European researchers face growing obstacles from Big Tech platforms when investigating disinformation campaigns. The case of TikTok's role in Romania's recent presidential election illustrates how data access restrictions hinder efforts to understand and combat platform manipulation.
The 2024 Romanian presidential election delivered a shock when little-known candidate Calin Georgescu secured 23% of the first-round vote after polling in single digits. Investigators quickly traced this surge to a sophisticated TikTok operation, where accounts that previously shared lifestyle content shifted to promote Georgescu, amassing more than 120 million views. Yet the full story may remain hidden because researchers who try to study such campaigns often meet a wall of resistance from Big Tech itself.
TikTok’s role in the Romanian election has become a textbook example of how social media can subvert democratic processes. In the weeks before the vote, researchers observed a coordinated pivot among local influencers. Accounts that had built followings around travel, fashion, and entertainment began posting pro-Georgescu content with no acknowledgment of the political nature of their messages.
The scale was staggering. Pro-Georgescu material generated 120 million views, a volume that dwarfed that of other candidates. The platform’s recommendation algorithm, researchers hypothesize, may have amplified this content without proper labeling or transparency. The result: a virtually unknown candidate won the first round, stunning pollsters and international observers.
Adriana Iamnitchi, a computer scientist who studies online social networks, has documented the type of manipulation seen in Romania. But like many European academics, she faces significant barriers in obtaining data from large platforms. Companies like TikTok, Meta, and X (formerly Twitter) control access to the data needed to analyze disinformation campaigns at scale.
“Without API access or transparent data-sharing agreements, researchers cannot confirm how algorithms promoted certain content or who funded these operations,” notes a report on the incident. The result is a partial picture, where the public sees the outcome but not the mechanics behind it.
The Romanian incident is not isolated. Across Europe, researchers studying harmful content, political manipulation, and the monetization of disinformation report a rising pattern of stonewalling. The trend is unmistakable: platforms are making it harder, not easier, for independent researchers to study their systems.
This stonewalling occurs just as European regulators are demanding more accountability. The Digital Services Act (DSA) requires large platforms to share data with vetted researchers and to assess systemic risks, including election manipulation. Yet implementation has been slow, and many researchers feel that platforms treat compliance as a box-checking exercise rather than a genuine commitment to transparency.
Platforms cite user privacy and competitive concerns when restricting researcher access. Some arguments are legitimate: scraping public data can indeed collect information about individuals without proper consent. But critics counter that the objections are often pretextual, designed to protect proprietary algorithms from scrutiny.
In the Romanian case, TikTok’s algorithm might have rewarded pro-Georgescu content because engagement—regardless of political nature—was high. Without internal log data, researchers cannot confirm whether the system actively promoted disinformation or merely reflected organic enthusiasm. The distinction is critical for regulators and the public.
The stakes extend far beyond Romania. If Big Tech continues to block researchers, democracies lose an important check on platform power. Disinformation campaigns can flourish in the shadows, targeting elections on every continent. The 120 million views in Romania show how quickly a campaign can succeed when no one is watching closely.
The European Union’s DSA is the most ambitious effort to date to force openness. It mandates that very large platforms allow vetted researchers to access data for studying systemic risks. However, the implementation has faced delays, and platforms have been accused of designing access schemes that are cumbersome or incomplete.
For the system to work, regulators must ensure:
For engineers, data scientists, and policy professionals working in or with social media companies, the Romanian election case highlights several critical lessons:
The accusation that Big Tech is stonewalling European social media researchers is more than a complaint from frustrated academics. It describes a fundamental tension between private platform governance and public accountability. The Romanian election showed how vulnerable democratic processes can be when manipulation goes undetected. Unlocking access to platform data—while respecting user privacy—is essential to safeguarding elections and rebuilding trust in digital spaces. For technology professionals, the imperative is clear: push for transparency in your own organizations and support policies that enable independent scrutiny. The next election might depend on it.
Big Tech stonewalling refers to the practice of large social media companies like TikTok, Meta, and X deliberately restricting researchers' access to data needed to study disinformation campaigns. This can include limiting API access, ignoring data requests, or creating bureaucratic delays that block independent investigations. The result is that researchers cannot fully analyze how platforms amplify harmful content or influence democratic processes.
Leading up to the first round of the 2024 Romanian election, TikTok accounts that normally posted lifestyle content suddenly began promoting candidate Calin Georgescu without labeling their posts as political. Researchers believe TikTok's recommendation algorithm exponentially amplified this pro-Georgescu content, generating over 120 million views and boosting the previously unknown candidate to a shocking first-place finish. This case highlights how platform mechanics can be exploited to sway voter perceptions without transparency.
Researchers typically rely on APIs or data-sharing agreements to access large-scale platform data, but companies often restrict these channels—especially for sensitive topics like political manipulation. The approval processes for access can be lengthy and opaque, making it impossible to study fast-moving disinformation campaigns in real time. Without reliable data, researchers can only observe the effects of manipulation without understanding its origins, funding, or algorithmic amplification.
The DSA is a landmark EU regulation that holds large online platforms accountable for systemic risks like disinformation and illegal content. One of its key provisions requires platforms to share data with vetted independent researchers to enable independent audits and studies. While still being enforced, the DSA aims to counteract the stonewalling practices described in the article by creating a legal obligation for transparency and cooperation.
Stronger enforcement of regulations like the Digital Services Act can compel platforms to provide timely, meaningful data access. Platforms can also voluntarily create standardized research APIs, publish detailed transparency reports on algorithmic amplification and political advertising, and establish clear procedures for researcher data requests. Combined with public pressure, these measures could help break down the barriers that currently impede independent research.
