Partisan content refers to news, commentary, and information explicitly aligned with political ideologies—from centrist mainstream sources through moderate left/right outlets to far-left and far-right ideological channels. Research on partisan content examines how its consumption patterns on social platforms correlate with and influence political polarization, belief in misinformation, and ideological segregation.
Key research questions
- How much do recommendation algorithms amplify partisan content consumption vs. user preferences?
- What role does partisan media consumption play in belief in false claims and conspiracy theories?
- How do users transition between consuming centrist vs. partisan content?
- Do algorithmic changes reduce or exacerbate partisan content consumption?
Key papers
- 2024-hosseinmardi-youtube-recommender-counterfactual — Causal evidence that YouTube's recommender system, on average, moderates partisan content consumption; heavy partisan consumers choose more extreme content than algorithms recommend.
Related topics
- polarization (ideological clustering and affective polarization)
- recommender-systems (algorithmic ranking of partisan content)
- platform-algorithms (how platform design shapes content exposure)
- echo-chambers (segregated information environments favoring partisan content)