informativa de TV3 y La 1 junto con los comentarios de Twitter del 1 de octubre de 2017. Esto tambi茅n revelar谩 si las TIC permiten la ciudadan铆a contrarrestar el discurso de los medios de comunicaci贸n y qu茅 consecuencias tiene para la sociedad actual

    Use of Scopus and WoS in literature reviews for doctoral theses: a case study illustration

    No full text
    Presentation of a case study and practical guidelines for conducting a scoping review using academic databases. Emphasis on the SALSA framework and its phases, while underscoring key steps for academic writing and dissemination

    Use of Scopus and WoS in literature reviews for doctoral theses: procedures and functions

    No full text
    Fundamentals of the use of literature reviews in doctoral theses. Use of the Scopus and Web of Science databases for literature reviews and scoping reviews. Use with Mendeley. Advanced search functions. Boolean operators. Parametric search. Use of the results page. Using the record for information discovery functions

    Curso de utilizaci贸n de bases de datos acad茅micas y de buscadores con inteligencia artificial

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    Presentaci贸n de las fases y los procedimientos principales b煤squeda en bases de datos acad茅micas y en buscadores con inteligencia artificial. Fases y procedimientos. Uso de Scopus. Uso de Web ofScience. Uso de Elicit, Perplexity y otros modelos de IA. Tipolog铆a de prompts para modelos de IA con usos acad茅micos. Sugerencia de actividades

    Scopus AI Beta: an谩lisis funcional y casos

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    Las bases de datos acad茅micas son una fuente fundamental para identificar investigaciones relevantes en un campo de estudio. Scopus contiene m谩s de 90 millones de registros e indexa unos 12.000 documentos al d铆a. Sin embargo, este contexto y la propia naturaleza acumulativa de la ciencia dificultan la identificaci贸n selectiva de informaci贸n. Adem谩s, las herramientas de b煤squeda de las bases de datos acad茅micas son poco intuitivas, y exigen un proceso iterativo y relativamente lento de b煤squeda y evaluaci贸n. En respuesta a estos retos, Elsevier ha lanzado Scopus AI, actualmente en su versi贸n Beta. Al tratarse de un producto en desarrollo, la experiencia de usuario actual no es representativa del producto final. Scopus AI es una inteligencia artificial que genera s铆ntesis de documentos indexados en la base de datos a partir de instrucciones o prompts. Este estudio examina la interfaz y las principales funciones de esta herramienta y la explora a partir de tres casos pr谩cticos. El an谩lisis funcional muestra que la interfaz de Scopus AI Beta es intuitiva y f谩cil de usar. La herramienta de IA de Elsevier permite al investigador obtener una visi贸n general de un problema, as铆 como identificar autores y enfoques, en una sesi贸n de b煤squeda m谩s 谩gil que la b煤squeda convencional. Scopus AI Beta no sustituye la b煤squeda convencional en todos los casos, pero constituye una aceleradora de los procesos acad茅micos. Es una herramienta valiosa para la elaboraci贸n de revisiones de la literatura, la construcci贸n de marcos te贸ricos y la verificaci贸n de relaciones entre variables, entre otras aplicaciones que en realidad son imposibles de delimitar.Academic databases are a fundamental source for identifying relevant literature in a field of study. Scopus contains more than 90 million records and indexes around 12,000 documents per day. However, this context and the cumulative nature of science itself make it difficult to selectively identify information. In addition, academic database search tools are not very intuitive, and require an iterative and relatively slow process of searching and evaluation. In response to these challenges, Elsevier has launched Scopus AI, currently in its Beta version. As the product is still under development, the current user experience is not representative of the final product. Scopus AI is an artificial intelligence that generates short synthesis of the documents indexed in the database, based on instructions or prompts. This study examines the interface and the main functions of this tool and explores it on the basis of three case studies. The functional analysis shows that the Scopus AI Beta interface is intuitive and easy to use. Elsevier's AI tool allows the researcher to obtain an overview of a problem, as well as to identify authors and approaches, in a more agile search session than conventional search. Scopus AI Beta is not a substitute for conventional search in all cases, but it is an accelerator of academic processes. It is a valuable tool for literature reviews, construction of theoretical frameworks and verification of relationships between variables, among other applications that are actually impossible to delimit.Esta publicaci贸n forma parte de los resultados metodol贸gicos del proyecto Par谩metros y estrategias para incrementar la relevancia de los medios y la comunicaci贸n digital en la sociedad: curaci贸n, visualizaci贸n y visibilidad (CUVICOM) PID2021-123579OB-I00, financiado por el Ministerio de Ciencia e Innovaci贸
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