1,721,002 research outputs found
Artificial intelligence and competition law. A computational analysis of the DMA and DSA
No full textThis Article investigates whether all stakeholder groups share the same understanding and use of the relevant terms and concepts of the DSA and DMA. Leveraging the power of computational text analysis, we find significant differences in the employment of terms like “gatekeepers,” “self-preferencing,” “collusion,” and others in the position papers of the consultation process that informed the drafting of the two latest Commission proposals. Added to that, sentiment analysis shows that in some cases these differences also come with dissimilar attitudes. While this may not be surprising for new concepts such as gatekeepers or self-preferencing, the same is not true for other terms, like “self-regulatory,” which not only is used differently by stakeholders but is also viewed more favorably by medium and big companies and organizations than by small ones. We conclude by sketching out how different computational text analysis tools, could be combined to provide many helpful insights for both rulemakers and legal scholars
'I See Something You Don't See'. A Computational Analysis of the Digital Services Act and the Digital Markets Act
Get PDFIn its latest proposals, the Digital Markets Act (DMA) and Digital Services
Act (DSA), the European Commission puts forward several new obligations for
online intermediaries, especially large online platforms and “gatekeepers.” Both
are expected to serve as a blueprint for regulation in the United States, where
lawmakers have also been investigating competition on digital platforms and new
antitrust laws passed the House Judiciary Committee as of June 11, 2021. This Article
investigates whether all stakeholder groups share the same understanding and use
of the relevant terms and concepts of the DSA and DMA. Leveraging the power of
computational text analysis, we find significant differences in the employment of
terms like “gatekeepers,” “self-preferencing,” “collusion,” and others in the position
papers of the consultation process that informed the drafting of the two latest
Commission proposals. Added to that, sentiment analysis shows that in some cases
these differences also come with dissimilar attitudes. While this may not be
surprising for new concepts such as gatekeepers or self-preferencing, the same is
not true for other terms, like “self-regulatory,” which not only is used differently by
stakeholders but is also viewed more favorably by medium and big companies and
organizations than by small ones. We conclude by sketching out how different
computational text analysis tools, could be combined to provide many helpful
insights for both rulemakers and legal scholars
Talking at Cross Purposes? A Computational Analysis of the Debate on Informational Duties in the Digital Services and the Digital Markets Acts
Get PDFSince the opaqueness of algorithms used for rankings, recommender systems, personalized advertisements, and content moderation on online platforms opens the door to discriminatory and anti-competitive behavior, increasing transparency has become a key objective of EU lawmakers.
In the latest Commission proposals, the Digital Markets Act and Digital Services Act, transparency obligations for online intermediaries, platforms and ‘gatekeepers’ figure prominently. This paper investigates whether key concepts of competition law and transparency on digital markets are used in the same way by different stakeholders. Leveraging the power of computational text analysis, we find significant differences in the employment of terms like ‘gatekeepers’, ‘simple’, and ‘precise’ in the position papers that informed the drafting of the two latest Commission proposals. This finding is not only informative for the Commission and legal scholars, it might also affect the effectiveness of transparency duties, for which it is often simply assumed that phrases like ‘precise information’ are understood the same way by those implementing said obligations. Hence, it may explain why they fail so often to reach their goal. We conclude by sketching out how different computational text analysis tools, like topic modeling, sentiment analysis and text similarity, could be combined to provide many helpful insights for both rulemakers and the legal scholarship
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Variations on the Author
Get PDF“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
ISR corrections to associated HZ production at future Higgs factories
No full textWe evaluate the QED corrections due to initial state radiation (ISR) to associated Higgs boson production in electron–positron (e+e−) annihilation at typical energies of interest for the measurement of the Higgs properties at future e+e− colliders, such as CEPC and FCC–ee. We apply the QED Structure Function approach to the four-fermion production process e+e−→μ+μ−bb¯, including both signal and background contributions. We emphasize the relevance of the ISR corrections particularly near threshold and show that finite third order collinear contributions are mandatory to meet the expected experimental accuracy. We analyze in turn the rôle played by a full four-fermion calculation and beam energy spread in precision calculations for Higgs physics at future e+e− colliders. Keywords: Higgs boson, Electron–positron colliders, QED correction
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe 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
Get PDFWe 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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