Access to “public data” is key for researchers and watchdogs working to uncover societal risks stemming from social media—but major platforms like Facebook and Twitter are cutting access to important data analytics tools to study them. The EU must now step in to ensure that researchers aren’t left in the dark.
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With the trilogue negotiations entering their final phase, key issues remain at stake that will determine the final text of the Digital Services Act (DSA). In this policy paper, we urge EU negotiators to prioritize issues that are central to the DSA’s accountability structure – including third-party data access for public scrutiny, independent audits, and increased transparency for online advertisements.
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The plenary vote establishes the European Parliament's position ahead of the trilogue negotiations with the Council of the EU and the Commission, which will start next week. Despite progress by the Parliament on issues like platform transparency, it is far from guaranteed that this progress will be enshrined in the final law.
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Over the last months, AlgorithmWatch – supported by dozens of civil society organizations and researchers, and over 6.000 individuals – has advocated for using the Digital Services Act (DSA) to enable meaningful transparency into the way online platforms influence our public sphere. The vote in the European Parliament today shows that our work has made an impact.
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The negotiations on the Digital Services Act (DSA) are now at a critical juncture. We have written an open letter to all IMCO Committee Members of the European Parliament asking them to empower a broad base of vetted public interest researchers whose independent scrutiny is vital to holding large tech platforms accountable. It has been signed by 22 international academics and independent researchers and 29 civil society organisations.
Read moreAlgorithmWatch reacts to the release of the EU's Digital Services Act (DSA).
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Meta has deployed a new AI system on Facebook and Instagram to fix its algorithmic bias problem for housing ads in the US. But it’s probably more band-aid than AI fairness solution. Gaps in Meta’s compliance report make it difficult to verify if the system is working as intended, which may preview what’s to come from Big Tech compliance reporting in the EU.
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A new study by AlgorithmWatch and AI Forensics shows that using Large Language Models like Bing Chat as a source of information for deciding how to vote is a very bad idea. As their answers to important questions are partly completely wrong and partly misleading, the likes of ChatGPT can be dangerous to the formation of public opinion in a democracy.
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Oliver Marsh is the new head of AlgorithmWatch’s project "Auditing Algorithms for Systemic Risks." He told us about his background and the goals that he will be persuing.
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It remains unclear how the largest platforms and search engines should go about identifying “systemic risks” to comply with the DSA. AlgorithmWatch outlines a methodology that will serve as a benchmark for how we, as a civil society watchdog, will judge the risk assessments that are being conducting at this very moment.
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