Richard Huskey
Biographic Data
| ID | 138379 |
|---|---|
| NAME | Richard Huskey |
| GIVEN NAMES | Richard |
| FAMILY NAME | Huskey |
| SIGNATURE | HUSKEY R |
| AFFILIATIONS | University of California, Davis |
| ORCID | 0000-0002-4559-2439 |
| VERIFIED | Yes |
| TOTAL WORKS | 21 |
| TOTAL CITATIONS | 37 |
| AUTHOR COUNT | 21 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
GRE Thresholds, Filtering, and Equity: A Pandemic-Era Reassessment of Communication Doctoral Admissions
During the COVID-19 pandemic, Communication PhD programs reconsidered the use of the Graduate Record Examination (GRE) amid concerns about structural inequities in graduate admissions. We examined whether GRE requirements, particularly minimum score thresholds, may contribute to filtering, a mechanism by which standardized criteria disproportionately disadvantage some racial and ethnic groups. We conducted a content analysis of all U.S. Communica…
What Can Cognitive Load and Processing Fluency Tell Us About Difficult Processing
This experiment investigated the impacts of difficult processing in the context of a health narrative by integrating two distinct literatures: cognitive load and processing fluency. Difficult processing was manipulated via an auditory cue induction of reactive cognitive control (a manipulation of cognitive load) and language difficulty (a manipulation of processing fluency). We examined whether cognitive load can impact persuasion-relevant outcom…
Moving Behavioral Experimentation Online: A Tutorial and Some Recommendations for Drift Diffusion Modeling
Behavioral science demands skillful experimentation and high-quality data that are typically gathered in person. However, the COVID-19 pandemic forced many behavioral research laboratories to close. Thankfully, new tools for conducting online experiments allow researchers to elicit psychological responses and gather behavioral data with unprecedented precision. It is now possible to quickly conduct large-scale high-quality behavioral experiments …
Consider the time dimension: Theorizing and Formalizing Sequential Media Selection
Existing media-selection theories predominantly consider media selection at a static moment-in-time. However, such theorizing is out-of-step with today's media landscape, which is dominated by sequential media consumption where future media selection is dependent on previously selected media. Ignoring the dependencies among sequential media selection leads to a failure to theorize and model the time-evolving nature of media selection. To bridge t…
Computationally modeling mood management theory: A drift-diffusion model of people’s preferential choice for valence and arousal in media
Mood management theory (MMT) hypothesizes that people select entertainment content to maintain affective homeostasis. However, this hypothesis lacks a formal quantification of each affective attributes’ separate impact on an individual’s media content selection, as well as an integrated cognitive mechanism explaining media selection. Here we present a computational decision-making model that mathematically formalizes this affective media decision…
Broadcast information diffusion processes on social media networks: Exogenous events lead to more integrated public discourse
Understanding information diffusion is vital to explaining the good, bad, and ugly impacts of social media. Two types of processes govern information diffusion: broadcasting and viral spread. Viral spreading is when a message is diffused by peer-to-peer social connections, whereas broadcasting is characterized by influences that can come from outside of the peer-to-peer social network. How these processes shape public discourse is not well unders…
Creating Understanding: How Communicating Aligns Minds Jessica Gasiorek and R. Kelly Aune
Understanding is a two-way street. —Eleanor Roosevelt1 Mrs Roosevelt’s observation pre-dates the modern study of communication. Shannon had yet to publish his “mathematical theory of communication” (1948, p. 379); it would be another seven years before the field of communication began to coalesce around his ideas (Schramm, 1955), and the first Departments of Communication would form (Berlo, 1969). It is hard to understate just how influential Sha…
Flexible and Modular Brain Network Dynamics Characterize Flow Experiences During Media Use: A Functional Magnetic Resonance Imaging Study
Flow is thought to occur when both task difficulty and individual ability are high. Flow experiences are highly rewarding and are associated with well-being. Importantly, media use can be a source of flow. Communication scholars have a long history of theoretical inquiry into how flow biases media selection, how different media content results in flow, and how flow influences media processing and effects. However, the neurobiological basis of flo…
Broadcast Information Diffusion Processes on Social Media Networks: Exogenous Events Lead to More Integrated Public Discourse
Understanding information diffusion is vital to explaining the good, bad, and ugly impacts of social media. Two types of processes govern information diffusion: broadcasting and viral spread. Viral spreading is when a message is diffused by peer-to-peer social connections whereas broadcasting is characterized by influences that can come from outside of the peer-to-peer social network. How these processes shape public discourse is not well underst…
Situational factors shape moral judgements in the trolley dilemma in Eastern, Southern and Western countries in a culturally diverse sample
The extended Moral Foundations Dictionary (eMFD): Development and applications of a crowd-sourced approach to extracting moral intuitions from text
Narratives are Persuasive Because They are Easier to Understand: Examining Processing Fluency as a Mechanism of Narrative Persuasion
Theory suggests that people are more persuaded by information presented within a narrative. We argue there is room for greater understanding about why this may be the case. Accordingly, we 1) examine whether narratives are indeed more persuasive than non-narratives and 2) evaluate two theoretical mechanisms that could be responsible for these effects. Results from a laboratory-based, preregistered experiment ( N = 554) support our primary argumen…
The limited capacity model of motivated mediated message processing: Meta-analytically summarizing two decades of research
The Limited Capacity Model of Motivated Mediated Message Processing (LC4MP) aims to understand message processing dynamics. Despite 20 years of research, no meta-analysis has assessed LC4MP effects. We conducted a meta-analysis of the model to examine three theoretical research domains in the LC4MP: cognitive load, motivation, and memory. Results from 142 articles and 683 effects demonstrate that pooled effect sizes for research domain range from…
Network Neuroscience Reveals Distinct Neuromarkers of Flow During Media Use
Flow is characterized by a high level of intrinsic reward that results from a balance between task difficulty and individual ability. The Synchronization Theory of Flow offers an explanation for the neural basis of this process. It predicts an energetically-optimized, brain-network organization between cognitive control and reward regions when task difficulty and individual ability are balanced. While initial results provide support for structura…
The limited capacity model of motivated mediated message processing: Looking to the future
In a companion piece (Fisher, Keene, Huskey, & Weber, 2018), we reviewed the foundations and current state of the Limited Capacity Model of Motivated Mediated Message Processing (LC4MP). In this manuscript we return to the three areas investigated in our review: cognitive load, motivation, and memory. In each domain, we: (a) outline areas in which the LC4MP has produced unexpected or ambiguous findings; (b) look broadly at literature from biology…
The limited capacity model of motivated mediated message processing: Taking stock of the past
In the 15 years since its inception, the Limited Capacity Model of Motivated Mediated Message Processing (LC4MP) has contributed to understanding regarding the dynamics of message processing in a variety of domains. In this manuscript we outline the foundations and assumptions of the LC4MP, discussing salient research from biology, cognitive psychology, and communication upon which the model is built. We then conduct a systematic review of the LC…
Extracting Latent Moral Information from Text Narratives: Relevance, Challenges, and Solutions
Moral Foundations Theory (MFT) and the Model of Intuitive Morality and Exemplars (MIME) contend that moral judgments are built on a universal set of basic moral intuitions. A large body of research has supported many of MFT’s and the MIME’s central hypotheses. Yet, an important prerequisite of this research—the ability to extract latent moral content represented in media stimuli with a reliable procedure—has not been systematically studied. In th…
Charting a Future for fMRI in Communication Science
Neuroscientific investigations into communication phenomena using functional magnetic resonance imaging (fMRI) are becoming increasingly popular in communication science. This presents opportunities for new discoveries, but also for the rapid spread of questionable practices. Here, we look to the future of fMRI in communication science: first, highlighting and advocating for several relatively new methods that should enable communication scholars…
Things we know about media and morality
Brain Imaging in Communication Research: A Practical Guide to Understanding and Evaluating fMRI Studies
Core communication research questions are increasingly being investigated using brain imaging techniques. A majority of these studies apply a functional magnetic resonance imaging (fMRI) approach. This trend raises two important questions that we address in this article. First, under what conditions can fMRI methodology increase knowledge and refine communication theory? Second, how can editors, reviewers, and readers of communication journals di…
Neural Predictors of Message Effectiveness during Counterarguing in Antidrug Campaigns
A substantial amount of research has focused on predicting the effectiveness of persuasive messages. However, characteristics of both the message itself and its receiver can impact theoretically predicted effects. For example, recent work published in this journal demonstrated that issue involvement modulates the relationship between message sensation value (MSV) and argument strength (AS). When exposed to anti-cannabis public service announcemen…
Neural Predictors of Message Effectiveness during Counterarguing in Antidrug Campaigns
A substantial amount of research has focused on predicting the effectiveness of persuasive messages. However, characteristics of both the message itself and its receiver can impact theoretically predicted effects. For example, recent work published in this journal demonstrated that issue involvement modulates the relationship between message sensation value (MSV) and argument strength (AS). When exposed to anti-cannabis public service announcemen…
Extracting Latent Moral Information from Text Narratives: Relevance, Challenges, and Solutions
Moral Foundations Theory (MFT) and the Model of Intuitive Morality and Exemplars (MIME) contend that moral judgments are built on a universal set of basic moral intuitions. A large body of research has supported many of MFT’s and the MIME’s central hypotheses. Yet, an important prerequisite of this research—the ability to extract latent moral content represented in media stimuli with a reliable procedure—has not been systematically studied. In th…
Brain Imaging in Communication Research: A Practical Guide to Understanding and Evaluating fMRI Studies
Core communication research questions are increasingly being investigated using brain imaging techniques. A majority of these studies apply a functional magnetic resonance imaging (fMRI) approach. This trend raises two important questions that we address in this article. First, under what conditions can fMRI methodology increase knowledge and refine communication theory? Second, how can editors, reviewers, and readers of communication journals di…
Situational factors shape moral judgements in the trolley dilemma in Eastern, Southern and Western countries in a culturally diverse sample
The limited capacity model of motivated mediated message processing: Taking stock of the past
In the 15 years since its inception, the Limited Capacity Model of Motivated Mediated Message Processing (LC4MP) has contributed to understanding regarding the dynamics of message processing in a variety of domains. In this manuscript we outline the foundations and assumptions of the LC4MP, discussing salient research from biology, cognitive psychology, and communication upon which the model is built. We then conduct a systematic review of the LC…
Consider the time dimension: Theorizing and Formalizing Sequential Media Selection
Existing media-selection theories predominantly consider media selection at a static moment-in-time. However, such theorizing is out-of-step with today's media landscape, which is dominated by sequential media consumption where future media selection is dependent on previously selected media. Ignoring the dependencies among sequential media selection leads to a failure to theorize and model the time-evolving nature of media selection. To bridge t…
Charting a Future for fMRI in Communication Science
Neuroscientific investigations into communication phenomena using functional magnetic resonance imaging (fMRI) are becoming increasingly popular in communication science. This presents opportunities for new discoveries, but also for the rapid spread of questionable practices. Here, we look to the future of fMRI in communication science: first, highlighting and advocating for several relatively new methods that should enable communication scholars…
Moving Behavioral Experimentation Online: A Tutorial and Some Recommendations for Drift Diffusion Modeling
Behavioral science demands skillful experimentation and high-quality data that are typically gathered in person. However, the COVID-19 pandemic forced many behavioral research laboratories to close. Thankfully, new tools for conducting online experiments allow researchers to elicit psychological responses and gather behavioral data with unprecedented precision. It is now possible to quickly conduct large-scale high-quality behavioral experiments …
The limited capacity model of motivated mediated message processing: Looking to the future
In a companion piece (Fisher, Keene, Huskey, & Weber, 2018), we reviewed the foundations and current state of the Limited Capacity Model of Motivated Mediated Message Processing (LC4MP). In this manuscript we return to the three areas investigated in our review: cognitive load, motivation, and memory. In each domain, we: (a) outline areas in which the LC4MP has produced unexpected or ambiguous findings; (b) look broadly at literature from biology…
Things we know about media and morality
Neural Predictors of Message Effectiveness during Counterarguing in Antidrug Campaigns
A substantial amount of research has focused on predicting the effectiveness of persuasive messages. However, characteristics of both the message itself and its receiver can impact theoretically predicted effects. For example, recent work published in this journal demonstrated that issue involvement modulates the relationship between message sensation value (MSV) and argument strength (AS). When exposed to anti-cannabis public service announcemen…
Brain Imaging in Communication Research: A Practical Guide to Understanding and Evaluating fMRI Studies
Core communication research questions are increasingly being investigated using brain imaging techniques. A majority of these studies apply a functional magnetic resonance imaging (fMRI) approach. This trend raises two important questions that we address in this article. First, under what conditions can fMRI methodology increase knowledge and refine communication theory? Second, how can editors, reviewers, and readers of communication journals di…
Network Neuroscience Reveals Distinct Neuromarkers of Flow During Media Use
Flow is characterized by a high level of intrinsic reward that results from a balance between task difficulty and individual ability. The Synchronization Theory of Flow offers an explanation for the neural basis of this process. It predicts an energetically-optimized, brain-network organization between cognitive control and reward regions when task difficulty and individual ability are balanced. While initial results provide support for structura…
The limited capacity model of motivated mediated message processing: Looking to the future
In a companion piece (Fisher, Keene, Huskey, & Weber, 2018), we reviewed the foundations and current state of the Limited Capacity Model of Motivated Mediated Message Processing (LC4MP). In this manuscript we return to the three areas investigated in our review: cognitive load, motivation, and memory. In each domain, we: (a) outline areas in which the LC4MP has produced unexpected or ambiguous findings; (b) look broadly at literature from biology…
The limited capacity model of motivated mediated message processing: Taking stock of the past
In the 15 years since its inception, the Limited Capacity Model of Motivated Mediated Message Processing (LC4MP) has contributed to understanding regarding the dynamics of message processing in a variety of domains. In this manuscript we outline the foundations and assumptions of the LC4MP, discussing salient research from biology, cognitive psychology, and communication upon which the model is built. We then conduct a systematic review of the LC…
Extracting Latent Moral Information from Text Narratives: Relevance, Challenges, and Solutions
Moral Foundations Theory (MFT) and the Model of Intuitive Morality and Exemplars (MIME) contend that moral judgments are built on a universal set of basic moral intuitions. A large body of research has supported many of MFT’s and the MIME’s central hypotheses. Yet, an important prerequisite of this research—the ability to extract latent moral content represented in media stimuli with a reliable procedure—has not been systematically studied. In th…
Charting a Future for fMRI in Communication Science
Neuroscientific investigations into communication phenomena using functional magnetic resonance imaging (fMRI) are becoming increasingly popular in communication science. This presents opportunities for new discoveries, but also for the rapid spread of questionable practices. Here, we look to the future of fMRI in communication science: first, highlighting and advocating for several relatively new methods that should enable communication scholars…
Things we know about media and morality
The limited capacity model of motivated mediated message processing: Meta-analytically summarizing two decades of research
The Limited Capacity Model of Motivated Mediated Message Processing (LC4MP) aims to understand message processing dynamics. Despite 20 years of research, no meta-analysis has assessed LC4MP effects. We conducted a meta-analysis of the model to examine three theoretical research domains in the LC4MP: cognitive load, motivation, and memory. Results from 142 articles and 683 effects demonstrate that pooled effect sizes for research domain range from…
The extended Moral Foundations Dictionary (eMFD): Development and applications of a crowd-sourced approach to extracting moral intuitions from text
Narratives are Persuasive Because They are Easier to Understand: Examining Processing Fluency as a Mechanism of Narrative Persuasion
Theory suggests that people are more persuaded by information presented within a narrative. We argue there is room for greater understanding about why this may be the case. Accordingly, we 1) examine whether narratives are indeed more persuasive than non-narratives and 2) evaluate two theoretical mechanisms that could be responsible for these effects. Results from a laboratory-based, preregistered experiment ( N = 554) support our primary argumen…
Creating Understanding: How Communicating Aligns Minds Jessica Gasiorek and R. Kelly Aune
Understanding is a two-way street. —Eleanor Roosevelt1 Mrs Roosevelt’s observation pre-dates the modern study of communication. Shannon had yet to publish his “mathematical theory of communication” (1948, p. 379); it would be another seven years before the field of communication began to coalesce around his ideas (Schramm, 1955), and the first Departments of Communication would form (Berlo, 1969). It is hard to understate just how influential Sha…
Flexible and Modular Brain Network Dynamics Characterize Flow Experiences During Media Use: A Functional Magnetic Resonance Imaging Study
Flow is thought to occur when both task difficulty and individual ability are high. Flow experiences are highly rewarding and are associated with well-being. Importantly, media use can be a source of flow. Communication scholars have a long history of theoretical inquiry into how flow biases media selection, how different media content results in flow, and how flow influences media processing and effects. However, the neurobiological basis of flo…
Broadcast Information Diffusion Processes on Social Media Networks: Exogenous Events Lead to More Integrated Public Discourse
Understanding information diffusion is vital to explaining the good, bad, and ugly impacts of social media. Two types of processes govern information diffusion: broadcasting and viral spread. Viral spreading is when a message is diffused by peer-to-peer social connections whereas broadcasting is characterized by influences that can come from outside of the peer-to-peer social network. How these processes shape public discourse is not well underst…
Situational factors shape moral judgements in the trolley dilemma in Eastern, Southern and Western countries in a culturally diverse sample
Computationally modeling mood management theory: A drift-diffusion model of people’s preferential choice for valence and arousal in media
Mood management theory (MMT) hypothesizes that people select entertainment content to maintain affective homeostasis. However, this hypothesis lacks a formal quantification of each affective attributes’ separate impact on an individual’s media content selection, as well as an integrated cognitive mechanism explaining media selection. Here we present a computational decision-making model that mathematically formalizes this affective media decision…
Broadcast information diffusion processes on social media networks: Exogenous events lead to more integrated public discourse
Understanding information diffusion is vital to explaining the good, bad, and ugly impacts of social media. Two types of processes govern information diffusion: broadcasting and viral spread. Viral spreading is when a message is diffused by peer-to-peer social connections, whereas broadcasting is characterized by influences that can come from outside of the peer-to-peer social network. How these processes shape public discourse is not well unders…
Consider the time dimension: Theorizing and Formalizing Sequential Media Selection
Existing media-selection theories predominantly consider media selection at a static moment-in-time. However, such theorizing is out-of-step with today's media landscape, which is dominated by sequential media consumption where future media selection is dependent on previously selected media. Ignoring the dependencies among sequential media selection leads to a failure to theorize and model the time-evolving nature of media selection. To bridge t…
What Can Cognitive Load and Processing Fluency Tell Us About Difficult Processing
This experiment investigated the impacts of difficult processing in the context of a health narrative by integrating two distinct literatures: cognitive load and processing fluency. Difficult processing was manipulated via an auditory cue induction of reactive cognitive control (a manipulation of cognitive load) and language difficulty (a manipulation of processing fluency). We examined whether cognitive load can impact persuasion-relevant outcom…
Moving Behavioral Experimentation Online: A Tutorial and Some Recommendations for Drift Diffusion Modeling
Behavioral science demands skillful experimentation and high-quality data that are typically gathered in person. However, the COVID-19 pandemic forced many behavioral research laboratories to close. Thankfully, new tools for conducting online experiments allow researchers to elicit psychological responses and gather behavioral data with unprecedented precision. It is now possible to quickly conduct large-scale high-quality behavioral experiments …
GRE Thresholds, Filtering, and Equity: A Pandemic-Era Reassessment of Communication Doctoral Admissions
During the COVID-19 pandemic, Communication PhD programs reconsidered the use of the Graduate Record Examination (GRE) amid concerns about structural inequities in graduate admissions. We examined whether GRE requirements, particularly minimum score thresholds, may contribute to filtering, a mechanism by which standardized criteria disproportionately disadvantage some racial and ethnic groups. We conducted a content analysis of all U.S. Communica…
Psychology (18 works) · Computer Science (16 works) · Epistemology (9 works) · Social Psychology (8 works) · Cognitive psychology (7 works) · Neuroscience (7 works) · Sociology (7 works) · Cognition (6 works) · Cognitive science (5 works) · Artificial Intelligence (4 works)