Last Date for Paper Submission: 30th April, 2026

Call For Paper

Articles

IssueM Articles

Sentiment Analysis and Real-Time Audience Psychology: Computational Approaches to Measuring Emotional Responses in Digital News Consumption

Author Name: Grace Celestina K Date: 27-03-2026 Sentiment analysis has emerged as one of the most widely deployed computational tools for inferring psychological states from digital media behavior, enabling real-time measurement of audience emotional responses at scales impossible through traditional self-report methods. This paper provides a comprehensive evaluation of sentiment analysis as a psychological assessment […]

Sentiment Analysis and Real-Time Audience Psychology: Computational Approaches to Measuring Emotional Responses in Digital News Consumption Read More »

Digital Psychometrics in Online Media Research: Validity, Reliability, and Methodological Standards for Web-Based Psychological Assessment

Author Name:  Ashish K Date: 27-03-2026 The migration of psychological assessment from laboratory to digital and online environments has fundamentally transformed the methodological landscape of media psychology research. This paper provides a comprehensive evaluation of digital psychometric methods used in online media research contexts, examining validity, reliability, and methodological standards for web-based psychological assessment of

Digital Psychometrics in Online Media Research: Validity, Reliability, and Methodological Standards for Web-Based Psychological Assessment Read More »

Psychological Dimensions of Content Virality: How AI Systems Model and Exploit Emotional Contagion in Digital News

Author Name: Aryan Manna K Date: 27-03-2026 The spread of content through digital media networks is governed not only by its informational quality but by its psychological properties, specifically its capacity to activate emotional responses that motivate sharing, amplify attention, and generate social signaling behaviors. This paper examines the psychological dimensions of content virality in digital

Psychological Dimensions of Content Virality: How AI Systems Model and Exploit Emotional Contagion in Digital News Read More »

Behavioral Prediction and Psychological Targeting: Machine Learning Models for Audience Segmentation in Digital News Ecosystems

Author Name: Niharika Kapoor Date: 27-03-2026 Behavioral prediction systems embedded in digital news platforms increasingly use machine learning to anticipate, segment, and target audiences based on inferred psychological attributes derived from interaction histories, content preferences, and passive engagement signals. This paper provides a comprehensive review of machine learning approaches to behavioral prediction in news contexts,

Behavioral Prediction and Psychological Targeting: Machine Learning Models for Audience Segmentation in Digital News Ecosystems Read More »

Algorithmic Personality Inference: How AI Recommendation Systems Construct and Deploy Psychological Profiles of Media Audiences

Author Name: Akhil Date: 27-03-2026 The deployment of artificial intelligence in media recommendation systems has enabled the construction of granular psychological profiles of users based on behavioral trace data, content interaction patterns, and passive digital signals. This paper provides a comprehensive theoretical and empirical analysis of how AI-driven recommendation systems infer, represent, and operationalize psychological constructs

Algorithmic Personality Inference: How AI Recommendation Systems Construct and Deploy Psychological Profiles of Media Audiences Read More »

Framing Effects in Political News: Cognitive Mechanisms Underlying Audience Interpretation and Belief Formation

Author Name: Roshika Date: 25-03-2026 News framing—the selection and emphasis of particular aspects of reality to promote specific interpretations, evaluations, and policy prescriptions—represents one of the most extensively studied phenomena in political communication research. This paper provides a comprehensive synthesis of framing effects research spanning Entman’s (1993) canonical definition through contemporary social media framing dynamics, with

Framing Effects in Political News: Cognitive Mechanisms Underlying Audience Interpretation and Belief Formation Read More »

Cognitive Overload and News Consumption: Measuring Attentional Depletion in the Digital Information Environment

Author Name: Megha Singh Date: 25-03-2026 The proliferation of digital news platforms, social media feeds, push notifications, and 24-hour news cycles has created an unprecedented information environment that systematically challenges human cognitive capacity. This paper provides a comprehensive examination of cognitive overload as a measurable psychological phenomenon in digital news consumption, synthesizing theoretical frameworks, empirical evidence,

Cognitive Overload and News Consumption: Measuring Attentional Depletion in the Digital Information Environment Read More »

Dark Triad Personality Traits and Social Media Engagement: Implications for Audience Profiling in Digital Journalism

Author Name: Mr. Tarun Panda Date: 25-03-2026 The Dark Triad of personality—comprising narcissism, Machiavellianism, and psychopathy—has emerged as a critical explanatory framework for understanding disruptive, antisocial, and disinformation-related behavior in digital media environments. This paper provides a comprehensive psychometric investigation of Dark Triad trait–social media engagement relationships, synthesizing evidence from 45+ empirical studies and examining the

Dark Triad Personality Traits and Social Media Engagement: Implications for Audience Profiling in Digital Journalism Read More »

Cognitive Style and News Media Preferences: A Psychometric Analysis of Audience Segmentation

Author Name: Mrs. Sonal Agarwal Date: 25-03-2026 Individual differences in cognitive processing style constitute a foundational but underexplored determinant of news media preferences, consumption depth, and source selection. This paper develops a comprehensive psychometric framework for audience segmentation based on cognitive style, integrating four validated constructs: Need for Cognition (Cacioppo & Petty, 1982), the Cognitive Reflection

Cognitive Style and News Media Preferences: A Psychometric Analysis of Audience Segmentation Read More »

The Big Five Personality Traits as Predictors of Media Consumption Patterns: A Psychometric Investigation

Author Name: Dr. Sundeep Katevarapu Date: 25-03-2026 The relationship between personality and media consumption has garnered significant scholarly attention as digital media ecosystems grow increasingly complex and personalized. This paper presents a comprehensive psychometric investigation into how the Big Five personality traits—Openness to Experience, Conscientiousness, Extraversion, Agreeableness, and Neuroticism (OCEAN)—predict diverse media consumption patterns across traditional

The Big Five Personality Traits as Predictors of Media Consumption Patterns: A Psychometric Investigation Read More »

Scroll to Top