Tradeoffs in automated political advertising regulation: evidence from the COVID-19 pandemic

Grazia Cecere (), Clara Jean, Vincent Lefrere () and Catherine Tucker
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Grazia Cecere: IMT-BS - DEFI - Département Droit, Économie et Finances - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]
Clara Jean: EPITECH
Vincent Lefrere: IMT-BS - DEFI - Département Droit, Économie et Finances - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]
Catherine Tucker: MIT - Massachusetts Institute of Technology

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Abstract: Digital platforms have experienced pressure to restrict and regulate political ad content as a matter of national urgency. Digital ad venues therefore need to identify ads as having political content in order to police whether or not they have appropriate disclosures. However, an algorithmic approach to the categorization may hit difficulties in times of rapid change and if there is not a consensus on what a political ad actually is. We collect data on European and American ads published in the Facebook Ad Library and show that algorithmic determination of what constitutes an issue of national importance resulted in COVID-19-related ads to be disqualified because they do not have an appropriate disclaimer. Our results show that ads run by governmental organizations to inform the population about COVID-19 are more likely to be banned by Facebook's algorithm than ads run by non-governmental organizations. We suggest that this implies that governmental organizations failed to recognize that COVID-19 was a matter of national significance and that ads referring to COVID-19 required a disclaimer. We show that this primarily affects European governmental organizations' ads. It seems that Facebook's policy related to "{Social Issues, Elections or Politics}'' ads is based on US political broadcasting and political advertising rules which are less familiar to European organizations. Our results suggest that in general, most parties, falling within the political ad space have difficulty determining what might be governed by political ad policy, especially in the context of national emergencies.

Keywords: Algorithmic decision-making; Ad bans; Political ads; COVID-19 (search for similar items in EconPapers)
Date: 2020-12-30
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Published in SSRN Electronic Journal, 2020, ⟨10.2139/ssrn.3603341⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03160708

DOI: 10.2139/ssrn.3603341

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