MétaCan
Menu
Back to cohort
Record W6995632458

The Pegasus spyware scandal: a critical review of Citizen Lab's "CatalanGate"

2023· other· en· W6995632458 on OpenAlexaboutno aff

Bibliographic record

VenueLondon School of Economics and Political Science Research Online (London School of Economics and Political Science) · 2023
Typeother
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsnot available
FundersUniversidad de CórdobaUniversidad Nacional de Educación a Distancia
KeywordsPoliticsNational securityInterrogationPublic opinionVariety (cybernetics)Public trust
DOInot available

Abstract

fetched live from OpenAlex

This document dissects the report “CatalanGate: Extensive Mercenary Spyware Operation against Catalans Using Pegasus and Candiru”, published on 18 April 2022, by Citizen Lab at the Munk School of Global Affairs and Public Policy, University of Toronto, and reveals a series of serious methodological and ethical issues that severely undermine its value as evidentiary basis for parliamentary committees and court trials. This critical review shows that Citizen Lab’s research design, fieldwork, and reporting of findings in the “CatalanGate” report clash with commonly accepted norms of academic research conduct and integrity. The variety and gravity of the pitfalls discovered suggest that Citizen Lab and the political organisations that collaborated with them in the elaboration of the report may have tried to purposefully induce a strong political bias to shape public opinion and achieve strong media impact. This critical review recommends the University of Toronto to launch an independent investigation on this report and to retract its publication. The CatalanGate report cannot be considered a rigorous academic work. It breaches most academic research conventions and does not respect the protocols and principles of digital forensic investigation. It appears to have been designed and conducted with the purpose of becoming a political instrument for Catalan nationalists, feeding evidence for lawsuits that both Apple and secessionist parties were planning, and attempting to justify ex-post the nullity of several trials that had taken place after the unilateral secession attempt in October 2017 —based on the pretended illegal monitoring of lawyers by the Spanish authorities at the time these trials took place—. As such, it could be considered as a key element in a disinformation campaign. It is beyond the scope of this review to assess whether Spain spied —legally or illegally— on some of the participants in the investigation or if Pegasus was the spyware of choice. This review shows, however, that the CatalanGate report does not meet the minimal requisites to be used as evidentiary basis for either legal procedures or parliamentary committees of enquiry. An independent investigation for research misconduct is expected in cases as serious as this one. Any parliamentary committee or court of justice investigating CatalanGate should request independent forensic experts —without connections to Citizen Lab or Amnesty Tech— to reproduce the analyses and assess their validity and reliability. It is important to rule out false positives as well as to identify any potential alterations or fabrications of evidence, such as manufactured positive results, taking advantage of the absence of a chain of custody of evidence in this investigation. The lack of checks on the actions of internet security and privacy watchdogs, such as Citizen Lab, and their potential “capture” by Big Tech corporations and partisan political groups should be a source of concern for the European Union. Citizen Lab is right to demand public accountability and transparency from European Member states, but it is also important that they also adhere to these same principles and that accusations against governments do not drive attention away from responsibilities and challenges incurred by Big Tech corporations regarding internet security.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.761
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0010.028
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.066
GPT teacher head0.399
Teacher spread0.333 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueLondon School of Economics and Political Science Research Online (London School of Economics and Political Science)Same topicBiosimilars and Bioanalytical MethodsFrench-language works237,207