Media psychology explores how individuals perceive, interpret, and are influenced by various forms of media, requiring systematic research methods to understand complex interactions between psychological processes and media environments. The research process begins with identifying a clear problem or question related to human behavior and media use. For example, scholars may seek to understand how social networking platforms affect adolescents’ self-esteem or how exposure to immersive virtual reality alters empathy toward marginalized groups. The formulation of hypotheses follows, providing tentative explanations or predictions that guide investigation. A researcher might hypothesize that frequent engagement with curated Instagram feeds correlates with increased body image concerns among young adults. A thorough review of existing literature is a critical step, as it situates new studies within broader theoretical frameworks such as cultivation theory, uses and gratifications, or social comparison theory. This stage allows researchers to refine concepts, identify gaps, and ensure the originality of their work. For instance, by analyzing prior findings on the psychological effects of short-form video platforms, an investigator can design studies addressing underexplored aspects like algorithm-driven content exposure or parasocial relationships with influencers. Selecting an appropriate research design is essential in media psychology. Quantitative approaches, often used to test hypotheses, involve surveys, experiments, and content analyses. Surveys allow for large-scale data collection about media habits, attitudes, or emotional responses. For example, researchers can survey university students about how binge-watching streaming series influences sleep quality and stress levels. Experiments, on the other hand, enable controlled manipulation of media stimuli to assess causal relationships. A laboratory study might expose participants to positive, neutral, or negative news headlines on digital platforms and then measure their mood and perceived credibility of the source. Content analysis, both manual and automated, systematically examines messages within media texts, such as assessing the frequency of gender stereotypes in advertising or analyzing sentiment in user comments on online news. Qualitative methods offer deeper insight into subjective experiences, meanings, and social contexts of media use. Interviews and focus groups facilitate exploration of how individuals interpret media messages, negotiate identity, or participate in online communities. A focus group study could examine how teenagers perceive authenticity in influencer marketing, revealing subtle psychological processes behind trust and persuasion. Ethnographic approaches, including participant observation in virtual environments, provide rich data about social interaction in spaces like multiplayer online games or virtual reality chat rooms. Narrative analysis can uncover how people construct stories about their engagement with media, such as how survivors of trauma describe the role of films or podcasts in coping. Sampling strategies ensure that participants or media materials accurately represent the target population or content pool. Probability sampling enhances generalizability, while purposive or snowball sampling is common in exploratory qualitative studies. For