Media Psychology Overview

Principles

Definition

Media psychology is an academic discipline dedicated to investigating the complex reciprocal relationship between media technologies and human behavior, cognition, and affect. It examines the psychological processes involved in media creation, consumption, and interaction, analyzing media's influence on individuals, groups, and society, and the ways in which psychological principles inform media design and use.

Ontological type

Core Theories

Research Methods

Key Application Areas

Key developments

Key Figures

Cognitive Constructionism era

Clifford Nass [1] was a leading figure in media psychology during the Cognitive Constructionism era, associated with Stanford University [3] and Princeton University [4]. His 1997 work The media equation: how people treat computers, television, and new media like real people and places [6] argued that people treat media as social actors, a contribution that illuminated how media exposure constructs shared social realities and cognitive associations in this era. Shanto Iyengar [2] was another central figure in this period, with affiliations at Stanford University [3] and Johns Hopkins University [5]. Iyengar's 1985 paper Television News, Real-World Cues, and Changes in the Public Agenda [7] demonstrated how televised cues can shift the public agenda, illustrating core mechanisms of agenda-setting and priming that anchored cognitive constructionist explanations of media effects.

Audience Engagement and Agency era

James Druckman [1] is a prominent scholar whose work in this era spans Northwestern University [3] and the University of Minnesota [4]. His key contribution centers on Framing Theory [6], a framework for understanding how media representations shape interpretation and attitudes and why such framing matters for audience engagement in this era. Dennis Chong [2] is similarly associated with Northwestern University [3] and the University of Southern California [5] during this period. Chong's contribution emerges from the Framing Theory [6] work, demonstrating how framing interacts with audience engagement processes to shape attitudes and identity in this era.

Algorithmic Mediation and AI era

S. Shyam Sundar [1] is a prominent media psychologist associated with Pennsylvania State University [2] and Alagappa University [3] in this era. One of his key contributions is the Rise of Machine Agency: A Framework for Studying the Psychology of Human–AI Interaction (HAII) [4], which frames human–AI interaction and machine agency and clarifies its implications for attention, parasocial ties, and perceived control in algorithmic mediation. This HAII framework [4] has guided subsequent research on machine cues and personalization in media environments, informing experimental designs and large-scale analyses that reveal how algorithmic mediation shapes evaluative and behavioral outcomes. In addition, Sundar [1]'s work intersects governance, transparency, and platform responsibility in AI-mediated communication, embedding policy-oriented inquiry into media psychology during this era.