espanolSe analiza el rechazo verbal al extranjero como potencial detector de discurso de odio a traves de dos analisis de contenido de tuits en espanol recogidos con la API de Twitter: el primero, manual, a 1.469 tuits; el segundo, automatico, analiza otros 337.116 tuits utilizando tecnicas de big data. El rechazo fue predominante en el primer analisis y minoritario en el segundo, mostrando la fluctuacion que experimentan estas expresiones en funcion del contexto mediatico. En ambos casos el rechazo hacia los migrantes fue significativamente mayor que hacia los refugiados, como se habia observado ya en contextos internacionales. El trabajo tambien genero un corpus de entrenamiento sobre rechazo al extranjero y observo los aspectos negativos asociados mas frecuentemente al rechazo, asi como la relacion entre este y la condicion informativa u opinativa del tuit. EnglishWe use Twitter to study the verbal rejection towards migrants and refugees as a potential hate speech predictor with two content analysis of tweets in Spanish collected with Twitter’s API: the first analysis, manual, with 1,469 tweets; the second, automatic, uses big data techniques to study 337,116 new tweets. In the first one rejection was predominant over acceptance and neutrality. Rejection was smaller in the second one, showing how fluctuant these expressions are depending the media context. In both cases rejection toward migrants was significantly bigger than over refugees, as it had already been observed in international contexts. This work also created a training corpus about immigrant rejection, valid for future studies, andobserved the negative aspects most frequently associated to rejection of immigrants, as well as the relationship existing between this and the fact of tweets being information or opinion.

https://dialnet.unirioja.es/descarga/articulo/7586919.pdf

Rechazo y discurso de odio en Twitter: análisis de contenido de los tuits sobre migrantes y refugiados en español

The infodiet of young Spanish adults aged 18 to 25 was analysed to determine their attitude towards fake news. The objectives were: to establish whether they have received any training in fake news; to determine whether they know how to identify fake information; and to investigate whether they spread it. The study employed a descriptive quantitative method consisting of a survey of 500 representative interviews of the Spanish population aged between 18 and 25 through a structured questionnaire. The results indicate that they are aware of the importance of training, although generally they do not know of any course and when they do, they do not tend to enroll on one either due to lack of interest or time. These young adults feel that they know how to identify fake content and, moreover, that they know how to do so very well. However, they do not use the best tools. While they do not always verify information, they mainly suspect the credibility of information when it is meaningless. However, they do not tend to spread fake information. We conclude that media information literacy training (MILT) is necessary in educational centres that focuses on the main issues identified.

Young Spanish Adults and Disinformation: Do They Identify and Spread Fake News and Are They Literate in It?

The role of contextual factors in the electoral resurgence of extreme right-wing forces in Spain: The case of Andalusia

Sociocultural factors during COVID-19 pandemic: Information consumption on Twitter

Refugee information consumption on Twitter

En este articulo, basado en una revision bibliografica sobre lo que se ha publicado en revistas cientificas internacionales sobre migraciones y big data asi como sobre migraciones y Twitter, en tanto que un medio social especifico, se pretende identificar que tipo de investigaciones sobre migraciones se estan publicando actualmente basandose en datos que proceden de estas fuentes. Y, particularmente, nos interesa identificar los metodos, tecnicas de investigacion y tipo de software que se manejan en estos trabajos, desde la perspectiva de tres momentos clave en el estudio de lo que se publica en los medios sociales o el uso de big data: extraccion, procesamiento y analisis. Nuestra revision se desarrolla teniendo en cuenta lo que se publico en los ultimos 5 anos incluido en las bases de datos ProQuest, Scopus y Web of Science, que recogen miles de revistas, libros, tesis doctorales, etc. de caracter multidisciplinar. Los resultados apuntan a que son aun pocas las publicaciones en materia de big data y Twitter que abordan procesos migratorios, en relacion a otras tematicas. En cuestion de estrategias metodologicas, tecnicas y software, los articulos que hemos encontramos van desde lo mas artesanal a lo mas sofisticado, en este caso, con publicaciones que suelen estar encabezadas por cientificos que cuentan con cierto bagaje en computacion. In this article, based on a literature review on the publications in international scientific journals on migrations and big data as well as specifically on migrations and Twitter, as a specific social media, we try to identify what type of research on migrations is currently being published based on data that comes from these sources. And, particularly, we are interested in identifying the methods, research techniques and type of software that are handled in these works, from the perspective of three key moments in the research on social media or big data: extraction, processing, and analysis. Our review is developed taking into account what was published in the last 5 years that was included in ProQuest, Scopus and Web of Science databases, which comprise thousands of journals, books, doctoral theses, etc. of a multidisciplinary nature. The results suggest that there are still few publications on big data and Twitter that address migration processes, in relation to other issues. In terms of methodological strategies, techniques and software, the articles we have found range from the most artisan to the most sophisticated, in this case, with publications that are usually lead by scientists who have a certain background in computing.

/pdf/big-data-y-twitter-para-el-estudio-de-procesos-migratorios-1nbpdmm8mh.pdf

Big data y Twitter para el estudio de procesos migratorios: Métodos, técnicas de investigación y software

espanolDesde sus inicios, la crisis de los refugiados ha generado mucha opinion publica a traves de las redes sociales. El objetivo de este trabajo es identificar los discursos que se difunden en Twitter sobre las personas refugiadas, en relacion con la intervencion en Trabajo Social. Los datos para este articulo fueron extraidos de Twitter desde mediados de diciembre de 2015 hasta mediados de diciembre de 2016. Se ha extraido cerca de dos millones de tuits con la palabra clave “refugiados” en seis idiomas (ingles, frances, aleman, italiano, portugues y espanol), a traves del software NodeXL. Para este articulo se utilizaron solamente los datos en espanol. Despues del procedimiento de mineria de datos, se aplicaron diferentes estrategias para filtrar, transformar y codificar para identificar las cuestiones relacionadas con los diferentes niveles de intervencion social. Los resultados muestran como los tres niveles clasicos de intervencion (individual-familiar, grupal y comunitario) estan presentes en los discursos sobre personas refugiadas en Twitter, posibilitando disenar estrategias de intervencion. EnglishSince its beginning, the refugee crisis has produced a lot of public opinion through social networks and has been a challenge for coexistence and social intervention. The aim of this article is to identify the discourses that are being disseminated though Twitter about the refugees, and that are related to the intervention in Social Work. Data were extracted from Twitter from mid-December 2015 until mid-December 2016. Near two millions of tweets were extracted with the keyword “refugees” in six languages (English, French, German, Italian, Portuguese and Spanish), through of the NodeXL extraction tool. For this article only the data in Spanish were used. After the data mining procedure, we applied different strategies for filtering, transforming, and coding data in order to identify the issues related to the different levels of social intervention. Results show how the three classic levels of intervention in Social Work (individual-family, group and community) are present in the discourses about refugees on Twitter, making possible to design strategies for the intervention.

https://dialnet.unirioja.es/descarga/articulo/6588971.pdf

La situación internacional de las personas refugiadas y su imagen en Twitter. Un reto para la intervención desde el Trabajo Social

Integrating TCNs in Andalucía

CONSPIRACY THEORIES AND DISINFORMATION IN ANDALUSIA. Executive Report, 2019. 5th Wave of the Citizen Panel for Social Research in Andalusia (EP-1707, PIE 201710E018, IESA/CSIC, www.panelpacis.net).

Carolina Rebollo Díaz

Papers

Big data y Twitter para el estudio de procesos migratorios: Métodos, técnicas de investigación y software

La situación internacional de las personas refugiadas y su imagen en Twitter. Un reto para la intervención desde el Trabajo Social

Integrating TCNs in Andalucía

Conspiracy Theories and Disinformation in Andalusia. Executive Report 2019