1,720,974 research outputs found
Il sistema dei media digitali in Italia nei sei mesi precedenti le elezioni politiche 2018
Gli appuntamenti elettorali rappresentano da sempre un’occasione preziosa per chi studia il rapporto fra media e politica. In un contesto di rapido cambiamento innescato dall’avvento del digitale, il progetto Mapping Italian News ha analizzato la copertura informativa dei media italiani online durante i sei mesi che hanno preceduto le elezioni politiche 2018. Partendo da un dataset di 84.815 notizie e sfruttando un innovativo set di tecniche e metodologie volte ad analizzare il comportamento delle comunità online di utenti interessati alla politica, questo paper offre uno spaccato inedito dei rapporti fra fonti di informazione e partiti politic
CooRnet. Detect coordinated link sharing behavior on social media
Given a set of URLs, this package detects coordinated link sharing behavior (CLSB) and outputs the network of entities that performed such behavior
Mitochondrial phylogenomics supports a Carboniferous origin of Xenonomia
Polyneoptera includes some of the best-known insect species, such as grasshoppers and cockroaches. While the evolutionary history of many Polyneoptera orders has been thoroughly explored, others have been partially overlooked. This is the case with Xenonomia, a clade consisting of two species-poor insect orders with a relatively recent taxonomic history: Mantophasmatodea and Grylloblattodea. Here, we provide a temporal framework for their evolution, leveraging a mitochondrial phylogenomics approach encompassing all Polyneoptera orders. To strengthen the confidence in our divergence times estimation, we specifically focused on the possible impact of phylogenetic biases, such as long branch attraction, the influence of specific fossil priors, the use of nucleotide or amino acid alignments, and different clock models. Our results consistently support the origin of Xenonomia during the Carboniferous, and the divergence between the two orders is inferred to have happened before the Permian. While Grylloblattodea diversification is inferred to have occurred earlier than that of Mantophasmatodea, extant species of both orders most likely diversified after the Permian/Triassic and Triassic/Jurassic mass extinctions. Our molecular divergence time analyses complement the fossil record and support the ancient relict status of these two polyneopteran orders
Diverging patterns of interaction around news on social media: insularity and partisanship during the 2018 Italian election campaign
The paper considers how social media ecologies are affecting partisan engagement around political news and online attention economies by investigating the case of the 2018 Italian general election. By analyzing Twitter and Facebook interactions around political news in the lead-up to the election, we shed light on levels of insularity characterizing sources preferred by different partisan communities and investigate how specific patterns of active attention emerge around different sources and around stories proposing different framing of specific political actors. Our findings indicate that, on Twitter, sources mainly shared by supporters of populist parties (the Five Star Movement and the League) are characterized by higher levels of insularity compared to those shared by supporters of other parties. We also find that, on Facebook, news items published by highly insular sources receive a higher number of shares per comment. Finally, our analyses show that news presenting a positive framing of the Five Star Movement - the unique 'cyber party' in the system receives a higher number of shares per comment compared to items presenting the Movement in a negative light, while the opposite is true for stories on all other political parties
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
Analisi Computazionale del Parallelismo Politico in Italia: Il Caso delle Elezioni 2022
This study explores the application of large language models (LLMs) to analyze political communication on social media during the 2022 Italian general elections. Leveraging OpenAI’s ChatGPT and the text-embedding-ada-002 model, we conducted an exploratory analysis to identify the themes in Facebook posts from 12 major Italian news outlets. These posts were collected in the three months leading up to the election. By clustering these posts and mapping their political parallelism, we examined the extent to which the ideological alignment of media sources influences the coverage of political topics. We employed a novel methodology combining supervised fine-tuning of an LLM for classifying political content and unsupervised clustering for thematic analysis. Our approach included the use of the Multi-Party Media Partisanship Attention Score (MP-MPAS) to quantify the partisan attention received by different news sources on Twitter. The integration of these methods allowed us to address two primary research questions: whether political parallelism is evident on social media and whether it extends to the topics covered. The results reveal significant political parallelism in the Italian media system, observable in the alignment of news sources with specific political parties and the distribution of themes across these sources. This study demonstrates the potential of LLMs to enhance the analysis of political communication, offering insights into the dynamics of media coverage and ideological biases during electoral campaigns
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
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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