Fake engagement
Also written: Inauthentic engagement
Artificial interactions created to make content seem more popular or influential than it is.
Fake engagement means using fake accounts or automated systems to create artificial likes, comments, or shares on social media posts. This is done to make content look more popular or important than it really is.
For example, a political campaign might pay for bots to like their posts and comment positively. This makes undecided voters think the campaign has a lot of support, influencing their opinion.
Fake engagement involves the creation of inauthentic interactions, such as likes, shares, comments, or views, generated by artificial means. These can be executed through botnets, sock puppet accounts, or other automated systems designed to inflate perceived popularity, credibility, or influence of content, users, or products. The primary goal is to manipulate social proof and algorithmic visibility.
This practice is often employed in information operations, marketing, and social media manipulation. It poses a significant challenge for platforms seeking to maintain authentic discourse and for users trying to discern genuine sentiment from manufactured consensus.
This term is relevant as frontier AI labs like OpenAI are actively identifying and disrupting AI-powered influence operations. These operations leverage AI to create fake engagement, making it harder to distinguish genuine public opinion from manufactured sentiment, especially in sensitive contexts like elections.
- Covert influence operation: Ghana election activityOpenAI · OpenAI News ·
- OpenAI ChatGPT
- OpenAI has identified and disrupted AI-powered influence operations that use fake engagement to manipulate public opinion.
- Astroturfing
- Creating a false impression of widespread grassroots support for o
- Bots
- Automated programs that perform specific tasks, which can be used to gener
- Click farms
- Human workers paid to generate fake engagement, often in low-wage c
The concept of fake engagement predates AI and emerged with the rise of social media platforms. It became a significant concern as early as the 2010s with the proliferation of bots and fake accounts used for marketing and political purposes.
Look at the comments on a very popular, viral post on a social media platform. See if many comments are very similar, generic, or posted rapidly in succession. This can sometimes indicate automated or fake engagement, though it's not definitive proof.
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Questions people ask
- Why is fake engagement a problem?
- Fake engagement misleads users and algorithms about content popularity and sentiment. It can be used to spread disinformation, manipulate markets, or unfairly influence public opinion.
- How do AI labs combat fake engagement?
- AI labs work to detect and remove fake accounts and inauthentic activity. They also develop AI models to identify patterns indicative of fake engagement and influence operations.
First seen on Subvolts Feb 1, 2025. Updated Sep 15, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.