Social Media Overview

Principles

Definition

Social media is a contemporary research concept designating digital platforms and technologies that enable networked communication and user-generated content, serving as a critical domain for investigating their pervasive influence on social, cultural, and political landscapes.

Ontological type

Political Communication

Theoretical Frameworks

Platform Governance

Key developments

Key Figures

Networked Public Sphere era

Maxwell McCombs [1], associated with the University of North Carolina at Chapel Hill [3] and Syracuse University [4] during this era, emerges as a central figure in theorizing the public sphere and media influence. His key contribution in this era centers on the agenda-setting function of mass media [7], which highlighted how media shape public attention and issue emphasis, thereby structuring political discourse. Murray Turoff [2], linked to the University of Pittsburgh [5] and London Business School [6] during this era, contributed to early frameworks for computer-mediated communication and networked publics. His landmark work The network nation: human communication via computer [8] articulated how networked information infrastructures could reconfigure collective sense-making, an insight foundational to understanding the networked public sphere.

Platform Sociality and Diffusion era

Nicole B. Ellison [1] is a prominent scholar operating across the University of Southern California [3] and the University of New Hampshire [4] during this era. Her key contributions include co-authoring Social Network Sites: Definition, History, and Scholarship [7] and The Benefits of Facebook “Friends:” Social Capital and College Students’ Use of Online Social Network Sites [8], which helped define online social networks and illuminate social capital gains for college students, shaping how researchers study platform-mediated sociality in this era. Lynn Smith-Lovin [2] is associated with Duke University [5] and the University of California, Davis [6] during this era. Her contribution via Birds of a Feather: Homophily in Social Networks [9] advanced understanding of homophily as a mechanism shaping tie formation and diffusion in platform-enabled communities.

Algorithmic Amplification Ecology era

Matthew Gentzkow [1] is a leading scholar affiliated with Harvard University [3] and the Massachusetts Institute of Technology [4] in this era. His key contributions in the Algorithmic Amplification Ecology era involve empirical analysis of how social media amplifies misinformation, as demonstrated by the two papers Social Media and Fake News in the 2016 Election [5] and Social Media and Fake News in the 2016 Election [6], which illuminate the scale of algorithmic amplification and inform debates about platform governance. Hunt Allcott [2] is also associated with Harvard University [3] and the Massachusetts Institute of Technology [4] during this period. His contributions center on measuring exposure to misinformation and the role of ranking algorithms in shaping attention, as shown in Social Media and Fake News in the 2016 Election [5] and Social Media and Fake News in the 2016 Election [6], work that underpins policy discussions about data-driven public-health informatics and platform accountability in the algorithmic era.