Social Media Algorithms Change How Voters See Politics

Research shows social media algorithms, not just message content, decide if political posts go viral. This is different from traditional media.
By Newsroom | Politics, Technology |

The intricate dance between political discourse and social media platforms is increasingly choreographed by algorithmic currents, making the reach of political messaging unpredictable. The reliance on these digital conduits, especially on platforms like TikTok, presents a double-edged sword: rapid dissemination alongside a susceptibility to the unseen logic of recommendation systems.

Marcos Echevarría-Eirea, a PhD Researcher at the European University Institute, has been delving into this complex terrain. His work centers on how social media shapes political behavior, public opinion, and the very structure of political parties. Echevarría-Eirea's focus is particularly on the dynamics of political communication online, exploring how network structures might reveal underlying attitudes and behaviors.

"The algorithms behind viral spread are specific to each platform – and not transparent."

This lack of transparency means that political hopefuls, regardless of their ideological leanings, find themselves navigating a system where the success of their outreach is not solely dependent on the message's content but also on the algorithm's favor. Recent research, as highlighted by Echevarría-Eirea's field, indicates that users on these platforms often encounter political content irrespective of their initial search intent.

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The Algorithm's Sway

The effectiveness of online campaigning hinges on understanding these platform-specific algorithms. What goes viral can spread with astonishing speed, yet this virality is not a guaranteed outcome.

  • Platforms employ a combination of recommender and social algorithms, which appear to be attuned to political sensibilities.

  • The unpredictable nature of viral content means that even well-crafted messages can falter if they don't align with the platform's invisible dissemination mechanics.

  • Individuals like Arizonan activist Deja Foxx and Democratic mayoral candidate Zohran Mamdani are noted examples of those leveraging social media engagement for political aims.

Academic Scrutiny

Echevarría-Eirea's academic pursuits have involved him in significant data collection and analysis projects. He has contributed as a Research Assistant for the Chapel Hill Expert Survey (CHES) and for the GLOBAL initiative at the Robert Schuman Centre for Advanced Studies. His investigations are documented through platforms like Google Scholar, where his citation records are tracked.

The broader impact of social media influencers on public policy and political conversations is a subject of ongoing study. The 2024 European Election campaign, for instance, saw an exploration into how social media influencers might mobilize voters. This research probes the role of these online personalities as potential 'opinion leaders' within the digital sphere.

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Frequently Asked Questions

Q: How do social media algorithms affect political messages?
Social media algorithms decide which political posts people see, making it hard to predict how messages spread. This is because the algorithms are not transparent and are specific to each platform.
Q: Who is researching how social media influences politics?
Marcos Echevarría-Eirea, a PhD Researcher at the European University Institute, is studying how social media shapes political behavior and online communication.
Q: What is the problem with algorithms in political campaigns?
The main problem is that algorithms are not transparent, so political hopefuls don't know why some messages go viral and others don't. This means success depends on pleasing the algorithm, not just the message.
Q: Can social media influencers affect elections?
Yes, research is looking into how social media influencers might get voters to participate in elections, acting as 'opinion leaders' online. Examples include activists and candidates using social media engagement.