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Item type:Publication, Assessment of supervised classifiers for the task of detecting messages with suicidal ideation(Elsevier, 2020-08-01)According to the World Health Organization (WHO) close to 800,000 people worldwide die by suicide each year, and many more attempts to do it. In consequence, the WHO recognizes suicide as a global public health priority, which affects not only rich countries but poor and middle-income countries as well. This study makes a systematic analysis of 28 supervised classifiers using different features of the corpus Life to detect messages with suicidal ideation and depression to know if these can be used in an automatic prevention online system. The Life Corpus, used in this research, is a bilingual text corpus (English and Spanish) oriented to the detection of suicide ideation. This corpus was constructed retrieving texts from several social networks and its quality was measured using mutual annotation agreement. The different experiments determined that the classifier with the best performance was KStar, with the corpus features POS-SYNSETS-NUM, achieving the best results with the ROC Area metrics of 0,81036 and F-measure of 0,7148. The present research fulfilled the objective of discovering which supervised classifiers and which features are the most suitable for the automatic classification of messages with suicidal ideation using the Life Corpus. Also, given the imbalance of the results, a new precision measure was developed called the Two-dimensional Accuracy and Recovery Index (GDP), which can provide better results, in unbalanced systems, than the usual measures to assess the quality of the results (measure F, Area ROC), and thus increase the number of messages at risk of suicidal ideation, detected at the cost of receiving more messages that are not related to suicide or vice versa. Computer Science; Suicidal ideation; supervised classifiers; Machine Learning; Social networks; automatic classification; suicid10 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, COVID-19 and the metaphor of war: a cognitive analysis in digital newspapers and social networks(Academia Peruana de la Lengua, 2021-07-01)La prensa y los ciudadanos, así como los políticos y los médicos, en varios países del mundo, han comparado la enfermedad COVID-19 con diversas situaciones cotidianas a través del uso de metáforas conceptuales asociadas a sus experiencias y su entorno. Una situación con la que más ha sido contrastada son las acciones bélicas. Por ello, el propósito de esta investigación es analizar las metáforas que se han creado en relación con la guerra. Este es un estudio mixto, pues propone un análisis cualitativo que interpreta y clasifica los usos metafóricos, y formula un análisis cuantitativo al cuantificar los datos en relación con su empleo y su importancia. Las expresiones metafóricas investigadas proceden de los medios de comunicación y redes sociales peruanas e internacionales. Entre los resultados, se encuentran metáforas como el virus es enemigo y los ciudadanos son soldados, que son empleadas con frecuencia en el discurso. Este trabajo concluye que la comparación responde a la coyuntura pandémica por la que atraviesa el mundo, el cual considera que se enfrenta a una guerra, idea que es reforzada por los medios. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Expressions of authoritarianism in Facebook before the salience of news about crime in Peru(Universidad Catolica del Uruguay, 2021-07-05)Under a context of public insecurity, the present study aims to analyse comments expressed in news about criminal acts published on the web pages of the main national newspapers during 2015. Comments were subject to content analysis and two analytical axes identified: (a) The expression of authoritarian beliefs and the implications of these beliefs for perceptions of offenders, and (b) a lack of trust in the public institutions of justice and its link with authoritarian response to criminality. The analysis of comments reveals a strong tendency towards endorsements of violent actions in dealing with crime supported by an authoritarian ideology. It was also found that distrust in the public institutions of justice is linked to support for extreme measures in order to eliminate the perceived threat. Limitations and suggestions for further research are discussed. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Psychological profiles of social media users: an exploratory and predictive study in Peruvian adolescents(Springer International Publishing, 2021-10-25) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Bootstrapping semi-supervised annotation method for potential suicidal messages(Elsevier B.V., 2022-04-01)The suicide of a person is a tragedy that deeply affects families, communities, and countries. According to the standardized rate of suicides per number of inhabitants worldwide, in 2022 there will be approximately about 903,450 suicides and 18,069,000 unconsummated suicides, affecting people of all ages, countries, races, beliefs, social status, economic status, sex, etc. The publication of suicidal intentions by users of social networks has led to the initiation of research processes in this field, to detect them and encourage them not to commit suicide. This study focused on determining a semi-supervised method to populate the Life Corpus, using a bootstrapping technique, to automatically detect and classify texts extracted from social networks and forums related to suicide and depression based on initial supervised samples. To carry out the experiments we used two different classifiers: Support Vector Machine (SVM) (with Bag of Words (BoW) features with and without Term-Frequency/Inverse Document Frequency (Tf/Idf), as a weighted term, and with or without stopwords) and Rasa (with the default feature extraction system). In addition, we performed the experiments using five data collections: Life, Reddit, Life+Reddit, Life_en, and Life_en + Reddit. Using the semi-supervised method, we managed to increase the size of the Life Corpus from 102 to 273 samples with texts from the social network Reddit, in a combination Life+Reddit+BoW_Embeddings, with the SVM classifier, with which a macro f1 value of 0.80 was achieved. These texts were in turn evaluated by annotators manually with a Cohen's Kappa level of agreement of 0.86.2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Apoyos y redes sociales de las personas mayores en calle(Catholic University Luis Amigó, 2024-01-19)Las redes de apoyo y las transferencias resultan fundamentales para asumir la vejez. Sin embargo, las condiciones de las personas mayores que habitan en calle resultan particulares en todos los aspectos, incluida la forma en que se relacionan con sus redes de apoyo y las que tienen disponibles. El presente trabajo caracteriza las redes formales e informales con que cuentan los adultos mayores que viven en calle, profundizando en la valoración que estos hacen sobre las mismas. Tomando como ejemplo el caso de Bogotá, Colombia, se utiliza un enfoque mixto que integra información cuantitativa procedente del Censo de Habitantes de Calle de 2017 e información cualitativa recogida a través de entrevistas. Como resultado, sobresale el rol de los conflictos familiares como detonante de la vida en calle, que se constituye durante la trayectoria vital y conlleva a privilegiar el uso de redes de apoyo formales con las que, sin embargo, se generan relaciones conflictivas. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The institutional marks in the functioning of support networks: The case of Peruvian teachers in times of pandemic(Universidad Autonoma de Barcelona, Departamento de Antropologia Social y Cultural, 2024-01-01)Teachers are a key building-block of the educational process. In a limit situation that disrupted everyday life, such as that of the COVID-19 pandemic, how were teachers’ personal support networks put into motion to respond to their emerging work-related (teaching) and personal needs? What was the role of the institutional and organizational contexts in this process? This study seeks to answer these questions based on empirical data from Peruvian secondary education teachers during the COVID-19 pandemic. The methodological design was mixed in nature (sociometric and qualitative). Several social support mobilization processes were found. In particular, we highlight the occurrence of mixed mobilization processes. Likewise, institutional (family) and organizational (educational institutions) contexts conditioned these processes in different ways. Teachers recreated organizational routines that had already existed before the pandemic, but also developed new support practices. Some of these practices tended to become routinized, but others were resisted, due to their unintended negative consequences on teachers’ lives. These results add new analytical elements to existing theories on social support mobilization processes. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Support networks and organizational context: Peruvian teachers in times of pandemic(Colegio de Mexico, A.C., Departamento de Publicaciones, 2024-01-01)As a result of the pandemic, educational systems in Latin America began to operate remotely through the internet. New needs arose that had to be met to guarantee the continuity of classes. In this context, marked by great uncertainty, this article investigates the role of the personal networks of Peruvian teachers, as potential sources of support. Likewise, the mediation of the educational organizational context in the functioning of these networks is analyzed. The methodological design was mixed in nature. Results suggest the presence of multidimensional support that went far beyond work-related matters. The organizational context favored mutual support practices, but also had unintended negative effects on teachers’ personal lives. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Retórica visual en el discurso digital de las organizaciones sindicales peruanas en la red social Facebook(adComunica. Asociación para el Desarrollo de la Comunicación, 2023-07-01)La fragmentación de las organizaciones sindicales ha motivado la búsqueda de estrategias alternativas de comunicación sindical en las redes sociales, donde el discurso icónico adquiere mayor relevancia que la capacidad lingüística de los medios de comunicación tradicionales para movilizar políticamente a los trabajadores. En este contexto, la presente investigación tiene como objetivo analizar los usos de la retórica visual en el discurso digital de las organizaciones sindicales a través del material gráfico utilizado para la red social Facebook, con el fin de establecer una comunicación efectiva con la opinión pública y los miembros de la organización. Para alcanzar este objetivo, se adoptó un enfoque cualitativo que se centra en la interpretación de los usos retóricos visuales identificadas a través del análisis semiótico de 323 imágenes, que incluyen 113 logotipos y 210 piezas gráficas de los sindicatos que responden a diversas actividades específicas de la plataforma Facebook. Como resultado, se identificaron cuatro núcleos semánticos del discurso sindical: (i) emancipación, (ii) representatividad, (iii) compañerismo y (iv) consenso. A través de cuatro modos de la relación icónica-plástica se descubrió que las retóricas más utilizadas eran las de emancipación y representatividad, mientras que se postulaba como tendencia emergente el uso de las retóricas de compañerismo y, en menor medida, las de consenso. Esta investigación aporta a los estudios sobre las organizaciones sindicales desde una mirada semiótica.