CYAINov 1, 2024

Generative Memesis: AI Mediates Political Memes in the 2024 USA Presidential Election

arXiv:2411.00934v14 citationsh-index: 3
Originality Synthesis-oriented
AI Analysis

This addresses how AI-generated memes influence political discourse on social media, offering incremental insights into partisan strategies.

The study analyzed 239,526 Instagram images to assess the impact of synthetic content on user engagement during the 2024 US presidential election, finding that AI-mediated memes (generative memesis) effectively shape political information creation, with partisan differences in usage.

Visual content on social media has become increasingly influential in shaping political discourse and civic engagement. Using a dataset of 239,526 Instagram images, deep learning, and LLM-based workflows, we examine the impact of different content types on user engagement during the 2024 US presidential Elections, with a focus on synthetic visuals. Results show while synthetic content may not increase engagement alone, it mediates how political information is created through highly effective, often absurd, political memes. We define the notion of generative memesis, where memes are no longer shared person-to-person but mediated by AI through customized, generated images. We also find partisan divergences: Democrats use AI for in-group support whereas Republicans use it for out-group attacks. Non-traditional, left-leaning outlets are the primary creators of political memes; emphasis on different topics largely follows issue ownership.

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