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Understanding internet censorship in europe: The case of spain
Get PDFEuropean Union (EU) member states consider themselves bulwarks of democracy and freedom of speech. However, there is a lack of empirical studies assessing possible violations of these principles in the EU through Internet censorship. This work starts addressing this research gap by investigating Internet censorship in Spain over 2016-2020, including the controversial 2017 Catalan independence referendum. We focus, in particular, on network interference disrupting the regular operation of Internet services or contents. We analyzed the data collected by the Open Observatory of Network Interference (OONI) network measurement tool. The measurements targeted civil rights defending websites, secure communication tools, extremist political content, and information portals for the Catalan referendum. Our analysis indicates the existence of advanced network interference techniques that grow in sophistication over time. Internet Service Providers (ISPs) initially introduced information controls for a clearly defined legal scope (i.e., copyright infringement). Our research observed that such information controls had been rpurposed (e.g., to target websites supporting the referendum).
We present evidence of network interference from all the major ISPs in Spain, serving 91% of mobile and 98% of broadband users and several governmental and law enforcement authorities. In these measurements, we detected 16 unique blockpages, 2 Deep Packet Inspection (DPI) vendors, and 78 blocked websites. We also contribute an enhanced domain testing methodology to detect certain kinds of Transport Layer Security (TLS) blocking that OONI could not initially detect. In light of our experience analyzing this dataset, we also make suggestions on improving the collection of evidence of network interference
Supplementary Material for “The power of code. Women and the making of the digital world”
Get PDFList of interviews (Name, Place of Interview, Time of Interview, Occupation
Online Supplementary Material for “How Right-Wing Populist Comments Affect Online Deliberation on News Media Facebook Pages“
Get PDFAppendix A: Literature Review
Appendix B: Dictionaries for the Topic of Migration
Appendix C: Codebook
Appendix D: Automated Text Analysis
Appendix E: Summary Statistics for Step 1 and Step 2
Appendix F: Right-wing Populism in Comments by Media Type
Appendix G: Regression Tables for Step 1
References in Appendices A-
Supplementary Material for “Veni vidi VC – the backend of the digital economy and its political making”
Get PDFTable 1. List of interviews
Table 2. EIF shareholder structure over time (EIF, 2014b, 2015a, 2021a)
Table 3. EIF top 10 funds by signed equity operations 2011-19
Figure 1. Governing along the VC investment chain (author’s own illustration)
Figure 2. European VC fundraising activity 1990-2020 (in €bn)
Figure 3. Relative share of EIF in European VC market 1997-2020 (in €bn
Veiled conspiracism: Particularities and convergence in the styles and functions of conspiracy-related communication across digital platforms
Get PDFDigital communication venues are essential infrastructures for anti-democratic actors to spread harmful content such as conspiracy theories. Capitalizing on platform affordances, they leverage conspiracy theories to mainstream their political views in broader public discourse. We compared the word choice, language style, and communicative function of conspiracy-related content to understand its platform-dependent differences and convergence. Our cases are the conspiracy theories of the New World Order and Great Replacement, which we analyzed on 4chan/pol/, Twitter, and seven alternative US news media longitudinally from 2011 to 2021. The conspiracy-related texts were comparatively analyzed using a multi-method approach of computational and quantitative text analyses. Our results show that conspiracy narrations are increasingly present in all venues. While language differs vastly between platforms, we observed a style convergence between Twitter and 4chan. The results show how more coded language veils the spread of racist and antisemitic content beyond the so-called dark platforms
Supplemental material: “Whose ideas are worth spreading? The representation of women and ethnic groups in TED talks”
Get PDFS1 Image recognition algorithm
S2 Topic modeling
S3 Regressions
Reference
Supplementary Material for “Crossers in a Segmented Labour Market: Occupational Advancement and Wage Changes from Semi-Skilled and Unskilled Jobs”
Get PDF### Appendix
Tab. 3.1: Descriptives (‘stayers’ and ‘movers’)
Tab. 3.2: Descriptives (‘stayers’ only)
Tab. 4: Logistic regression: Factors influencing career advancement (‘stayers’ and ‘movers’)
Tab. 5: OLS regression analysis: Factors influencing wage changes (‘stayers’ and ‘movers’
Supplementary data for “New methodologies for the digital age? How methods (re-)organize research using social media data”
Get PDFData collection
Data annotation and Word2Vec model training
Table S1. Method list
Table S2. Network topological quantities for the journal citation networ
Supplementary Information: “Extracting the interdisciplinary specialty structures in social media data-based research: A clustering-based network approach”
Get PDFIn this Supplementary Information, we provide the additional analyses of authors and detail the results for network analysis that we present in the paper. The weighted network is generally represented as a graph G = (V, E, ) with a weight assigned to each edge, where V is the graph's vertex set, and E is the edge set. We assume that G is a simple undirected graph with no multiple edges or loops, and edges have no orientations.
S1 Author-level analysis
S2 Comparison of the two network filtering techniques
S3 Network statistics
S4 The disciplinary composition of clusters in the network
Supplementary Material for “Algorithmic media use and algorithm literacy: An integrative literature review“
Get PDF+ Table: First Order Categories, Higher Order Themes, Integrative Dimensions
+ Full sample of articles considered in the literature review
+ SM-Table 1. Dimensions of algorithm literacy according to Oeldorf-Hirsch and Neubaum (2023) and manifestations in the reviewed literature
+ SM-Table 2. Factors shaping algorithm literacy and manifestations in the reviewed literature
+ SM-Table 3. Outcomes of algorithm literac