204 research outputs found

    Collectively Exercizing the Right of Access: Individual Effort Societal Effect

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    The debate about how to govern personal data has intensified in recent years. The European Union’s General Data Protection Regulation, which comes into effect in 2018, relies on transparency mechanisms codified through obligations for organizations and citizen rights. While some of these rights have existed for decades, their effectiveness is rarely tested in practice. This paper reports on the exercise of the so-called right of access, which gives citizens the right to get access to their personal data. We study this by working with participants—citizens for whom the law is written—who collectively sent over a hundred data access requests and shared the responses with us. We analyze the replies to the access requests, as well as the participant's evaluation of them. We find that non-compliance with the law's obligations is widespread. Participants were critical of many responses, though they also reported a large variation in quality. They did not find them effective for getting transparency into the processing of their own personal data. We did find a way forward emerging from their responses, namely by looking at the requests as a collective endeavor, rather than an individual one. Comparing the responses to similar access requests creates a context to judge the quality of a reply and the lawfulness of the data practices it reveals. Moreover, collective use of the right of access can help shift the power imbalance between individual citizens and organizations in favor of the citizen, which may incentivize organizations to deal with data in a more transparent way

    Responsibility for Data Protection in a Networked World: On the Question of the Controller, Effective and Complete Protection and Its Application to Data Access Rights in Europe

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    This paper analyses the current system in Europe for determining who is (or better, are) responsible for observing data protection obligations in networked service settings. In doing so we address the following problems: (1) of ambiguity in applying the concept of data controller in networked settings; and (2) of insufficiencies in the framework for establishing the extent of the responsibilities in situations of joint control. We look at how the law and regulators address these problems and how the European Court of Justice tackles these problems by applying the principle of “effective and complete protection”. The issue of joint responsibility has gained particular relevance in the wake of Wirtschaftsakademie, a case recently decided by the European Court of Justice. In this case, a Facebook fan page administrator was found to be a joint-controller and therefore jointly responsible, together with Facebook, for observing data protection rules. Following this decision, there are many more situations of joint control than previously thought. As a consequence, part of the responsibility for compliance with data protection legislation and risk of enforcement measures are moved to those who integrate external services. This will change the incentive structure in such a way that joint-controllers will place a much higher value on data protection. To explore the practical implications of the legal framework, we analyse a number of examples taken from our earlier empirical work on the right of access to reflect on the newly emerging data responsibility infrastructure. We show that the coordination of responsibilities is complex in practice because many organisations do not have a clear overview of data flows, there are power imbalances between different actors, and personal data governance is often happening in separated specialised units

    Measuring the Brussels Effect through Access Requests

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    The introduction of the GDPR reheated the ongoing debate about the extraterritorial effect of European data protection law. In this debate, Anu Bradford argued that European data protection law affects global markets through the so-called "Brussels Effect", according to which policies diffuse primarily through market mechanisms. Specifically, this phenomenon operates even when the laws of non-EU countries, which set the rules for companies operating in those markets, have not changed to adopt provisions which equal those of EU law. In this paper we investigate empirically whether the introduction of the GDPR has initiated a “Brussels Effect”, improving compliance with data protection law and exporting GDPR standards outside of Europe. By measuring compliance with the right of access for residents of the EU and Canada, we find that this is indeed the case. We suggest that the GDPR’s stronger enforcement provisions are the key driver of this effect, which allows the EU to de facto unilaterally affect companies' behavior globally

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    Measurement of inclusive and differential cross sections for single top quark production in association with a W boson in proton-proton collisions at s \sqrt{s} = 13 TeV

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    International audienceMeasurements of the inclusive and normalised differential cross sections are presented for the production of single top quarks in association with a W boson in proton-proton collisions at a centre-of-mass energy of 13 TeV. The data used were recorded with the CMS detector at the LHC during 2016–2018, and correspond to an integrated luminosity of 138 fb−1^{−1}. Events containing one electron and one muon in the final state are analysed. For the inclusive measurement, a multivariate discriminant, exploiting the kinematic properties of the events is used to separate the signal from the dominant tt‟ \textrm{t}\overline{\textrm{t}} background. A cross section of 79.2±0.9(stat)−8.0+7.7(syst)±1.2(lumi) 79.2\pm 0.9{\left(\textrm{stat}\right)}_{-8.0}^{+7.7}\left(\textrm{syst}\right)\pm 1.2\left(\textrm{lumi}\right) pb is obtained, consistent with the predictions of the standard model. For the differential measurements, a fiducial region is defined according to the detector acceptance, and the requirement of exactly one jet coming from the fragmentation of a bottom quark. The resulting distributions are unfolded to particle level and agree with the predictions at next-to-leading order in perturbative quantum chromodynamics.[graphic not available: see fulltext

    Measurement of the <math altimg="si1.svg"><mi mathvariant="normal">t</mi><mover accent="true"><mrow><mi mathvariant="normal">t</mi></mrow><mrow><mo stretchy="false">ÂŻ</mo></mrow></mover></math> charge asymmetry in events with highly Lorentz-boosted top quarks in pp collisions at <math altimg="si2.svg"><msqrt><mrow><mi>s</mi></mrow></msqrt><mo linebreak="goodbreak" linebreakstyle="after">=</mo><mn>13</mn></math> TeV

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    International audienceThe measurement of the charge asymmetry in top quark pair events with highly Lorentz-boosted top quarks decaying to a single lepton and jets is presented. The analysis is performed using proton-proton collisions at s=13TeV with the CMS detector at the LHC and corresponding to an integrated luminosity of 138 fb−1. The selection is optimized for top quarks produced with large Lorentz boosts, resulting in nonisolated leptons and overlapping jets. The top quark charge asymmetry is measured for events with a tt¯ invariant mass larger than 750 GeV and corrected for detector and acceptance effects using a binned maximum likelihood fit. The measured top quark charge asymmetry of (0.42−0.69+0.64)% is in good agreement with the standard model prediction at next-to-next-to-leading order in quantum chromodynamic perturbation theory with next-to-leading-order electroweak corrections. The result is also presented for two invariant mass ranges, 750–900 and &gt;900GeV

    Search for pair production of vector-like quarks in leptonic final states in proton-proton collisions at s \sqrt{s} = 13 TeV

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    A search is presented for vector-like T \mathrm{T} and B \mathrm{B} quark-antiquark pairs produced in proton-proton collisions at a center-of-mass energy of 13 TeV. Data were collected by the CMS experiment at the CERN LHC in 2016-2018, with an integrated luminosity of 138 fb−1 ^{-1} . Events are separated into single-lepton, same-sign charge dilepton, and multilepton channels. In the analysis of the single-lepton channel a multilayer neural network and jet identification techniques are employed to select signal events, while the same-sign dilepton and multilepton channels rely on the high-energy signature of the signal to distinguish it from standard model backgrounds. The data are consistent with standard model background predictions, and the production of vector-like quark pairs is excluded at 95% confidence level for T \mathrm{T} quark masses up to 1.54 TeV and B \mathrm{B} quark masses up to 1.56 TeV, depending on the branching fractions assumed, with maximal sensitivity to decay modes that include multiple top quarks. The limits obtained in this search are the strongest limits to date for TT‟ \mathrm{T} \overline{\mathrm{T}} production, excluding masses below 1.48 TeV for all decays to third generation quarks, and are the strongest limits to date for BB‟ \mathrm{B} \overline{\mathrm{B}} production with B \mathrm{B} quark decays to tW.A search is presented for vector-like T and B quark-antiquark pairs produced in proton-proton collisions at a center-of-mass energy of 13 TeV. Data were collected by the CMS experiment at the CERN LHC in 2016–2018, with an integrated luminosity of 138 fb−1^{−1}. Events are separated into single-lepton, same-sign charge dilepton, and multi-lepton channels. In the analysis of the single-lepton channel a multilayer neural network and jet identification techniques are employed to select signal events, while the same-sign dilepton and multilepton channels rely on the high-energy signature of the signal to distinguish it from standard model backgrounds. The data are consistent with standard model background predictions, and the production of vector-like quark pairs is excluded at 95% confidence level for T quark masses up to 1.54 TeV and B quark masses up to 1.56 TeV, depending on the branching fractions assumed, with maximal sensitivity to decay modes that include multiple top quarks. The limits obtained in this search are the strongest limits to date for TT‟ \textrm{T}\overline{\textrm{T}} production, excluding masses below 1.48 TeV for all decays to third generation quarks, and are the strongest limits to date for BB‟ \textrm{B}\overline{\textrm{B}} production with B quark decays to tW.[graphic not available: see fulltext]A search is presented for vector-like T and B quark-antiquark pairs produced in proton-proton collisions at a center-of-mass energy of 13 TeV. Data were collected by the CMS experiment at the CERN LHC in 2016-2018, with an integrated luminosity of 138 fb−1^{-1}. Events are separated into single-lepton, same-sign charge dilepton, and multilepton channels. In the analysis of the single-lepton channel a multilayer neural network and jet identification techniques are employed to select signal events, while the same-sign dilepton and multilepton channels rely on the high-energy signature of the signal to distinguish it from standard model backgrounds. The data are consistent with standard model background predictions, and the production of vector-like quark pairs is excluded at 95% confidence level for T quark masses up to 1.54 TeV and B quark masses up to 1.56 TeV, depending on the branching fractions assumed, with maximal sensitivity to decay modes that include multiple top quarks. The limits obtained in this search are the strongest limits to date for TT‟\mathrm{T\overline{T}} production, excluding masses below 1.48 TeV for all decays to third generation quarks, and are the strongest limits to date for BB‟\mathrm{B\overline{B}} production with B quark decays to tW

    Search for Z' bosons decaying to pairs of heavy Majorana neutrinos in proton-proton collisions at s\sqrt{s} = 13 TeV

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    International audienceA search for the production of pairs of heavy Majorana neutrinos (Nℓ_\ell) from the decays of Z' bosons is performed using the CMS detector at the LHC. The data were collected in proton-proton collisions at a center-of-mass energy of s\sqrt{s} = 13 TeV, with an integrated luminosity of 138 fb−1^{-1}. The signature for the search is an excess in the invariant mass distribution of the final-state objects, two same-flavor leptons (e or ÎŒ\mu) and at least two jets. No significant excess of events beyond the expected background is observed. Upper limits at 95% confidence level are set on the product of the Z' production cross section and its branching fraction to a pair of Nℓ_\ell, as functions of Nℓ_\ell and Z' boson masses (mNℓm_{\mathrm{N}_\ell} and mZâ€Čm_\mathrm{Z'}, respectively) for mZâ€Čm_\mathrm{Z'} from 0.4 to 4.6 TeV and mNℓm_{\mathrm{N}_\ell} from 0.1 TeV to mZâ€Čm_\mathrm{Z'}/2. In the theoretical framework of a left-right symmetric model, exclusion bounds in the mNℓm_{\mathrm{N}_\ell}-mZâ€Čm_\mathrm{Z'} plane are presented in both the electron and muon channels. The observed upper limit on mZâ€Čm_\mathrm{Z'} reaches up to 4.42 TeV. These are the most restrictive limits to date on the mass of Nℓ_\ell as a function of the Z' boson mass

    Search for new physics using effective field theory in 13 TeV pppp collision events that contain a top quark pair and a boosted ZZ or Higgs boson

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    A data sample containing top quark pairs (ttˉ\mathrm{t\bar{t}}) produced in association with a Lorentz-boosted Z or Higgs boson is used to search for signs of new physics using effective field theory. The data correspond to an integrated luminosity of 138 fb−1^{-1} of proton-proton collisions produced at a center-of-mass energy of 13 TeV at the LHC and collected by the CMS experiment. Selected events contain a single lepton and hadronic jets, including two identified with the decay of bottom quarks, plus an additional large-radius jet with high transverse momentum identified as a Z or Higgs boson decaying to a bottom quark pair. Machine learning techniques are employed to discriminate between ttˉ\mathrm{t\bar{t}}Z or ttˉ\mathrm{t\bar{t}}H events and events from background processes, which are dominated by ttˉ\mathrm{t\bar{t}} + jets production. No indications of new physics are observed. The signal strengths of boosted ttˉ\mathrm{t\bar{t}}Z and ttˉ\mathrm{t\bar{t}}H production are measured, and upper limits are placed on the ttˉ\mathrm{t\bar{t}}Z and ttˉ\mathrm{t\bar{t}}H differential cross sections as functions of the Z or Higgs boson transverse momentum. The effects of new physics are probed using a framework in which the standard model is considered to be the low-energy effective field theory of a higher energy scale theory. Eight possible dimension-six operators are added to the standard model Lagrangian and their corresponding coefficients are constrained via fits to the data

    Measurement of the cross section of top quark-antiquark pair production in association with a W boson in proton-proton collisions at s \sqrt{s} = 13 TeV

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    The production of a top quark-antiquark pair in association with a W boson (tt‟W \textrm{t}\overline{\textrm{t}}\textrm{W} ) is measured in proton-proton collisions at a center-of-mass energy of 13 TeV. The analyzed data was recorded by the CMS experiment at the CERN LHC and corresponds to an integrated luminosity of 138 fb−1^{−1}. Events with two or three leptons (electrons and muons) and additional jets are selected. In events with two leptons, a multiclass neural network is used to distinguish between the signal and background processes. Events with three leptons are categorized based on the number of jets and of jets originating from b quark hadronization, and the lepton charges. The inclusive tt‟W \textrm{t}\overline{\textrm{t}}\textrm{W} production cross section in the full phase space is measured to be 868 ± 40(stat) ± 51(syst) fb. The tt‟W+ \textrm{t}\overline{\textrm{t}}\textrm{W} ^{+} and tt‟W− \textrm{t}\overline{\textrm{t}}\textrm{W} ^{−} cross sections are also measured as 553 ± 30(stat) ± 30(syst) and 343 ± 26(stat) ± 25(syst) fb, respectively, and the corresponding ratio of the two cross sections is found to be 1.61±0.15(stat)−0.05+0.07(syst) 1.61\pm 0.15{\left(\textrm{stat}\right)}_{-0.05}^{+0.07}\left(\textrm{syst}\right) . The measured cross sections are larger than but consistent with the standard model predictions within two standard deviations, and represent the most precise measurement of these cross sections to date.[graphic not available: see fulltext
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