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The epistemic status of reproducibility in political fact-checking

  • Paper in Philosophy of Science in Practice
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Abstract

Fact-checking agencies assess and score the truthfulness of politicians’ claims to foster their electoral accountability. Fact-checking is sometimes presented as a quasi-scientific activity, based on reproducible verification protocols that would guarantee an unbiased assessment. We will study these verification protocols and discuss under which conditions fact-checking could achieve effective reproducibility. Through an analysis of the methodological norms in verification protocols, we will argue that achieving reproducible fact-checking may not help much in rendering politicians accountable. Political fact-checkers do not deliver either reproducibility or accountability today, and there are reasons to think that traditional quality journalism may serve liberal democracies better.

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Notes

  1. Mark Stencel and Joel Luther are in charge of updating the Duke Reporters’ Lab database of fact-checking sites every year according to certain criteria that can be accessed at https://reporterslab.org/how-we-identify-fact-checkers/ (Last access on July 21, 2023).

  2. Throughout this paper we will use Quality journalism as an informal shortcut to refer to reporting characterized by features such as: its trustworthiness; diversity in sources, coverage, etc.; depth and breadth of information; comprehensiveness; or its emphasis on public affairs. See (Lacy & Rosenstiel, 2015).

  3. This paper is the theoretical companion of two empirical surveys trying to grasp the actual effects of PFC on political accountability. The first one is already published: (Fernández-Roldán et al., 2023).

  4. (Galison, 2015) explores some analogies in the evolution of the ideal of objectivity in science and journalism. Crucial for our argument below is that public trust seems not to depend anymore on the value-free ideal, neither in science nor in journalism (Elliott, 2017). Still, it is open to discussion how trust in these two institutions should be reconstructed: for a preliminary exploration in line with our own view, see (de Melo-Martín & Intemann, 2018).

  5. The IFCN Code of Principles is accessible on: https://ifcncodeofprinciples.poynter.org/know-more/the-commitments-of-the-code-of-principles (Last visited on July 21, 2023).

  6. The relevant passage says: “Signatories want their readers to be able to verify findings themselves. Signatories provide all sources in enough detail that readers can replicate their work, except in cases where a source’s personal security could be compromised. In such cases, signatories provide as much detail as possible.”

  7. Although the IFCN uses replicability, the definition it uses is consistent with the way reproducibility is understood in the metaresearch literature (Goodman et al., 2016). It would make no sense, for instance, to speak of the direct or indirect replication of a fact-checking protocol, given that these protocols are not tracking causal interventions, like most scientific experiments do -see Sect. 4 below.

  8. See https://www.newtral.es/albert-rivera-frente-a-la-propuesta-de-los-liberales-para-reconocer-a-guaido-en-el-parlamento-europeo-votaron-en-contra-le-pen-y-podemos/20190206/ (Last visited on July 21, 2023).

  9. See: https://www.newtral.es/susana-diaz-tenemos-el-mismo-numero-de-egresados-que-paises-como-alemania/20181130/ and https://www.newtral.es/susana-diaz-asegura-que-andalucia-es-la-region-que-mas-empleo-ha-creado-en-los-ultimos-anos/20181127/ (Last visited on July 21, 2023).

  10. A reviewer suggests an alternative interpretation though: conflict of interest rules aim to secure a fair coverage, rather than reproducibility. Avoiding a conflict of interest would “screen out biases that could affect the overall picture of political discussions an agency creates over time”, e.g., keeping a balance in verification between the different parties, selecting claims according to their reach and importance, etc. Fair coverage would be, in fact, independent of reproducibility. We agree that this is a plausible interpretation of the conflict of interest rules, but still, readers of the IFCN code are left wondering how the guidelines will foster reproducibility. In any case, this does not affect our claim since conflict of interest rules are also said to contribute to reproducibility, via bias correction, in various experimental disciplines:. For clinical trials see, for instance, (Lundh et al., 2017).

  11. We do not imply that replicability in science is entirely rule-based, with tacit knowledge playing no role. Yet, the lack of explicit enough experimental protocols has been noted as a relevant factor in the replicability crisis in different disciplines (Andreoletti, 2020).

  12. There is an emerging literature about potential biases in PFC, namely about how balanced is the attention they pay to different political parties. The most prominent among these would be a differential treatment of politicians according to their ideology. Although the evidence is still preliminary, according to the fact-checks of some leading US agencies, right-wing politicians would systematically lie more than their left-wing peers -see (Amazeen, 2016; Farnsworth & Lichter, 2019; Marietta et al., 2015). See also ( Fernández-Roldán et al., 2023) for a methodological discussion.

  13. A reviewer objects to whether the appropriate comparison to assess the reproducibility of PFC should not be with the qualitative social sciences (e.g., history). It has been argued that there are different reproducibility benchmark across disciplines (Leonelli, 2018). In those fields where there is a low degree of control on the environment and statistical tools are rarely used, reproducibility requires, at most, that “any skilled experimenter working with same methods and materials would produce similar results”. This is what standard-based PFC could achieve at its best, assuming that PFC agencies could operate without the practical constraints of traditional journalism (limited resources and tight publication deadlines). But even in those ideal circumstance, as we also argue next in Sect. 5, it is dubious that standard-based PFC would foster political accountability better than standard journalism.

  14. Rational choice models of accountability and the media have some underlying dilemmas. Downs (1957) was the first to show that learning about candidates and their policies is beneficial for voters, but since no individual voter will have the power to alter an election outcome with a ballot, it is rational for each one of them not to invest in any learning. Publishing the information required for rendering politicians accountable can be thus conceived as a problem of privately providing a public good, for which solutions exist only under a limited range of circumstances (Bruns & Himmler, 2016).

  15. This is, of course, nothing but a conjecture, theoretically inspired by the law and economics analysis of avoidance. Criminals engage in avoidance activities to reduce the probability of punishment or its magnitude: covering up incriminating evidence or abusing evidentiary rules and procedures. Against a naive view of accountability, law & economics scholars have shown that, under standard economic rationality, increasing punishment, instead of deterring criminals, may lead them to more avoidance (Nussim & Tabbach, 2009) In our case, the cost for a politician to avoid a rule-based fact-checker is so low (a mere play on words) that we may safely assume they will give it a try –rather than facing the electoral penalties of being caught lying.

  16. Experimental research suggests that measurable effects on vote change are small (Nyhan et al., 2020).

  17. See https://www.politifact.com/truth-o-meter/.

  18. Newtral’s truth scores and methodology are accessible here: https://www.newtral.es/metodologia-transparencia/ (Last visited on July 21, 2023). The truth scores are described as follows: “True: the claim is rigorous and there is neither context nor relevant additional data missing. Half true: the claim is correct, although it needs clarification, additional information or context. Misleading: the claim contains correct data, but neglects very relevant elements (sic.) or mixes incorrect data conveying an impression different (sic.), imprecise or false. False: the claim is false” (Our translation, the highlighted bits are not grammatical in the original Spanish either). Newtral has been positively audited by the IFCN 6 times over the last 7 years: https://ifcncodeofprinciples.poynter.org/profile/newtral (Last visited on July 21, 2023).

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Acknowledgements

Two grants by the Spanish Ministry of Science and Innovation funded our research (RTI2018-097709-B-I00 and PID2021-128835NB-I00). This manuscript has benefited from comments by audiences in Copenhagen (The reactivity project), Paris (IHPST) and Twente (Dpt. Of Philosophy). Carlos Elías, Javier González de Prado and Ezequiel López Rubio provided useful suggestions.

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Correspondence to David Teira.

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Fernández-Roldan, A., Teira, D. The epistemic status of reproducibility in political fact-checking. Euro Jnl Phil Sci 14, 12 (2024). https://doi.org/10.1007/s13194-024-00575-8

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