1,720,974 research outputs found
MIMIC: a Multi Input Micro-Influencers Classifier
Micro-influencers are effective elements in the marketing strategies of companies and institutions because of their capability to create an hyper-engaged audience around a specific topic of interest. In recent years, many scientific approaches and commercial tools have handled the task of detecting this type of social media users. These strategies adopt solutions ranging from rule based machine learning models to deep neural networks and graph analysis on text, images and account information. This work compares the existing solutions and proposes an ensemble method to generalize them with different input data and social media platforms. The deployed solution combines deep learning models on unstructured data with statistical machine learning models on structured data.
We retrieve both social media accounts information and multimedia posts on Twitter and Instagram. These data are mapped into feature vectors for an eXtreme Gradient Boosting (XGBoost) classifier. Sixty different topics have been analyzed to build a rule based gold standard dataset and to compare the performance of our approach against baseline classifiers. We prove the effectiveness of our work by comparing the accuracy, precision, recall, and f1 score of our model with different configurations and architectures. We obtained an accuracy of 0.98 with our best performing model
Natural Language Processing in Personality Traits and Basic Human Values Estimation of Social Media Users
L'abstract è presente nell'allegato / the abstract is in the attachmen
Circolazione di idee e di intellettuali tra Argentina, Europa e Stati Uniti nel Novecento: il ruolo degli istituti culturali argentini fino agli anni Quaranta
In the first half of the twentieth century, inter-American and Euro-American cultural relations were characterized by a growing interconnection between circulation of intellectuals and policies of a propaganda nature. In this context, the role played by cultural institutes and universities has undergone a rapid evolution, which has made their functions and activities more complex and problematic. With reference to the Argentine case, this work aims to highlight the ability of these organizations to rapidly become both internal - that is to say 'Argentine' - and international actors and their tendency to be configured as a meeting space between intellectuals and academics of various countries. The actual role of the institutes considered in the context of Argentine, American and Italian "cultural policies" that emerged in this period will also be investigated. Finally this study will focus on the reactions to the contents of foreign propaganda messages proposed in a phase that was crucial for the long Argentine transition to Peronism
Mining micro-influencers from social media posts
Micro-influencers have triggered the interest of commercial brands, public administrations, and other stakeholders because of their demonstrated capability of sensitizing people within their close reach. However, due to their lower visibility in social media platforms, they are challenging to be identified. This work proposes an approach to automatically detect micro-influencers and to highlight their personality traits and community values by computationally analyzing their writings. We introduce two learning methods to retrieve Five Factor Model and Basic Human Values scores. These scores are then used as feature vectors of a Support Vector Machines classifier. We define a set of rules to create a micro-influencer gold standard dataset of more than two million tweets and we compare our approach with three baseline classifiers. The experimental results favor recall meaning that the approach is inclusive in the identification
"Un archivo de travesías oceánicas". Introduzione al volume "Rutas Atlánticas: Redes narrativas entre América Latina y Europa"
Existen registros de navegación que conservan las trazas de innumerables travesías: volúmenes,
estantes, bibliotecas enteras, custodian las complejas dinámicas de rutas entrecruzadas que, en
el tiempo y en el espacio, definen el Archivo en cuyas insondables profundidades se esconde el
dibujo general, la macro-textura, de un universo líquido en perpetua mutación. Trazas, rutas,
recorridos que se perderían si no fuera por el trabajo de algunos estudiosos que, desde los registros nombrados, logran reconstruir trayectorias de existencias y de escrituras. A esta grande operación de recuperación, protección y diégesis pertenecen los ensayos que forman parte del
volumen Rutas Atlánticas; redes narrativas entre América Latina y Europa
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Automated Classification of Fake News Spreaders to Break the Misinformation Chain
In social media, users are spreading misinformation easily and without fact checking. In principle, they do not have a malicious intent, but their sharing leads to a socially dangerous diffusion mechanism. The motivations behind this behavior have been linked to a wide variety of social and personal outcomes, but these users are not easily identified. The existing solutions show how the analysis of linguistic signals in social media posts combined with the exploration of network topologies are effective in this field. These applications have some limitations such as focusing solely on the fake news shared and not understanding the typology of the user spreading them. In this paper, we propose a computational approach to extract features from the social media posts of these users to recognize who is a fake news spreader for a given topic. Thanks to the CoAID dataset, we start the analysis with 300 K users engaged on an online micro-blogging platform; then, we enriched the dataset by extending it to a collection of more than 1 M share actions and their associated posts on the platform. The proposed approach processes a batch of Twitter posts authored by users of the CoAID dataset and turns them into a high-dimensional matrix of features, which are then exploited by a deep neural network architecture based on transformers to perform user classification. We prove the effectiveness of our work by comparing the precision, recall, and f1 score of our model with different configurations and with a baseline classifier. We obtained an f1 score of 0.8076, obtaining an improvement from the state-of-the-art by 4%
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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