Second, speed to action.
During critical periods such as elections, military crises, or times of domestic unrest – whether because of natural disasters, political crises, or social factors – a rapid response to disinformation is essential. We’ve seen how quickly disinformation can spread: against the Rohingya in Myanmar, hateful content in Sri Lanka, child abduction rumours leading to lynch mobs in India, and coordinated violence by militia groups in Ethiopia. All on Meta’s Facebook and WhatsApp platforms.
A well-funded, state-sponsored disinformation campaign will be agile and opportunistic. Heightened investment in computational disinformation techniques, using sophisticated algorithms and automated tools to spread disinformation on a massive scale, will make it easier to flood social media with coordinated messaging. The shift to community-driven moderation risks creating delays and inconsistencies in addressing harmful narratives, leaving societies vulnerable to hostile interference.
Third, the new model creates opportunities to drive engagement with, rather than counter, disinformation content.
State sponsored disinformation seeks to amplify division and fuel polarisation; there is therefore no incentive to retract messages. While some authentic users might be more willing to retract their message in response to community notes, others, particularly those with entrenched views or participating in organised campaigns, will dig in their heels in order to drive increased interaction with their content.
Finally, the creation of new tactics for spreading false content.
A threat actor might become a correction contributor and flag legitimate content based on strategic interests, such as to discredit a political opponent. The absence of impartial adjudicators means that content moderation becomes subject to the deliberate goals of coordinated groups or those with the loudest voices, further undermining the integrity of public discourse. As such, the very mechanism being pursued by Meta to protect users from misinformation can itself become a tool of manipulation.
In regions such as the Indo-Pacific, where territorial disputes and geopolitical tensions are high, Meta’s decision could have significant ramifications. State actors, particularly China, have long used social media platforms to shape narratives around contentious issues, including territorial claims in the South China Sea. A user-driven “wisdom of the crowd” model could make Meta’s platforms even more susceptible to manipulation by state-backed actors seeking to influence public perception of these issues.
State actors with sophisticated influence operations, such as those in Russia or China, are already adept at manipulating algorithms and leveraging social media networks for strategic purposes. Meta is opening the door for state-backed strategic manipulation, creating opportunities for operatives to manipulate both the platform’s algorithms and the community moderation system, with less risk of detection.